WO2023137660A1 - 无线通信的方法、终端设备和网络设备 - Google Patents

无线通信的方法、终端设备和网络设备 Download PDF

Info

Publication number
WO2023137660A1
WO2023137660A1 PCT/CN2022/072962 CN2022072962W WO2023137660A1 WO 2023137660 A1 WO2023137660 A1 WO 2023137660A1 CN 2022072962 W CN2022072962 W CN 2022072962W WO 2023137660 A1 WO2023137660 A1 WO 2023137660A1
Authority
WO
WIPO (PCT)
Prior art keywords
information
terminal device
algorithm
model
computing resources
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/CN2022/072962
Other languages
English (en)
French (fr)
Inventor
田文强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Oppo Mobile Telecommunications Corp Ltd
Original Assignee
Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority to EP22921105.7A priority Critical patent/EP4468764A4/en
Priority to PCT/CN2022/072962 priority patent/WO2023137660A1/zh
Priority to MX2024008937A priority patent/MX2024008937A/es
Priority to CN202280088970.4A priority patent/CN118556412A/zh
Publication of WO2023137660A1 publication Critical patent/WO2023137660A1/zh
Priority to US18/775,555 priority patent/US20240373208A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W8/00—Network data management
    • H04W8/22—Processing or transfer of terminal data, e.g. status or physical capabilities
    • H04W8/24—Transfer of terminal data

Definitions

  • the embodiments of the present application relate to the communication field, and more specifically, relate to a wireless communication method, a terminal device, and a network device.
  • NR New Radio
  • channel estimation channel state information
  • CSI Channel State Information
  • beam management positioning
  • mobility management functions etc.
  • network models or algorithms are often highly dependent on computing resources.
  • the processing time of network models or algorithms fluctuates and delays, which will greatly affect the performance of network models or algorithms. Therefore, in the case of insufficient computing resources, how to avoid damage to the performance of network models or algorithms is an urgent problem to be solved.
  • the embodiment of the present application provides a wireless communication method, a terminal device, and a network device.
  • the network model or algorithm can be switched.
  • the complexity of the switched model or algorithm is reduced, and the amount of information input to the switched model or algorithm is increased. Therefore, performance damage of the network model or algorithm can be avoided in the case of insufficient computing resources.
  • a wireless communication method includes:
  • the terminal device switches the network model used to realize the first function from the first model to the second model, and the input of the first model is the first information set, and the input of the second model is the second information set; or,
  • the terminal device switches the algorithm used to realize the first function from the first algorithm to the second algorithm, and the input of the first algorithm is the first information set, and the input of the second algorithm is the second information set;
  • the complexity of the second model is lower than that of the first model
  • the complexity of the second algorithm is lower than that of the first algorithm
  • the amount of information included in the second information set is greater than the amount of information included in the first information set
  • the first function includes at least one of the following: downlink channel estimation, downlink beam management, downlink positioning, CSI feedback, and mobility management.
  • a wireless communication method in a second aspect, includes:
  • the network device sends the first indication information to the terminal device
  • the first instruction information is used to instruct the terminal device to switch the network model used to realize the first function from the first model to the second model when the computing resources are insufficient, and the input of the first model is the first information set, and the input of the second model is the second information set; or, the first instruction information is used to instruct the terminal device to switch the algorithm used to realize the first function from the first algorithm to the second algorithm when the computing resources are insufficient, and the input of the first algorithm is the first information set, and the input of the second algorithm is the second information set;
  • the complexity of the second model is lower than that of the first model
  • the complexity of the second algorithm is lower than that of the first algorithm
  • the amount of information included in the second information set is greater than the amount of information included in the first information set
  • the first function includes at least one of the following: downlink channel estimation, downlink beam management, downlink positioning, CSI feedback, and mobility management.
  • a wireless communication method includes:
  • the network device switches the network model used to realize the second function from a third model to a fourth model, and the input of the third model is a third information set, and the input of the fourth model is a fourth information set; or,
  • the network device switches the algorithm for realizing the second function from the third algorithm to the fourth algorithm, and the input of the third algorithm is a third information set, and the input of the fourth algorithm is a fourth information set;
  • the complexity of the fourth model is lower than that of the third model
  • the complexity of the fourth algorithm is lower than that of the third algorithm
  • the amount of information included in the fourth information set is greater than the amount of information included in the third information set
  • the second function includes at least one of the following: uplink channel estimation, uplink beam management, uplink positioning, CSI feedback, and mobility management.
  • a method for wireless communication includes:
  • the terminal device receives the second indication information sent by the network device
  • the second instruction information is used to instruct the network device to switch the network model used to realize the second function from the third model to the fourth model when the computing resources are insufficient, and the input of the third model is the third information set, and the input of the fourth model is the fourth information set; or, the second instruction information is used to instruct the network device to switch the algorithm used to realize the second function from the third algorithm to the fourth algorithm when the computing resources are insufficient, and the input of the third algorithm is the third information set, and the input of the fourth algorithm is the fourth information set;
  • the complexity of the fourth model is lower than that of the third model
  • the complexity of the fourth algorithm is lower than that of the third algorithm
  • the amount of information included in the fourth information set is greater than the amount of information included in the third information set
  • the second function includes at least one of the following: uplink channel estimation, uplink beam management, uplink positioning, CSI feedback, and mobility management.
  • a terminal device configured to execute the method in the first aspect above.
  • the terminal device includes a functional module for executing the method in the first aspect above.
  • a network device configured to execute the method in the second aspect above.
  • the network device includes a functional module for executing the method in the second aspect above.
  • a network device configured to execute the method in the third aspect above.
  • the terminal device includes a functional module for executing the method in the above third aspect.
  • a terminal device configured to execute the method in the fourth aspect above.
  • the terminal device includes a functional module for executing the method in the fourth aspect above.
  • a ninth aspect provides a terminal device, including a processor and a memory; the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory, so that the terminal device executes the method in the first aspect above.
  • a network device including a processor and a memory; the memory is used to store a computer program, and the processor is used to invoke and run the computer program stored in the memory, so that the network device executes the method in the second aspect above.
  • a network device including a processor and a memory; the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory, so that the network device executes the method in the third aspect above.
  • a terminal device including a processor and a memory; the memory is used to store a computer program, and the processor is used to invoke and run the computer program stored in the memory, so that the terminal device executes the method in the fourth aspect above.
  • an apparatus for realizing the method in any one of the first aspect to the fourth aspect above.
  • the device includes: a processor, configured to invoke and run a computer program from the memory, so that the device installed with the device executes the method in any one of the first aspect to the fourth aspect above.
  • a fourteenth aspect there is provided a computer-readable storage medium for storing a computer program, and the computer program causes a computer to execute the method in any one of the above-mentioned first aspect to the fourth aspect.
  • a computer program product including computer program instructions, the computer program instructions cause a computer to execute the method in any one of the above first to fourth aspects.
  • a computer program which, when run on a computer, causes the computer to execute the method in any one of the first to fourth aspects above.
  • the terminal device switches the network model used to realize the first function from the first model to the second model, the complexity of the second model is lower than that of the first model, and the amount of information input into the second model is more than the amount of information input into the first model, so that the performance of the network model can be avoided in the case of insufficient computing resources.
  • the terminal device switches the algorithm used to realize the first function from the first algorithm to the second algorithm, the complexity of the second algorithm is lower than that of the first algorithm, and the amount of information input to the second algorithm is more than the amount of information input to the first algorithm, thereby avoiding performance damage of the algorithm in the case of insufficient computing resources.
  • the network device switches the network model used to realize the second function from the third model to the fourth model, the complexity of the fourth model is lower than that of the third model, and the amount of information input into the fourth model is more than the amount of information input into the third model, so that performance damage of the network model can be avoided in the case of insufficient computing resources.
  • the network device switches the algorithm used to realize the second function from the third algorithm to the fourth algorithm, the complexity of the fourth algorithm is lower than that of the third algorithm, and the amount of information input into the fourth algorithm is more than the amount of information input into the third algorithm, so that the performance of the algorithm can be avoided in the case of insufficient computing resources.
  • FIG. 1 is a schematic diagram of a communication system architecture applied in an embodiment of the present application.
  • Fig. 2 is a schematic diagram of an AI-based wireless communication provided by the present application.
  • Fig. 3 is a schematic flowchart of a wireless communication method provided according to an embodiment of the present application.
  • Fig. 4 is a schematic diagram of third information and fourth information provided according to an embodiment of the present application.
  • Fig. 5 is a schematic diagram of configuration and update of a downlink reference signal according to an embodiment of the present application.
  • Fig. 6 is a schematic flowchart of another wireless communication method provided according to an embodiment of the present application.
  • Fig. 7 is a schematic flowchart of another wireless communication method provided according to an embodiment of the present application.
  • Fig. 8 is a schematic diagram of an uplink reference signal configuration and update provided according to an embodiment of the present application.
  • Fig. 9 is a schematic diagram of an update of a CSI feedback scheme provided according to an embodiment of the present application.
  • Fig. 10 is a schematic diagram of another downlink reference signal configuration and update provided according to an embodiment of the present application.
  • Fig. 11 is a schematic flowchart of another wireless communication method provided according to an embodiment of the present application.
  • Fig. 12 is a schematic block diagram of a terminal device provided according to an embodiment of the present application.
  • Fig. 13 is a schematic block diagram of a network device provided according to an embodiment of the present application.
  • Fig. 14 is a schematic block diagram of another network device provided according to an embodiment of the present application.
  • Fig. 15 is a schematic block diagram of another terminal device provided according to an embodiment of the present application.
  • Fig. 16 is a schematic block diagram of a communication device provided according to an embodiment of the present application.
  • Fig. 17 is a schematic block diagram of an apparatus provided according to an embodiment of the present application.
  • Fig. 18 is a schematic block diagram of a communication system provided according to an embodiment of the present application.
  • GSM Global System of Mobile communication
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Division Multiple Access
  • GPRS General Packet Radio Service
  • LTE Long Term Evolution
  • LTE-A Long term evolution
  • NR New Radio
  • NTN Non-Terrestrial Networks
  • UMTS Universal Mobile Telecommunications System
  • WLAN Wireless Local Area Networks
  • IoT Internet of Things
  • Wireless Fidelity Wireless Fidelity
  • WiFi fifth-generation communications
  • mobile communication systems will not only support traditional communication, but also support, for example, device-to-device (Device to Device, D2D) communication, machine-to-machine (Machine to Machine, M2M) communication, machine type communication (Machine Type Communication, MTC), vehicle-to-vehicle (V2V) communication, or Internet of Vehicles (Vehicle to everything, V2X) communication, etc.
  • D2D Device to Device
  • M2M Machine to Machine
  • MTC Machine Type Communication
  • V2V vehicle-to-vehicle
  • Internet of Vehicles Vehicle to everything, V2X
  • the communication system in the embodiment of the present application may be applied to a carrier aggregation (Carrier Aggregation, CA) scenario, may also be applied to a dual connectivity (Dual Connectivity, DC) scenario, may also be applied to an independent (Standalone, SA) network deployment scenario, or may be applied to a non-independent (Non-Standalone, NSA) network deployment scenario.
  • Carrier Aggregation, CA Carrier Aggregation
  • DC Dual Connectivity
  • SA independent network deployment scenario
  • NSA non-independent network deployment scenario.
  • the communication system in the embodiment of the present application may be applied to an unlicensed spectrum, where the unlicensed spectrum may also be considered a shared spectrum; or, the communication system in the embodiment of the present application may also be applied to a licensed spectrum, where the licensed spectrum may also be considered an unshared spectrum.
  • the communication system in the embodiment of the present application can be applied to the FR1 frequency band (corresponding to the frequency range of 410 MHz to 7.125 GHz), can also be applied to the FR2 frequency band (corresponding to the frequency range of 24.25 GHz to 52.6 GHz), and can also be applied to new frequency bands such as corresponding to the 52.6 GHz to 71 GHz frequency band or high frequency bands corresponding to the 71 GHz to 114.25 GHz frequency band.
  • Embodiments of the present application describe various embodiments in conjunction with network equipment and terminal equipment, wherein the terminal equipment may also be referred to as user equipment (User Equipment, UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile equipment, user terminal, terminal, wireless communication equipment, user agent or user device, etc.
  • user equipment User Equipment, UE
  • access terminal user unit
  • user station mobile station
  • mobile station mobile station
  • remote station remote terminal
  • mobile equipment user terminal
  • terminal wireless communication equipment
  • user agent or user device wireless communication equipment
  • a terminal device can be a station (STATION, ST) in a WLAN, a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a wireless local loop (Wireless Local Loop, WLL) station, a personal digital assistant (Personal Digital Assistant, PDA) device, a handheld device with wireless communication capabilities, a computing device or other processing devices connected to a wireless modem, vehicle-mounted devices, wearable devices, next-generation communications
  • SIP Session Initiation Protocol
  • WLL Wireless Local Loop
  • PDA Personal Digital Assistant
  • the system is, for example, a terminal device in an NR network, or a terminal device in a public land mobile network (Public Land Mobile Network, PLMN) network that will evolve in the future.
  • PLMN Public Land Mobile Network
  • the terminal device can be deployed on land, including indoor or outdoor, handheld, wearable or vehicle-mounted; it can also be deployed on water (such as ships, etc.); it can also be deployed in the air (such as on airplanes, balloons, and satellites, etc.).
  • the terminal device may be a mobile phone (Mobile Phone), a tablet computer (Pad), a computer with wireless transceiver function, a virtual reality (Virtual Reality, VR) terminal device, an augmented reality (Augmented Reality, AR) terminal device, a wireless terminal device in industrial control (industrial control), a wireless terminal device in self driving, a wireless terminal device in remote medical (remote medical), a smart grid (smart g Rid), wireless terminal equipment in transportation safety, wireless terminal equipment in smart city or wireless terminal equipment in smart home, vehicle communication equipment, wireless communication chip/application specific integrated circuit (ASIC)/system-on-chip (System on Chip, SoC), etc.
  • ASIC application specific integrated circuit
  • SoC System on Chip
  • the terminal device may also be a wearable device.
  • Wearable devices can also be called wearable smart devices, which is a general term for the application of wearable technology to intelligently design daily wear and develop wearable devices, such as glasses, gloves, watches, clothing and shoes.
  • a wearable device is a portable device that is worn directly on the body or integrated into the user's clothing or accessories. Wearable devices are not only a hardware device, but also achieve powerful functions through software support, data interaction, and cloud interaction.
  • Wearable smart devices in a broad sense include full-featured, large-sized devices that do not rely on smartphones to achieve complete or partial functions, such as smart watches or smart glasses, and those that only focus on a certain type of application function and need to be used in conjunction with other devices such as smart phones, such as smart bracelets for physical sign monitoring, smart jewelry, etc.
  • the network device may be a device for communicating with a mobile device, and the network device may be an access point (Access Point, AP) in WLAN, a base station (Base Transceiver Station, BTS) in GSM or CDMA, or a base station (NodeB, NB) in WCDMA, or an evolved base station (Evolutional Node B, eNB or eNodeB) in LTE, or a relay station or access point, or a vehicle-mounted device, a wearable device And the network equipment or the base station (gNB) in the NR network or the network equipment in the future evolution PLMN network or the network equipment in the NTN network, etc.
  • AP Access Point
  • BTS Base Transceiver Station
  • NodeB, NB base station
  • Evolutional Node B, eNB or eNodeB evolved base station
  • LTE Long Term Evolution
  • gNB network equipment
  • gNB network equipment in the future evolution PLMN network or the network equipment in the NTN network, etc
  • the network device may have a mobile feature, for example, the network device may be a mobile device.
  • the network equipment may be a satellite, balloon station.
  • the satellite may be a low earth orbit (low earth orbit, LEO) satellite, a medium earth orbit (medium earth orbit, MEO) satellite, a geostationary earth orbit (geosynchronous earth orbit, GEO) satellite, a high elliptical orbit (High Elliptical Orbit, HEO) satellite, etc.
  • the network device may also be a base station installed on land, in water, or other locations.
  • the network device may provide services for a cell, and the terminal device communicates with the network device through the transmission resources (for example, frequency domain resources, or spectrum resources) used by the cell.
  • the cell may be a cell corresponding to the network device (such as a base station), and the cell may belong to a macro base station or a base station corresponding to a small cell.
  • the small cells here may include: Metro cell, Micro cell, Pico cell, Femto cell to cell), etc. These small cells have the characteristics of small coverage and low transmission power, and are suitable for providing high-speed data transmission services.
  • the communication system 100 may include a network device 110, and the network device 110 may be a device for communicating with a terminal device 120 (or called a communication terminal, terminal).
  • the network device 110 can provide communication coverage for a specific geographical area, and can communicate with terminal devices located in the coverage area.
  • FIG. 1 exemplarily shows one network device and two terminal devices.
  • the communication system 100 may include multiple network devices and each network device may include other numbers of terminal devices within the coverage area, which is not limited in this embodiment of the present application.
  • the communication system 100 may further include other network entities such as a network controller and a mobility management entity, which is not limited in this embodiment of the present application.
  • the communication device may include a network device 110 and a terminal device 120 with communication functions.
  • the network device 110 and the terminal device 120 may be the specific devices described above, which will not be described in detail here; the communication device may also include other devices in the communication system 100, such as network controllers, mobility management entities and other network entities, which are not limited in this embodiment of the application.
  • the first communication device may be a terminal device, such as a mobile phone, a machine facility, a customer premise equipment (CPE), an industrial device, a vehicle, etc.
  • the second communication device may be a peer communication device of the first communication device, such as a network device, a mobile phone, an industrial device, a vehicle, etc.
  • CPE customer premise equipment
  • the first communication device may be a terminal device, such as a mobile phone, a machine facility, a customer premise equipment (CPE), an industrial device, a vehicle, etc.
  • CPE customer premise equipment
  • the second communication device may be a peer communication device of the first communication device, such as a network device, a mobile phone, an industrial device, a vehicle, etc.
  • description is made by taking the first communication device as a terminal device and the second communication device as a network device as a specific example.
  • the "indication" mentioned in the embodiments of the present application may be a direct indication, may also be an indirect indication, and may also mean that there is an association relationship.
  • a indicates B which may mean that A directly indicates B, for example, B can be obtained through A; it may also indicate that A indirectly indicates B, for example, A indicates C, and B can be obtained through C; it may also indicate that there is an association relationship between A and B.
  • the term "corresponding" may indicate that there is a direct or indirect correspondence between the two, or that there is an association between the two, or that it indicates and is indicated, or configures and is configured.
  • predefinition or “preconfiguration” can be realized by pre-saving corresponding codes, tables or other methods that can be used to indicate relevant information in devices (for example, including terminal devices and network devices), and this application does not limit its specific implementation.
  • pre-defined may refer to defined in the protocol.
  • the "protocol” may refer to a standard protocol in the communication field, for example, may include the LTE protocol, the NR protocol, and related protocols applied to future communication systems, which is not limited in the present application.
  • AI-based solutions are more and more applied in wireless communication systems, for example, by relying on artificial intelligence: CSI feedback problem, as shown in (a) in Figure 2, through the introduction of AI encoder and AI decoder, the compression and feedback of CSI information based on AI is realized; channel estimation problem, as shown in Figure 2 (b), realizes high-performance estimation of a given channel through an AI channel estimator; positioning problem, as shown in Figure 2 (c), relies on positioning channel information through an AI-based positioning algorithm, and obtains High-precision positioning results; beam management problems, as shown in (d) in Figure 2, through AI-based beam management algorithms, based on known beam information, to obtain preferred or more refined beam information, or to obtain predictions for future beam information.
  • AI-based wireless communication solutions For AI-based wireless communication solutions (the scope of discussion of this application is not limited to AI-based wireless communication solutions, it can also be oriented to ordinary wireless communication solutions. These solutions essentially have a degree of dependence on resources, such as computing resources. However, since AI-based wireless communication solutions often rely more on the above-mentioned resources, the description of this application uses AI-based wireless communication solutions as an example to illustrate this problem. It can be considered that the methods described in this application are also applicable to ordinary wireless communication solutions). Only resources can realize the rapid completion of complex calculations, that is, the corresponding wireless communication problems can be solved only under the conditions of the above resources.
  • AI-based wireless communication solution As an example, the relationship between computing resources, computing time, and computing accuracy is mutually influential. Without considering the influence of other factors, if there is a problem of insufficient computing resources, it often cannot satisfy the effect of fast computing completion and simultaneous acquisition of high-precision results.
  • FIG. 3 is a schematic flowchart of a wireless communication method 200 according to an embodiment of the present application. As shown in FIG. 3 , the wireless communication method 200 may include at least part of the following content:
  • the terminal device switches the network model used to realize the first function from the first model to a second model, and the input of the first model is a first information set, and the input of the second model is a second information set; or, when the computing resources of the terminal device are insufficient, the terminal device switches the algorithm used to realize the first function from the first algorithm to the second algorithm, and the input of the first algorithm is the first information set, and the input of the second algorithm is a second information set; wherein, the complexity of the second model is lower than that of the first model, The complexity of the second algorithm is lower than that of the first algorithm, the amount of information included in the second information set is greater than the amount of information included in the first information set, and the first function includes at least one of the following: downlink channel estimation, downlink beam management, downlink positioning, CSI feedback, and mobility management.
  • the main consideration in this application is that when the resources required for machine learning and neural networks are limited, such as computing resources (fixed computing resources or real-time computing resources), more available information can be used as the input of the network model or algorithm to compensate for the performance loss of the network model or algorithm caused by the limited computing resources.
  • computing resources fixed computing resources or real-time computing resources
  • the first model and the second model may be AI models or non-AI models, which is not limited in the present application.
  • the terminal device switches the network model used to realize the first function from the first model to the second model, the complexity of the second model is lower than that of the first model, and the amount of information input into the second model is more than the amount of information input into the first model, thereby avoiding performance damage of the network model in the case of insufficient computing resources.
  • the terminal device switches the algorithm used to realize the first function from the first algorithm to the second algorithm, the complexity of the second algorithm is lower than that of the first algorithm, and the amount of information input to the second algorithm is more than the amount of information input to the first algorithm, thereby avoiding performance damage of the algorithm in the case of insufficient computing resources. That is to say, what this application seeks is no loss at the performance level, rather than pursuing higher performance under a more complex model.
  • the first function is downlink channel estimation
  • the first information set includes information for realizing downlink channel estimation
  • the second information set includes information for realizing downlink channel estimation.
  • the information used to realize downlink channel estimation may be downlink channel information.
  • more downlink reference signal resources such as configuring more dense downlink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain downlink channel information more accurately, that is, to obtain the information included in the second information set for realizing downlink channel estimation.
  • the first function is downlink beam management
  • the first information set includes information for realizing downlink beam management
  • the second information set includes information for realizing downlink beam management.
  • the information used to implement downlink beam management may be downlink beam information.
  • more downlink reference signal resources such as configuring more dense downlink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain downlink beam information more accurately, that is, obtain the information used to implement downlink beam management contained in the second information set.
  • the first information set includes information for realizing downlink positioning
  • the second information set includes information for realizing downlink positioning.
  • the information used to implement downlink positioning may be downlink location information.
  • more downlink reference signal resources such as configuring more dense downlink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain the downlink position information more accurately, that is, obtain the information used to implement downlink positioning contained in the second information set.
  • the first function is CSI feedback
  • the first information set includes information for implementing CSI feedback
  • the second information set includes information for implementing CSI feedback.
  • the information used to implement CSI feedback may be CSI information.
  • more feedback bits that is, the second information set includes CSI information carried by more CSI feedback bits
  • more feedback bits will make the feedback CSI information carry more accurate CSI information, which is beneficial to obtain a better CSI recovery effect on the network side.
  • the first function is mobility management
  • the first information set includes information for implementing mobility management
  • the second information set includes information for implementing mobility management.
  • the information used to implement mobility management may be mobility information.
  • more reference signal resources such as configuring more dense reference signals in the time domain and frequency domain, using a larger configuration bandwidth, etc., it is helpful to obtain mobility information more accurately, that is, to obtain the information used to implement mobility management included in the second information set.
  • the terminal device receives first information and second information respectively; wherein, the first information is determined based on computing resources available to the terminal device within a first duration, and the first information is used to configure first downlink reference signal resource information; the second information is determined based on computing resources available to the terminal device within a second duration, and the second information is used to configure second downlink reference signal resource information; the computing resources available within the first duration are more than the computing resources available within the second duration. Further, the terminal device obtains the first information set according to the first downlink reference signal resource information, and the terminal device obtains the second information set according to the second downlink reference signal resource information.
  • the terminal device respectively receives the first information and the second information sent by the network device.
  • the terminal device may also receive the first information and the second information respectively from other terminal devices. This application is not limited to this.
  • this embodiment does not limit the length of the first duration, for example, when the length of the first duration is relatively short, the first duration may be regarded as a moment.
  • this embodiment does not limit the length of the second duration. For example, when the second duration is relatively short, the second duration may be regarded as a moment.
  • the first information is also used to configure the first model, and/or the second information is also used to configure the second model. That is, the first information may configure the first downlink reference signal resource information and the first model at the same time, and the second information may configure the second downlink reference signal resource information and the second model at the same time.
  • the terminal device switches the network model used to realize the first function from the first model to the second model.
  • the first information is also used to configure the first algorithm, and/or the second information is also used to configure the second algorithm. That is, the first information may configure the first downlink reference signal resource information and the first algorithm at the same time, and the second information may configure the second downlink reference signal resource information and the second algorithm at the same time.
  • the terminal device switches the algorithm for realizing the first function from the first algorithm to the second algorithm.
  • the terminal device determines the first model according to computing resources available to the terminal device within the first duration, and/or, the terminal device determines the second model according to computing resources available to the terminal device within the second duration. That is, the terminal device may determine a network model for realizing the first function based on its own available computing resources. In this case, the terminal device is, for example, configured with a correspondence between available computing resources and a network model for realizing the first function.
  • the terminal device determines the first algorithm according to computing resources available to the terminal device within the first duration, and/or, the terminal device determines the second algorithm according to computing resources available to the terminal device within the second duration. That is, the terminal device may determine an algorithm for realizing the first function based on its own available computing resources. In this case, for example, the terminal device is configured with a correspondence between available computing resources and an algorithm for realizing the first function.
  • the computing resource available to the terminal device is determined by at least one of the following: the computing capability of the terminal device, and the computing capability level of the terminal device.
  • the computing capability of the terminal device includes fixed computing capability and real-time computing capability.
  • evaluation of computing power can use the number of calculations that can be performed per unit time as an index.
  • the computing capabilities may be divided into grades, and the computing capabilities are divided into N categories, for example, into three grades of high performance, medium performance, and low performance.
  • the corresponding relationship between the available computing resources of the terminal device and the computing capability of the terminal device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, and the terminal device configuration.
  • the network device can configure the available computing resources of the terminal device and the computing power of the terminal device through one or more of broadcast, downlink control information (Downlink Control Information, DCI), media access control layer control unit (Media Access Control Control Element, MAC CE), radio resource control (Radio Resource Control, RRC) signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, and uplink broadcast channel. Correspondence between capabilities.
  • DCI Downlink Control Information
  • Media Access Control Element Media Access Control Control Element
  • RRC Radio Resource Control
  • the correspondence between the available computing resources of the terminal device and the computing capability level of the terminal device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, and the terminal device configuration.
  • the network device can configure the correspondence between the available computing resources of the terminal device and the computing capability level of the terminal device through one or more of broadcast, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, and downlink broadcast channel.
  • broadcast DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, and downlink broadcast channel.
  • the terminal device can configure the correspondence between the available computing resources of the terminal device and the computing capability level of the terminal device through one or more of the uplink data channel, uplink control channel, uplink control information (Uplink Control Information, UCI), specific uplink artificial intelligence data transmission channel transmission, specific uplink multicast channel, and uplink broadcast channel.
  • uplink data channel uplink control channel
  • uplink control information Uplink Control Information, UCI
  • specific uplink artificial intelligence data transmission channel transmission specific uplink multicast channel
  • uplink broadcast channel uplink broadcast channel.
  • the first information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the second information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the terminal device sends the third information and the fourth information respectively;
  • the third information includes at least one of the following: computing resources available to the terminal device within the first duration, computing capability of the terminal device within the first duration, and computing capability level of the terminal device within the first duration;
  • the fourth information includes at least one of the following: computing resources available to the terminal device within the second duration, computing capability of the terminal device within the second duration, and computing capability level of the terminal device within the second duration.
  • the terminal device reports the third information and the fourth information to the network device respectively.
  • the third information is UCI, or, the third information is an RRC message; wherein, the third information is carried by at least one of the following: an uplink data channel, an uplink control channel, an uplink artificial intelligence data transmission channel, an uplink multicast channel, and an uplink broadcast channel.
  • the fourth information is UCI, or, the fourth information is an RRC message; wherein, the fourth information is carried by at least one of the following: an uplink data channel, an uplink control channel, an uplink artificial intelligence data transmission channel, an uplink multicast channel, and an uplink broadcast channel.
  • the terminal device determines its own available computing resources, for example, the terminal device determines that the available computing resources at the first moment are the first type of computing resources, or the terminal device determines that the available computing resources at the first moment correspond to the first computing capability, or the terminal device determines that the available computing resources at the first moment correspond to the first computing capability level.
  • the terminal device reports current (that is, the first moment) available computing resource information (such as the first type of computing resource, or the first computing capability, or the first computing capability level) to the network device, and the network device (such as the base station) configures the first reference signal resource matching the available computing resource information at the first moment to the terminal device according to the available computing resource information of the terminal device at the first moment.
  • the network device may also configure a first model or a first algorithm that matches the available computing resource information at the first moment, or the terminal device determines a first model or a first algorithm that matches the available computing resource information at the first moment.
  • the terminal device acquires downlink channel information according to the first reference signal resource.
  • the real-time available computing resource of the terminal device is changed to a second type of computing resource, or corresponding to the second computing capability, or corresponding to the second computing capability level
  • the terminal device reports or updates the available computing resource information (such as the second type of computing resource, or the second computing capability, or the second computing capability level) to the network device
  • the network device configures the second reference signal resource matching the available computing resource information at the second moment to the terminal device according to the current (that is, the second moment) available computing resource information of the terminal device.
  • the network device may further configure a second model or a second algorithm that matches the available computing resource information at the second moment, or the terminal device determines a second model or a second algorithm that matches the available computing resource information at the second moment.
  • the terminal device acquires downlink channel information according to the second reference signal resource.
  • the terminal device obtains more channel information based on the second reference signal resources than the channel information obtained based on the first reference signal resources.
  • the second reference signal resources may be denser in time domain and frequency domain than the first reference signal resources, so as to provide finer channel information, thereby realizing downlink channel estimation, downlink beam management, downlink positioning, CSI feedback, mobility management, etc.
  • the channel information acquired by the terminal device based on the second reference signal resources is less than the channel information acquired based on the first reference signal resources.
  • the second reference signal resources may be sparser than the first reference signal resources in the time domain dimension and frequency domain dimension, so as to provide less channel information, thereby realizing downlink channel estimation, downlink beam management, downlink positioning, CSI feedback, mobility management, etc.
  • fewer reference signals may also be configured, corresponding to the case of giving up accuracy and only pursuing less computing time.
  • more reference signals may also be configured, corresponding to the pursuit of higher precision when the computing power is better.
  • the terminal device switches the network model used to realize the first function from the first model to the second model, the complexity of the second model is lower than that of the first model, and the amount of information input to the second model is more than the amount of information input to the first model, so that performance damage of the network model can be avoided in the case of insufficient computing resources.
  • the terminal device switches the algorithm used to realize the first function from the first algorithm to the second algorithm, the complexity of the second algorithm is lower than that of the first algorithm, and the amount of information input to the second algorithm is more than the amount of information input to the first algorithm, thereby avoiding performance damage of the algorithm in the case of insufficient computing resources. That is to say, what this application seeks is no loss at the performance level, rather than pursuing higher performance under a more complex model.
  • terminal-side embodiment of the present application is described in detail above with reference to FIG. 3 to FIG. 5
  • network-side embodiment of the present application is described in detail below in conjunction with FIG. 6 . It should be understood that the network-side embodiment and the terminal-side embodiment correspond to each other, and similar descriptions can refer to the terminal-side embodiment.
  • FIG. 6 is a schematic flowchart of a wireless communication method 300 according to an embodiment of the present application. As shown in FIG. 6, the wireless communication method 300 may include at least part of the following content:
  • the network device sends first instruction information to the terminal device; where the first instruction information is used to instruct the terminal device to switch the network model used to realize the first function from the first model to the second model when the computing resources are insufficient, and the input of the first model is the first information set, and the input of the second model is the second information set; or, the first instruction information is used to instruct the terminal device to switch the algorithm used to realize the first function from the first algorithm to the second algorithm when the computing resources are insufficient, and the input of the first algorithm is the first information set, and the input of the second algorithm is the second information set; wherein, the complexity of the second model is lower than that of the first model, the complexity of the second algorithm is lower than that of the first algorithm, the amount of information included in the second information set is greater than the amount of information included in the first information set, and the first function includes at least one of the following: downlink channel estimation, downlink beam management, downlink positioning, CSI feedback, and mobility management.
  • the main consideration in this application is that when the resources required for machine learning and neural networks are limited, such as computing resources (fixed computing resources or real-time computing resources), more available information can be used as the input of the network model or algorithm to make up for the performance loss of the network model or algorithm caused by the limited computing resources.
  • computing resources fixed computing resources or real-time computing resources
  • the first model and the second model may be AI models or non-AI models, which is not limited in the present application.
  • the terminal device switches the network model used to realize the first function from the first model to the second model, the complexity of the second model is lower than that of the first model, and the amount of information input into the second model is more than the amount of information input into the first model, thereby avoiding performance damage of the network model in the case of insufficient computing resources.
  • the terminal device switches the algorithm used to realize the first function from the first algorithm to the second algorithm, the complexity of the second algorithm is lower than that of the first algorithm, and the amount of information input to the second algorithm is more than the amount of information input to the first algorithm, thereby avoiding performance damage of the algorithm in the case of insufficient computing resources. That is to say, what this application seeks is no loss at the performance level, rather than pursuing higher performance under a more complex model.
  • the first indication information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the first function is downlink channel estimation
  • the first information set includes information for realizing downlink channel estimation
  • the second information set includes information for realizing downlink channel estimation.
  • the information used to realize downlink channel estimation may be downlink channel information.
  • more downlink reference signal resources such as configuring more dense downlink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain downlink channel information more accurately, that is, to obtain the information included in the second information set for realizing downlink channel estimation.
  • the first function is downlink beam management
  • the first information set includes information for realizing downlink beam management
  • the second information set includes information for realizing downlink beam management.
  • the information used to implement downlink beam management may be downlink beam information.
  • more downlink reference signal resources such as configuring more dense downlink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain downlink beam information more accurately, that is, obtain the information used to implement downlink beam management contained in the second information set.
  • the first information set includes information for realizing downlink positioning
  • the second information set includes information for realizing downlink positioning.
  • the information used to implement downlink positioning may be downlink location information.
  • more downlink reference signal resources such as configuring more dense downlink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain the downlink position information more accurately, that is, obtain the information used to implement downlink positioning contained in the second information set.
  • the first function is CSI feedback
  • the first information set includes information for implementing CSI feedback
  • the second information set includes information for implementing CSI feedback.
  • the information used to implement CSI feedback may be CSI information.
  • more feedback bits that is, the second information set includes CSI information carried by more CSI feedback bits
  • more feedback bits will make the feedback CSI information carry more accurate CSI information, which is beneficial to obtain a better CSI recovery effect on the network side.
  • the first function is mobility management
  • the first information set includes information for implementing mobility management
  • the second information set includes information for implementing mobility management.
  • the information used to implement mobility management may be mobility information.
  • more reference signal resources such as configuring more dense reference signals in the time domain and frequency domain, using a larger configuration bandwidth, etc., it is helpful to obtain mobility information more accurately, that is, to obtain the information used to implement mobility management included in the second information set.
  • the network device determines the first information according to the computing resources available to the terminal device within the first duration, and the network device determines the second information according to the computing resources available to the terminal device within the second duration; wherein, the computing resources available within the first duration are more than the computing resources available within the second duration; the first information is used to configure the first downlink reference signal resource information, and the first downlink reference signal resource information is used for the terminal device to obtain the first information set; the second information is used to configure the second downlink reference signal resource information, and the second downlink reference signal The resource information is used by the terminal device to obtain the second information set; and the network device sends the first information and the second information to the terminal device respectively.
  • this embodiment does not limit the length of the first duration, for example, when the length of the first duration is relatively short, the first duration may be regarded as a moment.
  • this embodiment does not limit the length of the second duration. For example, when the second duration is relatively short, the second duration may be regarded as a moment.
  • the first information is also used to configure the first model, and/or the second information is also used to configure the second model. That is, the first information may configure the first downlink reference signal resource information and the first model at the same time, and the second information may configure the second downlink reference signal resource information and the second model at the same time. In this case, the terminal device switches the network model used to realize the first function from the first model to the second model.
  • the first information is also used to configure the first algorithm
  • the second information is also used to configure the second algorithm. That is, the first information may configure the first downlink reference signal resource information and the first algorithm at the same time, and the second information may configure the second downlink reference signal resource information and the second algorithm at the same time.
  • the terminal device switches the algorithm used to realize the first function from the first algorithm to the second algorithm.
  • the first model is determined based on computing resources available to the terminal device within the first duration
  • the second model is determined based on computing resources available to the terminal device within the second duration.
  • the terminal device determines the first model according to computing resources available to the terminal device within the first duration
  • the terminal device determines the second model according to computing resources available to the terminal device within the second duration. That is, the terminal device may determine a network model for realizing the first function based on its own available computing resources.
  • the terminal device is, for example, configured with a correspondence between available computing resources and a network model for realizing the first function.
  • the first algorithm is determined based on computing resources available to the terminal device within the first duration
  • the second algorithm is determined based on computing resources available to the terminal device within the second duration.
  • the terminal device determines the first algorithm according to the computing resources available to the terminal device within the first duration
  • the terminal device determines the second algorithm according to the computing resources available to the terminal device within the second duration. That is, the terminal device may determine an algorithm for realizing the first function based on its own available computing resources. In this case, for example, the terminal device is configured with a correspondence between available computing resources and an algorithm for realizing the first function.
  • the computing resource available to the terminal device is determined by at least one of the following: the computing capability of the terminal device, and the computing capability level of the terminal device.
  • the computing capability of the terminal device includes fixed computing capability and real-time computing capability.
  • evaluation of computing power can use the number of calculations that can be performed per unit time as an indicator.
  • the computing capabilities may be divided into grades, and the computing capabilities are divided into N categories, for example, into three grades of high performance, medium performance, and low performance.
  • the corresponding relationship between the available computing resources of the terminal device and the computing capability of the terminal device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, and the terminal device configuration.
  • the network device can configure the correspondence between the available computing resources of the terminal device and the computing capabilities of the terminal device through one or more of broadcast, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, and uplink broadcast channel.
  • the terminal device may configure the correspondence between the computing resources available to the terminal device and the computing capabilities of the terminal device through one or more of uplink data channels, uplink control channels, UCI, specific uplink artificial intelligence data transmission channels, specific uplink multicast channels, and uplink broadcast channels.
  • the correspondence between the available computing resources of the terminal device and the computing capability level of the terminal device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, and the terminal device configuration.
  • the network device can configure the correspondence between the available computing resources of the terminal device and the computing capability level of the terminal device through one or more of broadcast, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, and downlink broadcast channel.
  • broadcast DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, and downlink broadcast channel.
  • the terminal device can configure the correspondence between the available computing resources of the terminal device and the computing capability level of the terminal device through one or more of the uplink data channel, uplink control channel, UCI, specific uplink artificial intelligence data transmission channel transmission, specific uplink multicast channel, and uplink broadcast channel.
  • the first information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the second information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the network device receives the third information and the fourth information respectively sent by the terminal device;
  • the third information includes at least one of the following: computing resources available to the terminal device within the first duration, computing capability of the terminal device within the first duration, and computing capability level of the terminal device within the first duration;
  • the fourth information includes at least one of the following: computing resources available to the terminal device within the second duration, computing capability of the terminal device within the second duration, and computing capability level of the terminal device within the second duration.
  • the third information is UCI, or the third information is RRC messages; where the third information is carried through at least one of the following: uplink data channels, uplink control channels, upward artificial intelligence data transmission channels, uplink group broadcasters, upward broadcast channels; and/or, the fourth information is RRC message; At least one below: uplink data channels, uplink control channels, uplink artificial intelligence data transmission channels, upward group broadcast channels, uplink broadcast channels.
  • the network device can instruct the terminal device to switch the network model used to realize the first function from the first model to the second model when the computing resources are insufficient.
  • the complexity of the second model is lower than that of the first model, and the amount of information input into the second model is more than the amount of information input into the first model, so that the performance of the network model can be avoided in the case of insufficient computing resources.
  • the network device may instruct the terminal device to switch the algorithm used to realize the first function from the first algorithm to the second algorithm when the computing resources of the terminal device are insufficient, the complexity of the second algorithm is lower than that of the first algorithm, and the amount of information input to the second algorithm is more than the amount of information input to the first algorithm, thereby avoiding performance damage of the algorithm in the case of insufficient computing resources. That is to say, what this application seeks is no loss at the performance level, rather than pursuing higher performance under a more complex model.
  • FIG. 7 is a schematic flowchart of a wireless communication method 400 according to an embodiment of the present application. As shown in FIG. 7, the wireless communication method 400 may include at least part of the following content:
  • the network device switches the network model used to realize the second function from the third model to a fourth model, and the input of the third model is a third information set, and the input of the fourth model is a fourth information set; or, when the computing resources of the network device are insufficient, the network device switches the algorithm used to realize the second function from the third algorithm to a fourth algorithm, and the input of the third algorithm is a third information set, and the input of the fourth algorithm is a fourth information set; where the complexity of the fourth model is lower than that of the third model.
  • the complexity of the fourth algorithm is lower than that of the third algorithm, the amount of information included in the fourth information set is greater than the amount of information included in the third information set, and the second function includes at least one of the following: uplink channel estimation, uplink beam management, uplink positioning, CSI feedback, and mobility management.
  • the main consideration in this application is that when the resources required for machine learning and neural networks are limited, such as computing resources (fixed computing resources or real-time computing resources), more available information can be used as the input of the network model or algorithm to compensate for the performance loss of the network model or algorithm caused by the limited computing resources.
  • computing resources fixed computing resources or real-time computing resources
  • the third model and the fourth model may be AI models or non-AI models, which is not limited in the present application.
  • the network device switches the network model used to realize the second function from the third model to the fourth model, the complexity of the fourth model is lower than that of the third model, and the amount of information input into the fourth model is more than the amount of information input into the third model, so that the performance of the network model can be avoided in the case of insufficient computing resources.
  • the network device switches the algorithm used to realize the second function from the third algorithm to the fourth algorithm, the complexity of the fourth algorithm is lower than that of the third algorithm, and the amount of information input into the fourth algorithm is more than the amount of information input into the third algorithm, so that the performance of the algorithm can be avoided in the case of insufficient computing resources. That is to say, what this application seeks is no loss at the performance level, rather than pursuing higher performance under a more complex model.
  • the third information set includes information for realizing uplink channel estimation
  • the fourth information set includes information for realizing uplink channel estimation.
  • the information used to realize uplink channel estimation may be uplink channel information.
  • more uplink reference signal resources such as configuring more dense uplink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain uplink channel information more accurately, that is, obtain the information used to realize uplink channel estimation contained in the fourth information set.
  • the third information set includes information for implementing uplink beam management
  • the fourth information set includes information for implementing uplink beam management.
  • the information used to implement uplink beam management may be uplink beam information.
  • more uplink reference signal resources such as configuring denser uplink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain uplink beam information more accurately, that is, obtain the information used to implement uplink beam management contained in the fourth information set.
  • the third information set includes information for realizing uplink positioning
  • the fourth information set includes information for realizing uplink positioning.
  • the information used to implement uplink positioning may be uplink position information.
  • more uplink reference signal resources such as configuring more dense uplink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain uplink position information more accurately, that is, obtain the information used to implement uplink positioning contained in the fourth information set.
  • the third information set includes information for implementing CSI feedback
  • the fourth information set includes information for implementing CSI feedback.
  • the information used to implement CSI feedback may be CSI information.
  • more feedback bits that is, the fourth information set includes CSI information carried by more CSI feedback bits
  • more feedback bits will make the feedback CSI information carry more accurate CSI information, which is beneficial to obtain a better CSI recovery effect on the terminal side.
  • the third information set includes information for implementing mobility management
  • the fourth information set includes information for implementing mobility management.
  • the information used to implement mobility management may be mobility information.
  • more reference signal resources such as configuring more dense reference signals in the time domain and frequency domain, using a larger configuration bandwidth, etc., it is helpful to obtain mobility information more accurately, that is, to obtain the information used to implement mobility management included in the fourth information set.
  • the network device sends the fifth information and the sixth information to the terminal device respectively;
  • the fifth information is determined based on the computing resources available to the network device within the third duration, and the fifth information is used to configure the first uplink reference signal resource information;
  • the sixth information is determined based on the computing resources available to the network device within the fourth duration, and the sixth information is used to configure the second uplink reference signal resource information;
  • the computing resources available in the third time length are more than the computing resources available in the fourth time length; the third information set is determined based on the uplink reference signal sent by the terminal device through the first uplink reference signal resource information, and the fourth information set is determined based on the uplink reference signal sent by the terminal device through the second uplink reference signal resource information.
  • the fifth information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the sixth information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the network device sends the seventh information and the eighth information to the terminal device respectively;
  • the seventh information is determined based on the computing resources available to the network device within the third duration, and the eighth information is determined based on the computing resources available to the network device within the fourth duration; the seventh information is used to configure the third model, and the eighth information is used to configure the fourth model; or, the seventh information is used to configure the third algorithm, and the eighth information is used to configure the fourth algorithm; the computing resources available in the third duration are more than the computing resources available in the fourth duration;
  • the third model and the fourth model are CSI feedback models, the third information set is determined based on the CSI information fed back by the terminal device through the third model, and the fourth information set is determined based on the CSI information fed back by the terminal device through the fourth model; or, the third algorithm and the fourth algorithm are CSI feedback algorithms, the third information set is determined based on the CSI information fed back by the terminal device through the third algorithm, and the fourth information set is determined based on the CSI information fed back by the terminal device through the fourth algorithm.
  • the seventh information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the eighth information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the network device sends the ninth information and the tenth information to the terminal device respectively;
  • the ninth information is determined based on the computing resources available to the network device within the third duration, and the ninth information is used to configure the first positioning reference signal resource information;
  • the tenth information is determined based on the computing resources available to the network device within the fourth duration, and the tenth information is used to configure the second positioning reference signal resource information;
  • the computing resources available in the third duration are more than the computing resources available in the fourth duration; the third information set is determined based on the positioning information obtained by the terminal device through the first positioning reference signal resource information, and the fourth information set is determined based on the positioning information obtained by the terminal device through the second positioning reference signal resource information.
  • the ninth information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the tenth information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the present embodiment does not limit the length of the third duration.
  • the third duration when the third duration is relatively short, the third duration may be regarded as a moment.
  • this embodiment does not limit the length of the fourth duration.
  • the fourth duration when the fourth duration is relatively short, the fourth duration may be regarded as a moment.
  • the network device determines the third model according to the computing resources available to the network device within the third duration, and/or, the network device determines the fourth model according to the computing resources available to the network device during the fourth duration. That is, the network device may determine a network model for realizing the second function based on its own available computing resources. In this case, the network device is configured with, for example, a corresponding relationship between available computing resources and the network model for realizing the second function.
  • the network device determines the third algorithm according to the computing resources available to the network device within the third duration, and/or, the network device determines the fourth algorithm according to the computing resources available to the network device during the fourth duration. That is, the network device may determine an algorithm for realizing the second function based on its own available computing resources. In this case, the network device is configured with a correspondence between available computing resources and an algorithm for realizing the second function, for example.
  • the computing resource available to the network device is determined by at least one of the following: the computing capability of the network device, and the computing capability level of the network device.
  • the computing capability of the network device includes fixed computing capability and real-time computing capability.
  • evaluation of computing power can use the number of calculations that can be performed per unit time as an indicator.
  • the computing capabilities may be divided into grades, and the computing capabilities are divided into N categories, for example, into three grades of high performance, medium performance, and low performance.
  • the corresponding relationship between the available computing resources of the network device and the computing capabilities of the network device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, and terminal device configuration.
  • the terminal device can configure the correspondence between the available computing resources of the network device and the computing capabilities of the network device through one or more of the uplink data channel, uplink control channel, UCI, specific uplink artificial intelligence data transmission channel transmission, specific uplink multicast channel, and uplink broadcast channel.
  • the corresponding relationship between the available computing resources of the network device and the computing capability level of the network device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, and terminal device configuration.
  • the terminal device can configure the correspondence between the available computing resources of the network device and the computing capability level of the network device through one or more of the uplink data channel, uplink control channel, UCI, specific uplink artificial intelligence data transmission channel, specific uplink multicast channel, and uplink broadcast channel.
  • Example 1 When dealing with issues such as uplink channel estimation, uplink beam management, and uplink positioning, the network model or algorithm is deployed on the network side.
  • the network device (base station) determines its real-time available computing resources. For example, the network device determines that the available computing resources at the first moment are the first type of computing resources, or the network device determines that the available computing resources at the first moment correspond to the first computing capability, or the network device determines that the available computing resources at the first moment correspond to the first computing capability level.
  • the network device configures the first reference signal resource (uplink reference signal) matching the available computing resource information at the first moment to the terminal device (UE) according to the available computing resource information at the first moment (the first type of computing resource, or the first computing capability, or the first computing capability level).
  • the network device may also determine a third model or a third algorithm that matches the available computing resource information (the first type of computing resource, or the first computing capability, or the first computing capability level) at the first moment.
  • the terminal device sends the uplink reference signal based on the first reference signal resource.
  • the real-time available computing resource of the network device is a second type of computing resource, or, corresponding to the second computing capability
  • the network device configures a second reference signal resource (uplink reference signal) matching the available computing resource information at the second moment to the terminal device.
  • the network device may also determine a fourth model or a fourth algorithm that matches the available computing resource information (the second type of computing resource, or the second computing capability, or the second computing capability level) at the second moment.
  • the terminal device sends the uplink reference signal based on the second reference signal resource.
  • the terminal device sends more uplink reference signals based on the second reference signal resources than the first reference signal resources, so that the network device obtains more channel information through the uplink reference signals sent by the terminal device based on the second reference signal resources than the channel information obtained by the network device based on the uplink reference signals sent by the first reference signal resources.
  • the uplink reference signal sent by the terminal device based on the second reference signal resource is less than the uplink reference signal sent based on the first reference signal resource, so that the channel information obtained by the network device through the uplink reference signal sent by the terminal device based on the second reference signal resource is less than the channel information obtained by the network device based on the uplink reference signal sent by the network device based on the first reference signal resource.
  • fewer uplink reference signals may also be configured, corresponding to the case of giving up accuracy and only pursuing less computing time.
  • more uplink reference signals may also be configured, corresponding to the case of pursuing higher precision when the computing power is better.
  • the network device determines its real-time available computing resources. For example, the network device determines that the available computing resources at the first moment are the first type of computing resources, or the network device determines that the available computing resources at the first moment correspond to the first computing capability, or the network device determines that the available computing resources at the first moment correspond to the first computing capability level.
  • the network device configures the first CSI feedback model matching the available computing resource information at the first moment to the terminal device (UE) according to the available computing resource information at the first moment (the first type of computing resource, or the first computing capability, or the first computing capability level).
  • the terminal device uses the first CSI model to perform CSI feedback, and the amount of feedback that needs to be fed back is N 1 bits.
  • the real-time available computing resource of the network device is the second type of computing resource, or corresponds to the second computing capability
  • the network device configures the second CSI feedback model matching the information of the available computing resource at the second moment to the terminal device according to the computing resource or computing capability at the second moment, and the terminal device uses the second CSI model to perform CSI feedback, and the feedback amount to be fed back is N 2 bits.
  • the terminal device can feed back more CSI information to the network device, so that the network device can use a relatively simple model under the premise of more CSI information and complete high-precision CSI information recovery within a specific time under the condition of limited computing power.
  • N2 can be greater than N1 at this time.
  • Example 3 for the positioning problem, when the positioning model is deployed on the network device or the positioning server side, although the reference signal used for positioning is still a downlink reference signal, but at this time, since the positioning calculation occurs on the network device or positioning server side, the computing power that affects the overall performance at this time is still the real-time computing power of the network device.
  • the network device determines that the available computing resources at the first moment are the first type of computing resources, or the network device determines that the available computing resources at the first moment correspond to the first computing capability, or the network device determines that the available computing resources at the first moment correspond to the first computing capability level.
  • the network device configures a first reference signal resource (downlink reference signal, or positioning reference signal) matching the available computing resource information at the first moment to the terminal device (UE) according to the available computing resource information at the first moment (the first type of computing resource, or the first computing capability, or the first computing capability level).
  • the network device may also determine a third model or a third algorithm that matches the available computing resource information (the first type of computing resource, or the first computing capability, or the first computing capability level) at the first moment.
  • the terminal device acquires the first reference signal based on the first reference signal resource, the terminal device acquires first positioning information based on the first reference signal, the terminal device sends the first positioning information to the network device, and the network device determines a positioning result based on the first positioning information.
  • the real-time available computing resource of the network device is a second type of computing resource, or corresponds to the second computing capability
  • the network device configures a second reference signal resource (downlink reference signal, or positioning reference signal) matching the available computing resource information at the second moment to the terminal device.
  • the network device may also determine a fourth model or a fourth algorithm that matches the available computing resource information (the second type of computing resource, or the second computing capability, or the second computing capability level) at the second moment.
  • the terminal device obtains the second reference signal based on the second reference signal resource, the terminal device obtains the second positioning information based on the second reference signal, the terminal device sends the second positioning information to the network device, and the network device determines a positioning result based on the second positioning information.
  • the second reference signal resources can provide more channel information than the first reference signal resources, for example, the second reference signal can be denser in the time domain dimension and frequency domain dimension than the first reference signal, thereby providing more refined channel information for use in issues such as uplink positioning.
  • the positioning server can be considered as a special type of network device, and the division will not be repeated here. It can also be considered that the network device described in this application includes the positioning server.
  • the network device switches the network model used to realize the second function from the third model to the fourth model, the complexity of the fourth model is lower than that of the third model, and the amount of information input into the fourth model is more than the amount of information input into the third model, so that performance damage of the network model can be avoided in the case of insufficient computing resources.
  • the network device switches the algorithm used to realize the second function from the third algorithm to the fourth algorithm, the complexity of the fourth algorithm is lower than that of the third algorithm, and the amount of information input into the fourth algorithm is more than the amount of information input into the third algorithm, so that the performance of the algorithm can be avoided in the case of insufficient computing resources. That is to say, what this application seeks is no loss at the performance level, rather than pursuing higher performance under a more complex model.
  • terminal-side embodiment of the present application is described in detail above with reference to FIG. 7 to FIG. 10
  • network-side embodiment of the present application is described in detail below in conjunction with FIG. 11 . It should be understood that the network-side embodiment and the terminal-side embodiment correspond to each other, and similar descriptions can refer to the terminal-side embodiment.
  • FIG. 11 is a schematic flowchart of a wireless communication method 500 according to an embodiment of the present application. As shown in FIG. 11 , the wireless communication method 500 may include at least part of the following content:
  • the terminal device receives the second instruction information sent by the network device; wherein, the second instruction information is used to instruct the network device to switch the network model used to realize the second function from the third model to the fourth model when the computing resources are insufficient, and the input of the third model is the third information set, and the input of the fourth model is the fourth information set; or, the second instruction information is used to instruct the network device to switch the algorithm used to realize the second function from the third algorithm to the fourth algorithm when the computing resources are insufficient, and the input of the third algorithm is the third information set, and the input of the fourth algorithm is the fourth information set;
  • An information set wherein, the complexity of the fourth model is lower than that of the third model, the complexity of the fourth algorithm is lower than that of the third algorithm, the amount of information included in the fourth information set is greater than the amount of information included in the third information set, and the second function includes at least one of the following: uplink channel estimation, uplink beam management, uplink positioning, CSI feedback, and mobility management.
  • the main consideration in this application is that when the resources required for machine learning and neural networks are limited, such as computing resources (fixed computing resources or real-time computing resources), more available information can be used as the input of the network model or algorithm to compensate for the performance loss of the network model or algorithm caused by the limited computing resources.
  • computing resources fixed computing resources or real-time computing resources
  • the third model and the fourth model may be AI models or non-AI models, which is not limited in the present application.
  • the network device switches the network model used to realize the second function from the third model to the fourth model, the complexity of the fourth model is lower than that of the third model, and the amount of information input into the fourth model is more than the amount of information input into the third model, so that the performance of the network model can be avoided in the case of insufficient computing resources.
  • the network device switches the algorithm used to realize the second function from the third algorithm to the fourth algorithm, the complexity of the fourth algorithm is lower than that of the third algorithm, and the amount of information input into the fourth algorithm is more than the amount of information input into the third algorithm, so that the performance of the algorithm can be avoided in the case of insufficient computing resources. That is to say, what this application seeks is no loss at the performance level, rather than pursuing higher performance under a more complex model.
  • the second indication information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the third information set includes information for realizing uplink channel estimation
  • the fourth information set includes information for realizing uplink channel estimation.
  • the information used to realize uplink channel estimation may be uplink channel information.
  • more uplink reference signal resources such as configuring more dense uplink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain uplink channel information more accurately, that is, obtain the information used to realize uplink channel estimation contained in the fourth information set.
  • the third information set includes information for implementing uplink beam management
  • the fourth information set includes information for implementing uplink beam management.
  • the information used to implement uplink beam management may be uplink beam information.
  • more uplink reference signal resources such as configuring denser uplink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain uplink beam information more accurately, that is, obtain the information used to implement uplink beam management contained in the fourth information set.
  • the third information set includes information for realizing uplink positioning
  • the fourth information set includes information for realizing uplink positioning.
  • the information used to implement uplink positioning may be uplink position information.
  • more uplink reference signal resources such as configuring more dense uplink reference signals in the time domain and frequency domain, adopting a larger configuration bandwidth, etc., it is helpful to obtain uplink position information more accurately, that is, obtain the information used to implement uplink positioning contained in the fourth information set.
  • the third information set includes information for implementing CSI feedback
  • the fourth information set includes information for implementing CSI feedback.
  • the information used to implement CSI feedback may be CSI information.
  • more feedback bits that is, the fourth information set includes CSI information carried by more CSI feedback bits
  • more feedback bits will make the feedback CSI information carry more accurate CSI information, which is beneficial to obtain a better CSI recovery effect on the terminal side.
  • the third information set includes information for implementing mobility management
  • the fourth information set includes information for implementing mobility management.
  • the information used to implement mobility management may be mobility information.
  • more reference signal resources such as configuring more dense reference signals in the time domain and frequency domain, using a larger configuration bandwidth, etc., it is helpful to obtain mobility information more accurately, that is, to obtain the information used to implement mobility management included in the fourth information set.
  • the terminal device respectively receives fifth information and sixth information sent by the network device;
  • the fifth information is determined based on the computing resources available to the network device within the third duration, and the fifth information is used to configure the first uplink reference signal resource information;
  • the sixth information is determined based on the computing resources available to the network device within the fourth duration, and the sixth information is used to configure the second uplink reference signal resource information;
  • the computing resources available in the third time length are more than the computing resources available in the fourth time length; the third information set is determined based on the uplink reference signal sent by the terminal device through the first uplink reference signal resource information, and the fourth information set is determined based on the uplink reference signal sent by the terminal device through the second uplink reference signal resource information.
  • the fifth information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the sixth information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the terminal device respectively receives the seventh information and the eighth information sent by the network device;
  • the seventh information is determined based on the computing resources available to the network device within the third duration, and the eighth information is determined based on the computing resources available to the network device within the fourth duration; the seventh information is used to configure the third model, and the eighth information is used to configure the fourth model; or, the seventh information is used to configure the third algorithm, and the eighth information is used to configure the fourth algorithm; the computing resources available in the third duration are more than the computing resources available in the fourth duration;
  • the third model and the fourth model are CSI feedback models, the third information set is determined based on the CSI information fed back by the terminal device through the third model, and the fourth information set is determined based on the CSI information fed back by the terminal device through the fourth model; or, the third algorithm and the fourth algorithm are CSI feedback algorithms, the third information set is determined based on the CSI information fed back by the terminal device through the third algorithm, and the fourth information set is determined based on the CSI information fed back by the terminal device through the fourth algorithm.
  • the seventh information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the eighth information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the terminal device respectively receives the ninth information and the tenth information sent by the network device;
  • the ninth information is determined based on the computing resources available to the network device within the third duration, and the ninth information is used to configure the first positioning reference signal resource information;
  • the tenth information is determined based on the computing resources available to the network device within the fourth duration, and the tenth information is used to configure the second positioning reference signal resource information;
  • the computing resources available in the third duration are more than the computing resources available in the fourth duration; the third information set is determined based on the positioning information obtained by the terminal device through the first positioning reference signal resource information, and the fourth information set is determined based on the positioning information obtained by the terminal device through the second positioning reference signal resource information.
  • the ninth information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the tenth information may be carried by one of the following: broadcast signaling, DCI, MAC CE, RRC signaling, downlink data channel, downlink control channel, specific downlink artificial intelligence data transmission channel transmission, specific downlink multicast channel, downlink broadcast channel.
  • the present embodiment does not limit the length of the third duration.
  • the third duration when the third duration is relatively short, the third duration may be regarded as a moment.
  • this embodiment does not limit the length of the fourth duration.
  • the fourth duration when the fourth duration is relatively short, the fourth duration may be regarded as a moment.
  • the third model is determined based on the computing resources available to the network device within the third duration
  • the fourth model is determined based on the computing resources available to the network device within the fourth duration.
  • the network device determines the third model according to the computing resources available to the network device within the third duration
  • the network device determines the fourth model according to the computing resources available to the network device within the fourth duration. That is, the network device may determine a network model for realizing the second function based on its own available computing resources.
  • the network device is configured with, for example, a correspondence between available computing resources and a network model for realizing the second function.
  • the third algorithm is determined based on the computing resources available to the network device within the third duration
  • the fourth algorithm is determined based on the computing resources available to the network device within the fourth duration.
  • the network device determines the third algorithm according to the computing resources available to the network device within the third duration
  • the network device determines the fourth algorithm according to the computing resources available to the network device within the fourth duration. That is, the network device may determine an algorithm for realizing the second function based on its own available computing resources. In this case, the network device is configured with a correspondence between available computing resources and an algorithm for realizing the second function, for example.
  • the computing resource available to the network device is determined by at least one of the following: the computing capability of the network device, and the computing capability level of the network device.
  • the computing resource available to the network device is determined by at least one of the following: the computing capability of the network device, and the computing capability level of the network device.
  • the computing capability of the network device includes fixed computing capability and real-time computing capability.
  • evaluation of computing power can use the number of calculations that can be performed per unit time as an index.
  • the computing capabilities may be divided into grades, and the computing capabilities are divided into N categories, for example, into three grades of high performance, medium performance, and low performance.
  • the corresponding relationship between the available computing resources of the network device and the computing capabilities of the network device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, and terminal device configuration.
  • the terminal device can configure the correspondence between the available computing resources of the network device and the computing capabilities of the network device through one or more of the uplink data channel, uplink control channel, UCI, specific uplink artificial intelligence data transmission channel transmission, specific uplink multicast channel, and uplink broadcast channel.
  • the corresponding relationship between the available computing resources of the network device and the computing capability level of the network device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, and terminal device configuration.
  • the network device switches the network model used to realize the second function from the third model to the fourth model, the complexity of the fourth model is lower than that of the third model, and the amount of information input into the fourth model is more than the amount of information input into the third model, so that performance damage of the network model can be avoided in the case of insufficient computing resources.
  • the network device switches the algorithm used to realize the second function from the third algorithm to the fourth algorithm, the complexity of the fourth algorithm is lower than that of the third algorithm, and the amount of information input into the fourth algorithm is more than the amount of information input into the third algorithm, so that the performance of the algorithm can be avoided in the case of insufficient computing resources. That is to say, what this application seeks is no loss at the performance level, rather than pursuing higher performance under a more complex model.
  • Fig. 12 shows a schematic block diagram of a terminal device 600 according to an embodiment of the present application.
  • the terminal device 600 includes: a processing unit 610, wherein,
  • the processing unit 610 is configured to switch the network model used to realize the first function from the first model to the second model, and the input of the first model is the first information set, and the input of the second model is the second information set; or,
  • the processing unit 610 is configured to switch the algorithm for realizing the first function from the first algorithm to the second algorithm, and the input of the first algorithm is the first information set, and the input of the second algorithm is the second information set;
  • the complexity of the second model is lower than that of the first model
  • the complexity of the second algorithm is lower than that of the first algorithm
  • the amount of information included in the second information set is greater than the amount of information included in the first information set
  • the first function includes at least one of the following: downlink channel estimation, downlink beam management, downlink positioning, channel state information CSI feedback, and mobility management.
  • the terminal device 600 further includes: a communication unit 620;
  • the communication unit 620 is configured to receive first information and second information respectively; wherein, the first information is determined based on computing resources available to the terminal device within a first duration, and the first information is used to configure first downlink reference signal resource information; the second information is determined based on computing resources available to the terminal device within a second duration, and the second information is used to configure second downlink reference signal resource information; the computing resources available in the first duration are more than the computing resources available in the second duration;
  • the processing unit 610 is further configured to acquire the first information set according to the first downlink reference signal resource information, and the terminal device acquires the second information set according to the second downlink reference signal resource information.
  • the first information is also used to configure the first model, and/or, the second information is also used to configure the second model; or,
  • the first information is also used to configure the first algorithm, and/or the second information is also used to configure the second algorithm.
  • the processing unit 610 is further configured to determine the first model according to computing resources available to the terminal device within the first duration, and/or, the processing unit 610 is further configured to determine the second model according to computing resources available to the terminal device within the second duration; or,
  • the processing unit 610 is further configured to determine the first algorithm according to computing resources available to the terminal device within the first duration, and/or, the processing unit 610 is further configured to determine the second algorithm according to computing resources available to the terminal device within the second duration.
  • the computing resource available to the terminal device is determined by at least one of the following: the computing capability of the terminal device, and the computing capability level of the terminal device.
  • the corresponding relationship between the computing resources available to the terminal device and the computing capability of the terminal device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, the terminal device configuration; and/or,
  • the corresponding relationship between the available computing resources of the terminal device and the computing capability level of the terminal device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, and the terminal device configuration.
  • the computing capability of the terminal device includes fixed computing capability and real-time computing capability.
  • the communication unit 620 is configured to send the third information and the fourth information respectively;
  • the third information includes at least one of the following: computing resources available to the terminal device within the first duration, computing capability of the terminal device within the first duration, and computing capability level of the terminal device within the first duration;
  • the fourth information includes at least one of the following: computing resources available to the terminal device within the second duration, computing capability of the terminal device within the second duration, and computing capability level of the terminal device within the second duration.
  • the third information is uplink control information UCI, or the third information is a radio resource control RRC message; wherein, the third information is carried by at least one of the following: an uplink data channel, an uplink control channel, an uplink artificial intelligence data transmission channel, an uplink multicast channel, and an uplink broadcast channel; and/or,
  • the fourth information is UCI, or, the fourth information is an RRC message; wherein, the fourth information is carried by at least one of the following: an uplink data channel, an uplink control channel, an uplink artificial intelligence data transmission channel, an uplink multicast channel, and an uplink broadcast channel.
  • the above-mentioned communication unit may be a communication interface or a transceiver, or an input-output interface of a communication chip or a system-on-chip.
  • the aforementioned processing unit may be one or more processors.
  • terminal device 600 may correspond to the terminal device in the method embodiment of the present application, and the above-mentioned and other operations and/or functions of each unit in the terminal device 600 are respectively for realizing the corresponding process of the terminal device in the method 200 shown in FIG.
  • Fig. 13 shows a schematic block diagram of a network device 700 according to an embodiment of the present application.
  • the network device 700 includes:
  • a communication unit 710 configured to send first indication information to the terminal device
  • the first instruction information is used to instruct the terminal device to switch the network model used to realize the first function from the first model to the second model when the computing resources are insufficient, and the input of the first model is the first information set, and the input of the second model is the second information set; or, the first instruction information is used to instruct the terminal device to switch the algorithm used to realize the first function from the first algorithm to the second algorithm when the computing resources are insufficient, and the input of the first algorithm is the first information set, and the input of the second algorithm is the second information set;
  • the complexity of the second model is lower than that of the first model
  • the complexity of the second algorithm is lower than that of the first algorithm
  • the amount of information included in the second information set is greater than the amount of information included in the first information set
  • the first function includes at least one of the following: downlink channel estimation, downlink beam management, downlink positioning, channel state information CSI feedback, and mobility management.
  • the network device 700 further includes: a processing unit 720;
  • the processing unit 720 is configured to determine first information according to the computing resources available to the terminal device within a first duration, and the network device to determine second information according to computing resources available to the terminal device within a second duration; wherein, the computing resources available within the first duration are more than the computing resources available within the second duration; the first information is used to configure first downlink reference signal resource information, and the first downlink reference signal resource information is used for the terminal device to obtain the first information set; the second information is used to configure second downlink reference signal resource information, and the second downlink reference signal resource information used for the terminal device to obtain the second information set;
  • the communication unit 710 is further configured to respectively send the first information and the second information to the terminal device.
  • the first information is also used to configure the first model, and/or, the second information is also used to configure the second model; or,
  • the first information is also used to configure the first algorithm, and/or the second information is also used to configure the second algorithm.
  • the first model is determined based on computing resources available to the terminal device within the first duration
  • the second model is determined based on computing resources available to the terminal device within the second duration
  • the first algorithm is determined based on computing resources available to the terminal device within the first duration
  • the second algorithm is determined based on computing resources available to the terminal device within the second duration.
  • the computing resource available to the terminal device is determined by at least one of the following: the computing capability of the terminal device, and the computing capability level of the terminal device.
  • the corresponding relationship between the computing resources available to the terminal device and the computing capability of the terminal device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, the terminal device configuration; and/or,
  • the corresponding relationship between the available computing resources of the terminal device and the computing capability level of the terminal device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, network device configuration, and the terminal device configuration.
  • the computing capability of the terminal device includes fixed computing capability and real-time computing capability.
  • the communication unit 710 is further configured to receive third information and fourth information respectively sent by the terminal device;
  • the third information includes at least one of the following: computing resources available to the terminal device within the first duration, computing capability of the terminal device within the first duration, and computing capability level of the terminal device within the first duration;
  • the fourth information includes at least one of the following: computing resources available to the terminal device within the second duration, computing capability of the terminal device within the second duration, and computing capability level of the terminal device within the second duration.
  • the third information is uplink control information UCI, or, the third information is a radio resource control RRC message; wherein, the third information is carried by at least one of the following: an uplink data channel, an uplink control channel, an uplink artificial intelligence data transmission channel, an uplink multicast channel, and an uplink broadcast channel; and/or,
  • the fourth information is UCI, or, the fourth information is an RRC message; wherein, the fourth information is carried by at least one of the following: an uplink data channel, an uplink control channel, an uplink artificial intelligence data transmission channel, an uplink multicast channel, and an uplink broadcast channel.
  • the above-mentioned communication unit may be a communication interface or a transceiver, or an input-output interface of a communication chip or a system-on-chip.
  • the aforementioned processing unit may be one or more processors.
  • the network device 700 may correspond to the network device in the method embodiment of the present application, and the above-mentioned and other operations and/or functions of each unit in the network device 700 are respectively for realizing the corresponding flow of the network device in the method 300 shown in FIG.
  • Fig. 14 shows a schematic block diagram of a network device 800 according to an embodiment of the present application.
  • the network device 800 includes: a processing unit 810;
  • the processing unit 810 is configured to switch the network model for realizing the second function from a third model to a fourth model, and the input of the third model is a third information set, and the input of the fourth model is a fourth information set; or,
  • the processing unit 810 is configured to switch the algorithm for realizing the second function from a third algorithm to a fourth algorithm, and the input of the third algorithm is a third information set, and the input of the fourth algorithm is a fourth information set;
  • the complexity of the fourth model is lower than that of the third model
  • the complexity of the fourth algorithm is lower than that of the third algorithm
  • the amount of information included in the fourth information set is greater than the amount of information included in the third information set
  • the second function includes at least one of the following: uplink channel estimation, uplink beam management, uplink positioning, channel state information CSI feedback, and mobility management.
  • the network device 800 further includes: a communication unit 820;
  • the communication unit 820 is configured to respectively send the fifth information and the sixth information to the terminal device;
  • the fifth information is determined based on the computing resources available to the network device within the third duration, and the fifth information is used to configure the first uplink reference signal resource information;
  • the sixth information is determined based on the computing resources available to the network device within the fourth duration, and the sixth information is used to configure the second uplink reference signal resource information;
  • the computing resources available in the third time length are more than the computing resources available in the fourth time length; the third information set is determined based on the uplink reference signal sent by the terminal device through the first uplink reference signal resource information, and the fourth information set is determined based on the uplink reference signal sent by the terminal device through the second uplink reference signal resource information.
  • the network device 800 further includes: a communication unit 820;
  • the communication unit 820 is configured to respectively send the seventh information and the eighth information to the terminal device;
  • the seventh information is determined based on the computing resources available to the network device within the third duration, and the eighth information is determined based on the computing resources available to the network device within the fourth duration; the seventh information is used to configure the third model, and the eighth information is used to configure the fourth model; or, the seventh information is used to configure the third algorithm, and the eighth information is used to configure the fourth algorithm; the computing resources available in the third duration are more than the computing resources available in the fourth duration;
  • the third model and the fourth model are CSI feedback models, the third information set is determined based on the CSI information fed back by the terminal device through the third model, and the fourth information set is determined based on the CSI information fed back by the terminal device through the fourth model; or, the third algorithm and the fourth algorithm are CSI feedback algorithms, the third information set is determined based on the CSI information fed back by the terminal device through the third algorithm, and the fourth information set is determined based on the CSI information fed back by the terminal device through the fourth algorithm.
  • the network device 800 further includes: a communication unit 820;
  • the communication unit 820 is configured to respectively send the ninth information and the tenth information to the terminal device;
  • the ninth information is determined based on the computing resources available to the network device within the third duration, and the ninth information is used to configure the first positioning reference signal resource information;
  • the tenth information is determined based on the computing resources available to the network device within the fourth duration, and the tenth information is used to configure the second positioning reference signal resource information;
  • the computing resources available in the third duration are more than the computing resources available in the fourth duration; the third information set is determined based on the positioning information obtained by the terminal device through the first positioning reference signal resource information, and the fourth information set is determined based on the positioning information obtained by the terminal device through the second positioning reference signal resource information.
  • the processing unit 810 is further configured to determine the third model according to the computing resources available to the network device within the third duration, and/or, the processing unit 810 is further configured to determine the fourth model according to the computing resources available to the network device within the fourth duration; or,
  • the processing unit 810 is further configured to determine the third algorithm according to the computing resources available to the network device within the third duration, and/or, the processing unit 810 is further configured to determine the fourth algorithm according to the computing resources available to the network device within the fourth duration.
  • the computing resource available to the network device is determined by at least one of the following: the computing capability of the network device, and the computing capability level of the network device.
  • the correspondence between the computing resources available to the network device and the computing capabilities of the network device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, the network device configuration, the terminal device configuration; and/or,
  • the corresponding relationship between the available computing resources of the network device and the computing capability level of the network device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, the network device configuration, and the terminal device configuration.
  • the computing capability of the network device includes fixed computing capability and real-time computing capability.
  • the above-mentioned communication unit may be a communication interface or a transceiver, or an input-output interface of a communication chip or a system-on-chip.
  • the aforementioned processing unit may be one or more processors.
  • the network device 800 may correspond to the network device in the method embodiment of the present application, and the above-mentioned and other operations and/or functions of each unit in the network device 800 are respectively in order to realize the corresponding flow of the network device in the method 400 shown in FIG.
  • Fig. 15 shows a schematic block diagram of a terminal device 900 according to an embodiment of the present application.
  • the terminal device 900 includes:
  • a communication unit 910 configured to receive second indication information sent by the network device
  • the second instruction information is used to instruct the network device to switch the network model used to realize the second function from the third model to the fourth model when the computing resources are insufficient, and the input of the third model is the third information set, and the input of the fourth model is the fourth information set; or, the second instruction information is used to instruct the network device to switch the algorithm used to realize the second function from the third algorithm to the fourth algorithm when the computing resources are insufficient, and the input of the third algorithm is the third information set, and the input of the fourth algorithm is the fourth information set;
  • the complexity of the fourth model is lower than that of the third model
  • the complexity of the fourth algorithm is lower than that of the third algorithm
  • the amount of information included in the fourth information set is greater than the amount of information included in the third information set
  • the second function includes at least one of the following: uplink channel estimation, uplink beam management, uplink positioning, channel state information CSI feedback, and mobility management.
  • the communication unit 910 is further configured to respectively receive fifth information and sixth information sent by the network device;
  • the fifth information is determined based on the computing resources available to the network device within the third duration, and the fifth information is used to configure the first uplink reference signal resource information;
  • the sixth information is determined based on the computing resources available to the network device within the fourth duration, and the sixth information is used to configure the second uplink reference signal resource information;
  • the computing resources available in the third time length are more than the computing resources available in the fourth time length; the third information set is determined based on the uplink reference signal sent by the terminal device through the first uplink reference signal resource information, and the fourth information set is determined based on the uplink reference signal sent by the terminal device through the second uplink reference signal resource information.
  • the communication unit 910 is further configured to respectively receive the seventh information and the eighth information sent by the network device;
  • the seventh information is determined based on the computing resources available to the network device within the third duration, and the eighth information is determined based on the computing resources available to the network device within the fourth duration; the seventh information is used to configure the third model, and the eighth information is used to configure the fourth model; or, the seventh information is used to configure the third algorithm, and the eighth information is used to configure the fourth algorithm; the computing resources available in the third duration are more than the computing resources available in the fourth duration;
  • the third model and the fourth model are CSI feedback models, the third information set is determined based on the CSI information fed back by the terminal device through the third model, and the fourth information set is determined based on the CSI information fed back by the terminal device through the fourth model; or, the third algorithm and the fourth algorithm are CSI feedback algorithms, the third information set is determined based on the CSI information fed back by the terminal device through the third algorithm, and the fourth information set is determined based on the CSI information fed back by the terminal device through the fourth algorithm.
  • the communication unit 910 is further configured to respectively receive ninth information and tenth information sent by the network device;
  • the ninth information is determined based on the computing resources available to the network device within the third duration, and the ninth information is used to configure the first positioning reference signal resource information;
  • the tenth information is determined based on the computing resources available to the network device within the fourth duration, and the tenth information is used to configure the second positioning reference signal resource information;
  • the computing resources available in the third duration are more than the computing resources available in the fourth duration; the third information set is determined based on the positioning information obtained by the terminal device through the first positioning reference signal resource information, and the fourth information set is determined based on the positioning information obtained by the terminal device through the second positioning reference signal resource information.
  • the third model is determined based on the computing resources available to the network device within the third duration, and/or, the fourth model is determined based on the computing resources available to the network device within the fourth duration; or,
  • the third algorithm is determined based on the computing resources available to the network device within the third duration, and/or the fourth algorithm is determined based on the computing resources available to the network device within the fourth duration.
  • the computing resource available to the network device is determined by at least one of the following: the computing capability of the network device, and the computing capability level of the network device.
  • the correspondence between the computing resources available to the network device and the computing capabilities of the network device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, the network device configuration, the terminal device configuration; and/or,
  • the corresponding relationship between the available computing resources of the network device and the computing capability level of the network device is determined by at least one of the following: protocol agreement, pre-definition, operator pre-configuration, the network device configuration, and the terminal device configuration.
  • the computing capability of the network device includes fixed computing capability and real-time computing capability.
  • the above-mentioned communication unit may be a communication interface or a transceiver, or an input-output interface of a communication chip or a system-on-chip.
  • the aforementioned processing unit may be one or more processors.
  • terminal device 900 may correspond to the terminal device in the method embodiment of the present application, and the above-mentioned and other operations and/or functions of each unit in the terminal device 900 are to realize the corresponding process of the terminal device in the method 500 shown in FIG.
  • Fig. 16 is a schematic structural diagram of a communication device 1000 provided by an embodiment of the present application.
  • the communication device 1000 shown in FIG. 16 includes a processor 1010, and the processor 1010 can invoke and run a computer program from a memory, so as to implement the method in the embodiment of the present application.
  • the communication device 1000 may further include a memory 1020 .
  • the processor 1010 can call and run a computer program from the memory 1020, so as to implement the method in the embodiment of the present application.
  • the memory 1020 may be an independent device independent of the processor 1010 , or may be integrated in the processor 1010 .
  • the communication device 1000 may further include a transceiver 1030, and the processor 1010 may control the transceiver 1030 to communicate with other devices, specifically, may send information or data to other devices, or receive information or data sent by other devices.
  • the transceiver 1030 may include a transmitter and a receiver.
  • the transceiver 1030 may further include antennas, and the number of antennas may be one or more.
  • the communication device 1000 may specifically be the network device of the embodiment of the present application, and the communication device 1000 may implement the corresponding processes implemented by the network device in each method of the embodiment of the present application. For the sake of brevity, details are not repeated here.
  • the communication device 1000 may specifically be the terminal device of the embodiment of the present application, and the communication device 1000 may implement the corresponding processes implemented by the terminal device in each method of the embodiment of the present application. For the sake of brevity, details are not repeated here.
  • Fig. 17 is a schematic structural diagram of a device according to an embodiment of the present application.
  • the apparatus 1100 shown in FIG. 17 includes a processor 1110, and the processor 1110 can invoke and run a computer program from a memory, so as to implement the method in the embodiment of the present application.
  • the device 1100 may further include a memory 1120 .
  • the processor 1110 can invoke and run a computer program from the memory 1120, so as to implement the method in the embodiment of the present application.
  • the memory 1120 may be an independent device independent of the processor 1110 , or may be integrated in the processor 1110 .
  • the device 1100 may further include an input interface 1130 .
  • the processor 1110 can control the input interface 1130 to communicate with other devices or chips, specifically, can obtain information or data sent by other devices or chips.
  • the device 1100 may further include an output interface 1140 .
  • the processor 1110 can control the output interface 1140 to communicate with other devices or chips, specifically, can output information or data to other devices or chips.
  • the device can be applied to the network device in the embodiments of the present application, and the device can implement the corresponding processes implemented by the network device in the methods of the embodiments of the present application. For the sake of brevity, details are not repeated here.
  • the device can be applied to the terminal device in the embodiment of the present application, and the device can implement the corresponding process implemented by the terminal device in each method of the embodiment of the present application. For the sake of brevity, details are not repeated here.
  • the device mentioned in the embodiment of the present application may also be a chip.
  • it may be a system-on-a-chip, a system-on-a-chip, a system-on-a-chip, or a system-on-a-chip.
  • Fig. 18 is a schematic block diagram of a communication system 1200 provided by an embodiment of the present application. As shown in FIG. 18 , the communication system 1200 includes a terminal device 1210 and a network device 1220 .
  • the terminal device 1210 can be used to realize the corresponding functions realized by the terminal device in the above method
  • the network device 1220 can be used to realize the corresponding functions realized by the network device in the above method.
  • details are not repeated here.
  • the processor in the embodiment of the present application may be an integrated circuit chip, which has a signal processing capability.
  • each step of the above-mentioned method embodiments may be completed by an integrated logic circuit of hardware in a processor or instructions in the form of software.
  • the above-mentioned processor may be a general-purpose processor, a digital signal processor (Digital Signal Processor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), an off-the-shelf programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components.
  • DSP Digital Signal Processor
  • ASIC Application Specific Integrated Circuit
  • FPGA Field Programmable Gate Array
  • Various methods, steps, and logic block diagrams disclosed in the embodiments of the present application may be implemented or executed.
  • a general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.
  • the steps of the method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor.
  • the software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory or electrically erasable programmable memory, register.
  • the storage medium is located in the memory, and the processor reads the information in the memory, and completes the steps of the above method in combination with its hardware.
  • the memory in the embodiments of the present application may be a volatile memory or a nonvolatile memory, or may include both volatile and nonvolatile memories.
  • the non-volatile memory may be a read-only memory (Read-Only Memory, ROM), a programmable read-only memory (Programmable ROM, PROM), an erasable programmable read-only memory (Erasable PROM, EPROM), an electrically erasable programmable read-only memory (Electrically EPROM, EEPROM) or a flash memory.
  • the volatile memory can be Random Access Memory (RAM), which acts as external cache memory.
  • RAM Static RAM
  • DRAM Dynamic RAM
  • SDRAM Synchronous DRAM
  • DDR SDRAM Double Data Rate SDRAM
  • Enhanced Synchronous Dynamic Random Access Memory Enhanced SDRAM, ESDRAM
  • Synchronous Connect dynamic random access memory Synchronous Connect dynamic random access memory
  • SLDRAM Synchronous Connect dynamic random access memory
  • DR RAM Direct Rambus RAM
  • the memory in the embodiment of the present application can also be static random access memory (static RAM, SRAM), dynamic random access memory (dynamic RAM, DRAM), synchronous dynamic random access memory (synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous connection dynamic random access memory (synch link DRAM, SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DR RAM) and so on. That is, the memory in the embodiments of the present application is intended to include, but not be limited to, these and any other suitable types of memory.
  • the embodiment of the present application also provides a computer-readable storage medium for storing computer programs.
  • the computer-readable storage medium can be applied to the network device in the embodiments of the present application, and the computer program enables the computer to execute the corresponding processes implemented by the network device in the various methods of the embodiments of the present application. For the sake of brevity, details are not repeated here.
  • the computer-readable storage medium can be applied to the terminal device in the embodiments of the present application, and the computer program causes the computer to execute the corresponding processes implemented by the terminal device in the methods of the embodiments of the present application. For the sake of brevity, details are not repeated here.
  • the embodiment of the present application also provides a computer program product, including computer program instructions.
  • the computer program product can be applied to the network device in the embodiments of the present application, and the computer program instructions cause the computer to execute the corresponding processes implemented by the network device in the various methods of the embodiments of the present application. For the sake of brevity, details are not repeated here.
  • the computer program product can be applied to the terminal device in the embodiments of the present application, and the computer program instructions cause the computer to execute the corresponding processes implemented by the terminal device in the various methods of the embodiments of the present application. For the sake of brevity, details are not repeated here.
  • the embodiment of the present application also provides a computer program.
  • the computer program can be applied to the network device in the embodiment of the present application.
  • the computer program is run on the computer, the computer is made to execute the corresponding process implemented by the network device in each method of the embodiment of the present application.
  • details are not repeated here.
  • the computer program can be applied to the terminal device in the embodiment of the present application.
  • the computer program is run on the computer, the computer is made to execute the corresponding process implemented by the terminal device in each method of the embodiment of the present application.
  • details are not repeated here.
  • the disclosed systems, devices and methods may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division. In actual implementation, there may be other division methods.
  • multiple units or components may be combined or integrated into another system, or some features may be ignored or not implemented.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.
  • the functions described above are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium.
  • the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product
  • the computer software product is stored in a storage medium, and includes several instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the application.
  • the aforementioned storage medium includes: various media that can store program codes such as U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk.

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Databases & Information Systems (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

本申请实施例提供了一种无线通信的方法、终端设备和网络设备，无线通信的方法，包括：在终端设备的计算资源不足的情况下，终端设备将用于实现第一功能的网络模型从第一模型切换至第二模型，且第一模型的输入为第一信息集，第二模型的输入为第二信息集；或者，在终端设备的计算资源不足的情况下，终端设备将用于实现第一功能的算法从第一算法切换至第二算法，且第一算法的输入为第一信息集，第二算法的输入为第二信息集；其中，第二模型的复杂度低于第一模型，第二算法的复杂度低于第一算法，第二信息集包括的信息数量大于第一信息集包括的信息数量，第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、CSI反馈、移动性管理。

Description

无线通信的方法、终端设备和网络设备 技术领域
本申请实施例涉及通信领域，并且更具体地，涉及一种无线通信的方法、终端设备和网络设备。
背景技术
在新无线(New Radio，NR)系统中，可以基于网络模型或算法实现信道估计、信道状态信息(Channel State Information，CSI)反馈、波束管理、定位、移动性管理功能等，以获得性能增益。然而，网络模型或算法对计算资源的依赖程度往往比较高，随着计算资源的不足，导致网络模型或算法处理时长的波动和延迟，会在很大程度上影响网络模型或算法的性能。因此，在计算资源不足的情况下，如何避免网络模型或算法的性能受损，是一个亟待解决的问题。
发明内容
本申请实施例提供了一种无线通信的方法、终端设备和网络设备，在计算资源不足的情况下，可以进行网络模型或算法切换，切换之后的模型或算法的复杂度降低了，且输入切换之后的模型或算法的信息数量增多了，从而，能够在计算资源不足的情况下避免网络模型或算法的性能受损。
第一方面，提供了一种无线通信的方法，该方法包括：
在终端设备的计算资源不足的情况下，该终端设备将用于实现第一功能的网络模型从第一模型切换至第二模型，且该第一模型的输入为第一信息集，该第二模型的输入为第二信息集；或者，
在终端设备的计算资源不足的情况下，该终端设备将用于实现第一功能的算法从第一算法切换至第二算法，且该第一算法的输入为第一信息集，该第二算法的输入为第二信息集；
其中，该第二模型的复杂度低于该第一模型，该第二算法的复杂度低于该第一算法，该第二信息集包括的信息数量大于该第一信息集包括的信息数量，该第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、CSI反馈、移动性管理。
第二方面，提供了一种无线通信的方法，该方法包括：
网络设备向终端设备发送第一指示信息；
其中，该第一指示信息用于指示该终端设备在计算资源不足的情况下将用于实现第一功能的网络模型从第一模型切换至第二模型，且该第一模型的输入为第一信息集，该第二模型的输入为第二信息集；或者，该第一指示信息用于指示该终端设备在计算资源不足的情况下将用于实现第一功能的算法从第一算法切换至第二算法，且该第一算法的输入为第一信息集，该第二算法的输入为第二信息集；
其中，该第二模型的复杂度低于该第一模型，该第二算法的复杂度低于该第一算法，该第二信息集包括的信息数量大于该第一信息集包括的信息数量，该第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、CSI反馈、移动性管理。
第三方面，提供了一种无线通信的方法，该方法包括：
在网络设备的计算资源不足的情况下，该网络设备将用于实现第二功能的网络模型从第三模型切换至第四模型，且该第三模型的输入为第三信息集，该第四模型的输入为第四信息集；或者，
在网络设备的计算资源不足的情况下，该网络设备将用于实现第二功能的算法从第三算法切换至第四算法，且该第三算法的输入为第三信息集，该第四算法的输入为第四信息集；
其中，该第四模型的复杂度低于该第三模型，该第四算法的复杂度低于该第三算法，该第四信息集包括的信息数量大于该第三信息集包括的信息数量，该第二功能包括以下至少之一：上行信道估计、上行波束管理、上行定位、CSI反馈、移动性管理。
第四方面，提供了一种无线通信的方法，该方法包括：
终端设备接收网络设备发送的第二指示信息；
其中，该第二指示信息用于指示该网络设备在计算资源不足的情况下将用于实现第二功能的网络模型从第三模型切换至第四模型，且该第三模型的输入为第三信息集，该第四模型的输入为第四信息集；或者，该第二指示信息用于指示该网络设备在计算资源不足的情况下将用于实现第二功能的算法从第三算法切换至第四算法，且该第三算法的输入为第三信息集，该第四算法的输入为第四信息集；
其中，该第四模型的复杂度低于该第三模型，该第四算法的复杂度低于该第三算法，该第四信息集包括的信息数量大于该第三信息集包括的信息数量，该第二功能包括以下至少之一：上行信道估计、上行波束管理、上行定位、CSI反馈、移动性管理。
第五方面，提供了一种终端设备，用于执行上述第一方面中的方法。
具体地，该终端设备包括用于执行上述第一方面中的方法的功能模块。
第六方面，提供了一种网络设备，用于执行上述第二方面中的方法。
具体地，该网络设备包括用于执行上述第二方面中的方法的功能模块。
第七方面，提供了一种网络设备，用于执行上述第三方面中的方法。
具体地，该终端设备包括用于执行上述第三方面中的方法的功能模块。
第八方面，提供了一种终端设备，用于执行上述第四方面中的方法。
具体地，该终端设备包括用于执行上述第四方面中的方法的功能模块。
第九方面，提供了一种终端设备，包括处理器和存储器；该存储器用于存储计算机程序，该处理器用于调用并运行该存储器中存储的计算机程序，使得该终端设备执行上述第一方面中的方法。
第十方面，提供了一种网络设备，包括处理器和存储器；该存储器用于存储计算机程序，该处理器用于调用并运行该存储器中存储的计算机程序，使得该网络设备执行上述第二方面中的方法。
第十一方面，提供了一种网络设备，包括处理器和存储器；该存储器用于存储计算机程序，该处理器用于调用并运行该存储器中存储的计算机程序，使得该网络设备执行上述第三方面中的方法。
第十二方面，提供了一种终端设备，包括处理器和存储器；该存储器用于存储计算机程序，该处理器用于调用并运行该存储器中存储的计算机程序，使得该终端设备执行上述第四方面中的方法。
第十三方面，提供了一种装置，用于实现上述第一方面至第四方面中的任一方面中的方法。
具体地，该装置包括：处理器，用于从存储器中调用并运行计算机程序，使得安装有该装置的设备执行如上述第一方面至第四方面中的任一方面中的方法。
第十四方面，提供了一种计算机可读存储介质，用于存储计算机程序，该计算机程序使得计算机执行上述第一方面至第四方面中的任一方面中的方法。
第十五方面，提供了一种计算机程序产品，包括计算机程序指令，所述计算机程序指令使得计算机执行上述第一方面至第四方面中的任一方面中的方法。
第十六方面，提供了一种计算机程序，当其在计算机上运行时，使得计算机执行上述第一方面至第四方面中的任一方面中的方法。
通过上述第一方面和第二方面的技术方案，在终端设备的计算资源不足的情况下，终端设备将用于实现第一功能的网络模型从第一模型切换至第二模型，第二模型的复杂度低于第一模型，输入第二模型的信息数量多于输入第一模型的信息数量，从而，能够在计算资源不足的情况下避免网络模型的性能受损。或者，在终端设备的计算资源不足的情况下，终端设备将用于实现第一功能的算法从第一算法切换至第二算法，第二算法的复杂度低于第一算法，输入第二算法的信息数量多于输入第一算法的信息数量，从而，能够在计算资源不足的情况下避免算法的性能受损。
通过上述第三方面和第四方面的技术方案，在网络设备的计算资源不足的情况下，网络设备将用于实现第二功能的网络模型从第三模型切换至第四模型，第四模型的复杂度低于第三模型，输入第四模型的信息数量多于输入第三模型的信息数量，从而，能够在计算资源不足的情况下避免网络模型的性能受损。或者，在网络设备的计算资源不足的情况下，网络设备将用于实现第二功能的算法从第三算法切换至第四算法，第四算法的复杂度低于第三算法，输入第四算法的信息数量多于输入第三算法的信息数量，从而，能够在计算资源不足的情况下避免算法的性能受损。
附图说明
图1是本申请实施例应用的一种通信系统架构的示意性图。
图2是本申请提供的一种基于AI的无线通信的示意性图。
图3是根据本申请实施例提供的一种无线通信的方法的示意性流程图。
图4是根据本申请实施例提供的第三信息和第四信息的示意性图。
图5是根据本申请实施例提供的一种下行参考信号配置、更新的示意性图。
图6是根据本申请实施例提供的另一种无线通信的方法的示意性流程图。
图7是根据本申请实施例提供的再一种无线通信的方法的示意性流程图。
图8是根据本申请实施例提供的一种上行参考信号配置、更新的示意性图。
图9是根据本申请实施例提供的一种CSI反馈方案更新的示意性图。
图10是根据本申请实施例提供的另一种下行参考信号配置、更新的示意性图。
图11是根据本申请实施例提供的再一种无线通信的方法的示意性流程图。
图12是根据本申请实施例提供的一种终端设备的示意性框图。
图13是根据本申请实施例提供的一种网络设备的示意性框图。
图14是根据本申请实施例提供的另一种网络设备的示意性框图。
图15是根据本申请实施例提供的另一种终端设备的示意性框图。
图16是根据本申请实施例提供的一种通信设备的示意性框图。
图17是根据本申请实施例提供的一种装置的示意性框图。
图18是根据本申请实施例提供的一种通信系统的示意性框图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。针对本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
本申请实施例的技术方案可以应用于各种通信系统，例如：全球移动通讯(Global System of Mobile communication，GSM)系统、码分多址(Code Division Multiple Access，CDMA)系统、宽带码分多址(Wideband Code Division Multiple Access，WCDMA)系统、通用分组无线业务(General Packet Radio Service，GPRS)、长期演进(Long Term Evolution，LTE)系统、先进的长期演进(Advanced long term evolution，LTE-A)系统、新无线(New Radio，NR)系统、NR系统的演进系统、非授权频谱上的LTE(LTE-based access to unlicensed spectrum，LTE-U)系统、非授权频谱上的NR(NR-based access to unlicensed spectrum，NR-U)系统、非地面通信网络(Non-Terrestrial Networks，NTN)系统、通用移动通信系统(Universal Mobile Telecommunication System，UMTS)、无线局域网(Wireless Local Area Networks，WLAN)、物联网(internet of things，IoT)、无线保真(Wireless Fidelity，WiFi)、第五代通信(5th-Generation，5G)系统或其他通信系统等。
通常来说，传统的通信系统支持的连接数有限，也易于实现，然而，随着通信技术的发展，移动通信系统将不仅支持传统的通信，还将支持例如，设备到设备(Device to Device，D2D)通信，机器到机器(Machine to Machine，M2M)通信，机器类型通信(Machine Type Communication，MTC)，车辆间(Vehicle to Vehicle，V2V)通信，或车联网(Vehicle to everything，V2X)通信等，本申请实施例也可以应用于这些通信系统。
在一些实施例中，本申请实施例中的通信系统可以应用于载波聚合(Carrier Aggregation，CA)场景，也可以应用于双连接(Dual Connectivity，DC)场景，还可以应用于独立(Standalone，SA)布网场景，或者应用于非独立(Non-Standalone，NSA)布网场景。
在一些实施例中，本申请实施例中的通信系统可以应用于非授权频谱，其中，非授权频谱也可以认为是共享频谱；或者，本申请实施例中的通信系统也可以应用于授权频谱，其中，授权频谱也可以认为是非共享频谱。
在一些实施例中，本申请实施例中的通信系统可以应用于FR1频段(对应频段范围410MHz到7.125GHz)，也可以应用于FR2频段(对应频段范围24.25GHz到52.6GHz)，还可以应用于新的频段例如对应52.6GHz到71GHz频段范围或对应71GHz到114.25GHz频段范围的高频频段。
本申请实施例结合网络设备和终端设备描述了各个实施例，其中，终端设备也可以称为用户设备(User Equipment，UE)、接入终端、用户单元、用户站、移动站、移动台、远方站、远程终端、移动设备、用户终端、终端、无线通信设备、用户代理或用户装置等。
终端设备可以是WLAN中的站点(STATION，ST)，可以是蜂窝电话、无绳电话、会话启动协议(Session Initiation Protocol，SIP)电话、无线本地环路(Wireless Local Loop，WLL)站、个人数字助理(Personal Digital Assistant，PDA)设备、具有无线通信功能的手持设备、计算设备或连接到无线调制解调器的其它处理设备、车载设备、可穿戴设备、下一代通信系统例如NR网络中的终端设备，或者未来演进的公共陆地移动网络(Public Land Mobile Network，PLMN)网络中的终端设备等。
在本申请实施例中，终端设备可以部署在陆地上，包括室内或室外、手持、穿戴或车载；也可以部署在水面上(如轮船等)；还可以部署在空中(例如飞机、气球和卫星上等)。
在本申请实施例中，终端设备可以是手机(Mobile Phone)、平板电脑(Pad)、带无线收发功能的电脑、虚拟现实(Virtual Reality，VR)终端设备、增强现实(Augmented Reality，AR)终端设备、工业控制(industrial control)中的无线终端设备、无人驾驶(self driving)中的无线终端设备、远程医疗(remote medical)中的无线终端设备、智能电网(smart grid)中的无线终端设备、运输安全(transportation safety)中的无线终端设备、智慧城市(smart city)中的无线终端设备或智慧家庭(smart home)中的无线终端设备、车载通信设备、无线通信芯片/专用集成电路(application specific integrated circuit，ASIC)/系统级芯片(System on Chip，SoC)等。
作为示例而非限定，在本申请实施例中，该终端设备还可以是可穿戴设备。可穿戴设备也可以称为穿戴式智能设备，是应用穿戴式技术对日常穿戴进行智能化设计、开发出可以穿戴的设备的总称，如眼镜、手套、手表、服饰及鞋等。可穿戴设备即直接穿在身上，或是整合到用户的衣服或配件的一种便携式设备。可穿戴设备不仅仅是一种硬件设备，更是通过软件支持以及数据交互、云端交互来实现强大的功能。广义穿戴式智能设备包括功能全、尺寸大、可不依赖智能手机实现完整或者部分的功能，例如：智能手表或智能眼镜等，以及只专注于某一类应用功能，需要和其它设备如智能手机配合 使用，如各类进行体征监测的智能手环、智能首饰等。
在本申请实施例中，网络设备可以是用于与移动设备通信的设备，网络设备可以是WLAN中的接入点(Access Point，AP)，GSM或CDMA中的基站(Base Transceiver Station，BTS)，也可以是WCDMA中的基站(NodeB，NB)，还可以是LTE中的演进型基站(Evolutional Node B，eNB或eNodeB)，或者中继站或接入点，或者车载设备、可穿戴设备以及NR网络中的网络设备或者基站(gNB)或者未来演进的PLMN网络中的网络设备或者NTN网络中的网络设备等。
作为示例而非限定，在本申请实施例中，网络设备可以具有移动特性，例如网络设备可以为移动的设备。在一些实施例中，网络设备可以为卫星、气球站。例如，卫星可以为低地球轨道(low earth orbit，LEO)卫星、中地球轨道(medium earth orbit，MEO)卫星、地球同步轨道(geostationary earth orbit，GEO)卫星、高椭圆轨道(High Elliptical Orbit，HEO)卫星等。在一些实施例中，网络设备还可以为设置在陆地、水域等位置的基站。
在本申请实施例中，网络设备可以为小区提供服务，终端设备通过该小区使用的传输资源(例如，频域资源，或者说，频谱资源)与网络设备进行通信，该小区可以是网络设备(例如基站)对应的小区，小区可以属于宏基站，也可以属于小小区(Small cell)对应的基站，这里的小小区可以包括：城市小区(Metro cell)、微小区(Micro cell)、微微小区(Pico cell)、毫微微小区(Femto cell)等，这些小小区具有覆盖范围小、发射功率低的特点，适用于提供高速率的数据传输服务。
示例性的，本申请实施例应用的通信系统100如图1所示。该通信系统100可以包括网络设备110，网络设备110可以是与终端设备120(或称为通信终端、终端)通信的设备。网络设备110可以为特定的地理区域提供通信覆盖，并且可以与位于该覆盖区域内的终端设备进行通信。
图1示例性地示出了一个网络设备和两个终端设备，在一些实施例中，该通信系统100可以包括多个网络设备并且每个网络设备的覆盖范围内可以包括其它数量的终端设备，本申请实施例对此不做限定。
在一些实施例中，该通信系统100还可以包括网络控制器、移动管理实体等其他网络实体，本申请实施例对此不作限定。
应理解，本申请实施例中网络/系统中具有通信功能的设备可称为通信设备。以图1示出的通信系统100为例，通信设备可包括具有通信功能的网络设备110和终端设备120，网络设备110和终端设备120可以为上文所述的具体设备，此处不再赘述；通信设备还可包括通信系统100中的其他设备，例如网络控制器、移动管理实体等其他网络实体，本申请实施例中对此不做限定。
应理解，本文中术语“系统”和“网络”在本文中常被可互换使用。本文中术语“和/或”，仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本文中字符“/”，一般表示前后关联对象是一种“或”的关系。
应理解，本文涉及第一通信设备和第二通信设备，第一通信设备可以是终端设备，例如手机，机器设施，用户前端设备(Customer Premise Equipment，CPE)，工业设备，车辆等；第二通信设备可以是第一通信设备的对端通信设备，例如网络设备，手机，工业设备，车辆等。本文中以第一通信设备是终端设备和第二通信设备是网络设备为具体实例进行描述。
本申请的实施方式部分使用的术语仅用于对本申请的具体实施例进行解释，而非旨在限定本申请。本申请的说明书和权利要求书及所述附图中的术语“第一”、“第二”、“第三”和“第四”等是用于区别不同对象，而不是用于描述特定顺序。此外，术语“包括”和“具有”以及它们任何变形，意图在于覆盖不排他的包含。
应理解，在本申请的实施例中提到的“指示”可以是直接指示，也可以是间接指示，还可以是表示具有关联关系。举例说明，A指示B，可以表示A直接指示B，例如B可以通过A获取；也可以表示A间接指示B，例如A指示C，B可以通过C获取；还可以表示A和B之间具有关联关系。
在本申请实施例的描述中，术语“对应”可表示两者之间具有直接对应或间接对应的关系，也可以表示两者之间具有关联关系，也可以是指示与被指示、配置与被配置等关系。
本申请实施例中，“预定义”或“预配置”可以通过在设备(例如，包括终端设备和网络设备)中预先保存相应的代码、表格或其他可用于指示相关信息的方式来实现，本申请对于其具体的实现方式不做限定。比如预定义可以是指协议中定义的。
本申请实施例中，所述“协议”可以指通信领域的标准协议，例如可以包括LTE协议、NR协议以及应用于未来的通信系统中的相关协议，本申请对此不做限定。
为便于理解本申请实施例的技术方案，以下通过具体实施例详述本申请的技术方案。以下相关技术作为可选方案与本申请实施例的技术方案可以进行任意结合，其均属于本申请实施例的保护范围。 本申请实施例包括以下内容中的至少部分内容。
基于人工智能(Artificial Intelligence，AI)的解决方案在无线通信系统中的应用越来越多，例如通过依靠人工智能实现：CSI反馈问题，如图2中的(a)所示，通过AI编码器和AI解码器的引入，实现基于AI的CSI信息的压缩和反馈；信道估计问题，如图2中的(b)所示，通过AI信道估计器实现对给定信道的高性能估计；定位问题，如图2中的(c)所示，通过基于AI的定位算法，依赖定位信道信息，获取高精度定位结果；波束管理问题，如图2中的(d)所示，通过基于AI的波束管理算法，基于已知的波束信息，获取优选的、或者更精细的波束信息、或者获取对未来时刻的波束信息的预测。
对于基于AI的无线通信解决方案来说，当前的研究陆续呈现出了一些性能增益和有效的效果，但是这里需要指出的是，对于这些工作来说在实际应用的时候还需要考虑这些解决方案对于资源的依赖程度和可能存在的问题。
对于基于AI的无线通信解决方案来说(本申请的讨论范围也不限定在基于AI的无线通信解决方案，也可以是面向普通的无线通信解决方案，这些方案本质上都会对资源存在依赖程度，例如对于计算资源，但由于基于AI的无线通信解决方案对于上述资源的依赖程度往往更高，所以本申请的描述中以基于AI的无线通信解决方案作为示例来说明该问题，可以认为本申请中描述的方法同样适用于普通的无线通信解决方案)，解决方案的主体执行者需要有一定的计算资源才能实现复杂计算的快速完成，也就是在上述资源的条件下才能完成对应的无线通信问题的解决。这里需要注意的是，对于同样的问题，同样的算法、模型解决方案，不同的上述资源条件虽然能够得到等价的计算结果，但是所需要的计算时长则会，差别很大。例如，以基于AI做信道估计为例，当信道估计的方案已经固定时，当可用的计算资源比较充足时，则完成信道估计的计算时间会比较短，而当计算资源并不充足时，则完成信道估计的计算时间会比较长。类似的问题也存在基于AI的例如CSI反馈、波束管理、定位、移动性管理等问题中。对于无线通信系统来说，由于大量的解决方案是需要在特定时间内完成的，也就是说上述基于AI的解决方案的时效性也是很重要的，所以如果随着计算等资源的不足，导致问题处理时长的波动和延迟，则会对整个系统设计的有效性带来问题，例如如果基于AI的信道估计由于算力的不足导致需要很长时间才能完成一次信道估计的话，这时估计出来的信道质量早已变化，这种估计已经失效。对于CSI反馈也是同样的问题，如果时效性得不到保证，则CSI反馈的意义也就没有了。对于定位问题来说，如果是实时定位，同样存在上述的问题。对于波束管理、移动性管理等问题也类似。
对于无线通信系统来说，例如基于AI的CSI反馈、基于AI的信道估计、基于AI的定位、基于AI的波束管理、基于AI的移动性管理等，如果计算等资源不足，导致上述问题的AI解决方案所需的时长超过了各个任务本身的时延需求时，一种比较直接的方案是采用更简单、复杂度更低的模型来替换当前的模型，这样可以降低上述解决方案的所需时长，从而满足各个任务本身的时延需求。
但是，如果直接采取了采用简单模型的解决方案时，往往相应模型、算法的复杂度是和对应问题的解决精度相关的，例如做基于AI的信道估计时，当基于AI的信道估计模型被替换成较为简单、计算耗时较快的新模型时，往往也会造成相应信道估计精度的下降。这时，当基于AI的解决方案耗时问题得到解决后，新的精度受损问题则会出现。
基于上述分析，可以发现对于基于AI的解决方案，这里以基于AI的无线通信解决方案为例，计算资源、计算时长、计算精度之间的关系是相互影响的，在不考虑其他因素的影响下，如果出现计算资源不足的问题，往往不能满足快速计算完成和获取高精度结果同时获取的效果。
但是，对于无线通信系统来说，我们发现并在本方案中提出可以通过适配调节计算资源与可利用信息资源之间的关系，来处理上述计算资源、计算时间、计算精度之间的矛盾，例如在计算资源有效的情况下，可以利用模型复杂度降低，但是模型可获取的有效输入信息增加的方法来避免方案精度的较大受损。
综上，如何处理好不同计算资源、模型算法运行时间、任务时间有效性直接的问题和冲突是一个需要解决的问题，本方案从计算资源、计算时长、计算精度、可利用信息四者之间相互关系和适配的角度出发，给出一种基于不同的终端设备和/或网络设备实时资源能力更新信息配置的方法。
以下通过具体实施例详述本申请的技术方案。
图3是根据本申请实施例的无线通信的方法200的示意性流程图，如图3所示，该无线通信的方法200可以包括如下内容中的至少部分内容：
S210，在终端设备的计算资源不足的情况下，该终端设备将用于实现第一功能的网络模型从第一模型切换至第二模型，且该第一模型的输入为第一信息集，该第二模型的输入为第二信息集；或者，在终端设备的计算资源不足的情况下，该终端设备将用于实现第一功能的算法从第一算法切换至第二 算法，且该第一算法的输入为第一信息集，该第二算法的输入为第二信息集；其中，该第二模型的复杂度低于该第一模型，该第二算法的复杂度低于该第一算法，该第二信息集包括的信息数量大于该第一信息集包括的信息数量，该第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、CSI反馈、移动性管理。
需要说明的是，对于无线通信系统来说，一种理解可以是在解决方案中提供更多的信息，会带来更大的计算复杂度，但可以获得更高的模型精度。但在上述思路中，没有充分考虑计算复杂度带来的计算时间过长的问题，此外，这种增大提供的信息带来的精度提升在实际无线通信中是难以获取的。在本申请实施例中，考虑了当计算资源受限导致需要使用简单模型从而实现在同等时间内完成模型的计算时，如果简单模型会造成性能的损失，这时则需要给简单模型提供更多的信息来弥补性能的损失。这里在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。在具体设计中，本申请从计算资源、计算时长、计算精度、可利用信息四者之间相互关系和适配的角度出发，给出了基于不同的终端设备实时计算资源更新信息配置的方案。
本申请中主要考虑的是当机器学习、神经网络所需利用的资源受限，例如计算资源(固定计算资源或者实时计算资源)受限时，可以通过采用更多的可利用信息作为网络模型或算法的输入，从而弥补计算资源受限所造成的网络模型或算法的性能损失。
在本申请实施例中，该第一模型和该第二模型可以为AI模型，也可以是非AI模型，本申请对此并不限定。
在本申请实施例中，在终端设备的计算资源不足的情况下，终端设备将用于实现第一功能的网络模型从第一模型切换至第二模型，第二模型的复杂度低于第一模型，输入第二模型的信息数量多于输入第一模型的信息数量，从而，能够在计算资源不足的情况下避免网络模型的性能受损。或者，在终端设备的计算资源不足的情况下，终端设备将用于实现第一功能的算法从第一算法切换至第二算法，第二算法的复杂度低于第一算法，输入第二算法的信息数量多于输入第一算法的信息数量，从而，能够在计算资源不足的情况下避免算法的性能受损。也即，本申请在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。
具体例如，该第一功能为下行信道估计，则该第一信息集包含的是用于实现下行信道估计的信息，以及该第二信息集包含的是用于实现下行信道估计的信息。此种情况下，用于实现下行信道估计的信息可以是下行信道信息。具体地，通过配置更多的下行参考信号资源，如在时域、频域上配置更密集的下行参考信号、采用更大的配置带宽等，有助于更准确地获取下行信道信息，即获取该第二信息集包含的用于实现下行信道估计的信息。
具体例如，该第一功能为下行波束管理，则该第一信息集包含的是用于实现下行波束管理的信息，以及该第二信息集包含的是用于实现下行波束管理的信息。此种情况下，用于实现下行波束管理的信息可以是下行波束信息。具体地，通过配置更多的下行参考信号资源，如在时域、频域上配置更密集的下行参考信号、采用更大的配置带宽等，有助于更准确地获取下行波束信息，即获取该第二信息集包含的用于实现下行波束管理的信息。
具体例如，该第一功能为下行定位，则该第一信息集包含的是用于实现下行定位的信息，以及该第二信息集包含的是用于实现下行定位的信息。此种情况下，用于实现下行定位的信息可以是下行位置信息。具体地，通过配置更多的下行参考信号资源，如在时域、频域上配置更密集的下行参考信号、采用更大的配置带宽等，有助于更准确地获取下行位置信息，即获取该第二信息集包含的用于实现下行定位的信息。
具体例如，该第一功能为CSI反馈，则该第一信息集包含的是用于实现CSI反馈的信息，以及该第二信息集包含的是用于实现CSI反馈的信息。此种情况下，用于实现CSI反馈的信息可以是CSI信息。具体地，通过配置更多的CSI反馈比特(即该第二信息集包含的是更多的CSI反馈比特携带的CSI信息)，更多的反馈比特会让反馈的CSI信息带有更精确的CSI信息，有利于在网络侧获得更好的CSI恢复效果。
具体例如，该第一功能为移动性管理，则该第一信息集包含的是用于实现移动性管理的信息，以及该第二信息集包含的是用于实现移动性管理的信息。此种情况下，用于实现移动性管理的信息可以是移动信息。具体地，通过配置更多的参考信号资源，如在时域、频域上配置更密集的参考信号、采用更大的配置带宽等，有助于更准确地获取移动信息，即获取该第二信息集包含的用于实现移动性管理的信息。
在一些实施例中，该终端设备分别接收第一信息和第二信息；其中，该第一信息基于该终端设备在第一时长内可用的计算资源确定，且该第一信息用于配置第一下行参考信号资源信息；该第二信息基于该终端设备在第二时长内可用的计算资源确定，且该第二信息用于配置第二下行参考信号资源信 息；该第一时长内可用的计算资源多于该第二时长内可用的计算资源。进一步的，该终端设备根据该第一下行参考信号资源信息获取该第一信息集，以及该终端设备根据该第二下行参考信号资源信息获取该第二信息集。
具体例如，该终端设备分别接收网络设备发送的该第一信息和该第二信息。当然，该终端设备也可以从其他终端设备处分别接收该第一信息和该第二信息。本申请对此并不限定。
需要说明的是，本实施例对第一时长的长度不作限定，例如，在该第一时长的长度较短时，可以将该第一时长看作是一个时刻。同理，本实施例对第二时长的长度不作限定，例如，在该第二时长的长度较短时，可以将该第二时长看作是一个时刻。
在一些实施例中，该第一信息还用于配置该第一模型，和/或，该第二信息还用于配置该第二模型。也即，该第一信息可以同时配置该第一下行参考信号资源信息和该第一模型，该第二信息可以同时配置该第二下行参考信号资源信息和该第二模型。此种情况下，在上述S210中，该终端设备将用于实现该第一功能的网络模型从该第一模型切换至该第二模型。
在一些实施例中，该第一信息还用于配置该第一算法，和/或，该第二信息还用于配置该第二算法。也即，该第一信息可以同时配置该第一下行参考信号资源信息和该第一算法，该第二信息可以同时配置该第二下行参考信号资源信息和该第二算法。此种情况下，在上述S210中，该终端设备将用于实现该第一功能的算法从该第一算法切换至该第二算法。
在一些实施例中，该终端设备根据该终端设备在该第一时长内可用的计算资源确定该第一模型，和/或，该终端设备根据该终端设备在该第二时长内可用的计算资源确定该第二模型。也即，该终端设备可以基于自身可用的计算资源确定用于实现该第一功能的网络模型，此种情况下，该终端设备处例如配置有可用的计算资源与用于实现该第一功能的网络模型之间的对应关系。
在一些实施例中，该终端设备根据该终端设备在该第一时长内可用的计算资源确定该第一算法，和/或，该终端设备根据该终端设备在该第二时长内可用的计算资源确定该第二算法。也即，该终端设备可以基于自身可用的计算资源确定用于实现该第一功能的算法，此种情况下，该终端设备处例如配置有可用的计算资源与用于实现该第一功能的算法之间的对应关系。
在一些实施例中，该终端设备可用的计算资源通过以下至少之一确定：该终端设备的计算能力，该终端设备的计算能力等级。可选地，该终端设备的计算能力包括固定计算能力和实时计算能力。
需要说明的是，对于计算能力的评价可以用单位时间内所能执行的计算次数来作为指标。
具体地，可以将计算能力进行等级划分，将计算能力分为N类，例如分为高性能、中性能、低性能三个等级。
在一些实施例中，该终端设备可用的计算资源与该终端设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，该终端设备配置。
具体例如，网络设备可以通过广播、下行控制信息(Downlink Control Information，DCI)、媒体接入控制层控制单元(Media Access Control Control Element，MAC CE)、无线资源控制(Radio Resource Control，RRC)信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、上行广播信道中的一种或多种配置该终端设备可用的计算资源与该终端设备的计算能力之间的对应关系。
在一些实施例中，该终端设备可用的计算资源与该终端设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，该终端设备配置。
具体例如，网络设备可以通过广播、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道中的一种或多种配置该终端设备可用的计算资源与该终端设备的计算能力等级之间的对应关系。
具体例如，终端设备可以通过上行数据信道、上行控制信道、上行控制信息(Uplink Control Information，UCI)、特定的上行人工智能类数据传输信道传输、特定的上行组播信道、上行广播信道中的一种或多种配置该终端设备可用的计算资源与该终端设备的计算能力等级之间的对应关系。
在一些实施例中，该第一信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。和/或，该第二信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。
在一些实施例中，该终端设备分别发送第三信息和第四信息；
其中，该第三信息包括以下至少之一：该终端设备在该第一时长内可用的计算资源，该终端设备在该第一时长内的计算能力，该终端设备在该第一时长内的计算能力等级；
其中，该第四信息包括以下至少之一：该终端设备在该第二时长内可用的计算资源，该终端设备在该第二时长内的计算能力，该终端设备在该第二时长内的计算能力等级。
具体例如，如图4所示，该终端设备分别向该网络设备上报该第三信息和第四信息。
在一些实施例中，该第三信息为UCI，或者，该第三信息为RRC消息；其中，该第三信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道。和/或，在一些实施例中，该第四信息为UCI，或者，该第四信息为RRC消息；其中，该第四信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道。
具体例如，如图5所示，终端设备(UE)确定自身的可利用计算资源，例如，终端设备确定第一时刻的可利用计算资源是第一类计算资源，或者，终端设备确定第一时刻的可利用计算资源对应第一计算能力，或者，终端设备确定第一时刻的可利用计算资源对应第一计算能力等级。终端设备上报当前(即第一时刻)可利用计算资源信息(如第一类计算资源，或第一计算能力，或第一计算能力等级)给网络设备，网络设备(如基站)根据终端设备在第一时刻的可利用计算资源信息，配置与第一时刻的可利用计算资源信息匹配的第一参考信号资源至终端设备。可选地，网络设备还可以配置与第一时刻的可利用计算资源信息匹配的第一模型或第一算法，或者，终端设备确定与第一时刻的可利用计算资源信息匹配的第一模型或第一算法。终端设备根据第一参考信号资源获取下行信道信息。在第二时刻，终端设备的实时可利用计算资源发生改变，变更为了第二类计算资源，或者，对应第二计算能力，或者，对应第二计算能力等级，终端设备上报或更新可利用计算资源信息(如第二类计算资源，或第二计算能力，或第二计算能力等级)给网络设备，网络设备根据当前(即第二时刻)终端设备的可利用计算资源信息，配置与第二时刻的可利用计算资源信息匹配的第二参考信号资源至终端设备。可选地，网络设备还可以配置与第二时刻的可利用计算资源信息匹配的第二模型或第二算法，或者，终端设备确定与第二时刻的可利用计算资源信息匹配的第二模型或第二算法。终端设备根据第二参考信号资源获取下行信道信息。可选地，如果第一类计算资源比第二类计算资源多或者等级强，终端设备基于第二参考信号资源获取的信道信息比基于第一参考信号资源获取的信道信息多，例如，第二参考信号资源可以在时域维度、频域维度相比于第一参考信号资源更密集，从而提供更精细的信道信息，从而实现下行信道估计、下行波束管理、下行定位、CSI反馈、移动性管理等。可选地，如果第一类计算资源比第二类计算资源少或者等级弱，终端设备基于第二参考信号资源获取的信道信息比基于第一参考信号资源获取的信道信息少，例如，第二参考信号资源可以在时域维度、频域维度相比于第一参考信号资源更稀疏，从而提供更少的信道信息，从而实现下行信道估计、下行波束管理、下行定位、CSI反馈、移动性管理等。可选地，在第二时刻的计算资源相较于第一时刻差时，也可以配置更少的参考信号，对应放弃精度只追求计算时间少的情况。可选地，在第二时刻的计算资源相较于第一时刻更好时，也可以配置更多的参考信号，对应算力更好时追求更高精度的情况。
因此，在本申请实施例中，在终端设备的计算资源不足的情况下，终端设备将用于实现第一功能的网络模型从第一模型切换至第二模型，第二模型的复杂度低于第一模型，输入第二模型的信息数量多于输入第一模型的信息数量，从而，能够在计算资源不足的情况下避免网络模型的性能受损。或者，在终端设备的计算资源不足的情况下，终端设备将用于实现第一功能的算法从第一算法切换至第二算法，第二算法的复杂度低于第一算法，输入第二算法的信息数量多于输入第一算法的信息数量，从而，能够在计算资源不足的情况下避免算法的性能受损。也即，本申请在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。
上文结合图3至图5，详细描述了本申请的终端侧实施例，下文结合图6，详细描述本申请的网络侧实施例，应理解，网络侧实施例与终端侧实施例相互对应，类似的描述可以参照终端侧实施例。
图6是根据本申请实施例的无线通信的方法300的示意性流程图，如图6所示，该无线通信的方法300可以包括如下内容中的至少部分内容：
S310，网络设备向终端设备发送第一指示信息；其中，该第一指示信息用于指示该终端设备在计算资源不足的情况下将用于实现第一功能的网络模型从第一模型切换至第二模型，且该第一模型的输入为第一信息集，该第二模型的输入为第二信息集；或者，该第一指示信息用于指示该终端设备在计算资源不足的情况下将用于实现第一功能的算法从第一算法切换至第二算法，且该第一算法的输入为第一信息集，该第二算法的输入为第二信息集；其中，该第二模型的复杂度低于该第一模型，该第二算法的复杂度低于该第一算法，该第二信息集包括的信息数量大于该第一信息集包括的信息数量，该第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、CSI反馈、移动性管理。
本申请中主要考虑的是当机器学习、神经网络所需利用的资源受限，例如计算资源(固定计算资源或者实时计算资源)受限时，可以通过采用更多的可利用信息作为网络模型或算法的输入，从而弥 补计算资源受限所造成的网络模型或算法的性能损失。
在本申请实施例中，该第一模型和该第二模型可以为AI模型，也可以是非AI模型，本申请对此并不限定。
在本申请实施例中，在终端设备的计算资源不足的情况下，终端设备将用于实现第一功能的网络模型从第一模型切换至第二模型，第二模型的复杂度低于第一模型，输入第二模型的信息数量多于输入第一模型的信息数量，从而，能够在计算资源不足的情况下避免网络模型的性能受损。或者，在终端设备的计算资源不足的情况下，终端设备将用于实现第一功能的算法从第一算法切换至第二算法，第二算法的复杂度低于第一算法，输入第二算法的信息数量多于输入第一算法的信息数量，从而，能够在计算资源不足的情况下避免算法的性能受损。也即，本申请在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。
在一些实施例中，该第一指示信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。
具体例如，该第一功能为下行信道估计，则该第一信息集包含的是用于实现下行信道估计的信息，以及该第二信息集包含的是用于实现下行信道估计的信息。此种情况下，用于实现下行信道估计的信息可以是下行信道信息。具体地，通过配置更多的下行参考信号资源，如在时域、频域上配置更密集的下行参考信号、采用更大的配置带宽等，有助于更准确地获取下行信道信息，即获取该第二信息集包含的用于实现下行信道估计的信息。
具体例如，该第一功能为下行波束管理，则该第一信息集包含的是用于实现下行波束管理的信息，以及该第二信息集包含的是用于实现下行波束管理的信息。此种情况下，用于实现下行波束管理的信息可以是下行波束信息。具体地，通过配置更多的下行参考信号资源，如在时域、频域上配置更密集的下行参考信号、采用更大的配置带宽等，有助于更准确地获取下行波束信息，即获取该第二信息集包含的用于实现下行波束管理的信息。
具体例如，该第一功能为下行定位，则该第一信息集包含的是用于实现下行定位的信息，以及该第二信息集包含的是用于实现下行定位的信息。此种情况下，用于实现下行定位的信息可以是下行位置信息。具体地，通过配置更多的下行参考信号资源，如在时域、频域上配置更密集的下行参考信号、采用更大的配置带宽等，有助于更准确地获取下行位置信息，即获取该第二信息集包含的用于实现下行定位的信息。
具体例如，该第一功能为CSI反馈，则该第一信息集包含的是用于实现CSI反馈的信息，以及该第二信息集包含的是用于实现CSI反馈的信息。此种情况下，用于实现CSI反馈的信息可以是CSI信息。具体地，通过配置更多的CSI反馈比特(即该第二信息集包含的是更多的CSI反馈比特携带的CSI信息)，更多的反馈比特会让反馈的CSI信息带有更精确的CSI信息，有利于在网络侧获得更好的CSI恢复效果。
具体例如，该第一功能为移动性管理，则该第一信息集包含的是用于实现移动性管理的信息，以及该第二信息集包含的是用于实现移动性管理的信息。此种情况下，用于实现移动性管理的信息可以是移动信息。具体地，通过配置更多的参考信号资源，如在时域、频域上配置更密集的参考信号、采用更大的配置带宽等，有助于更准确地获取移动信息，即获取该第二信息集包含的用于实现移动性管理的信息。
在一些实施例中，该网络设备根据该终端设备在第一时长内可用的计算资源确定第一信息，以及该网络设备根据该终端设备在第二时长内可用的计算资源确定第二信息；其中，该第一时长内可用的计算资源多于该第二时长内可用的计算资源；该第一信息用于配置第一下行参考信号资源信息，且该第一下行参考信号资源信息用于该终端设备获取该第一信息集；该第二信息用于配置第二下行参考信号资源信息，且该第二下行参考信号资源信息用于该终端设备获取该第二信息集；以及该网络设备分别向该终端设备发送该第一信息和该第二信息。
需要说明的是，本实施例对第一时长的长度不作限定，例如，在该第一时长的长度较短时，可以将该第一时长看作是一个时刻。同理，本实施例对第二时长的长度不作限定，例如，在该第二时长的长度较短时，可以将该第二时长看作是一个时刻。
在一些实施例中，该第一信息还用于配置该第一模型，和/或，该第二信息还用于配置该第二模型。也即，该第一信息可以同时配置该第一下行参考信号资源信息和该第一模型，该第二信息可以同时配置该第二下行参考信号资源信息和该第二模型。此种情况下，该终端设备将用于实现该第一功能的网络模型从该第一模型切换至该第二模型。
在一些实施例中，该第一信息还用于配置该第一算法，和/或，该第二信息还用于配置该第二算 法。也即，该第一信息可以同时配置该第一下行参考信号资源信息和该第一算法，该第二信息可以同时配置该第二下行参考信号资源信息和该第二算法。此种情况下，该终端设备将用于实现该第一功能的算法从该第一算法切换至该第二算法。
在一些实施例中，该第一模型基于该终端设备在该第一时长内可用的计算资源确定，和/或，该第二模型基于该终端设备在该第二时长内可用的计算资源确定。换句话说，该终端设备根据该终端设备在该第一时长内可用的计算资源确定该第一模型，和/或，该终端设备根据该终端设备在该第二时长内可用的计算资源确定该第二模型。也即，该终端设备可以基于自身可用的计算资源确定用于实现该第一功能的网络模型，此种情况下，该终端设备处例如配置有可用的计算资源与用于实现该第一功能的网络模型之间的对应关系。
在一些实施例中，该第一算法基于该终端设备在该第一时长内可用的计算资源确定，和/或，该第二算法基于该终端设备在该第二时长内可用的计算资源确定。换句话说，该终端设备根据该终端设备在该第一时长内可用的计算资源确定该第一算法，和/或，该终端设备根据该终端设备在该第二时长内可用的计算资源确定该第二算法。也即，该终端设备可以基于自身可用的计算资源确定用于实现该第一功能的算法，此种情况下，该终端设备处例如配置有可用的计算资源与用于实现该第一功能的算法之间的对应关系。
在一些实施例中，该终端设备可用的计算资源通过以下至少之一确定：该终端设备的计算能力，该终端设备的计算能力等级。可选地，该终端设备的计算能力包括固定计算能力和实时计算能力。
需要说明的是，对于计算能力的评价可以用单位时间内所能执行的计算次数来作为指标。
具体地，可以将计算能力进行等级划分，将计算能力分为N类，例如分为高性能、中性能、低性能三个等级。
在一些实施例中，该终端设备可用的计算资源与该终端设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，该终端设备配置。
具体例如，网络设备可以通过广播、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、上行广播信道中的一种或多种配置该终端设备可用的计算资源与该终端设备的计算能力之间的对应关系。
具体例如，终端设备可以通过上行数据信道、上行控制信道、UCI、特定的上行人工智能类数据传输信道传输、特定的上行组播信道、上行广播信道中的一种或多种配置该终端设备可用的计算资源与该终端设备的计算能力之间的对应关系。
在一些实施例中，该终端设备可用的计算资源与该终端设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，该终端设备配置。
具体例如，网络设备可以通过广播、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道中的一种或多种配置该终端设备可用的计算资源与该终端设备的计算能力等级之间的对应关系。
具体例如，终端设备可以通过上行数据信道、上行控制信道、UCI、特定的上行人工智能类数据传输信道传输、特定的上行组播信道、上行广播信道中的一种或多种配置该终端设备可用的计算资源与该终端设备的计算能力等级之间的对应关系。
在一些实施例中，该第一信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。和/或，该第二信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。
在一些实施例中，该网络设备接收该终端设备分别发送的第三信息和第四信息；
其中，该第三信息包括以下至少之一：该终端设备在该第一时长内可用的计算资源，该终端设备在该第一时长内的计算能力，该终端设备在该第一时长内的计算能力等级；
其中，该第四信息包括以下至少之一：该终端设备在该第二时长内可用的计算资源，该终端设备在该第二时长内的计算能力，该终端设备在该第二时长内的计算能力等级。
在一些实施例中，该第三信息为UCI，或者，该第三信息为RRC消息；其中，该第三信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道；和/或，该第四信息为UCI，或者，该第四信息为RRC消息；其中，该第四信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道。
因此，在本申请实施例中，网络设备可以指示终端设备在计算资源不足的情况下将用于实现第一 功能的网络模型从第一模型切换至第二模型，第二模型的复杂度低于第一模型，输入第二模型的信息数量多于输入第一模型的信息数量，从而，能够在计算资源不足的情况下避免网络模型的性能受损。或者，网络设备可以指示终端设备的计算资源不足的情况下将用于实现第一功能的算法从第一算法切换至第二算法，第二算法的复杂度低于第一算法，输入第二算法的信息数量多于输入第一算法的信息数量，从而，能够在计算资源不足的情况下避免算法的性能受损。也即，本申请在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。
图7是根据本申请实施例的无线通信的方法400的示意性流程图，如图7所示，该无线通信的方法400可以包括如下内容中的至少部分内容：
S410，在网络设备的计算资源不足的情况下，该网络设备将用于实现第二功能的网络模型从第三模型切换至第四模型，且该第三模型的输入为第三信息集，该第四模型的输入为第四信息集；或者，在网络设备的计算资源不足的情况下，该网络设备将用于实现第二功能的算法从第三算法切换至第四算法，且该第三算法的输入为第三信息集，该第四算法的输入为第四信息集；其中，该第四模型的复杂度低于该第三模型，该第四算法的复杂度低于该第三算法，该第四信息集包括的信息数量大于该第三信息集包括的信息数量，该第二功能包括以下至少之一：上行信道估计、上行波束管理、上行定位、CSI反馈、移动性管理。
需要说明的是，对于无线通信系统来说，一种理解可以是在解决方案中提供更多的信息，会带来更大的计算复杂度，但可以获得更高的模型精度。但在上述思路中，没有充分考虑计算复杂度带来的计算时间过长的问题，此外，这种增大提供的信息带来的精度提升在实际无线通信中是难以获取的。在本申请实施例中，考虑了当计算资源受限导致需要使用简单模型从而实现在同等时间内完成模型的计算时，如果简单模型会造成性能的损失，这时则需要给简单模型提供更多的信息来弥补性能的损失。这里在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。在具体设计中，本申请从计算资源、计算时长、计算精度、可利用信息四者之间相互关系和适配的角度出发，给出了基于不同的网络设备实时计算资源更新信息配置的方案。
本申请中主要考虑的是当机器学习、神经网络所需利用的资源受限，例如计算资源(固定计算资源或者实时计算资源)受限时，可以通过采用更多的可利用信息作为网络模型或算法的输入，从而弥补计算资源受限所造成的网络模型或算法的性能损失。
在本申请实施例中，该第三模型和该第四模型可以为AI模型，也可以是非AI模型，本申请对此并不限定。
在本申请实施例中，在网络设备的计算资源不足的情况下，网络设备将用于实现第二功能的网络模型从第三模型切换至第四模型，第四模型的复杂度低于第三模型，输入第四模型的信息数量多于输入第三模型的信息数量，从而，能够在计算资源不足的情况下避免网络模型的性能受损。或者，在网络设备的计算资源不足的情况下，网络设备将用于实现第二功能的算法从第三算法切换至第四算法，第四算法的复杂度低于第三算法，输入第四算法的信息数量多于输入第三算法的信息数量，从而，能够在计算资源不足的情况下避免算法的性能受损。也即，本申请在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。
具体例如，该第二功能为上行信道估计，则该第三信息集包含的是用于实现上行信道估计的信息，以及该第四信息集包含的是用于实现上行信道估计的信息。此种情况下，用于实现上行信道估计的信息可以是上行信道信息。具体地，通过配置更多的上行参考信号资源，如在时域、频域上配置更密集的上行参考信号、采用更大的配置带宽等，有助于更准确地获取上行信道信息，即获取该第四信息集包含的用于实现上行信道估计的信息。
具体例如，该第二功能为上行波束管理，则该第三信息集包含的是用于实现上行波束管理的信息，以及该第四信息集包含的是用于实现上行波束管理的信息。此种情况下，用于实现上行波束管理的信息可以是上行波束信息。具体地，通过配置更多的上行参考信号资源，如在时域、频域上配置更密集的上行参考信号、采用更大的配置带宽等，有助于更准确地获取上行波束信息，即获取该第四信息集包含的用于实现上行波束管理的信息。
具体例如，该第二功能为上行定位，则该第三信息集包含的是用于实现上行定位的信息，以及该第四信息集包含的是用于实现上行定位的信息。此种情况下，用于实现上行定位的信息可以是上行位置信息。具体地，通过配置更多的上行参考信号资源，如在时域、频域上配置更密集的上行参考信号、采用更大的配置带宽等，有助于更准确地获取上行位置信息，即获取该第四信息集包含的用于实现上行定位的信息。
具体例如，该第二功能为CSI反馈，则该第三信息集包含的是用于实现CSI反馈的信息，以及该第四信息集包含的是用于实现CSI反馈的信息。此种情况下，用于实现CSI反馈的信息可以是CSI 信息。具体地，通过配置更多的CSI反馈比特(即该第四信息集包含的是更多的CSI反馈比特携带的CSI信息)，更多的反馈比特会让反馈的CSI信息带有更精确的CSI信息，有利于在终端侧获得更好的CSI恢复效果。
具体例如，该第二功能为移动性管理，则该第三信息集包含的是用于实现移动性管理的信息，以及该第四信息集包含的是用于实现移动性管理的信息。此种情况下，用于实现移动性管理的信息可以是移动信息。具体地，通过配置更多的参考信号资源，如在时域、频域上配置更密集的参考信号、采用更大的配置带宽等，有助于更准确地获取移动信息，即获取该第四信息集包含的用于实现移动性管理的信息。
在一些实施例中，该网络设备分别向终端设备发送第五信息和第六信息；
其中，该第五信息基于该网络设备在第三时长内可用的计算资源确定，且该第五信息用于配置第一上行参考信号资源信息；该第六信息基于该网络设备在第四时长内可用的计算资源确定，且该第六信息用于配置第二上行参考信号资源信息；
其中，该第三时长内可用的计算资源多于该第四时长内可用的计算资源；该第三信息集基于该终端设备通过该第一上行参考信号资源信息发送的上行参考信号确定，该第四信息集基于该终端设备通过该第二上行参考信号资源信息发送的上行参考信号确定。
在一些实施例中，该第五信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。和/或，该第六信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。
在一些实施例中，该网络设备分别向终端设备发送第七信息和第八信息；
其中，该第七信息基于该网络设备在第三时长内可用的计算资源确定，该第八信息基于该网络设备在第四时长内可用的计算资源确定；该第七信息用于配置第三模型，且该第八信息用于配置第四模型；或者，该第七信息用于配置第三算法，且该第八信息用于配置第四算法；该第三时长内可用的计算资源多于该第四时长内可用的计算资源；
其中，该第三模型和该第四模型为CSI反馈模型，该第三信息集基于该终端设备通过该第三模型反馈的CSI信息确定，该第四信息集基于该终端设备通过该第四模型反馈的CSI信息确定；或者，该第三算法和该第四算法为CSI反馈算法，该第三信息集基于该终端设备通过该第三算法反馈的CSI信息确定，该第四信息集基于该终端设备通过该第四算法反馈的CSI信息确定。
在一些实施例中，该第七信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。和/或，该第八信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。
在一些实施例中，该网络设备分别向终端设备发送第九信息和第十信息；
其中，该第九信息基于该网络设备在第三时长内可用的计算资源确定，且该第九信息用于配置第一定位参考信号资源信息；该第十信息基于该网络设备在第四时长内可用的计算资源确定，且该第十信息用于配置第二定位参考信号资源信息；
其中，该第三时长内可用的计算资源多于该第四时长内可用的计算资源；该第三信息集基于该终端设备通过该第一定位参考信号资源信息获取的定位信息确定，该第四信息集基于该终端设备通过该第二定位参考信号资源信息获取的定位信息确定。
在一些实施例中，该第九信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。和/或，该第十信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。
需要说明的是，本实施例对第三时长的长度不作限定，例如，在该第三时长的长度较短时，可以将该第三时长看作是一个时刻。同理，本实施例对第四时长的长度不作限定，例如，在该第四时长的长度较短时，可以将该第四时长看作是一个时刻。
在一些实施例中，该网络设备根据该网络设备在该第三时长内可用的计算资源确定该第三模型，和/或，该网络设备根据该网络设备在该第四时长内可用的计算资源确定该第四模型。也即，该网络设备可以基于自身可用的计算资源确定用于实现该第二功能的网络模型，此种情况下，该网络设备处 例如配置有可用的计算资源与用于实现该第二功能的网络模型之间的对应关系。
在一些实施例中，该网络设备根据该网络设备在该第三时长内可用的计算资源确定该第三算法，和/或，该网络设备根据该网络设备在该第四时长内可用的计算资源确定该第四算法。也即，该网络设备可以基于自身可用的计算资源确定用于实现该第二功能的算法，此种情况下，该网络设备处例如配置有可用的计算资源与用于实现该第二功能的算法之间的对应关系。
在一些实施例中，该网络设备可用的计算资源通过以下至少之一确定：该网络设备的计算能力，该网络设备的计算能力等级。可选地，该网络设备的计算能力包括固定计算能力和实时计算能力。
需要说明的是，对于计算能力的评价可以用单位时间内所能执行的计算次数来作为指标。
具体地，可以将计算能力进行等级划分，将计算能力分为N类，例如分为高性能、中性能、低性能三个等级。
在一些实施例中，该网络设备可用的计算资源与该网络设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，该网络设备配置，该终端设备配置。
具体例如，终端设备可以通过上行数据信道、上行控制信道、UCI、特定的上行人工智能类数据传输信道传输、特定的上行组播信道、上行广播信道中的一种或多种配置该网络设备可用的计算资源与该网络设备的计算能力之间的对应关系。
在一些实施例中，该网络设备可用的计算资源与该网络设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，该网络设备配置，该终端设备配置。
具体例如，终端设备可以通过上行数据信道、上行控制信道、UCI、特定的上行人工智能类数据传输信道传输、特定的上行组播信道、上行广播信道中的一种或多种配置该网络设备可用的计算资源与该网络设备的计算能力等级之间的对应关系。
示例1，当处理上行信道估计、上行波束管理、上行定位等问题时，网络模型或算法部署在网络侧，在这种情况下，如图8所示，网络设备(基站)确定自身实时的可利用计算资源，例如，网络设备确定第一时刻的可利用计算资源是第一类计算资源，或者，网络设备确定第一时刻的可利用计算资源对应第一计算能力，或者，网络设备确定第一时刻的可利用计算资源对应第一计算能力等级。网络设备根据第一时刻的可利用计算资源信息(第一类计算资源，或第一计算能力，或第一计算能力等级)，配置与第一时刻的可利用计算资源信息匹配的第一参考信号资源(上行参考信号)至终端设备(UE)。可选地，网络设备也可以确定与第一时刻的可利用计算资源信息(第一类计算资源，或第一计算能力，或第一计算能力等级)匹配的第三模型或第三算法。终端设备基于第一参考信号资源发送上行参考信号。在第二时刻，网络设备的实时可利用计算资源是第二类计算资源，或者，对应第二计算能力，网络设备配置与第二时刻的可利用计算资源信息匹配的第二参考信号资源(上行参考信号)至终端设备。网络设备也可以确定与第二时刻的可利用计算资源信息(第二类计算资源，或第二计算能力，或第二计算能力等级)匹配的第四模型或第四算法。终端设备基于第二参考信号资源发送上行参考信号。可选地，如果第一类计算资源比第二类计算资源多或者等级强，终端设备基于第二参考信号资源发送的上行参考信号比基于第一参考信号资源发送的上行参考信号多，从而，网络设备通过终端设备基于第二参考信号资源发送的上行参考信号获取的信道信息比网络设备基于第一参考信号资源发送的上行参考信号获取的信道信息多，例如，第二参考信号资源可以在时域维度、频域维度相比于第一参考信号资源更密集，从而提供更精细的信道信息，从而实现上行信道估计、上行波束管理、上行定位、CSI反馈、移动性管理等。可选地，如果第一类计算资源比第二类计算资源少或者等级弱，终端设备基于第二参考信号资源发送的上行参考信号比基于第一参考信号资源发送的上行参考信号少，从而，网络设备通过终端设备基于第二参考信号资源发送的上行参考信号获取的信道信息比网络设备基于第一参考信号资源发送的上行参考信号获取的信道信息少，例如，第二参考信号资源可以在时域维度、频域维度相比于第一参考信号资源更稀疏，从而提供更少的信道信息，从而实现上行信道估计、上行波束管理、上行定位、CSI反馈、移动性管理等。可选地，在第二时刻的计算资源相较于第一时刻差时，也可以配置更少的上行参考信号，对应放弃精度只追求计算时间少的情况。可选地，在第二时刻的计算资源相较于第一时刻更好时，也可以配置更多的上行参考信号，对应算力更好时追求更高精度的情况。
示例2，如图9所示，网络设备(基站)确定自身实时的可利用计算资源，例如，网络设备确定第一时刻的可利用计算资源是第一类计算资源，或者，网络设备确定第一时刻的可利用计算资源对应第一计算能力，或者，网络设备确定第一时刻的可利用计算资源对应第一计算能力等级。网络设备根据第一时刻的可利用计算资源信息(第一类计算资源，或第一计算能力，或第一计算能力等级)，配置与第一时刻的可利用计算资源信息匹配的第一CSI反馈模型至终端设备(UE)。终端设备采用该第一CSI模型进行CSI反馈，需要反馈的反馈量为N 1比特。在第二时刻，网络设备的实时可利用计 算资源是第二类计算资源，或者对应第二计算能力，网络设备根据第二时刻的计算资源或者计算能力，配置与第二时刻的可利用计算资源信息匹配的第二CSI反馈模型至终端设备，终端设备采用第二CSI模型进行CSI反馈，需要反馈的反馈量为N 2比特。可选地，如果第一类计算资源比第二类计算资源多或者等级强，在CSI反馈模型更新后，终端设备可以反馈更多的CSI信息给网络设备，这样网络设备可实现在更多CSI信息的前提下用较为简单的模型在算力受限的条件下也在特定时间内完成高精度的CSI信息恢复，例如此时N 2可以大于N 1。
示例3，对于定位问题来说，当定位的模型部署在网络设备、或者定位服务器侧时，虽然用于定位的参考信号还是下行参考信号，但这时由于定位计算发生在网络设备或者定位服务器侧，所以这时候影响整体性能的算力还是网络设备的实时算力。具体来说，如图10所示，例如，网络设备(基站)确定第一时刻的可利用计算资源是第一类计算资源，或者，网络设备确定第一时刻的可利用计算资源对应第一计算能力，或者，网络设备确定第一时刻的可利用计算资源对应第一计算能力等级。网络设备根据第一时刻的可利用计算资源信息(第一类计算资源，或第一计算能力，或第一计算能力等级)，配置与第一时刻的可利用计算资源信息匹配的第一参考信号资源(下行参考信号，或者，定位参考信号)至终端设备(UE)。可选地，网络设备也可以确定与第一时刻的可利用计算资源信息(第一类计算资源，或第一计算能力，或第一计算能力等级)匹配的第三模型或第三算法。终端设备基于第一参考信号资源获取第一参考信号，终端设备基于第一参考信号获取第一定位信息，终端设备发送第一定位信息至网络设备，网络设备基于该第一定位信息确定定位结果。在第二时刻，网络设备的实时可利用计算资源是第二类计算资源，或者对应第二计算能力，网络设备配置与第二时刻的可利用计算资源信息匹配的第二参考信号资源(下行参考信号，或者，定位参考信号)至终端设备。网络设备也可以确定与第二时刻的可利用计算资源信息(第二类计算资源，或第二计算能力，或第二计算能力等级)匹配的第四模型或第四算法。终端设备基于第二参考信号资源获取第二参考信号，终端设备基于第二参考信号获取第二定位信息，终端设备发送第二定位信息至网络设备，网络设备基于该第二定位信息确定定位结果。如果第一类计算资源比第二类计算资源多或者等级强，第二参考信号资源可以比第一参考信号资源提供更多的信道信息，例如第二参考信号可以在时域维度、频域维度相比于第一参考信号更密集，从而提供更精细的信道信息，供上行定位等问题利用。
需要说明的是，可以认为定位服务器是一类特殊的网络设备，这里不再赘述拆分，也可以认为本申请描述的网络设备包括了定位服务器。
因此，在本申请实施例中，在网络设备的计算资源不足的情况下，网络设备将用于实现第二功能的网络模型从第三模型切换至第四模型，第四模型的复杂度低于第三模型，输入第四模型的信息数量多于输入第三模型的信息数量，从而，能够在计算资源不足的情况下避免网络模型的性能受损。或者，在网络设备的计算资源不足的情况下，网络设备将用于实现第二功能的算法从第三算法切换至第四算法，第四算法的复杂度低于第三算法，输入第四算法的信息数量多于输入第三算法的信息数量，从而，能够在计算资源不足的情况下避免算法的性能受损。也即，本申请在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。
上文结合图7至图10，详细描述了本申请的终端侧实施例，下文结合图11，详细描述本申请的网络侧实施例，应理解，网络侧实施例与终端侧实施例相互对应，类似的描述可以参照终端侧实施例。
图11是根据本申请实施例的无线通信的方法500的示意性流程图，如图11所示，该无线通信的方法500可以包括如下内容中的至少部分内容：
S510，终端设备接收网络设备发送的第二指示信息；其中，该第二指示信息用于指示该网络设备在计算资源不足的情况下将用于实现第二功能的网络模型从第三模型切换至第四模型，且该第三模型的输入为第三信息集，该第四模型的输入为第四信息集；或者，该第二指示信息用于指示该网络设备在计算资源不足的情况下将用于实现第二功能的算法从第三算法切换至第四算法，且该第三算法的输入为第三信息集，该第四算法的输入为第四信息集；其中，该第四模型的复杂度低于该第三模型，该第四算法的复杂度低于该第三算法，该第四信息集包括的信息数量大于该第三信息集包括的信息数量，该第二功能包括以下至少之一：上行信道估计、上行波束管理、上行定位、CSI反馈、移动性管理。
需要说明的是，对于无线通信系统来说，一种理解可以是在解决方案中提供更多的信息，会带来更大的计算复杂度，但可以获得更高的模型精度。但在上述思路中，没有充分考虑计算复杂度带来的计算时间过长的问题，此外，这种增大提供的信息带来的精度提升在实际无线通信中是难以获取的。在本申请实施例中，考虑了当计算资源受限导致需要使用简单模型从而实现在同等时间内完成模型的计算时，如果简单模型会造成性能的损失，这时则需要给简单模型提供更多的信息来弥补性能的损失。这里在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。在具体设计中，本申请从计 算资源、计算时长、计算精度、可利用信息四者之间相互关系和适配的角度出发，给出了基于不同的网络设备实时计算资源更新信息配置的方案。
本申请中主要考虑的是当机器学习、神经网络所需利用的资源受限，例如计算资源(固定计算资源或者实时计算资源)受限时，可以通过采用更多的可利用信息作为网络模型或算法的输入，从而弥补计算资源受限所造成的网络模型或算法的性能损失。
在本申请实施例中，该第三模型和该第四模型可以为AI模型，也可以是非AI模型，本申请对此并不限定。
在本申请实施例中，在网络设备的计算资源不足的情况下，网络设备将用于实现第二功能的网络模型从第三模型切换至第四模型，第四模型的复杂度低于第三模型，输入第四模型的信息数量多于输入第三模型的信息数量，从而，能够在计算资源不足的情况下避免网络模型的性能受损。或者，在网络设备的计算资源不足的情况下，网络设备将用于实现第二功能的算法从第三算法切换至第四算法，第四算法的复杂度低于第三算法，输入第四算法的信息数量多于输入第三算法的信息数量，从而，能够在计算资源不足的情况下避免算法的性能受损。也即，本申请在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。
在一些实施例中，该第二指示信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。
具体例如，该第二功能为上行信道估计，则该第三信息集包含的是用于实现上行信道估计的信息，以及该第四信息集包含的是用于实现上行信道估计的信息。此种情况下，用于实现上行信道估计的信息可以是上行信道信息。具体地，通过配置更多的上行参考信号资源，如在时域、频域上配置更密集的上行参考信号、采用更大的配置带宽等，有助于更准确地获取上行信道信息，即获取该第四信息集包含的用于实现上行信道估计的信息。
具体例如，该第二功能为上行波束管理，则该第三信息集包含的是用于实现上行波束管理的信息，以及该第四信息集包含的是用于实现上行波束管理的信息。此种情况下，用于实现上行波束管理的信息可以是上行波束信息。具体地，通过配置更多的上行参考信号资源，如在时域、频域上配置更密集的上行参考信号、采用更大的配置带宽等，有助于更准确地获取上行波束信息，即获取该第四信息集包含的用于实现上行波束管理的信息。
具体例如，该第二功能为上行定位，则该第三信息集包含的是用于实现上行定位的信息，以及该第四信息集包含的是用于实现上行定位的信息。此种情况下，用于实现上行定位的信息可以是上行位置信息。具体地，通过配置更多的上行参考信号资源，如在时域、频域上配置更密集的上行参考信号、采用更大的配置带宽等，有助于更准确地获取上行位置信息，即获取该第四信息集包含的用于实现上行定位的信息。
具体例如，该第二功能为CSI反馈，则该第三信息集包含的是用于实现CSI反馈的信息，以及该第四信息集包含的是用于实现CSI反馈的信息。此种情况下，用于实现CSI反馈的信息可以是CSI信息。具体地，通过配置更多的CSI反馈比特(即该第四信息集包含的是更多的CSI反馈比特携带的CSI信息)，更多的反馈比特会让反馈的CSI信息带有更精确的CSI信息，有利于在终端侧获得更好的CSI恢复效果。
具体例如，该第二功能为移动性管理，则该第三信息集包含的是用于实现移动性管理的信息，以及该第四信息集包含的是用于实现移动性管理的信息。此种情况下，用于实现移动性管理的信息可以是移动信息。具体地，通过配置更多的参考信号资源，如在时域、频域上配置更密集的参考信号、采用更大的配置带宽等，有助于更准确地获取移动信息，即获取该第四信息集包含的用于实现移动性管理的信息。
在一些实施例中，该终端设备分别接收该网络设备发送的第五信息和第六信息；
其中，该第五信息基于该网络设备在第三时长内可用的计算资源确定，且该第五信息用于配置第一上行参考信号资源信息；该第六信息基于该网络设备在第四时长内可用的计算资源确定，且该第六信息用于配置第二上行参考信号资源信息；
其中，该第三时长内可用的计算资源多于该第四时长内可用的计算资源；该第三信息集基于该终端设备通过该第一上行参考信号资源信息发送的上行参考信号确定，该第四信息集基于该终端设备通过该第二上行参考信号资源信息发送的上行参考信号确定。
在一些实施例中，该第五信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。和/或，该第六信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下 行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。
在一些实施例中，该终端设备分别接收该网络设备发送的第七信息和第八信息；
其中，该第七信息基于该网络设备在第三时长内可用的计算资源确定，该第八信息基于该网络设备在第四时长内可用的计算资源确定；该第七信息用于配置第三模型，且该第八信息用于配置第四模型；或者，该第七信息用于配置第三算法，且该第八信息用于配置第四算法；该第三时长内可用的计算资源多于该第四时长内可用的计算资源；
其中，该第三模型和该第四模型为CSI反馈模型，该第三信息集基于该终端设备通过该第三模型反馈的CSI信息确定，该第四信息集基于该终端设备通过该第四模型反馈的CSI信息确定；或者，该第三算法和该第四算法为CSI反馈算法，该第三信息集基于该终端设备通过该第三算法反馈的CSI信息确定，该第四信息集基于该终端设备通过该第四算法反馈的CSI信息确定。
在一些实施例中，该第七信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。和/或，该第八信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。
在一些实施例中，该终端设备分别接收该网络设备发送的第九信息和第十信息；
其中，该第九信息基于该网络设备在第三时长内可用的计算资源确定，且该第九信息用于配置第一定位参考信号资源信息；该第十信息基于该网络设备在第四时长内可用的计算资源确定，且该第十信息用于配置第二定位参考信号资源信息；
其中，该第三时长内可用的计算资源多于该第四时长内可用的计算资源；该第三信息集基于该终端设备通过该第一定位参考信号资源信息获取的定位信息确定，该第四信息集基于该终端设备通过该第二定位参考信号资源信息获取的定位信息确定。
在一些实施例中，该第九信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。和/或，该第十信息可以通过以下之一承载：广播信令、DCI、MAC CE、RRC信令、下行数据信道、下行控制信道、特定的下行人工智能类数据传输信道传输、特定的下行组播信道、下行广播信道。
需要说明的是，本实施例对第三时长的长度不作限定，例如，在该第三时长的长度较短时，可以将该第三时长看作是一个时刻。同理，本实施例对第四时长的长度不作限定，例如，在该第四时长的长度较短时，可以将该第四时长看作是一个时刻。
在一些实施例中，该第三模型基于该网络设备在该第三时长内可用的计算资源确定，和/或，该第四模型基于该网络设备在该第四时长内可用的计算资源确定。换句话说，该网络设备根据该网络设备在该第三时长内可用的计算资源确定该第三模型，和/或，该网络设备根据该网络设备在该第四时长内可用的计算资源确定该第四模型。也即，该网络设备可以基于自身可用的计算资源确定用于实现该第二功能的网络模型，此种情况下，该网络设备处例如配置有可用的计算资源与用于实现该第二功能的网络模型之间的对应关系。
在一些实施例中，该第三算法基于该网络设备在该第三时长内可用的计算资源确定，和/或，该第四算法基于该网络设备在该第四时长内可用的计算资源确定。换句话说，该网络设备根据该网络设备在该第三时长内可用的计算资源确定该第三算法，和/或，该网络设备根据该网络设备在该第四时长内可用的计算资源确定该第四算法。也即，该网络设备可以基于自身可用的计算资源确定用于实现该第二功能的算法，此种情况下，该网络设备处例如配置有可用的计算资源与用于实现该第二功能的算法之间的对应关系。
在一些实施例中，该网络设备可用的计算资源通过以下至少之一确定：该网络设备的计算能力，该网络设备的计算能力等级。
在一些实施例中，该网络设备可用的计算资源通过以下至少之一确定：该网络设备的计算能力，该网络设备的计算能力等级。可选地，该网络设备的计算能力包括固定计算能力和实时计算能力。
需要说明的是，对于计算能力的评价可以用单位时间内所能执行的计算次数来作为指标。
具体地，可以将计算能力进行等级划分，将计算能力分为N类，例如分为高性能、中性能、低性能三个等级。
在一些实施例中，该网络设备可用的计算资源与该网络设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，该网络设备配置，该终端设备配置。
具体例如，终端设备可以通过上行数据信道、上行控制信道、UCI、特定的上行人工智能类数据传输信道传输、特定的上行组播信道、上行广播信道中的一种或多种配置该网络设备可用的计算资源与该网络设备的计算能力之间的对应关系。
在一些实施例中，该网络设备可用的计算资源与该网络设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，该网络设备配置，该终端设备配置。
因此，在本申请实施例中，在网络设备的计算资源不足的情况下，网络设备将用于实现第二功能的网络模型从第三模型切换至第四模型，第四模型的复杂度低于第三模型，输入第四模型的信息数量多于输入第三模型的信息数量，从而，能够在计算资源不足的情况下避免网络模型的性能受损。或者，在网络设备的计算资源不足的情况下，网络设备将用于实现第二功能的算法从第三算法切换至第四算法，第四算法的复杂度低于第三算法，输入第四算法的信息数量多于输入第三算法的信息数量，从而，能够在计算资源不足的情况下避免算法的性能受损。也即，本申请在性能层面寻求的是不损失，而不是追求更复杂模型下的更高性能。
上文结合图3至图11，详细描述了本申请的方法实施例，下文结合图12至图15，详细描述本申请的装置实施例，应理解，装置实施例与方法实施例相互对应，类似的描述可以参照方法实施例。
图12示出了根据本申请实施例的终端设备600的示意性框图。如图12所示，终端设备600包括：处理单元610，其中，
在终端设备的计算资源不足的情况下，该处理单元610用于将用于实现第一功能的网络模型从第一模型切换至第二模型，且该第一模型的输入为第一信息集，该第二模型的输入为第二信息集；或者，
在终端设备的计算资源不足的情况下，该处理单元610用于将用于实现第一功能的算法从第一算法切换至第二算法，且该第一算法的输入为第一信息集，该第二算法的输入为第二信息集；
其中，该第二模型的复杂度低于该第一模型，该第二算法的复杂度低于该第一算法，该第二信息集包括的信息数量大于该第一信息集包括的信息数量，该第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、信道状态信息CSI反馈、移动性管理。
在一些实施例中，该终端设备600还包括：通信单元620；
该通信单元620用于分别接收第一信息和第二信息；其中，该第一信息基于该终端设备在第一时长内可用的计算资源确定，且该第一信息用于配置第一下行参考信号资源信息；该第二信息基于该终端设备在第二时长内可用的计算资源确定，且该第二信息用于配置第二下行参考信号资源信息；该第一时长内可用的计算资源多于该第二时长内可用的计算资源；
该处理单元610还用于根据该第一下行参考信号资源信息获取该第一信息集，以及该终端设备根据该第二下行参考信号资源信息获取该第二信息集。
在一些实施例中，该第一信息还用于配置该第一模型，和/或，该第二信息还用于配置该第二模型；或者，
该第一信息还用于配置该第一算法，和/或，该第二信息还用于配置该第二算法。
在一些实施例中，该处理单元610还用于根据该终端设备在该第一时长内可用的计算资源确定该第一模型，和/或，该处理单元610还用于根据该终端设备在该第二时长内可用的计算资源确定该第二模型；或者，
该处理单元610还用于根据该终端设备在该第一时长内可用的计算资源确定该第一算法，和/或，该处理单元610还用于根据该终端设备在该第二时长内可用的计算资源确定该第二算法。
在一些实施例中，该终端设备可用的计算资源通过以下至少之一确定：该终端设备的计算能力，该终端设备的计算能力等级。
在一些实施例中，该终端设备可用的计算资源与该终端设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，该终端设备配置；和/或，
该终端设备可用的计算资源与该终端设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，该终端设备配置。
在一些实施例中，该终端设备的计算能力包括固定计算能力和实时计算能力。
在一些实施例中，该通信单元620用于分别发送第三信息和第四信息；
其中，该第三信息包括以下至少之一：该终端设备在该第一时长内可用的计算资源，该终端设备在该第一时长内的计算能力，该终端设备在该第一时长内的计算能力等级；
其中，该第四信息包括以下至少之一：该终端设备在该第二时长内可用的计算资源，该终端设备在该第二时长内的计算能力，该终端设备在该第二时长内的计算能力等级。
在一些实施例中，该第三信息为上行控制信息UCI，或者，该第三信息为无线资源控制RRC消息；其中，该第三信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传 输信道，上行组播信道，上行广播信道；和/或，
该第四信息为UCI，或者，该第四信息为RRC消息；其中，该第四信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道。
在一些实施例中，上述通信单元可以是通信接口或收发器，或者是通信芯片或者片上系统的输入输出接口。上述处理单元可以是一个或多个处理器。
应理解，根据本申请实施例的终端设备600可对应于本申请方法实施例中的终端设备，并且终端设备600中的各个单元的上述和其它操作和/或功能分别为了实现图3所示方法200中终端设备的相应流程，为了简洁，在此不再赘述。
图13示出了根据本申请实施例的网络设备700的示意性框图。如图13所示，网络设备700包括：
通信单元710，用于向终端设备发送第一指示信息；
其中，该第一指示信息用于指示该终端设备在计算资源不足的情况下将用于实现第一功能的网络模型从第一模型切换至第二模型，且该第一模型的输入为第一信息集，该第二模型的输入为第二信息集；或者，该第一指示信息用于指示该终端设备在计算资源不足的情况下将用于实现第一功能的算法从第一算法切换至第二算法，且该第一算法的输入为第一信息集，该第二算法的输入为第二信息集；
其中，该第二模型的复杂度低于该第一模型，该第二算法的复杂度低于该第一算法，该第二信息集包括的信息数量大于该第一信息集包括的信息数量，该第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、信道状态信息CSI反馈、移动性管理。
在一些实施例中，该网络设备700还包括：处理单元720；
该处理单元720用于根据该终端设备在第一时长内可用的计算资源确定第一信息，以及该网络设备根据该终端设备在第二时长内可用的计算资源确定第二信息；其中，该第一时长内可用的计算资源多于该第二时长内可用的计算资源；该第一信息用于配置第一下行参考信号资源信息，且该第一下行参考信号资源信息用于该终端设备获取该第一信息集；该第二信息用于配置第二下行参考信号资源信息，且该第二下行参考信号资源信息用于该终端设备获取该第二信息集；
该通信单元710还用于分别向该终端设备发送该第一信息和该第二信息。
在一些实施例中，该第一信息还用于配置该第一模型，和/或，该第二信息还用于配置该第二模型；或者，
该第一信息还用于配置该第一算法，和/或，该第二信息还用于配置该第二算法。
在一些实施例中，该第一模型基于该终端设备在该第一时长内可用的计算资源确定，和/或，该第二模型基于该终端设备在该第二时长内可用的计算资源确定；或者，
该第一算法基于该终端设备在该第一时长内可用的计算资源确定，和/或，该第二算法基于该终端设备在该第二时长内可用的计算资源确定。
在一些实施例中，该终端设备可用的计算资源通过以下至少之一确定：该终端设备的计算能力，该终端设备的计算能力等级。
在一些实施例中，该终端设备可用的计算资源与该终端设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，该终端设备配置；和/或，
该终端设备可用的计算资源与该终端设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，该终端设备配置。
在一些实施例中，该终端设备的计算能力包括固定计算能力和实时计算能力。
在一些实施例中，该通信单元710还用于接收该终端设备分别发送的第三信息和第四信息；
其中，该第三信息包括以下至少之一：该终端设备在该第一时长内可用的计算资源，该终端设备在该第一时长内的计算能力，该终端设备在该第一时长内的计算能力等级；
其中，该第四信息包括以下至少之一：该终端设备在该第二时长内可用的计算资源，该终端设备在该第二时长内的计算能力，该终端设备在该第二时长内的计算能力等级。
在一些实施例中，该第三信息为上行控制信息UCI，或者，该第三信息为无线资源控制RRC消息；其中，该第三信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道；和/或，
该第四信息为UCI，或者，该第四信息为RRC消息；其中，该第四信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道。
在一些实施例中，上述通信单元可以是通信接口或收发器，或者是通信芯片或者片上系统的输入输出接口。上述处理单元可以是一个或多个处理器。
应理解，根据本申请实施例的网络设备700可对应于本申请方法实施例中的网络设备，并且网络设备700中的各个单元的上述和其它操作和/或功能分别为了实现图6所示方法300中网络设备的相 应流程，为了简洁，在此不再赘述。
图14示出了根据本申请实施例的网络设备800的示意性框图。如图14所示，网络设备800包括：处理单元810；
在网络设备的计算资源不足的情况下，该处理单元810用于将用于实现第二功能的网络模型从第三模型切换至第四模型，且该第三模型的输入为第三信息集，该第四模型的输入为第四信息集；或者，
在网络设备的计算资源不足的情况下，该处理单元810用于将用于实现第二功能的算法从第三算法切换至第四算法，且该第三算法的输入为第三信息集，该第四算法的输入为第四信息集；
其中，该第四模型的复杂度低于该第三模型，该第四算法的复杂度低于该第三算法，该第四信息集包括的信息数量大于该第三信息集包括的信息数量，该第二功能包括以下至少之一：上行信道估计、上行波束管理、上行定位、信道状态信息CSI反馈、移动性管理。
在一些实施例中，该网络设备800还包括：通信单元820；
该通信单元820用于分别向终端设备发送第五信息和第六信息；
其中，该第五信息基于该网络设备在第三时长内可用的计算资源确定，且该第五信息用于配置第一上行参考信号资源信息；该第六信息基于该网络设备在第四时长内可用的计算资源确定，且该第六信息用于配置第二上行参考信号资源信息；
其中，该第三时长内可用的计算资源多于该第四时长内可用的计算资源；该第三信息集基于该终端设备通过该第一上行参考信号资源信息发送的上行参考信号确定，该第四信息集基于该终端设备通过该第二上行参考信号资源信息发送的上行参考信号确定。
在一些实施例中，该网络设备800还包括：通信单元820；
该通信单元820用于分别向终端设备发送第七信息和第八信息；
其中，该第七信息基于该网络设备在第三时长内可用的计算资源确定，该第八信息基于该网络设备在第四时长内可用的计算资源确定；该第七信息用于配置第三模型，且该第八信息用于配置第四模型；或者，该第七信息用于配置第三算法，且该第八信息用于配置第四算法；该第三时长内可用的计算资源多于该第四时长内可用的计算资源；
其中，该第三模型和该第四模型为CSI反馈模型，该第三信息集基于该终端设备通过该第三模型反馈的CSI信息确定，该第四信息集基于该终端设备通过该第四模型反馈的CSI信息确定；或者，该第三算法和该第四算法为CSI反馈算法，该第三信息集基于该终端设备通过该第三算法反馈的CSI信息确定，该第四信息集基于该终端设备通过该第四算法反馈的CSI信息确定。
在一些实施例中，该网络设备800还包括：通信单元820；
该通信单元820用于分别向终端设备发送第九信息和第十信息；
其中，该第九信息基于该网络设备在第三时长内可用的计算资源确定，且该第九信息用于配置第一定位参考信号资源信息；该第十信息基于该网络设备在第四时长内可用的计算资源确定，且该第十信息用于配置第二定位参考信号资源信息；
其中，该第三时长内可用的计算资源多于该第四时长内可用的计算资源；该第三信息集基于该终端设备通过该第一定位参考信号资源信息获取的定位信息确定，该第四信息集基于该终端设备通过该第二定位参考信号资源信息获取的定位信息确定。
在一些实施例中，该处理单元810还用于根据该网络设备在该第三时长内可用的计算资源确定该第三模型，和/或，该处理单元810还用于根据该网络设备在该第四时长内可用的计算资源确定该第四模型；或者，
该处理单元810还用于根据该网络设备在该第三时长内可用的计算资源确定该第三算法，和/或，该处理单元810还用于根据该网络设备在该第四时长内可用的计算资源确定该第四算法。
在一些实施例中，该网络设备可用的计算资源通过以下至少之一确定：该网络设备的计算能力，该网络设备的计算能力等级。
在一些实施例中，该网络设备可用的计算资源与该网络设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，该网络设备配置，该终端设备配置；和/或，
该网络设备可用的计算资源与该网络设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，该网络设备配置，该终端设备配置。
在一些实施例中，该网络设备的计算能力包括固定计算能力和实时计算能力。
在一些实施例中，上述通信单元可以是通信接口或收发器，或者是通信芯片或者片上系统的输入输出接口。上述处理单元可以是一个或多个处理器。
应理解，根据本申请实施例的网络设备800可对应于本申请方法实施例中的网络设备，并且网络设备800中的各个单元的上述和其它操作和/或功能分别为了实现图7所示方法400中网络设备的相 应流程，为了简洁，在此不再赘述。
图15示出了根据本申请实施例的终端设备900的示意性框图。如图15所示，终端设备900包括：
通信单元910，用于接收网络设备发送的第二指示信息；
其中，该第二指示信息用于指示该网络设备在计算资源不足的情况下将用于实现第二功能的网络模型从第三模型切换至第四模型，且该第三模型的输入为第三信息集，该第四模型的输入为第四信息集；或者，该第二指示信息用于指示该网络设备在计算资源不足的情况下将用于实现第二功能的算法从第三算法切换至第四算法，且该第三算法的输入为第三信息集，该第四算法的输入为第四信息集；
其中，该第四模型的复杂度低于该第三模型，该第四算法的复杂度低于该第三算法，该第四信息集包括的信息数量大于该第三信息集包括的信息数量，该第二功能包括以下至少之一：上行信道估计、上行波束管理、上行定位、信道状态信息CSI反馈、移动性管理。
在一些实施例中，该通信单元910还用于分别接收该网络设备发送的第五信息和第六信息；
其中，该第五信息基于该网络设备在第三时长内可用的计算资源确定，且该第五信息用于配置第一上行参考信号资源信息；该第六信息基于该网络设备在第四时长内可用的计算资源确定，且该第六信息用于配置第二上行参考信号资源信息；
其中，该第三时长内可用的计算资源多于该第四时长内可用的计算资源；该第三信息集基于该终端设备通过该第一上行参考信号资源信息发送的上行参考信号确定，该第四信息集基于该终端设备通过该第二上行参考信号资源信息发送的上行参考信号确定。
在一些实施例中，该通信单元910还用于分别接收该网络设备发送的第七信息和第八信息；
其中，该第七信息基于该网络设备在第三时长内可用的计算资源确定，该第八信息基于该网络设备在第四时长内可用的计算资源确定；该第七信息用于配置第三模型，且该第八信息用于配置第四模型；或者，该第七信息用于配置第三算法，且该第八信息用于配置第四算法；该第三时长内可用的计算资源多于该第四时长内可用的计算资源；
其中，该第三模型和该第四模型为CSI反馈模型，该第三信息集基于该终端设备通过该第三模型反馈的CSI信息确定，该第四信息集基于该终端设备通过该第四模型反馈的CSI信息确定；或者，该第三算法和该第四算法为CSI反馈算法，该第三信息集基于该终端设备通过该第三算法反馈的CSI信息确定，该第四信息集基于该终端设备通过该第四算法反馈的CSI信息确定。
在一些实施例中，该通信单元910还用于分别接收该网络设备发送的第九信息和第十信息；
其中，该第九信息基于该网络设备在第三时长内可用的计算资源确定，且该第九信息用于配置第一定位参考信号资源信息；该第十信息基于该网络设备在第四时长内可用的计算资源确定，且该第十信息用于配置第二定位参考信号资源信息；
其中，该第三时长内可用的计算资源多于该第四时长内可用的计算资源；该第三信息集基于该终端设备通过该第一定位参考信号资源信息获取的定位信息确定，该第四信息集基于该终端设备通过该第二定位参考信号资源信息获取的定位信息确定。
在一些实施例中，该第三模型基于该网络设备在该第三时长内可用的计算资源确定，和/或，该第四模型基于该网络设备在该第四时长内可用的计算资源确定；或者，
该第三算法基于该网络设备在该第三时长内可用的计算资源确定，和/或，该第四算法基于该网络设备在该第四时长内可用的计算资源确定。
在一些实施例中，该网络设备可用的计算资源通过以下至少之一确定：该网络设备的计算能力，该网络设备的计算能力等级。
在一些实施例中，该网络设备可用的计算资源与该网络设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，该网络设备配置，该终端设备配置；和/或，
该网络设备可用的计算资源与该网络设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，该网络设备配置，该终端设备配置。
在一些实施例中，该网络设备的计算能力包括固定计算能力和实时计算能力。
在一些实施例中，上述通信单元可以是通信接口或收发器，或者是通信芯片或者片上系统的输入输出接口。上述处理单元可以是一个或多个处理器。
应理解，根据本申请实施例的终端设备900可对应于本申请方法实施例中的终端设备，并且终端设备900中的各个单元的上述和其它操作和/或功能分别为了实现图11所示方法500中终端设备的相应流程，为了简洁，在此不再赘述。
图16是本申请实施例提供的一种通信设备1000示意性结构图。图16所示的通信设备1000包括处理器1010，处理器1010可以从存储器中调用并运行计算机程序，以实现本申请实施例中的方法。
在一些实施例中，如图16所示，通信设备1000还可以包括存储器1020。其中，处理器1010可 以从存储器1020中调用并运行计算机程序，以实现本申请实施例中的方法。
其中，存储器1020可以是独立于处理器1010的一个单独的器件，也可以集成在处理器1010中。
在一些实施例中，如图16所示，通信设备1000还可以包括收发器1030，处理器1010可以控制该收发器1030与其他设备进行通信，具体地，可以向其他设备发送信息或数据，或接收其他设备发送的信息或数据。
其中，收发器1030可以包括发射机和接收机。收发器1030还可以进一步包括天线，天线的数量可以为一个或多个。
在一些实施例中，该通信设备1000具体可为本申请实施例的网络设备，并且该通信设备1000可以实现本申请实施例的各个方法中由网络设备实现的相应流程，为了简洁，在此不再赘述。
在一些实施例中，该通信设备1000具体可为本申请实施例的终端设备，并且该通信设备1000可以实现本申请实施例的各个方法中由终端设备实现的相应流程，为了简洁，在此不再赘述。
图17是本申请实施例的装置的示意性结构图。图17所示的装置1100包括处理器1110，处理器1110可以从存储器中调用并运行计算机程序，以实现本申请实施例中的方法。
在一些实施例中，如图17所示，装置1100还可以包括存储器1120。其中，处理器1110可以从存储器1120中调用并运行计算机程序，以实现本申请实施例中的方法。
其中，存储器1120可以是独立于处理器1110的一个单独的器件，也可以集成在处理器1110中。
在一些实施例中，该装置1100还可以包括输入接口1130。其中，处理器1110可以控制该输入接口1130与其他设备或芯片进行通信，具体地，可以获取其他设备或芯片发送的信息或数据。
在一些实施例中，该装置1100还可以包括输出接口1140。其中，处理器1110可以控制该输出接口1140与其他设备或芯片进行通信，具体地，可以向其他设备或芯片输出信息或数据。
在一些实施例中，该装置可应用于本申请实施例中的网络设备，并且该装置可以实现本申请实施例的各个方法中由网络设备实现的相应流程，为了简洁，在此不再赘述。
在一些实施例中，该装置可应用于本申请实施例中的终端设备，并且该装置可以实现本申请实施例的各个方法中由终端设备实现的相应流程，为了简洁，在此不再赘述。
在一些实施例中，本申请实施例提到的装置也可以是芯片。例如可以是系统级芯片，系统芯片，芯片系统或片上系统芯片等。
图18是本申请实施例提供的一种通信系统1200的示意性框图。如图18所示，该通信系统1200包括终端设备1210和网络设备1220。
其中，该终端设备1210可以用于实现上述方法中由终端设备实现的相应的功能，以及该网络设备1220可以用于实现上述方法中由网络设备实现的相应的功能，为了简洁，在此不再赘述。
应理解，本申请实施例的处理器可能是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法实施例的各步骤可以通过处理器中的硬件的集成逻辑电路或者软件形式的指令完成。上述的处理器可以是通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列(Field Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件。可以实现或者执行本申请实施例中的公开的各方法、步骤及逻辑框图。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。结合本申请实施例所公开的方法的步骤可以直接体现为硬件译码处理器执行完成，或者用译码处理器中的硬件及软件模块组合执行完成。软件模块可以位于随机存储器，闪存、只读存储器，可编程只读存储器或者电可擦写可编程存储器、寄存器等本领域成熟的存储介质中。该存储介质位于存储器，处理器读取存储器中的信息，结合其硬件完成上述方法的步骤。
可以理解，本申请实施例中的存储器可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(Random Access Memory，RAM)，其用作外部高速缓存。通过示例性但不是限制性说明，许多形式的RAM可用，例如静态随机存取存储器(Static RAM，SRAM)、动态随机存取存储器(Dynamic RAM，DRAM)、同步动态随机存取存储器(Synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(Double Data Rate SDRAM，DDR SDRAM)、增强型同步动态随机存取存储器(Enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(Synchlink DRAM，SLDRAM)和直接内存总线随机存取存储器(Direct Rambus RAM，DR RAM)。应注意，本文描述的系统和方法的存储器旨在包括但不限于这些和任意其它适合类型的存储器。
应理解，上述存储器为示例性但不是限制性说明，例如，本申请实施例中的存储器还可以是静态 随机存取存储器(static RAM，SRAM)、动态随机存取存储器(dynamic RAM，DRAM)、同步动态随机存取存储器(synchronous DRAM，SDRAM)、双倍数据速率同步动态随机存取存储器(double data rate SDRAM，DDR SDRAM)、增强型同步动态随机存取存储器(enhanced SDRAM，ESDRAM)、同步连接动态随机存取存储器(synch link DRAM，SLDRAM)以及直接内存总线随机存取存储器(Direct Rambus RAM，DR RAM)等等。也就是说，本申请实施例中的存储器旨在包括但不限于这些和任意其它适合类型的存储器。
本申请实施例还提供了一种计算机可读存储介质，用于存储计算机程序。
在一些实施例中，该计算机可读存储介质可应用于本申请实施例中的网络设备，并且该计算机程序使得计算机执行本申请实施例的各个方法中由网络设备实现的相应流程，为了简洁，在此不再赘述。
在一些实施例中，该计算机可读存储介质可应用于本申请实施例中的终端设备，并且该计算机程序使得计算机执行本申请实施例的各个方法中由终端设备实现的相应流程，为了简洁，在此不再赘述。
本申请实施例还提供了一种计算机程序产品，包括计算机程序指令。
在一些实施例中，该计算机程序产品可应用于本申请实施例中的网络设备，并且该计算机程序指令使得计算机执行本申请实施例的各个方法中由网络设备实现的相应流程，为了简洁，在此不再赘述。
在一些实施例中，该计算机程序产品可应用于本申请实施例中的终端设备，并且该计算机程序指令使得计算机执行本申请实施例的各个方法中由终端设备实现的相应流程，为了简洁，在此不再赘述。
本申请实施例还提供了一种计算机程序。
在一些实施例中，该计算机程序可应用于本申请实施例中的网络设备，当该计算机程序在计算机上运行时，使得计算机执行本申请实施例的各个方法中由网络设备实现的相应流程，为了简洁，在此不再赘述。
在一些实施例中，该计算机程序可应用于本申请实施例中的终端设备，当该计算机程序在计算机上运行时，使得计算机执行本申请实施例的各个方法中由终端设备实现的相应流程，为了简洁，在此不再赘述。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。针对这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应所述以权利要求的保护范围为准。

Claims (44)

  1. 一种无线通信的方法，其特征在于，包括：
    在终端设备的计算资源不足的情况下，所述终端设备将用于实现第一功能的网络模型从第一模型切换至第二模型，且所述第一模型的输入为第一信息集，所述第二模型的输入为第二信息集；或者，
    在终端设备的计算资源不足的情况下，所述终端设备将用于实现第一功能的算法从第一算法切换至第二算法，且所述第一算法的输入为第一信息集，所述第二算法的输入为第二信息集；
    其中，所述第二模型的复杂度低于所述第一模型，所述第二算法的复杂度低于所述第一算法，所述第二信息集包括的信息数量大于所述第一信息集包括的信息数量，所述第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、信道状态信息CSI反馈、移动性管理。
  2. 如权利要求1所述的方法，其特征在于，所述方法还包括：
    所述终端设备分别接收第一信息和第二信息；其中，所述第一信息基于所述终端设备在第一时长内可用的计算资源确定，且所述第一信息用于配置第一下行参考信号资源信息；所述第二信息基于所述终端设备在第二时长内可用的计算资源确定，且所述第二信息用于配置第二下行参考信号资源信息；所述第一时长内可用的计算资源多于所述第二时长内可用的计算资源；
    所述终端设备根据所述第一下行参考信号资源信息获取所述第一信息集，以及所述终端设备根据所述第二下行参考信号资源信息获取所述第二信息集。
  3. 如权利要求2所述的方法，其特征在于，
    所述第一信息还用于配置所述第一模型，和/或，所述第二信息还用于配置所述第二模型；或者，
    所述第一信息还用于配置所述第一算法，和/或，所述第二信息还用于配置所述第二算法。
  4. 如权利要求2所述的方法，其特征在于，所述方法还包括：
    所述终端设备根据所述终端设备在所述第一时长内可用的计算资源确定所述第一模型，和/或，所述终端设备根据所述终端设备在所述第二时长内可用的计算资源确定所述第二模型；或者，
    所述终端设备根据所述终端设备在所述第一时长内可用的计算资源确定所述第一算法，和/或，所述终端设备根据所述终端设备在所述第二时长内可用的计算资源确定所述第二算法。
  5. 如权利要求2至4中任一项所述的方法，其特征在于，
    所述终端设备可用的计算资源通过以下至少之一确定：所述终端设备的计算能力，所述终端设备的计算能力等级。
  6. 如权利要求5所述的方法，其特征在于，
    所述终端设备可用的计算资源与所述终端设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，所述终端设备配置；和/或，
    所述终端设备可用的计算资源与所述终端设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，所述终端设备配置。
  7. 如权利要求5或6所述的方法，其特征在于，所述终端设备的计算能力包括固定计算能力和实时计算能力。
  8. 如权利要求2至7中任一项所述的方法，其特征在于，所述方法还包括：
    所述终端设备分别发送第三信息和第四信息；
    其中，所述第三信息包括以下至少之一：所述终端设备在所述第一时长内可用的计算资源，所述终端设备在所述第一时长内的计算能力，所述终端设备在所述第一时长内的计算能力等级；
    其中，所述第四信息包括以下至少之一：所述终端设备在所述第二时长内可用的计算资源，所述终端设备在所述第二时长内的计算能力，所述终端设备在所述第二时长内的计算能力等级。
  9. 如权利要求8所述的方法，其特征在于，
    所述第三信息为上行控制信息UCI，或者，所述第三信息为无线资源控制RRC消息；其中，所述第三信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道；和/或，
    所述第四信息为UCI，或者，所述第四信息为RRC消息；其中，所述第四信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道。
  10. 一种无线通信的方法，其特征在于，包括：
    网络设备向终端设备发送第一指示信息；
    其中，所述第一指示信息用于指示所述终端设备在计算资源不足的情况下将用于实现第一功能的网络模型从第一模型切换至第二模型，且所述第一模型的输入为第一信息集，所述第二模型的输入为第二信息集；或者，所述第一指示信息用于指示所述终端设备在计算资源不足的情况下将用于实现第一功能的算法从第一算法切换至第二算法，且所述第一算法的输入为第一信息集，所述第二算法的输 入为第二信息集；
    其中，所述第二模型的复杂度低于所述第一模型，所述第二算法的复杂度低于所述第一算法，所述第二信息集包括的信息数量大于所述第一信息集包括的信息数量，所述第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、信道状态信息CSI反馈、移动性管理。
  11. 如权利要求10所述的方法，其特征在于，所述方法还包括：
    所述网络设备根据所述终端设备在第一时长内可用的计算资源确定第一信息，以及所述网络设备根据所述终端设备在第二时长内可用的计算资源确定第二信息；其中，所述第一时长内可用的计算资源多于所述第二时长内可用的计算资源；所述第一信息用于配置第一下行参考信号资源信息，且所述第一下行参考信号资源信息用于所述终端设备获取所述第一信息集；所述第二信息用于配置第二下行参考信号资源信息，且所述第二下行参考信号资源信息用于所述终端设备获取所述第二信息集；
    所述网络设备分别向所述终端设备发送所述第一信息和所述第二信息。
  12. 如权利要求11所述的方法，其特征在于，
    所述第一信息还用于配置所述第一模型，和/或，所述第二信息还用于配置所述第二模型；或者，
    所述第一信息还用于配置所述第一算法，和/或，所述第二信息还用于配置所述第二算法。
  13. 如权利要求11所述的方法，其特征在于，
    所述第一模型基于所述终端设备在所述第一时长内可用的计算资源确定，和/或，所述第二模型基于所述终端设备在所述第二时长内可用的计算资源确定；或者，
    所述第一算法基于所述终端设备在所述第一时长内可用的计算资源确定，和/或，所述第二算法基于所述终端设备在所述第二时长内可用的计算资源确定。
  14. 如权利要求11至13中任一项所述的方法，其特征在于，
    所述终端设备可用的计算资源通过以下至少之一确定：所述终端设备的计算能力，所述终端设备的计算能力等级。
  15. 如权利要求14所述的方法，其特征在于，
    所述终端设备可用的计算资源与所述终端设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，所述终端设备配置；和/或，
    所述终端设备可用的计算资源与所述终端设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，网络设备配置，所述终端设备配置。
  16. 如权利要求14或15所述的方法，其特征在于，所述终端设备的计算能力包括固定计算能力和实时计算能力。
  17. 如权利要求11至16中任一项所述的方法，其特征在于，所述方法还包括：
    所述网络设备接收所述终端设备分别发送的第三信息和第四信息；
    其中，所述第三信息包括以下至少之一：所述终端设备在所述第一时长内可用的计算资源，所述终端设备在所述第一时长内的计算能力，所述终端设备在所述第一时长内的计算能力等级；
    其中，所述第四信息包括以下至少之一：所述终端设备在所述第二时长内可用的计算资源，所述终端设备在所述第二时长内的计算能力，所述终端设备在所述第二时长内的计算能力等级。
  18. 如权利要求17所述的方法，其特征在于，
    所述第三信息为上行控制信息UCI，或者，所述第三信息为无线资源控制RRC消息；其中，所述第三信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道；和/或，
    所述第四信息为UCI，或者，所述第四信息为RRC消息；其中，所述第四信息通过以下至少之一承载：上行数据信道，上行控制信道，上行人工智能数据传输信道，上行组播信道，上行广播信道。
  19. 一种无线通信的方法，其特征在于，包括：
    在网络设备的计算资源不足的情况下，所述网络设备将用于实现第二功能的网络模型从第三模型切换至第四模型，且所述第三模型的输入为第三信息集，所述第四模型的输入为第四信息集；或者，
    在网络设备的计算资源不足的情况下，所述网络设备将用于实现第二功能的算法从第三算法切换至第四算法，且所述第三算法的输入为第三信息集，所述第四算法的输入为第四信息集；
    其中，所述第四模型的复杂度低于所述第三模型，所述第四算法的复杂度低于所述第三算法，所述第四信息集包括的信息数量大于所述第三信息集包括的信息数量，所述第二功能包括以下至少之一：上行信道估计、上行波束管理、上行定位、信道状态信息CSI反馈、移动性管理。
  20. 如权利要求19所述的方法，其特征在于，所述方法还包括：
    所述网络设备分别向终端设备发送第五信息和第六信息；
    其中，所述第五信息基于所述网络设备在第三时长内可用的计算资源确定，且所述第五信息用于 配置第一上行参考信号资源信息；所述第六信息基于所述网络设备在第四时长内可用的计算资源确定，且所述第六信息用于配置第二上行参考信号资源信息；
    其中，所述第三时长内可用的计算资源多于所述第四时长内可用的计算资源；所述第三信息集基于所述终端设备通过所述第一上行参考信号资源信息发送的上行参考信号确定，所述第四信息集基于所述终端设备通过所述第二上行参考信号资源信息发送的上行参考信号确定。
  21. 如权利要求19所述的方法，其特征在于，所述方法还包括：
    所述网络设备分别向终端设备发送第七信息和第八信息；
    其中，所述第七信息基于所述网络设备在第三时长内可用的计算资源确定，所述第八信息基于所述网络设备在第四时长内可用的计算资源确定；所述第七信息用于配置第三模型，且所述第八信息用于配置第四模型；或者，所述第七信息用于配置第三算法，且所述第八信息用于配置第四算法；所述第三时长内可用的计算资源多于所述第四时长内可用的计算资源；
    其中，所述第三模型和所述第四模型为CSI反馈模型，所述第三信息集基于所述终端设备通过所述第三模型反馈的CSI信息确定，所述第四信息集基于所述终端设备通过所述第四模型反馈的CSI信息确定；或者，所述第三算法和所述第四算法为CSI反馈算法，所述第三信息集基于所述终端设备通过所述第三算法反馈的CSI信息确定，所述第四信息集基于所述终端设备通过所述第四算法反馈的CSI信息确定。
  22. 如权利要求19所述的方法，其特征在于，所述方法还包括：
    所述网络设备分别向终端设备发送第九信息和第十信息；
    其中，所述第九信息基于所述网络设备在第三时长内可用的计算资源确定，且所述第九信息用于配置第一定位参考信号资源信息；所述第十信息基于所述网络设备在第四时长内可用的计算资源确定，且所述第十信息用于配置第二定位参考信号资源信息；
    其中，所述第三时长内可用的计算资源多于所述第四时长内可用的计算资源；所述第三信息集基于所述终端设备通过所述第一定位参考信号资源信息获取的定位信息确定，所述第四信息集基于所述终端设备通过所述第二定位参考信号资源信息获取的定位信息确定。
  23. 如权利要求20至22中任一项所所述的方法，其特征在于，所述方法还包括：
    所述网络设备根据所述网络设备在所述第三时长内可用的计算资源确定所述第三模型，和/或，所述网络设备根据所述网络设备在所述第四时长内可用的计算资源确定所述第四模型；或者，
    所述网络设备根据所述网络设备在所述第三时长内可用的计算资源确定所述第三算法，和/或，所述网络设备根据所述网络设备在所述第四时长内可用的计算资源确定所述第四算法。
  24. 如权利要求20至23中任一项所述的方法，其特征在于，
    所述网络设备可用的计算资源通过以下至少之一确定：所述网络设备的计算能力，所述网络设备的计算能力等级。
  25. 如权利要求24所述的方法，其特征在于，
    所述网络设备可用的计算资源与所述网络设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，所述网络设备配置，所述终端设备配置；和/或，
    所述网络设备可用的计算资源与所述网络设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，所述网络设备配置，所述终端设备配置。
  26. 如权利要求24或25所述的方法，其特征在于，所述网络设备的计算能力包括固定计算能力和实时计算能力。
  27. 一种无线通信的方法，其特征在于，包括：
    终端设备接收网络设备发送的第二指示信息；
    其中，所述第二指示信息用于指示所述网络设备在计算资源不足的情况下将用于实现第二功能的网络模型从第三模型切换至第四模型，且所述第三模型的输入为第三信息集，所述第四模型的输入为第四信息集；或者，所述第二指示信息用于指示所述网络设备在计算资源不足的情况下将用于实现第二功能的算法从第三算法切换至第四算法，且所述第三算法的输入为第三信息集，所述第四算法的输入为第四信息集；
    其中，所述第四模型的复杂度低于所述第三模型，所述第四算法的复杂度低于所述第三算法，所述第四信息集包括的信息数量大于所述第三信息集包括的信息数量，所述第二功能包括以下至少之一：上行信道估计、上行波束管理、上行定位、信道状态信息CSI反馈、移动性管理。
  28. 如权利要求27所述的方法，其特征在于，所述方法还包括：
    所述终端设备分别接收所述网络设备发送的第五信息和第六信息；
    其中，所述第五信息基于所述网络设备在第三时长内可用的计算资源确定，且所述第五信息用于 配置第一上行参考信号资源信息；所述第六信息基于所述网络设备在第四时长内可用的计算资源确定，且所述第六信息用于配置第二上行参考信号资源信息；
    其中，所述第三时长内可用的计算资源多于所述第四时长内可用的计算资源；所述第三信息集基于所述终端设备通过所述第一上行参考信号资源信息发送的上行参考信号确定，所述第四信息集基于所述终端设备通过所述第二上行参考信号资源信息发送的上行参考信号确定。
  29. 如权利要求27所述的方法，其特征在于，所述方法还包括：
    所述终端设备分别接收所述网络设备发送的第七信息和第八信息；
    其中，所述第七信息基于所述网络设备在第三时长内可用的计算资源确定，所述第八信息基于所述网络设备在第四时长内可用的计算资源确定；所述第七信息用于配置第三模型，且所述第八信息用于配置第四模型；或者，所述第七信息用于配置第三算法，且所述第八信息用于配置第四算法；所述第三时长内可用的计算资源多于所述第四时长内可用的计算资源；
    其中，所述第三模型和所述第四模型为CSI反馈模型，所述第三信息集基于所述终端设备通过所述第三模型反馈的CSI信息确定，所述第四信息集基于所述终端设备通过所述第四模型反馈的CSI信息确定；或者，所述第三算法和所述第四算法为CSI反馈算法，所述第三信息集基于所述终端设备通过所述第三算法反馈的CSI信息确定，所述第四信息集基于所述终端设备通过所述第四算法反馈的CSI信息确定。
  30. 如权利要求27所述的方法，其特征在于，所述方法还包括：
    所述终端设备分别接收所述网络设备发送的第九信息和第十信息；
    其中，所述第九信息基于所述网络设备在第三时长内可用的计算资源确定，且所述第九信息用于配置第一定位参考信号资源信息；所述第十信息基于所述网络设备在第四时长内可用的计算资源确定，且所述第十信息用于配置第二定位参考信号资源信息；
    其中，所述第三时长内可用的计算资源多于所述第四时长内可用的计算资源；所述第三信息集基于所述终端设备通过所述第一定位参考信号资源信息获取的定位信息确定，所述第四信息集基于所述终端设备通过所述第二定位参考信号资源信息获取的定位信息确定。
  31. 如权利要求28至30中任一项所所述的方法，其特征在于，
    所述第三模型基于所述网络设备在所述第三时长内可用的计算资源确定，和/或，所述第四模型基于所述网络设备在所述第四时长内可用的计算资源确定；或者，
    所述第三算法基于所述网络设备在所述第三时长内可用的计算资源确定，和/或，所述第四算法基于所述网络设备在所述第四时长内可用的计算资源确定。
  32. 如权利要求28至31中任一项所述的方法，其特征在于，
    所述网络设备可用的计算资源通过以下至少之一确定：所述网络设备的计算能力，所述网络设备的计算能力等级。
  33. 如权利要求32所述的方法，其特征在于，
    所述网络设备可用的计算资源与所述网络设备的计算能力之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，所述网络设备配置，所述终端设备配置；和/或，
    所述网络设备可用的计算资源与所述网络设备的计算能力等级之间的对应关系通过以下至少之一确定：协议约定，预定义，运营商预配置，所述网络设备配置，所述终端设备配置。
  34. 如权利要求32或33所述的方法，其特征在于，所述网络设备的计算能力包括固定计算能力和实时计算能力。
  35. 一种终端设备，其特征在于，包括：处理单元，其中，
    在终端设备的计算资源不足的情况下，所述处理单元用于将用于实现第一功能的网络模型从第一模型切换至第二模型，且所述第一模型的输入为第一信息集，所述第二模型的输入为第二信息集；
    或者，
    在终端设备的计算资源不足的情况下，所述处理单元用于将用于实现第一功能的算法从第一算法切换至第二算法，且所述第一算法的输入为第一信息集，所述第二算法的输入为第二信息集；
    其中，所述第二模型的复杂度低于所述第一模型，所述第二算法的复杂度低于所述第一算法，所述第二信息集包括的信息数量大于所述第一信息集包括的信息数量，所述第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、信道状态信息CSI反馈、移动性管理。
  36. 一种网络设备，其特征在于，包括：
    通信单元用于向终端设备发送第一指示信息；
    其中，所述第一指示信息用于指示所述终端设备在计算资源不足的情况下将用于实现第一功能的网络模型从第一模型切换至第二模型，且所述第一模型的输入为第一信息集，所述第二模型的输入为 第二信息集；或者，所述第一指示信息用于指示所述终端设备在计算资源不足的情况下将用于实现第一功能的算法从第一算法切换至第二算法，且所述第一算法的输入为第一信息集，所述第二算法的输入为第二信息集；
    其中，所述第二模型的复杂度低于所述第一模型，所述第二算法的复杂度低于所述第一算法，所述第二信息集包括的信息数量大于所述第一信息集包括的信息数量，所述第一功能包括以下至少之一：下行信道估计、下行波束管理、下行定位、信道状态信息CSI反馈、移动性管理。
  37. 一种网络设备，其特征在于，包括：处理单元，其中，
    在网络设备的计算资源不足的情况下，所述处理单元用于将用于实现第二功能的网络模型从第三模型切换至第四模型，且所述第三模型的输入为第三信息集，所述第四模型的输入为第四信息集；
    或者，
    在网络设备的计算资源不足的情况下，所述处理单元用于将用于实现第二功能的算法从第三算法切换至第四算法，且所述第三算法的输入为第三信息集，所述第四算法的输入为第四信息集；
    其中，所述第四模型的复杂度低于所述第三模型，所述第四算法的复杂度低于所述第三算法，所述第四信息集包括的信息数量大于所述第三信息集包括的信息数量，所述第二功能包括以下至少之一：上行信道估计、上行波束管理、上行定位、信道状态信息CSI反馈、移动性管理。
  38. 一种终端设备，其特征在于，包括：
    通信单元，用于接收网络设备发送的第二指示信息；
    其中，所述第二指示信息用于指示所述网络设备在计算资源不足的情况下将用于实现第二功能的网络模型从第三模型切换至第四模型，且所述第三模型的输入为第三信息集，所述第四模型的输入为第四信息集；或者，所述第二指示信息用于指示所述网络设备在计算资源不足的情况下将用于实现第二功能的算法从第三算法切换至第四算法，且所述第三算法的输入为第三信息集，所述第四算法的输入为第四信息集；
    其中，所述第四模型的复杂度低于所述第三模型，所述第四算法的复杂度低于所述第三算法，所述第四信息集包括的信息数量大于所述第三信息集包括的信息数量，所述第二功能包括以下至少之一：上行信道估计、上行波束管理、上行定位、信道状态信息CSI反馈、移动性管理。
  39. 一种终端设备，其特征在于，包括：处理器和存储器，该存储器用于存储计算机程序，所述处理器用于调用并运行所述存储器中存储的计算机程序，使得所述终端设备执行如权利要求1至9中任一项所述的方法，或者，使得所述终端设备执行如权利要求27至34中任一项所述的方法。
  40. 一种网络设备，其特征在于，包括：处理器和存储器，该存储器用于存储计算机程序，所述处理器用于调用并运行所述存储器中存储的计算机程序，使得所述网络设备执行如权利要求10至18中任一项所述的方法，或者，使得所述网络设备执行如权利要求19至26中任一项所述的方法。
  41. 一种芯片，其特征在于，包括：处理器，用于从存储器中调用并运行计算机程序，使得安装有所述芯片的设备执行如权利要求1至9中任一项所述的方法，或者，执行如权利要求11至18中任一项所述的方法，或者，执行如权利要求19至26中任一项所述的方法，或者，执行如权利要求27至34中任一项所述的方法。
  42. 一种计算机可读存储介质，其特征在于，用于存储计算机程序，所述计算机程序使得计算机执行如权利要求1至9中任一项所述的方法，或者，执行如权利要求11至18中任一项所述的方法，或者，执行如权利要求19至26中任一项所述的方法，或者，执行如权利要求27至34中任一项所述的方法。
  43. 一种计算机程序产品，其特征在于，包括计算机程序指令，该计算机程序指令使得计算机执行如权利要求1至9中任一项所述的方法，或者，执行如权利要求11至18中任一项所述的方法，或者，执行如权利要求19至26中任一项所述的方法，或者，执行如权利要求27至34中任一项所述的方法。
  44. 一种计算机程序，其特征在于，所述计算机程序使得计算机执行如权利要求1至9中任一项所述的方法，或者，执行如权利要求11至18中任一项所述的方法，或者，执行如权利要求19至26中任一项所述的方法，或者，执行如权利要求27至34中任一项所述的方法。
PCT/CN2022/072962 2022-01-20 2022-01-20 无线通信的方法、终端设备和网络设备 Ceased WO2023137660A1 (zh)

Priority Applications (5)

Application Number Priority Date Filing Date Title
EP22921105.7A EP4468764A4 (en) 2022-01-20 2022-01-20 WIRELESS COMMUNICATION METHOD, TERMINAL DEVICE AND NETWORK DEVICE
PCT/CN2022/072962 WO2023137660A1 (zh) 2022-01-20 2022-01-20 无线通信的方法、终端设备和网络设备
MX2024008937A MX2024008937A (es) 2022-01-20 2022-01-20 Metodo de comunicacion inalambrica, dispositivo terminal y dispositivo de red.
CN202280088970.4A CN118556412A (zh) 2022-01-20 2022-01-20 无线通信的方法、终端设备和网络设备
US18/775,555 US20240373208A1 (en) 2022-01-20 2024-07-17 Wireless communication method, terminal device, and network device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2022/072962 WO2023137660A1 (zh) 2022-01-20 2022-01-20 无线通信的方法、终端设备和网络设备

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US18/775,555 Continuation US20240373208A1 (en) 2022-01-20 2024-07-17 Wireless communication method, terminal device, and network device

Publications (1)

Publication Number Publication Date
WO2023137660A1 true WO2023137660A1 (zh) 2023-07-27

Family

ID=87347648

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/072962 Ceased WO2023137660A1 (zh) 2022-01-20 2022-01-20 无线通信的方法、终端设备和网络设备

Country Status (5)

Country Link
US (1) US20240373208A1 (zh)
EP (1) EP4468764A4 (zh)
CN (1) CN118556412A (zh)
MX (1) MX2024008937A (zh)
WO (1) WO2023137660A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN121771028A (zh) * 2024-09-29 2026-03-31 华为技术有限公司 通信方法和通信装置

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012010283A1 (en) * 2010-07-22 2012-01-26 Alcatel Lucent Telecommunications network node and methods
CN110399211A (zh) * 2018-04-24 2019-11-01 北京中科寒武纪科技有限公司 机器学习的分配系统、方法及装置、计算机设备
WO2021142637A1 (zh) * 2020-01-14 2021-07-22 Oppo广东移动通信有限公司 人工智能操作处理方法、装置、系统、终端及网络设备
WO2022000188A1 (zh) * 2020-06-29 2022-01-06 北京小米移动软件有限公司 用户设备辅助信息的上报方法及装置、用户设备、存储介质

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20230115368A1 (en) * 2020-04-23 2023-04-13 Telefonaktiebolaget Lm Ericsson (Publ) Improving Random Access Based on Artificial Intelligence / Machine Learning (AI/ML)

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012010283A1 (en) * 2010-07-22 2012-01-26 Alcatel Lucent Telecommunications network node and methods
CN110399211A (zh) * 2018-04-24 2019-11-01 北京中科寒武纪科技有限公司 机器学习的分配系统、方法及装置、计算机设备
WO2021142637A1 (zh) * 2020-01-14 2021-07-22 Oppo广东移动通信有限公司 人工智能操作处理方法、装置、系统、终端及网络设备
WO2022000188A1 (zh) * 2020-06-29 2022-01-06 北京小米移动软件有限公司 用户设备辅助信息的上报方法及装置、用户设备、存储介质

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
OPPO: "Motivation of study on radio enhancement based on AI", 3GPP DRAFT; RP-210256, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. TSG RAN, no. Electronic Meeting; 20210322 - 20210326, 15 March 2021 (2021-03-15), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France , XP051985618 *
See also references of EP4468764A4 *

Also Published As

Publication number Publication date
US20240373208A1 (en) 2024-11-07
EP4468764A1 (en) 2024-11-27
EP4468764A4 (en) 2025-11-26
MX2024008937A (es) 2024-07-29
CN118556412A (zh) 2024-08-27

Similar Documents

Publication Publication Date Title
CN113645657B (zh) 无线通信方法、终端设备和网络设备
WO2022174726A1 (zh) 无线通信的方法及终端设备
US20230224763A1 (en) Wireless communication method, terminal device, and network device
WO2020073257A1 (zh) 无线通信方法和终端设备
US11924893B2 (en) Method for establishing connection, and terminal device
WO2023070684A1 (zh) 无线通信的方法和设备
US20240373208A1 (en) Wireless communication method, terminal device, and network device
WO2022165810A1 (zh) 测量方法、终端设备和网络设备
CN116210326A (zh) 选择初始带宽部分bwp的方法、终端设备和网络设备
US20250310787A1 (en) Wireless communication method, terminal device, and network device
US20250212026A1 (en) Model monitoring methods, and devices
WO2022126640A1 (zh) 干扰规避方法和基站
US20230239780A1 (en) Wireless communication method, terminal device, and network device
WO2024087019A1 (zh) 无线通信的方法及设备
WO2024138361A1 (zh) 无线通信的方法、终端设备和网络设备
WO2023159351A1 (zh) 无线通信的方法及设备
WO2023065155A1 (zh) 无线通信的方法、终端设备、接入网设备和核心网设备
WO2023092456A1 (zh) 无线通信的方法、终端设备和网络设备
CN117561748A (zh) 接入方法、终端设备、统一数据管理网元和第一网元
WO2023283776A1 (zh) 功率控制的方法、终端设备和网络设备
CN116889096A (zh) 无线通信的方法、终端设备和网络设备
WO2022067758A1 (zh) 无线通信的方法、终端设备和网络设备
EP4550709A1 (en) Communication method and device
WO2023197260A1 (zh) 无线通信的方法、终端设备和网络设备
WO2023150998A1 (zh) 无线通信的方法、终端设备和网络设备

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22921105

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 202280088970.4

Country of ref document: CN

Ref document number: MX/A/2024/008937

Country of ref document: MX

WWE Wipo information: entry into national phase

Ref document number: 2022921105

Country of ref document: EP

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 2022921105

Country of ref document: EP

Effective date: 20240820