WO2022236840A1 - 配置方法、分配方法、装置、设备及存储介质 - Google Patents

配置方法、分配方法、装置、设备及存储介质 Download PDF

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Publication number
WO2022236840A1
WO2022236840A1 PCT/CN2021/093964 CN2021093964W WO2022236840A1 WO 2022236840 A1 WO2022236840 A1 WO 2022236840A1 CN 2021093964 W CN2021093964 W CN 2021093964W WO 2022236840 A1 WO2022236840 A1 WO 2022236840A1
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Prior art keywords
terminal device
service
information
domain
identifier
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Ceased
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PCT/CN2021/093964
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English (en)
French (fr)
Inventor
许阳
杨宁
石聪
陈景然
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Application filed by Guangdong Oppo Mobile Telecommunications Corp Ltd filed Critical Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority to PCT/CN2021/093964 priority Critical patent/WO2022236840A1/zh
Priority to CN202180097470.2A priority patent/CN117242804A/zh
Priority to EP21941409.1A priority patent/EP4340420A4/en
Publication of WO2022236840A1 publication Critical patent/WO2022236840A1/zh
Priority to US18/508,447 priority patent/US20240089930A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08Configuration management of networks or network elements
    • H04L41/0803Configuration setting
    • H04L41/0813Configuration setting characterised by the conditions triggering a change of settings
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • H04W72/044Wireless resource allocation based on the type of the allocated resource
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/16Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/5041Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
    • H04L41/5054Automatic deployment of services triggered by the service manager, e.g. service implementation by automatic configuration of network components
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/50Allocation or scheduling criteria for wireless resources
    • H04W72/51Allocation or scheduling criteria for wireless resources based on terminal or device properties
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning

Definitions

  • the embodiments of the present application relate to the field of communication technologies, and in particular to a configuration method, distribution method, device, device, and storage medium.
  • 3GPP 3rd Generation Partnership Project, 3rd Generation Partnership Project
  • 3rd Generation Partnership Project considers adopting a multi-level AI (Artificial Intelligence, artificial intelligence)/ML (Machine Learning, machine learning) approach, that is, terminal equipment It divides the work with the network equipment on the network side for big data analysis.
  • AI Artificial Intelligence, artificial intelligence
  • ML Machine Learning, machine learning
  • a typical way of division of labor is: the terminal device performs partial operations on the data to form intermediate data, and then sends the intermediate data to the network device through the mobile network for further calculation.
  • the devices involved in big data analysis include multiple terminal devices, there are many options for the division of labor in big data analysis, including at least three options: centralized scenario, fully distributed scenario, and hybrid scenario.
  • the centralized scenario refers to: after all terminal devices report the data required for big data analysis to the network device, the network device performs the analysis work of big data analysis;
  • the fully distributed scenario refers to: different terminal devices are not suitable for collecting The data is analyzed locally;
  • the hybrid scenario refers to: after the terminal device performs part of the analysis on the collected data locally, the analysis result is sent to the network device, and the network device performs further calculation and analysis.
  • terminal devices may divide labor to obtain different AI/ML models and computing tasks according to the needs of big data analysis, and interact with network devices for computing results within the required time. Therefore, further discussion and research are needed on how to divide the labor of big data analysis for terminal devices and the resources required by terminal devices to complete big data analysis.
  • Embodiments of the present application provide a configuration method, an allocation method, a device, a device, and a storage medium. Described technical scheme is as follows:
  • the embodiment of the present application provides a configuration method, which is applied to a terminal device, and the method includes:
  • Configuration information from a network device, where the configuration information includes at least one of the following: an identifier of a first AI service, and first domain information corresponding to the first AI service;
  • the first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • an embodiment of the present application provides a configuration method, which is applied to a network device, and the method includes:
  • the configuration information includes at least one of the following: an identifier of the first AI service, and first domain information corresponding to the first AI service;
  • the first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • an embodiment of the present application provides an allocation method, which is applied to a terminal device, and the method includes:
  • Allocation information is received from the network device.
  • an embodiment of the present application provides an allocation method, which is applied to a network device, and the method includes:
  • an embodiment of the present application provides a configuration device, which is set in a terminal device, and the device includes:
  • a configuration information receiving module configured to receive configuration information from a network device, where the configuration information includes at least one of the following: an identifier of a first AI service, and first domain information corresponding to the first AI service;
  • the first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • the embodiment of the present application provides a configuration device, which is set in a network device, and the device includes:
  • a configuration information sending module configured to send configuration information to a terminal device;
  • the configuration information includes at least one of the following: an identifier of a first AI service, and first domain information corresponding to the first AI service;
  • the first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • an embodiment of the present application provides a distribution device, which is set in a terminal device, and the device includes:
  • a first request sending module configured to send a first request to the network device, where the first request is used to request to join the first domain for executing the third AI service;
  • An allocation information receiving module configured to receive allocation information from the network device.
  • an embodiment of the present application provides a distribution device, which is set in a network device, and the device includes:
  • a first request receiving module configured to receive a first request from a terminal device, where the first request is used to request to join a first domain for executing a third AI service;
  • An allocation information sending module configured to send allocation information to the terminal device.
  • an embodiment of the present application provides a terminal device, where the terminal device includes: a processor, and a transceiver connected to the processor; wherein:
  • the transceiver is configured to receive configuration information from a network device, where the configuration information includes at least one of the following: an identifier of a first AI service, and first domain information corresponding to the first AI service;
  • the first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • an embodiment of the present application provides a network device, where the network device includes: a processor, and a transceiver connected to the processor; wherein:
  • the transceiver is configured to send configuration information to a terminal device;
  • the configuration information includes at least one of the following: an identifier of a first AI service, and first domain information corresponding to the first AI service;
  • the first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • an embodiment of the present application provides a terminal device, where the terminal device includes: a processor, and a transceiver connected to the processor; wherein:
  • the transceiver is configured to send a first request to a network device, where the first request is used to request to join a first domain for executing a third AI service;
  • the transceiver is configured to receive allocation information from the network device.
  • an embodiment of the present application provides a network device, where the network device includes: a processor, and a transceiver connected to the processor; wherein:
  • the transceiver is configured to receive a first request from a terminal device, where the first request is used to request to join a first domain for executing a third AI service;
  • the transceiver is configured to send allocation information to the terminal device.
  • an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored in the storage medium, and the computer program is used to be executed by a processor of the terminal device, so as to implement the above-mentioned terminal device side configuration method.
  • an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored in the storage medium, and the computer program is used to be executed by a processor of a network device, so as to implement the above-mentioned network device side configuration method.
  • an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored in the storage medium, and the computer program is used to be executed by a processor of the terminal device, so as to implement the above-mentioned terminal device side Allocation method.
  • an embodiment of the present application provides a computer-readable storage medium, where a computer program is stored in the storage medium, and the computer program is used to be executed by a processor of a network device, so as to implement the above-mentioned network device side Allocation method.
  • the embodiment of the present application provides a chip, the chip includes a programmable logic circuit and/or program instructions, and when the chip is run on the terminal device, it is used to implement the above-mentioned configuration method on the terminal device side .
  • an embodiment of the present application provides a chip, the chip includes a programmable logic circuit and/or program instructions, and when the chip runs on a network device, it is used to implement the above-mentioned configuration method on the network device side .
  • an embodiment of the present application provides a chip, the chip includes a programmable logic circuit and/or program instructions, and when the chip is run on a terminal device, it is used to implement the above-mentioned distribution method on the terminal device side .
  • an embodiment of the present application provides a chip, the chip includes a programmable logic circuit and/or program instructions, and when the chip is run on a network device, it is used to implement the above-mentioned allocation method on the network device side .
  • an embodiment of the present application provides a computer program product, which is used to implement the above configuration method on the terminal device side when the computer program product runs on the terminal device.
  • an embodiment of the present application provides a computer program product, which is used to implement the above configuration method on the network device side when the computer program product runs on the network device.
  • an embodiment of the present application provides a computer program product, which is used to implement the above-mentioned distribution method on the terminal device side when the computer program product is run on the terminal device.
  • an embodiment of the present application provides a computer program product, which is used to implement the above-mentioned distribution method on the network device side when the computer program product runs on the network device.
  • Configure information related to the first domain of a specific service for the terminal device through the network device so that the terminal device subsequently initiates the process of joining the first domain of the specific service, and provides a basis for the terminal device to participate in data analysis corresponding to the specific service.
  • the network device allocates various resources required for the terminal device to participate in the calculation of the specific service, so as to facilitate the terminal device to perform the specific service.
  • Fig. 1 is a schematic diagram of the division of labor of big data analysis provided by an embodiment of the present application
  • FIG. 2 is a schematic diagram of a division of labor scene for big data analysis provided by an embodiment of the present application
  • FIG. 3 is a schematic diagram of a division of labor scene for big data analysis provided by another embodiment of the present application.
  • Fig. 4 is a schematic diagram of a division of labor scene for big data analysis provided by another embodiment of the present application.
  • Fig. 5 is a schematic diagram of a communication system provided by an embodiment of the present application.
  • FIG. 6 is a flowchart of a configuration method provided by an embodiment of the present application.
  • FIG. 7 is a flowchart of a configuration method provided by another embodiment of the present application.
  • Fig. 8 is a flowchart of an allocation method provided by an embodiment of the present application.
  • FIG. 9 is a schematic diagram of the content of allocation information provided by an embodiment of the present application.
  • Fig. 10 is a flowchart of an allocation method provided by another embodiment of the present application.
  • Fig. 11 is a block diagram of a configuration device provided by an embodiment of the present application.
  • Fig. 12 is a block diagram of a configuration device provided by another embodiment of the present application.
  • Fig. 13 is a block diagram of a configuration device provided in another embodiment of the present application.
  • Fig. 14 is a block diagram of a configuration device provided by another embodiment of the present application.
  • Fig. 15 is a block diagram of a distribution device provided by an embodiment of the present application.
  • Fig. 16 is a block diagram of a distribution device provided by another embodiment of the present application.
  • Fig. 17 is a block diagram of a distribution device provided by another embodiment of the present application.
  • Fig. 18 is a block diagram of a distribution device provided by another embodiment of the present application.
  • FIG. 19 is a structural block diagram of a terminal device provided by an embodiment of the present application.
  • Fig. 20 is a structural block diagram of a network device provided by an embodiment of the present application.
  • the network architecture and business scenarios described in the embodiments of the present application are for more clearly illustrating the technical solutions of the embodiments of the present application, and do not constitute limitations on the technical solutions provided by the embodiments of the present application.
  • the evolution of the technology and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.
  • 3GPP considers adopting a multi-level AI/ML method, that is, terminal equipment and network equipment on the network side divide the work for big data analysis.
  • a typical division of labor is: the terminal device 110 performs partial operations on the data to form intermediate data, and then sends the intermediate data to the network device 120 through the mobile network for further calculation.
  • the devices involved in big data analysis include multiple terminal devices, there are many options for the division of labor in big data analysis, including at least three options: centralized scenario, fully distributed scenario, and hybrid scenario. Wherein, as shown in FIG.
  • the centralized scenario refers to: after all terminal devices 210 report the data required for big data analysis to network device 220, the analysis work of big data analysis is performed by network device 220; As shown in Figure 2(b), the fully distributed scenario means that different terminal devices 210 analyze the collected data locally; as shown in Figure 2(c), the hybrid scenario means that the terminal device 210 analyzes the collected After the data is partially analyzed locally, the analysis result is sent to the network device 220 for further calculation and analysis.
  • the big data analysis can be performed by the terminal device 310 , the edge server 320 and the cloud server 330 , or by two of them, or by one of them alone.
  • terminal devices may divide labor to obtain different AI/ML models and computing tasks according to the needs of big data analysis, and interact with network devices for computing results within the required time.
  • the actual execution behavior needs to consider at least one of the following issues: data limitations, reasoning result limitations, resource allocation limitations, and model effectiveness limitations.
  • Resource allocation limitations that is, how to divide resources such as communication, storage, and computing power to support different AI services?
  • the AI behavior in the 6G (6-Generation, 6th generation mobile communication) network is limited and closed.
  • the first domain is introduced in the embodiment of this application for division. That is to say, the above-mentioned limitations and limitations can be defined and described in a specific first domain.
  • the technical solutions provided by this application are introduced and illustrated through several embodiments.
  • the first domain is a resource division barrier, which includes at least one of the following: at least one service node for executing a specific AI service, and resources corresponding to each service node.
  • the first domain performs overall management on the resources corresponding to each service node, and the resources corresponding to the service nodes include at least one of the following: storage and/or used models, data resources, computing resources, and communication resources.
  • the resources included in the first domain are open to use by each service node in the first domain and/or a specific domain.
  • the first domain can provide optimization strategies for precise model matching, network resource scheduling, data sharing, etc.
  • the first domain can be divided by business type, and on this basis, it can be further subdivided according to dimensions such as location, user, and third-party customization, and new service nodes can be added to the corresponding first domain according to the division principle.
  • the mobility management at a specific location can be divided into a first domain, and the first domain is responsible for performing the best mobility management optimization for all terminal devices at the location.
  • four first domains 410 are divided according to a certain division principle, and different service nodes 420 may divide a part of resources to support one first domain 410 .
  • a first domain can be established in location 1, and the first domain is only used to perform automatic driving business in location 1. For this reason, the first domain One domain needs to train the best AI model for terminal use, and at the same time, it needs to provide corresponding AI services locally.
  • the first domain will continuously optimize its own model by collecting the autopilot interruption information under position 1, including the usage of the current AI model, terminal feedback, model training (such as federated learning), and so on. Continuously improve the experience of autonomous driving.
  • this first domain is most familiar with the autonomous driving business in this position 1, including the formation of a mature AI model, which can configure the best work tasks according to the characteristics and real-time conditions of different terminal devices entering position 1 (such as Computing tasks of all or part of the AI model), and configure the required communication resources and computing resources for different terminal devices.
  • a terminal device When a terminal device needs to perform automatic driving at location 1, it needs to join the first domain under this location, so that the first domain can issue the most suitable AI model and work tasks for the user according to the characteristics and objective conditions of the user, and Allocate the most suitable service node and establish the required communication connection.
  • the terminal device can also participate in model training based on federated learning under the organization of the first domain.
  • a first domain can be used to execute a specific service under a specific condition.
  • terminal devices often have different AI service requirements; on the other hand, the first domain is the concept of resource planning on the network side, and terminal devices cannot directly understand the first domain. Therefore, the present application implements the goal of different terminal devices joining the first domain on demand through the following several embodiments. In the following, these several embodiments will be described.
  • first domain mentioned in the embodiments of this application can also be replaced by other names, such as "AI domain”, “resource domain”, “business domain”, etc., for the convenience of description, this application
  • at least one service node used for overall management for executing a specific AI service is collectively referred to as a "first domain”. It should be understood that this does not constitute a limitation to the present application.
  • FIG. 5 shows a schematic diagram of a communication system provided by an embodiment of the present application.
  • the communication system may include: a terminal device 510 and a network device 520 .
  • terminal devices 510 There are generally multiple terminal devices 510, and one or more terminal devices 510 may be distributed in a cell managed by each network device 520.
  • the terminal device 510 may include various handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, as well as various forms of user equipment (User Equipment, UE), mobile station (Mobile Station, MS) and so on.
  • UE User Equipment
  • MS mobile station
  • terminal devices are collectively referred to as terminal devices.
  • the network device 520 is a device deployed in an access network to provide a wireless communication function for the terminal device 510 .
  • the network device 520 may include various forms of macro base stations, micro base stations, relay stations, access points, and so on. In systems using different wireless access technologies, the names of devices with network device functions may be different. For example, in 5G (5th-Generation, fifth-generation mobile communication technology) NR systems, it is called gNodeB or gNB .
  • the term "network equipment" may change as communications technology evolves.
  • the foregoing devices that provide the wireless communication function for the terminal device 510 are collectively referred to as network devices.
  • the network device 520 and the terminal device 510 communicate with each other through some air interface technology, such as a Uu interface.
  • the "5G NR system” in the embodiment of the present application may also be called a 5G system or an NR system, but those skilled in the art can understand its meaning. It should be understood that the technical solutions of the embodiments of the present application can be applied to various communication systems, such as: 6G system, long term evolution (Long Term Evolution, LTE) system, LTE frequency division duplex (Frequency Division Duplex, FDD) system, LTE time division Duplex (Time Division Duplex, TDD) system, Advanced Long Term Evolution (LTE-A) system, NR system, evolution system of NR system, LTE (LTE-based access to Unlicensed spectrum , LTE-U) system, NR-U (New Radio-Unlicensed, NR on unlicensed frequency band) system, wireless local area network (Wireless Local Area Networks, WLAN), wireless fidelity (Wireless Fidelity, WiFi), next generation communication system or other communication systems, etc.
  • 6G system long term evolution (Long Term Evolution, LTE) system, L
  • FIG. 6 shows a flowchart of a configuration method provided by an embodiment of the present application, and the method can be applied to the communication system shown in FIG. 5 above.
  • the method may include at least some of the following steps.
  • Step 610 the network device sends configuration information to the terminal device, and the configuration information includes at least one of the following: the identifier of the first AI service, the first domain information corresponding to the first AI service; wherein, the first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • the configuration information is used to configure information related to the first domain for executing the first AI service for the terminal device.
  • the first AI service includes at least one of the following: an automatic driving service, an AR (Augmented Reality, augmented reality) service, and a VR (Virtual Reality, virtual reality) service.
  • the first AI service may be a relatively coarse-grained service or a service specific to a third party, which is not limited in this embodiment of the present application.
  • the first domain for executing the first AI service includes at least one of the following: at least one service node for executing the first AI service, and resources corresponding to each service node.
  • the resources corresponding to the service node include at least one of the following: stored and/or used models, data resources, computing resources, and communication resources.
  • stored and/or used models For other descriptions of the first domain, please refer to the above-mentioned embodiments, and details will not be repeated here.
  • the configuration information includes at least one of the following: an identifier of the first AI service, and first domain information corresponding to the first AI service.
  • the first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • the first domain information includes at least one of the following: an identifier of the first domain, a condition for joining the first domain, and an identity token (Token).
  • the configuration information further includes a temporary device identifier, where the temporary device identifier is used by the terminal device to subsequently join the first domain for executing the first AI service.
  • the terminal device sends first information to the network device, and the first information includes at least one of the following: an identifier of a service requested by the terminal device, an identifier of the terminal device, capability information of the terminal device, and condition information of the terminal device.
  • the terminal device may send the first information to the network device, so as to provide a reference for the network device to configure information related to the first domain for the terminal device.
  • the first information may include at least one of the following: an identifier of a service requested by the terminal device, an identifier of the terminal device, capability information of the terminal device, and condition information of the terminal device.
  • the service requested by the terminal device includes at least one of the following: an automatic driving service, an AR service, and a VR service.
  • the identifier of the terminal device includes at least one of the following: IMSI (International Mobile Subscriber Identity, International Mobile Subscriber Identity), GUTI (Globally Unique Temporary UE Identity, Globally Unique Temporary UE Identity), SUPI (Subscription Permanent Identifier, Subscription Permanent Identifier), URI (Uniform Resource Identifier, Uniform Resource Identifier) type identification.
  • the capability information of the terminal device includes at least one of the following: computing capability of the terminal device, battery power of the terminal device, storage capability of the terminal device, and data type of the terminal device.
  • the condition information of the terminal device includes at least one of the following: a location of the terminal device, a speed of the terminal device, a time of the terminal device, and a movement track of the terminal device.
  • the first information includes an identifier of the service requested by the terminal device, that is, the terminal device indicates the service requested by the terminal device to the network device through the first information, and then the network device can configure the service for the terminal device based on the service requested by the terminal device.
  • Information related to the first domain the service requested by the terminal device includes the first AI service, that is, the service corresponding to the first domain-related information configured by the network device for the terminal device is one or more services in the services requested by the terminal device.
  • the first AI service may also be a service other than the service requested by the terminal device; or, some services in the first AI service belong to the service requested by the terminal device, and some services are services other than the service requested by the terminal device. It should be understood that all these should fall within the protection scope of the present application.
  • the terminal device can obtain the information related to the first domain during the registration process; or, the terminal device can obtain the information related to the first domain by scanning broadcast messages. related information; or, the terminal device obtains information related to the first domain during the random access process.
  • the first information is carried in the registration request (Regsitration Request) sent by the terminal device to the network device. Based on this, the configuration information is carried in the network In the registration response (Regisitration Accept) sent by the device to the terminal device.
  • Step 604 the network device and the application server exchange first domain information corresponding to the second AI service, where the first domain information corresponding to the second AI service refers to information related to the first domain used to execute the second AI service.
  • the network device may exchange the first domain information corresponding to the second AI service with an application server (Application Server, AS), including the application server sending the first domain information corresponding to the second AI service to the network device.
  • AS Application Server
  • the embodiment of the present application does not limit the conditions for the interaction between the network device and the application server.
  • the network device interacts with the application server corresponding to the second AI service when it does not store the first domain information corresponding to the second AI service. or, when the first domain information corresponding to the second AI service stored by the network device is updated, the network device exchanges the first domain information corresponding to the second AI service with the application server.
  • the second AI service includes the first AI service, that is, the network device configures the terminal device with first domain information corresponding to some or all of the services interacting with the application server.
  • the first AI service includes the second AI service, that is, the network device configures the first domain information corresponding to all services interacting with the application server and the first domain information corresponding to other services to the terminal device.
  • the network device in addition to configuring the first domain information corresponding to the second AI service to the terminal device, the network device also configures the first domain information corresponding to other services stored by itself to the terminal device.
  • the embodiment of the present application also does not limit the relationship between the second AI service and the service requested by the terminal device.
  • the first information includes an identifier of the service requested by the terminal device, that is, the terminal device notifies the network device of the service requested by the terminal device.
  • the service requested by the terminal device may include the second AI service, that is, the service corresponding to the information related to the first domain that the network device interacts with the application server is one or more services in the service requested by the terminal device.
  • the second AI service may not belong to the service requested by the terminal device; or, some services in the second AI service belong to the service requested by the terminal device, and some services do not belong to the service requested by the terminal device. It should be understood that all these should fall within the protection scope of the present application.
  • the terminal device configures information related to the first domain of a specific service for the terminal device through the network device, so that the terminal device subsequently initiates the process of joining the first domain of the specific service, and provides a terminal
  • the device participates in the data analysis corresponding to the specific business to provide a basis.
  • the terminal device can obtain the information related to the first domain of the specific service during the process of registering with the network device, realizing the compatibility between the existing terminal device and the interaction between the network device The process does not need to introduce a separate interaction process for information related to the first domain, avoiding excessive signaling exchanges between the terminal device and the network device, and saving signaling overhead.
  • the process of the network device configuring information related to the first domain for the terminal device is introduced.
  • an introduction and description will be given for the process of the terminal device joining the first domain by using the information related to the first domain.
  • FIG. 8 shows a flowchart of an allocation method provided by an embodiment of the present application, and the method can be applied to the communication system shown in FIG. 5 above.
  • the method may include at least some of the following steps.
  • Step 810 the terminal device sends a first request to the network device, where the first request is used to request to join the first domain for executing the third AI service.
  • the terminal device When the terminal device needs to participate in the third AI service, it may send a first request to the network device, where the first request is used to request to join the first domain for executing the third AI service.
  • the first AI service includes at least one of the following: automatic driving service, AR service, and VR service.
  • the first AI service may be a relatively coarse-grained service or a service specific to a third party, which is not limited in this embodiment of the present application.
  • the first domain for executing the first AI service includes at least one of the following: at least one service node for executing the first AI service, and resources corresponding to each service node.
  • the resources corresponding to the service node include at least one of the following: stored and/or used models, data resources, computing resources, and communication resources.
  • the information related to the first domain of the third AI service may be configured by the network device to the terminal device in the manner shown in the embodiments shown in FIG. 6 to FIG. 7 .
  • the first request includes at least one of the following: terminal device identifier, temporary device identifier, third AI service identifier, terminal device capability information, terminal The condition information of the device, the identifier of the first domain used to execute the third AI service, and the identity token.
  • the temporary device identifier may be configured to the terminal device by the network device through step 610 in the foregoing embodiment.
  • the identifier of the terminal device includes at least one of the following: type identifiers of IMSI, GUTI, SUPI, and URI.
  • the capability information of the terminal device includes at least one of the following: computing capability of the terminal device, battery power of the terminal device, storage capability of the terminal device, and data type of the terminal device.
  • the condition information of the terminal device includes at least one of the following: a location of the terminal device, a speed of the terminal device, a time of the terminal device, and a movement track of the terminal device.
  • Step 820 the network device sends allocation information to the terminal device.
  • the network device allocates the calculation task of the third AI service to the terminal device based on the request of the terminal device, that is, the allocation information sent by the network device to the terminal device is used to allocate resources required for executing the third AI service to the terminal device.
  • the embodiment of the present application does not limit the content of the allocation information.
  • the allocation information includes at least one of the following: AI model information, used to indicate information about the AI model used by the terminal device; operating parameters, used to indicate the terminal The part of the model that the device needs to calculate for the AI model; the connection information, used to indicate other devices that need to communicate when the terminal device executes the third AI service.
  • the assignment information includes connection information; as shown in FIG. 9 , after step 820 above, step 830 is also included, where the terminal device interacts with other devices indicated by the connection information to calculate the result of the AI model.
  • the allocation information sent by the network device to the terminal device includes AI model information 1032 , operating parameters 1034 and connection information 1036 .
  • the connection information 1036 is used to indicate the edge server that needs to communicate when the terminal device executes the third AI service.
  • the terminal device calculates the first three-layer model part indicated by the AI model information 1032, obtains the intermediate result, and then sends the intermediate result to the edge server; the edge server calculates the last three-layer model part, obtains the calculation result, and then sends the calculation result to the terminal device so that the terminal device can use the calculation result.
  • the first request sent by the terminal device to the network device includes an identity token; after the above step 810, it also includes: the network device based on the identity token, the legitimacy of the terminal device Authenticate. For example, another identity token is stored on the network device side, and if the two identity tokens are consistent, the legitimacy authentication of the terminal device is passed.
  • the network device sends the allocation information to the terminal device under the condition that the terminal device is legally authenticated.
  • the above method further includes: based on the first request, the network device determines whether to accept the terminal device to join the first domain for executing the third AI service; and when accepting the terminal device to join, sending allocation information to the terminal device .
  • the network device when the network device locally stores the allocation information corresponding to the third AI service, or when the network device meets the division principle of the first domain, the network device allows the terminal device to join the third AI service for executing the third AI service.
  • One domain which is not limited in this embodiment of the application.
  • the network device when the terminal device requests the network device to join the first domain for executing a specific service, the network device allocates the calculation required for participating in the specific service to the terminal device. various resources for the terminal device to perform the specific service. Moreover, in the technical solution provided by the embodiment of the present application, the network device first authenticates the legitimacy of the terminal device before allocating resources for the terminal device, and allocates resources for the terminal device when the terminal device passes the legitimacy authentication, Improved the security of the first domain.
  • the configuration method provided by the embodiment in Figure 6 and Figure 7 above can be implemented in combination with the allocation method provided by the embodiment in Figure 8 to Figure 10 above, so as to enable different terminal devices to join the first domain on demand The goal.
  • the allocation method provided by the embodiment of FIG. 8 to FIG. 10 above is implemented after the configuration method provided by the embodiment of FIG. 6 to FIG. 7 above.
  • the embodiment of the present application only describes the configuration method and the distribution method from the perspective of interaction between the terminal device and the network device.
  • the steps performed by the terminal device can be implemented as a configuration method on the terminal device side alone; in the configuration method provided in the embodiment of Figure 6 and Figure 7, the network device executes The steps can be implemented separately as a configuration method on the network device side; in the embodiments of Figures 8 to 10, the steps performed by the terminal device can be implemented separately as an allocation method on the terminal device side; in the embodiments of Figures 8 to 10 , the steps performed by the network device can be implemented separately as an allocation method on the network device side.
  • FIG. 11 shows a block diagram of a configuration device provided by an embodiment of the present application.
  • the apparatus has the function of implementing the above example method on the terminal device side, and the function may be implemented by hardware, or may be implemented by executing corresponding software on the hardware.
  • the apparatus may be the terminal device described above, or may be set in the terminal device.
  • the apparatus 1100 may include: a configuration information receiving module 1110 .
  • the configuration information receiving module 1110 is configured to receive configuration information from a network device, where the configuration information includes at least one of the following: the identifier of the first AI service, and the first domain information corresponding to the first AI service; wherein, the The first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • the first domain for executing the first AI service includes at least one of the following: at least one service node for executing the first AI service, and resources corresponding to each of the service nodes.
  • the resource corresponding to the service node includes at least one of the following: a stored and/or used model, a data resource, a computing resource, and a communication resource.
  • the first domain information includes at least one of the following: an identifier of the first domain, a condition for joining the first domain, and an identity token.
  • the configuration information further includes a temporary device identifier, where the temporary device identifier is used for the terminal device to join the first domain for executing the first AI service.
  • the apparatus 1100 further includes: a first information sending module 1120, configured to send first information to a network device, where the first information includes at least one of the following: the terminal device The identifier of the requested service, the identifier of the terminal device, the capability information of the terminal device, and the condition information of the terminal device.
  • a first information sending module 1120 configured to send first information to a network device, where the first information includes at least one of the following: the terminal device The identifier of the requested service, the identifier of the terminal device, the capability information of the terminal device, and the condition information of the terminal device.
  • the services requested by the terminal device include at least one of the following: automatic driving services, AR services, and VR services.
  • the identifier of the terminal device includes at least one of the following: type identifiers of IMSI, GUTI, SUPI, and URI.
  • the capability information of the terminal device includes at least one of the following: computing capability of the terminal device, battery power of the terminal device, storage capability of the terminal device, and data type of the terminal device.
  • condition information of the terminal device includes at least one of the following: a location of the terminal device, a speed of the terminal device, a time of the terminal device, and a movement track of the terminal device.
  • the service requested by the terminal device includes the first AI service.
  • the first information is carried in a registration request sent by the terminal device to the network device; the configuration information is carried in a registration response sent by the network device to the terminal device.
  • FIG. 13 shows a block diagram of a configuration device provided by an embodiment of the present application.
  • the apparatus has the function of realizing the above-mentioned method example on the network device side, and the function may be realized by hardware, or may be realized by executing corresponding software by hardware.
  • the apparatus may be the network device described above, or may be set in the network device.
  • the apparatus 1300 may include: a configuration information sending module 1310 .
  • the configuration information sending module 1310 is configured to send configuration information to the terminal device; the configuration information includes at least one of the following: the identifier of the first AI service, and the first domain information corresponding to the first AI service; wherein, the first AI service
  • the first domain information corresponding to an AI service refers to information related to the first domain used to execute the first AI service.
  • the first domain for executing the first AI service includes at least one of the following: at least one service node for executing the first AI service, and resources corresponding to each of the service nodes.
  • the resource corresponding to the service node includes at least one of the following: a stored and/or used model, a data resource, a computing resource, and a communication resource.
  • the first domain information includes at least one of the following: an identifier of the first domain, a condition for joining the first domain, and an identity token.
  • the configuration information further includes a temporary device identifier, where the temporary device identifier is used for the terminal device to join the first domain for executing the first AI service.
  • the apparatus 1300 further includes: a first information receiving module 1320, configured to receive first information from the terminal device, where the first information includes at least one of the following: An identifier of the service requested by the terminal device, an identifier of the terminal device, capability information of the terminal device, and condition information of the terminal device.
  • the services requested by the terminal device include at least one of the following: automatic driving services, AR services, and VR services.
  • the identifier of the terminal device includes at least one of the following: type identifiers of IMSI, GUTI, SUPI, and URI.
  • the capability information of the terminal device includes at least one of the following: computing capability of the terminal device, battery power of the terminal device, storage capability of the terminal device, and data type of the terminal device.
  • condition information of the terminal device includes at least one of the following: a location of the terminal device, a speed of the terminal device, a time of the terminal device, and a movement track of the terminal device.
  • the service requested by the terminal device includes the first AI service.
  • the first information is carried in a registration request sent by the terminal device to the network device; the configuration information is carried in a registration response sent by the network device to the terminal device.
  • the apparatus 1300 further includes: a first domain information receiving module 1330, configured to receive the first domain information corresponding to the second AI service from the application server, the second AI
  • the first domain information corresponding to the service refers to information related to the first domain used to execute the second AI service.
  • the service requested by the terminal device includes the second AI service.
  • the second AI service includes the first AI service; or, the first AI service includes the second AI service.
  • FIG. 15 shows a block diagram of an allocating device provided by an embodiment of the present application.
  • the apparatus has the function of implementing the above example method on the terminal device side, and the function may be implemented by hardware, or may be implemented by executing corresponding software on the hardware.
  • the apparatus may be the terminal device described above, or may be set in the terminal device.
  • the apparatus 1500 may include: a first request sending module 1510 and an allocation information receiving module 1520 .
  • the first request sending module 1510 is configured to send a first request to the network device, where the first request is used for requesting to join the first domain for executing the third AI service.
  • the distribution information receiving module 1520 is configured to receive the distribution information from the network device.
  • the first domain for executing the third AI service includes at least one of the following: at least one service node for executing the third AI service, and resources corresponding to each of the service nodes.
  • the resource corresponding to the service node includes at least one of the following: a stored and/or used model, a data resource, a computing resource, and a communication resource.
  • the first request includes at least one of the following: an identifier of the terminal device, a temporary device identifier, an identifier of the third AI service, capability information of the terminal device, and a condition of the terminal device Information, an identifier of the first domain used to execute the third AI service, and an identity token.
  • the allocation information includes at least one of the following: AI model information, used to indicate information about the AI model used by the terminal device; operating parameters, used to indicate that the terminal device needs to calculate the AI model The model part; the connection information, used to indicate other devices that the terminal device needs to communicate with when executing the third AI service.
  • the allocation information includes connection information; as shown in FIG. 16 , the apparatus 1500 further includes: a calculation result interaction module 1530 configured to interact with other devices indicated by the connection information about the calculation results of the AI model.
  • FIG. 17 shows a block diagram of an allocating device provided by an embodiment of the present application.
  • the apparatus has the function of realizing the above-mentioned method example on the network device side, and the function may be realized by hardware, or may be realized by executing corresponding software by hardware.
  • the apparatus may be the terminal device described above, or may be set in the terminal device.
  • the apparatus 1700 may include: a first request receiving module 1710 and an allocation information sending module 1720 .
  • the first request receiving module 1710 is configured to receive a first request from a terminal device, where the first request is used to request to join the first domain for executing the third AI service.
  • An allocation information sending module 1720 configured to send allocation information to the terminal device.
  • the first domain for executing the third AI service includes at least one of the following: at least one service node for executing the third AI service, and resources corresponding to each of the service nodes.
  • the resource corresponding to the service node includes at least one of the following: a stored and/or used model, a data resource, a computing resource, and a communication resource.
  • the first request includes at least one of the following: an identifier of the terminal device, a temporary device identifier, an identifier of the third service, capability information of the terminal device, and condition information of the terminal device , an identifier and an identity token of the first domain used to execute the third AI service.
  • the first request includes an identity token; as shown in FIG. 18 , the apparatus 1700 further includes: a legitimacy authentication module 1730, configured to verify the legitimacy of the terminal device based on the identity token authentication.
  • a legitimacy authentication module 1730 configured to verify the legitimacy of the terminal device based on the identity token authentication.
  • the allocation information includes at least one of the following: AI model information, used to indicate information about the AI model used by the terminal device; operating parameters, used to indicate that the terminal device needs to calculate the AI model The model part; the connection information, used to indicate other devices that the terminal device needs to communicate with when executing the third AI service.
  • the apparatus 1700 further includes: a device joining confirmation module 1740, configured to determine whether to accept the terminal device to join for performing the third AI service based on the first request
  • the first domain of the domain the distribution information sending module 1720, configured to send the distribution information to the terminal device when the terminal device is accepted to join.
  • the device provided by the above embodiment performs its functions, it only uses the division of the above functional modules as an example for illustration. In practical applications, the above function allocation can be completed by different functional modules according to actual needs. That is, the content structure of the device is divided into different functional modules to complete all or part of the functions described above.
  • FIG. 19 shows a schematic structural diagram of a terminal device 190 provided by an embodiment of the present application.
  • the terminal device can be used to implement the configuration method on the terminal device side or the allocation method on the terminal device side.
  • the terminal device 190 may include: a processor 191, and a transceiver 192 connected to the processor 191; wherein:
  • the processor 191 includes one or more processing cores, and the processor 191 executes various functional applications and information processing by running software programs and modules.
  • Transceiver 192 includes a receiver and a transmitter.
  • the transceiver 192 is a communication chip.
  • the terminal device 190 further includes: a memory and a bus.
  • the memory is connected to the processor through a bus.
  • the memory may be used to store a computer program, and the processor is used to implement the computer program, so as to implement various steps performed by the terminal device in the foregoing method embodiments.
  • the memory can be implemented by any type of volatile or non-volatile storage device or their combination, and the volatile or non-volatile storage device includes but is not limited to: RAM (Random-Access Memory, Random Access Memory) and ROM (Read-Only Memory, read-only memory), EPROM (Erasable Programmable Read-Only Memory, erasable programmable read-only memory), EEPROM (Electrically Erasable Programmable Read-Only Memory, electrically erasable programmable read-only memory ), flash memory or other solid-state storage technology, CD-ROM (Compact Disc Read-Only Memory, CD-ROM), DVD (Digital Video Disc, high-density digital video disc) or other optical storage, tape cartridges, tapes, disk storage or other magnetic storage devices.
  • RAM Random-Access Memory
  • ROM Read-Only Memory
  • EPROM Erasable Programmable Read-Only Memory, erasable programmable read-only memory
  • EEPROM Electrically Erasable Programmable Read-Only
  • the transceiver 192 is configured to: receive configuration information from a network device, where the configuration information includes at least one of the following: the identifier of the first AI service, the first AI service Corresponding first domain information; wherein, the first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • the first domain for executing the first AI service includes at least one of the following: at least one service node for executing the first AI service, and resources corresponding to each of the service nodes .
  • the resource corresponding to the service node includes at least one of the following: a stored and/or used model, a data resource, a computing resource, and a communication resource.
  • the first domain information includes at least one of the following: an identifier of the first domain, a condition for joining the first domain, and an identity token.
  • the configuration information further includes a temporary device identifier, where the temporary device identifier is used for the terminal device to join the first domain for executing the first AI service.
  • the transceiver 192 is further configured to: send first information to the network device, where the first information includes at least one of the following: an identifier of the service requested by the terminal device, an identifier of the terminal device , capability information of the terminal device, and condition information of the terminal device.
  • the services requested by the terminal device include at least one of the following: automatic driving services, AR services, and VR services.
  • the identifier of the terminal device includes at least one of the following: type identifiers of IMSI, GUTI, SUPI, and URI.
  • the capability information of the terminal device includes at least one of the following: computing capability of the terminal device, battery power of the terminal device, storage capability of the terminal device, and data type of the terminal device.
  • condition information of the terminal device includes at least one of the following: a location of the terminal device, a speed of the terminal device, a time of the terminal device, and a movement track of the terminal device.
  • the service requested by the terminal device includes the first AI service.
  • the first information is carried in a registration request sent by the terminal device to the network device; the configuration information is carried in a registration response sent by the network device to the terminal device.
  • the transceiver 192 is further configured to send a first request to the network device, where the first request is used to request to join the first domain for executing the third AI service; Allocation information of the network device.
  • the first domain for executing the third AI service includes at least one of the following: at least one service node for executing the third AI service, and resources corresponding to each of the service nodes.
  • the resource corresponding to the service node includes at least one of the following: a stored and/or used model, a data resource, a computing resource, and a communication resource.
  • the first request includes at least one of the following: an identifier of the terminal device, a temporary device identifier, an identifier of the third AI service, capability information of the terminal device, and a condition of the terminal device Information, an identifier of the first domain used to execute the third AI service, and an identity token.
  • the allocation information includes at least one of the following: AI model information, used to indicate information about the AI model used by the terminal device; operating parameters, used to indicate that the terminal device needs to calculate the AI model The model part; the connection information, used to indicate other devices that the terminal device needs to communicate with when executing the third AI service.
  • the allocation information includes connection information; and the transceiver 192 is further configured to interact with other devices indicated by the connection information with the calculation result of the AI model.
  • FIG. 20 shows a schematic structural diagram of a network device 200 provided by an embodiment of the present application.
  • the network device can be used to implement the above-mentioned configuration method on the network device side, or execute the above-mentioned allocation method on the network device side.
  • the network device 200 may include: a processor 201, and a transceiver 202 connected to the processor 201; wherein:
  • the processor 201 includes one or more processing cores, and the processor 201 executes various functional applications and information processing by running software programs and modules.
  • Transceiver 202 includes a receiver and a transmitter.
  • the transceiver 202 is a communication chip.
  • the network device 200 further includes: a memory and a bus.
  • the memory is connected to the processor through a bus.
  • the memory may be used to store a computer program, and the processor is used to execute the computer program, so as to implement various steps performed by the network device in the foregoing method embodiments.
  • the memory can be implemented by any type of volatile or non-volatile storage device or their combination, and the volatile or non-volatile storage device includes but is not limited to: RAM (Random-Access Memory, Random Access Memory) and ROM (Read-Only Memory, read-only memory), EPROM (Erasable Programmable Read-Only Memory, erasable programmable read-only memory), EEPROM (Electrically Erasable Programmable Read-Only Memory, electrically erasable programmable read-only memory ), flash memory or other solid-state storage technology, CD-ROM (Compact Disc Read-Only Memory, CD-ROM), DVD (Digital Video Disc, high-density digital video disc) or other optical storage, tape cartridges, tapes, disk storage or other magnetic storage devices.
  • RAM Random-Access Memory
  • ROM Read-Only Memory
  • EPROM Erasable Programmable Read-Only Memory, erasable programmable read-only memory
  • EEPROM Electrically Erasable Programmable Read-Only
  • the transceiver 202 is configured to send configuration information to the terminal device; the configuration information includes at least one of the following: the identifier of the first AI service, the first AI service corresponding to the Domain information; wherein, the first domain information corresponding to the first AI service refers to information related to the first domain used to execute the first AI service.
  • the first domain for executing the first AI service includes at least one of the following: at least one service node for executing the first AI service, and resources corresponding to each of the service nodes.
  • the resource corresponding to the service node includes at least one of the following: a stored and/or used model, a data resource, a computing resource, and a communication resource.
  • the first domain information includes at least one of the following: an identifier of the first domain, a condition for joining the first domain, and an identity token.
  • the configuration information further includes a temporary device identifier, where the temporary device identifier is used for the terminal device to join the first domain for executing the first AI service.
  • the transceiver 202 is further configured to: receive first information from the terminal device, where the first information includes at least one of the following: an identifier of the service requested by the terminal device, the The identifier of the terminal device, the capability information of the terminal device, and the condition information of the terminal device.
  • the services requested by the terminal device include at least one of the following: automatic driving services, AR services, and VR services.
  • the identifier of the terminal device includes at least one of the following: type identifiers of IMSI, GUTI, SUPI, and URI.
  • the capability information of the terminal device includes at least one of the following: computing capability of the terminal device, battery power of the terminal device, storage capability of the terminal device, and data type of the terminal device.
  • condition information of the terminal device includes at least one of the following: a location of the terminal device, a speed of the terminal device, a time of the terminal device, and a movement track of the terminal device.
  • the service requested by the terminal device includes the first AI service.
  • the first information is carried in a registration request sent by the terminal device to the network device; the configuration information is carried in a registration response sent by the network device to the terminal device.
  • the transceiver 202 is further configured to: receive the first domain information corresponding to the second AI service from the application server, the first domain information corresponding to the second AI service refers to the information used to execute Information related to the first domain of the second AI service.
  • the service requested by the terminal device includes the second AI service.
  • the second AI service includes the first AI service; or, the first AI service includes the second AI service.
  • the transceiver 202 is configured to receive a first request from a terminal device, where the first request is used to request to join the first domain for executing the third AI service;
  • the terminal device sends allocation information.
  • the first domain for executing the third AI service includes at least one of the following: at least one service node for executing the third AI service, and resources corresponding to each of the service nodes.
  • the resource corresponding to the service node includes at least one of the following: a stored and/or used model, a data resource, a computing resource, and a communication resource.
  • the first request includes at least one of the following: an identifier of the terminal device, a temporary device identifier, an identifier of the third service, capability information of the terminal device, and condition information of the terminal device , an identifier and an identity token of the first domain used to execute the third AI service.
  • the first request includes an identity token; the processor 201 is configured to authenticate the legitimacy of the terminal device based on the identity token.
  • the allocation information includes at least one of the following: AI model information, used to indicate information about the AI model used by the terminal device; operating parameters, used to indicate that the terminal device needs to calculate the AI model The model part; the connection information, used to indicate other devices that the terminal device needs to communicate with when executing the third AI service.
  • the processor 201 is configured to determine whether to accept the terminal device to join the first domain for executing the third AI service based on the first request; the transceiver 202 is configured to When the terminal device is accepted to join, the allocation information is sent to the terminal device.
  • An embodiment of the present application also provides a computer-readable storage medium, where a computer program is stored in the storage medium, and the computer program is used to be executed by a processor of a terminal device, so as to implement the configuration method on the terminal device side as described above.
  • An embodiment of the present application also provides a computer-readable storage medium, where a computer program is stored in the storage medium, and the computer program is used to be executed by a processor of a network device, so as to implement the above configuration method on the network device side.
  • An embodiment of the present application also provides a computer-readable storage medium, where a computer program is stored in the storage medium, and the computer program is used to be executed by a processor of a terminal device, so as to implement the above-mentioned distribution method on the terminal device side.
  • An embodiment of the present application also provides a computer-readable storage medium, where a computer program is stored in the storage medium, and the computer program is used to be executed by a processor of a network device, so as to implement the above-mentioned distribution method on the network device side.
  • the embodiment of the present application also provides a chip, the chip includes a programmable logic circuit and/or program instructions, and when the chip is run on the terminal device, it is used to implement the above configuration method on the terminal device side.
  • the embodiment of the present application also provides a chip, the chip includes a programmable logic circuit and/or program instructions, and when the chip runs on the network device, it is used to implement the configuration method on the network device side as described above.
  • the embodiment of the present application also provides a chip, the chip includes a programmable logic circuit and/or program instructions, and when the chip runs on the terminal device, it is used to implement the above-mentioned distribution method on the terminal device side.
  • the embodiment of the present application also provides a chip, the chip includes a programmable logic circuit and/or program instructions, and when the chip runs on a network device, it is used to implement the above-mentioned allocation method on the network device side.
  • An embodiment of the present application further provides a computer program product, which is used to implement the configuration method on the terminal device side as described above when the computer program product runs on the terminal device.
  • the embodiment of the present application also provides a computer program product, which is used to implement the above configuration method on the network device side when the computer program product runs on the network device.
  • the embodiment of the present application also provides a computer program product, which is used to implement the above-mentioned distribution method on the terminal device side when the computer program product is run on the terminal device.
  • An embodiment of the present application further provides a computer program product, which is used to implement the above-mentioned allocation method on the network device side when the computer program product runs on the network device.
  • the functions described in the embodiments of the present application may be implemented by hardware, software, firmware or any combination thereof.
  • the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium.
  • Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another.
  • a storage media may be any available media that can be accessed by a general purpose or special purpose computer.

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Abstract

本申请提供了一种配置方法、分配方法、装置、设备及存储介质,涉及通信技术领域。所述方法包括:网络设备向终端设备发送配置信息,配置信息包括:第一AI业务的标识,以及第一AI业务对应的第一域信息;其中,第一AI业务对应的第一域信息是指与用于执行第一AI业务的第一域相关的信息。本申请实施例通过网络设备为终端设备配置特定业务的第一域相关的信息,以便于终端设备后续发起加入该特定业务的第一域的流程,为终端设备参与该特定业务对应的数据分析等提供依据。

Description

配置方法、分配方法、装置、设备及存储介质 技术领域
本申请实施例涉及通信技术领域,特别涉及一种配置方法、分配方法、装置、设备及存储介质。
背景技术
为了能够提升大数据分析的效果,3GPP(3rd Generation Partnership Project,第3代合作伙伴计划)考虑采用多级AI(Artificial Intelligence,人工智能)/ML(Machine Learning,机器学习)的方式,即终端设备和网络侧的网络设备分工进行大数据分析。
一种典型的分工方式是:终端设备将数据进行部分运算形成中间态数据,然后将中间态数据通过移动网络发送至网络设备进行进一步的计算。基于参与大数据分析的设备包括多个终端设备的情况,大数据分析的分工可以有多种选择,至少包括集中式场景、完全分布式场景、混合式场景这三种选择。其中,集中式场景是指:所有的终端设备将大数据分析所需的数据上报至网络设备后,由网络设备进行大数据分析的分析工作;完全分布式场景是指:不同的终端设备对于采集的数据在本地进行分析;混合式场景是指:终端设备对于采集的数据在本地进行了一部分分析之后,将分析结果发送至网络设备,由网络设备进行进一步地计算分析。此外,针对完全分布式场景和混合式场景,还可能引入不同终端设备之间交互大数据分析的数据和结果。
基于此,终端设备可能会根据大数据分析的需求,分工得到不同的AI/ML模型和计算工作,并在需求的时间内与网络设备交互计算结果等。因此,针对如何为终端设备进行大数据分析的分工,以及终端设备完成大数据分析所需的资源,还需要进一步地讨论和研究。
发明内容
本申请实施例提供了一种配置方法、分配方法、装置、设备及存储介质。所述技术方案如下:
一方面,本申请实施例提供了一种配置方法,应用于终端设备中,所述方法包括:
接收来自于网络设备的配置信息,所述配置信息包括以下至少一项:第一AI业务的标识、所述第一AI业务对应的第一域信息;
其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
另一方面,本申请实施例提供了一种配置方法,应用于网络设备中,所述方法包括:
向终端设备发送配置信息;所述配置信息包括以下至少一项:第一AI业务的标识、所述第一AI业务对应的第一域信息;
其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
再一方面,本申请实施例提供了一种分配方法,应用于终端设备中,所述方法包括:
向网络设备发送第一请求,所述第一请求用于请求加入用于执行第三AI业务的第一域;
接收来自于所述网络设备的分配信息。
又一方面,本申请实施例提供了一种分配方法,应用于网络设备中,所述方法包括:
接收来自于终端设备的第一请求,所述第一请求用于请求加入用于执行第三AI业务的第一域;
向所述终端设备发送分配信息。
还一方面,本申请实施例提供了一种配置装置,设置在终端设备中,所述装置包括:
配置信息接收模块,用于接收来自于网络设备的配置信息,所述配置信息包括以下至少一项:第一AI业务的标识、所述第一AI业务对应的第一域信息;
其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
还一方面,本申请实施例提供了一种配置装置,设置在网络设备中,所述装置包括:
配置信息发送模块,用于向终端设备发送配置信息;所述配置信息包括以下至少一项:第一AI业务的标识、所述第一AI业务对应的第一域信息;
其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
还一方面,本申请实施例提供了一种分配装置,设置在终端设备中,所述装置包括:
第一请求发送模块,用于向网络设备发送第一请求,所述第一请求用于请求加入用于执行第三AI业务的第一域;
分配信息接收模块,用于接收来自于所述网络设备的分配信息。
还一方面,本申请实施例提供了一种分配装置,设置在网络设备中,所述装置包括:
第一请求接收模块,用于接收来自于终端设备的第一请求,所述第一请求用于请求加入用于执行第三AI业务的第一域;
分配信息发送模块,用于向所述终端设备发送分配信息。
还一方面,本申请实施例提供了一种终端设备,所述终端设备包括:处理器,以及与所述处理器相连的收发器;其中:
所述收发器,用于接收来自于网络设备的配置信息,所述配置信息包括以下至少一项:第一AI业务的标识、所述第一AI业务对应的第一域信息;
其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
还一方面,本申请实施例提供了一种网络设备,所述网络设备包括:处理器,以及与所述处理器相连的收发器;其中:
所述收发器,用于向终端设备发送配置信息;所述配置信息包括以下至少一项:第一AI业务的标识、所述第一AI业务对应的第一域信息;
其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
还一方面,本申请实施例提供了一种终端设备,所述终端设备包括:处理器,以及与所述处理器相连的收发器;其中:
所述收发器,用于向网络设备发送第一请求,所述第一请求用于请求加入用于执行第三AI业务的第一域;
所述收发器,用于接收来自于所述网络设备的分配信息。
还一方面,本申请实施例提供了一种网络设备,所述网络设备包括:处理器,以及与所述处理器相连的收发器;其中:
所述收发器,用于接收来自于终端设备的第一请求,所述第一请求用于请求加入用于执行第三AI业务的第一域;
所述收发器,用于向所述终端设备发送分配信息。
还一方面,本申请实施例提供了一种计算机可读存储介质,所述存储介质中存储有计算机程序,所述计算机程序用于被终端设备的处理器执行,以实现如上述终端设备侧的配置方法。
还一方面,本申请实施例提供了一种计算机可读存储介质,所述存储介质中存储有计算机程序,所述计算机程序用于被网络设备的处理器执行,以实现如上述网络设备侧的配置方法。
还一方面,本申请实施例提供了一种计算机可读存储介质,所述存储介质中存储有计算机程序,所述计算机程序用于被终端设备的处理器执行,以实现如上述终端设备侧的分配方法。
还一方面,本申请实施例提供了一种计算机可读存储介质,所述存储介质中存储有计算机程序,所述计算机程序用于被网络设备的处理器执行,以实现如上述网络设备侧的分配方法。
还一方面,本申请实施例提供了一种芯片,所述芯片包括可编程逻辑电路和/或程序指令,当所述芯片在终端设备上运行时,用于实现如上述终端设备侧的配置方法。
还一方面,本申请实施例提供了一种芯片,所述芯片包括可编程逻辑电路和/或程序指令,当所述芯片在网络设备上运行时,用于实现如上述网络设备侧的配置方法。
还一方面,本申请实施例提供了一种芯片,所述芯片包括可编程逻辑电路和/或程序指令,当所述芯片在终端设备上运行时,用于实现如上述终端设备侧的分配方法。
还一方面,本申请实施例提供了一种芯片,所述芯片包括可编程逻辑电路和/或程序指令,当所述芯片在网络设备上运行时,用于实现如上述网络设备侧的分配方法。
还一方面,本申请实施例提供了一种计算机程序产品,当计算机程序产品在终端设备上运行时,用于实现如上述终端设备侧的配置方法。
还一方面,本申请实施例提供了一种计算机程序产品,当计算机程序产品在网络设备上运行时,用于实现如上述网络设备侧的配置方法。
还一方面,本申请实施例提供了一种计算机程序产品,当计算机程序产品在终端设备上运行时,用于实现如上述终端设备侧的分配方法。
还一方面,本申请实施例提供了一种计算机程序产品,当计算机程序产品在网络设备上运行时,用于实现如上述网络设备侧的分配方法。
本申请实施例提供的技术方案可以包括如下有益效果:
通过网络设备为终端设备配置特定业务的第一域相关的信息,以便于终端设备后续发起加入该特定业务的第一域的流程,为终端设备参与该特定业务对应的数据分析等提供依据。
通过终端设备向网络设备请求加入用于执行特定业务的第一域的情况下,由网络设备为终端设备分配参与该特定业务的计算所需的各项资源,以便于终端设备执行该特定业务。
附图说明
为了更清楚地说明本申请实施例中的技术方案,下面将对实施例描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本申请的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1是本申请一个实施例提供的大数据分析的分工示意图;
图2是本申请一个实施例提供的大数据分析的分工场景的示意图;
图3是本申请另一个实施例提供的大数据分析的分工场景的示意图;
图4是本申请又一个实施例提供的大数据分析的分工场景的示意图;
图5是本申请一个实施例提供的通信系统的示意图;
图6是本申请一个实施例提供的配置方法的流程图;
图7是本申请另一个实施例提供的配置方法的流程图;
图8是本申请一个实施例提供的分配方法的流程图;
图9是本申请一个实施例提供的分配信息的内容示意图;
图10是本申请另一个实施例提供的分配方法的流程图;
图11是本申请一个实施例提供的配置装置的框图;
图12是本申请另一个实施例提供的配置装置的框图;
图13是本申请再一个实施例提供的配置装置的框图;
图14是本申请又一个实施例提供的配置装置的框图;
图15是本申请一个实施例提供的分配装置的框图;
图16是本申请另一个实施例提供的分配装置的框图;
图17是本申请再一个实施例提供的分配装置的框图;
图18是本申请又一个实施例提供的分配装置的框图;
图19是本申请一个实施例提供的终端设备的结构框图;
图20是本申请一个实施例提供的网络设备的结构框图。
具体实施方式
为使本申请的目的、技术方案和优点更加清楚,下面将结合附图对本申请实施方式作进一步地详细描述。
本申请实施例描述的网络架构以及业务场景是为了更加清楚地说明本申请实施例的技术方案,并不构成对本申请实施例提供的技术方案的限定,本领域普通技术人员可知,随着网络架构的演变和新业务场景的出现,本申请实施例提供的技术方案对于类似的技术问题,同样适用。
为了能够提升大数据分析的效果,3GPP考虑采用多级AI/ML的方式,即终端设备和网络侧的网络设备分工进行大数据分析。
如图1所示,一种典型的分工方式是:终端设备110将数据进行部分运算形成中间态数据,然后将中间态数据通过移动网络发送至网络设备120进行进一步的计算。基于参与大数据分析的设备包括多个终端设备的情况,大数据分析的分工可以有多种选择,至少包括集中式场景、完全分布式场景、混合式场景这三种选择。其中,如图2(a)所示,集中式场景是指:所有的终端设备210将大数据分析所需的数据上报至网络设备220后,由网络设备220进行大数据分析的分析工作;如图2(b)所示,完全分布式场景是指:不同的终端设备210对于采集的数据在本地进行分析;如图2(c)所示,混合式场景是指:终端设备210对于采集的数据在本地进行了一部分分析之后,将分析结果发送至网络设备220,由网络设备220进行进一步地计算分析。此外,针对完全分布式场景和混合式场景,还可能引入不同终端设备之间交互大数据分析的数据和结果。
示例性地,如图3所示,大数据分析可以由终端设备310、边缘服务器320和云端服务器330这三者 分工进行,也可以由其中的两个分工进行,还可以由其中的一个单独进行。基于此,终端设备可能会根据大数据分析的需求,分工得到不同的AI/ML模型和计算工作,并在需求的时间内与网络设备交互计算结果等。
从上述实施例可以看出,终端设备和网络设备之间需要通信来保证数据的交换,通信质量在此时就显得非常重要,因为如果终端设备不能及时将计算的数据发送给网络设备,那么网络设备就需要一直等待,造成计算资源的闲置,无法达到最佳的大数据分析效率。
其中,对于一个AI模型的训练或推理来讲,实际的执行行为需要考虑以下至少一个问题:数据局限性、推理结果局限性、资源分配局限性、模型有效性限制。
数据局限性,即数据可以开放给谁、对谁有价值?
推理结果局限性,即基于AI的推理结果适用于谁、适用于哪些条件和范围?
资源分配局限性,即通信、存储、算力等资源如何划分以支持不同的AI业务?
模型有效性限制,即训练出的模型适用于哪些终端设备和场景?
因此,6G(6-Generation,第6代移动通信)网络中的AI行为具有局限性和封闭性。为了能够准确定义AI行为所能作用和服务的范围,以便充分使用6G网络资源执行千行百业下的AI相关服务,本申请实施例中引入第一域进行划分。也就是说,上述局限性和限制都可以限定在特定的第一域来进行定义、描述。下面,通过几个实施例对本申请提供的技术方案进行介绍和说明。
首先,对本申请实施例涉及的第一域进行介绍说明。
第一域是资源的划分屏障,其包括以下至少一项:用于执行特定AI业务的至少一个服务节点、各个服务节点对应的资源。可选地,第一域对各个服务节点对应的资源进行统筹管理,服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。可选地,第一域所包括的资源开放给第一域内部的各个服务节点和/或特定域使用。第一域可以对精准的模型匹配、网络资源调度、数据共享等提供最优化策略。
在一个示例中,第一域可以通过业务类型进行划分,并在此基础上,可以进一步按照位置、用户、第三方定制等维度细分,新的服务节点按照划分原则加入对应的第一域。示例性地,在某个特定位置的移动性管理可以划分为一个第一域,该第一域负责对该位置的所有终端设备执行最佳的移动性管理优化。示例性地,如图4所示,按照一定的划分原则划分出4个第一域410,不同的服务节点420可以划分出一部分资源支持一个第一域410。
下面,以一个具体的示例介绍说明第一域的作用。
示例性地,假设在位置1下需要使用AI技术执行自动驾驶的需求,因而可以在位置1下建立一个第一域,该第一域仅用于在位置1下执行自动驾驶业务,为此第一域需要训练出最佳的AI模型供终端使用,同时在本地也需要提供相应的AI服务。为了达到AI模型的训练,第一域会通过收集在位置1下的自动驾驶中断信息,包括当前AI模型的使用情况、终端反馈、模型训练(如联邦学习)等不断地优化自身的模型,以不断提升自动驾驶的体验。久而久之,该第一域就对在该位置1下的自动驾驶业务最为熟悉,包括形成了成熟的AI模型、可以根据进入位置1的不同终端设备的特点和实时条件配置最佳的工作任务(如AI模型的全部或部分模型部分的计算任务),为不同的终端设备配置需要的通信资源和计算资源。
当一个终端设备需要在位置1进行自动驾驶,那么需要加入该位置下的第一域,这样第一域可以根据该用户的特征和客观条件为其下发最适合的AI模型和工作任务,并为其分配最合适的服务节点以及建立需要的通信连接。同时,该终端设备还可以在第一域的组织下参与基于联邦学习的模型训练等。
由上述实施例可知,一个第一域可以用于执行一个特定条件下的特定业务。一方面,终端设备往往有多种不同的AI业务需求;另一方面,第一域是网络侧资源规划的概念,终端设备并不能直接理解第一域。因此,本申请通过如下几个实施例执行不同终端设备按需加入第一域的目标。下面,对这几个实施例进行介绍说明。
需要说明的一点是,本申请实施例中所述的“第一域”还可以替换为其他名称,如“AI域”、“资源域”、“业务域”等等,为了方便描述,本申请实施例将统筹管理用于执行特定AI业务的至少一个服务节点,统称为“第一域”。应理解,这并不构成对本申请的限定。
请参考图5,其示出了本申请一个实施例提供的通信系统的示意图。该通信系统可以包括:终端设备510和网络设备520。
终端设备510的数量通常为多个,每一个网络设备520所管理的小区内可以分布一个或多个终端设备510。终端设备510可以包括各种具有无线通信功能的手持设备、车载设备、可穿戴设备、计算设备或连接到无线调制解调器的其它处理设备,以及各种形式的用户设备(User Equipment,UE),移动台(Mobile  Station,MS)等等。为方便描述,本申请实施例中,上面提到的设备统称为终端设备。
网络设备520是一种部署在接入网中用以为终端设备510提供无线通信功能的装置。网络设备520可以包括各种形式的宏基站,微基站,中继站,接入点等等。在采用不同的无线接入技术的系统中,具备网络设备功能的设备的名称可能会有所不同,例如在5G(5th-Generation,第五代移动通信技术)NR系统中,称为gNodeB或者gNB。随着通信技术的演进,“网络设备”这一名称可能会变化。为方便描述,本申请实施例中,上述为终端设备510提供无线通信功能的装置统称为网络设备。可选地,网络设备520与终端设备510之间通过某种空口技术互相通信,例如Uu接口。
本申请实施例中的“5G NR系统”也可以称为5G系统或者NR系统,但本领域技术人员可以理解其含义。应理解,本申请实施例的技术方案可以应用于各种通信系统,例如:6G系统、长期演进(Long Term Evolution,LTE)系统、LTE频分双工(Frequency Division Duplex,FDD)系统、LTE时分双工(Time Division Duplex,TDD)系统、先进的长期演进(Advanced Long Term Evolution,LTE-A)系统、NR系统、NR系统的演进系统、非授权频段上的LTE(LTE-based access to Unlicensed spectrum,LTE-U)系统、NR-U(New Radio-Unlicensed,非授权频段上的NR)系统、无线局域网(Wireless Local Area Networks,WLAN)、无线保真(Wireless Fidelity,WiFi)、下一代通信系统或其他通信系统等。
请参考图6,其示出了本申请一个实施例提供的配置方法的流程图,该方法可以应用于上述图5所示的通信系统中。该方法可以包括如下步骤中的至少部分步骤。
步骤610,网络设备向终端设备发送配置信息,配置信息包括以下至少一项:第一AI业务的标识、第一AI业务对应的第一域信息;其中,第一AI业务对应的第一域信息是指与用于执行第一AI业务的第一域相关的信息。
配置信息用于为终端设备配置与用于执行第一AI业务的第一域相关的信息。可选地,第一AI业务包括以下至少一项:自动驾驶业务、AR(Augmented Reality,增强现实)业务、VR(Virtual Reality,虚拟现实)业务。可选地,第一AI业务既可以是较粗粒度的业务,也可以是具体到某个第三方的业务,本申请实施例对此不作限定。可选地,用于执行第一AI业务的第一域包括以下至少一项:用于执行第一AI业务的至少一个服务节点、各个服务节点对应的资源。可选地,服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。有关第一域的其它介绍说明,请参见上述实施例,此处不多赘述。
本申请实施例中,配置信息包括以下至少一项:第一AI业务的标识、第一AI业务对应的第一域信息。其中,第一AI业务对应的第一域信息是指与用于执行第一AI业务的第一域相关的信息。可选地,第一域信息包括以下至少一项:第一域的标识、加入第一域的条件、身份令牌(Token)。可选地,配置信息中还包括临时设备标识,该临时设备标识用于终端设备后续加入用于执行第一AI业务的第一域。
在一个示例中,如图7所示,上述步骤610之前,还包括如下步骤中的至少部分步骤。
步骤602,终端设备向网络设备发送第一信息,第一信息包括以下至少一项:终端设备请求的业务的标识、终端设备的标识、终端设备的能力信息、终端设备的条件信息。
终端设备可以向网络设备发送第一信息,从而为网络设备为终端设备配置第一域相关的信息提供参考。本申请实施例中,第一信息可以包括以下至少一项:终端设备请求的业务的标识、终端设备的标识、终端设备的能力信息、终端设备的条件信息。可选地,终端设备请求的业务包括以下至少一项:自动驾驶业务、AR业务、VR业务。可选地,终端设备的标识包括以下至少一项:IMSI(International Mobile Subscriber Identity,国际移动用户识别码)、GUTI(Globally Unique Temporary UE Identity,全球唯一临时用户设备标识)、SUPI(SUbscription Permanent Identifier,订阅永久标识符)、URI(Uniform Resource Identifier,统一资源标识符)的类型标识。可选地,终端设备的能力信息包括以下至少一项:终端设备的计算能力、终端设备的电量、终端设备的存储能力、终端设备的数据类型。可选地,终端设备的条件信息包括以下至少一项:终端设备的位置、终端设备的速度、终端设备的时间、终端设备的移动轨迹。
在一个示例中,第一信息包括终端设备请求的业务的标识,也即,终端设备通过第一信息向网络设备指示终端设备请求的业务,进而网络设备可以基于终端设备请求的业务为终端设备配置第一域相关的信息。可选地,终端设备请求的业务包括第一AI业务,也即,网络设备为终端设备配置的第一域相关的信息对应的业务,是终端设备请求的业务中的一个或多个业务。当然,第一AI业务也可以是终端设备请求的业务之外的业务;或者,第一AI业务中的部分业务属于终端设备请求的业务,部分业务为终端设备请求的业务之外的业务。应理解,这些均应属于本申请的保护范围之内。
本申请实施例对第一域相关的信息的配置时机不作限定,可选地,终端设备可以在注册过程中获得第一域相关的信息;或者,终端设备通过扫描广播消息的方式获得第一域相关的信息;或者,终端设备在随机接入过程中获得第一域相关的信息。可选地,在终端设备在注册过程中获得第一域相关的信息的情况下, 第一信息承载在终端设备向网络设备发送的注册请求(Regsitration Request)中,基于此,配置信息承载在网络设备向终端设备发送的注册响应(Regisitration Accept)中。
在一个示例中,如图7所示,上述步骤610之前,还包括如下步骤中的至少部分步骤。
步骤604,网络设备与应用服务器交互第二AI业务对应的第一域信息,第二AI业务对应的第一域信息是指与用于执行第二AI业务的第一域相关的信息。
网络设备在必要的情况下,可以与应用服务器(Application Server,AS)交互第二AI业务对应的第一域信息,包括应用服务器向网络设备发送第二AI业务对应的第一域信息。本申请实施例对网络设备与应用服务器交互的条件不作限定,可选地,网络设备在自身未存储有第二AI业务对应的第一域信息的情况下,与应用服务器交互第二AI业务对应的第一域信息;或者,网络设备在自身存储的第二AI业务对应的第一域信息发生更新的情况下,与应用服务器交互第二AI业务对应的第一域信息。
本申请实施例第二AI业务与第一AI业务之间的关系不作限定。在一个示例中,第二AI业务包括第一AI业务,也即,网络设备将与应用服务器交互的业务中的部分或全部业务对应的第一域信息配置给终端设备。在另一个示例中,第一AI业务包括第二AI业务,也即,网络设备将与应用服务器交互的全部业务对应的第一域信息,以及其他业务对应的第一域信息共同配置给终端设备,如网络设备除了将第二AI业务对应的第一域信息配置给终端设备之外,还将自身存储的其他业务对应的第一域信息也配置给终端设备。
本申请实施例对第二AI业务与终端设备请求的业务之间的关系也不作限定。在一个示例中,第一信息包括终端设备请求的业务的标识,也即,终端设备向网络设备告知终端设备请求的业务。基于此,终端设备请求的业务可以包括第二AI业务,也即,网络设备与应用服务器交互的第一域相关的信息所对应的业务,是终端设备请求的业务中的一个或多个业务。当然,第二AI业务也可以不属于终端设备请求的业务;或者,第二AI业务中部分业务属于终端设备请求的业务,部分业务不属于终端设备请求的业务。应理解,这些均应属于本申请的保护范围之内。
综上所述,本申请实施例提供的技术方案,通过网络设备为终端设备配置特定业务的第一域相关的信息,以便于终端设备后续发起加入该特定业务的第一域的流程,为终端设备参与该特定业务对应的数据分析等提供依据。并且,本申请实施例提供的技术方案中,终端设备可以在注册至网络设备的过程中获取该特定业务的第一域相关的信息,实现了兼容现有的终端设备与网络设备之间的交互流程,无需针对第一域相关的信息引入单独的交互流程,避免了终端设备与网络设备之间过多的信令往来,节省了信令开销。
在上述实施例中介绍了网络设备为终端设备配置第一域相关的信息的过程。下面,针对终端设备使用第一域相关的信息加入第一域的流程进行介绍说明。
请参考图8,其示出了本申请一个实施例提供的分配方法的流程图,该方法可以应用于上述图5所示的通信系统中。该方法可以包括如下步骤中的至少部分步骤。
步骤810,终端设备向网络设备发送第一请求,第一请求用于请求加入用于执行第三AI业务的第一域。
终端设备在需求参与第三AI业务时,可以向网络设备发送第一请求,该第一请求用于请求加入用于执行第三AI业务的第一域。可选地,第一AI业务包括以下至少一项:自动驾驶业务、AR业务、VR业务。可选地,第一AI业务既可以是较粗粒度的业务,也可以是具体到某个第三方的业务,本申请实施例对此不作限定。可选地,用于执行第一AI业务的第一域包括以下至少一项:用于执行第一AI业务的至少一个服务节点、各个服务节点对应的资源。可选地,服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。有关第一域的其它介绍说明,请参见上述实施例,此处不多赘述。可选地,第三AI业务的第一域相关的信息可以是网络设备通过图6至图7实施例所示出的方式配置给终端设备的。
本申请实施例对第一请求的内容不作限定,在一个示例中,第一请求包括以下至少一项:终端设备的标识、临时设备标识、第三AI业务的标识、终端设备的能力信息、终端设备的条件信息、用于执行第三AI业务的第一域的标识、身份令牌。其中,临时设备标识可以是网络设备通过上述实施例中的步骤610配置给终端设备的。可选地,终端设备的标识包括以下至少一项:IMSI、GUTI、SUPI、URI的类型标识。可选地,终端设备的能力信息包括以下至少一项:终端设备的计算能力、终端设备的电量、终端设备的存储能力、终端设备的数据类型。可选地,终端设备的条件信息包括以下至少一项:终端设备的位置、终端设备的速度、终端设备的时间、终端设备的移动轨迹。
步骤820,网络设备向终端设备发送分配信息。
网络设备基于终端设备的请求,为终端设备分配第三AI业务的计算任务,也即,网络设备向终端设备发送的分配信息用于为终端设备分配执行第三AI业务所需的资源。本申请实施例对分配信息的内容不作限定,在一个示例中,分配信息包括以下至少一项:AI模型信息,用于指示终端设备所使用的AI模型 的相关信息;操作参数,用于指示终端设备针对AI模型需要计算的模型部分;连接信息,用于指示终端设备执行第三AI业务时需要进行通信的其他设备。可选地,分配信息包括连接信息;如图9所示,上述步骤820之后,还包括步骤830,终端设备与连接信息指示的其他设备交互AI模型的计算结果。
示例性地,如图10所示,网络设备向终端设备发送的分配信息包括AI模型信息1032、操作参数1034和连接信息1036。其中,该连接信息1036即用于指示终端设备执行第三AI业务时需要进行通信的边缘服务器。例如,终端设备计算AI模型信息1032指示的前三层模型部分,得到中间结果,然后将中间结果发送至边缘服务器;边缘服务器计算后三层模型部分,得到计算结果,然后将计算结果发送至终端设备,以便于终端设备使用该计算结果。
为提升AI域的数据安全性,在一个示例中,终端设备向网络设备发送的第一请求包括身份令牌;上述步骤810之后,还包括:网络设备基于身份令牌,对终端设备的合法性进行认证。例如,网络设备侧存储有另一个身份令牌,在这两个身份令牌一致的情况下,通过对终端设备的合法性认证。可选地,网络设备在通过对终端设备的合法性认证的情况下,向终端设备发送分配信息。在一个示例中,上述方法还包括:网络设备基于第一请求,确定是否接受终端设备加入用于执行第三AI业务的第一域;在接受终端设备加入的情况下,向终端设备发送分配信息。例如,网络设备在本地存储有第三AI业务对应的分配信息的情况下,或者网络设备在终端设备满足第一域的划分原则的情况下,允许终端设备加入用于执行第三AI业务的第一域,本申请实施例对此不作限定。
综上所述,本申请实施例提供的技术方案,通过终端设备向网络设备请求加入用于执行特定业务的第一域的情况下,由网络设备为终端设备分配参与该特定业务的计算所需的各项资源,以便于终端设备执行该特定业务。并且,本申请实施例提供的技术方案中,网络设备在为终端设备进行资源分配前,先对终端设备的合法性进行认证,在终端设备通过合法性认证的情况下,为终端设备分配资源,提升了第一域的安全性。
需要说明的一点是,上述图6和图7实施例所提供的配置方法,可以与上述图8至图10实施例所提供的分配方法组合实施,以实现不同的终端设备按需加入第一域的目标。例如,上述图8至图10实施例所提供的分配方法,在上述图6至图7实施例所提供的配置方法之后实施。
需要说明的另一点是,本申请实施例仅以终端设备和网络设备交互的角度,对配置方法和分配方法进行介绍说明。有关图6和图7实施例所提供的配置方法中,终端设备执行的步骤,可以单独实现为终端设备侧的配置方法;有关图6和图7实施例所提供的配置方法中,网络设备执行的步骤,可以单独实现为网络设备侧的配置方法;有关图8至图10实施例中,终端设备执行的步骤,可以单独实现为终端设备侧的分配方法;有关图8至图10实施例中,网络设备执行的步骤,可以单独实现为网络设备侧的分配方法。
下述为本申请装置实施例,可以用于实现本申请方法实施例。对于本申请装置实施例中未披露的细节,请参照本申请方法实施例。
请参考图11,其示出了本申请一个实施例提供的配置装置的框图。该装置具有实现上述终端设备侧的方法示例的功能,所述功能可以通过硬件实现,也可以通过硬件执行相应的软件实现。该装置可以是上文介绍的终端设备,也可以设置在终端设备中。如图11所示,该装置1100可以包括:配置信息接收模块1110。
配置信息接收模块1110,用于接收来自于网络设备的配置信息,所述配置信息包括以下至少一项:第一AI业务的标识、所述第一AI业务对应的第一域信息;其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
在一个示例中,所述用于执行所述第一AI业务的第一域包括以下至少一项:用于执行所述第一AI业务的至少一个服务节点、各个所述服务节点对应的资源。
在一个示例中,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
在一个示例中,所述第一域信息包括以下至少一项:所述第一域的标识、加入所述第一域的条件、身份令牌。
在一个示例中,所述配置信息中还包括临时设备标识,所述临时设备标识用于所述终端设备加入用于执行所述第一AI业务的第一域。
在一个示例中,如图12所示,所述装置1100还包括:第一信息发送模块1120,用于向网络设备发送第一信息,所述第一信息包括以下至少一项:所述终端设备请求的业务的标识、所述终端设备的标识、所述终端设备的能力信息、所述终端设备的条件信息。
在一个示例中,所述终端设备请求的业务包括以下至少一项:自动驾驶业务、AR业务、VR业务。
在一个示例中,所述终端设备的标识包括以下至少一项:IMSI、GUTI、SUPI、URI的类型标识。
在一个示例中,所述终端设备的能力信息包括以下至少一项:所述终端设备的计算能力、所述终端设备的电量、所述终端设备的存储能力、所述终端设备的数据类型。
在一个示例中,所述终端设备的条件信息包括以下至少一项:所述终端设备的位置、所述终端设备的速度、所述终端设备的时间、所述终端设备的移动轨迹。
在一个示例中,所述终端设备请求的业务包括所述第一AI业务。
在一个示例中,所述第一信息承载在所述终端设备向所述网络设备发送的注册请求中;所述配置信息承载在所述网络设备向所述终端设备发送的注册响应中。
请参考图13,其示出了本申请一个实施例提供的配置装置的框图。该装置具有实现上述网络设备侧的方法示例的功能,所述功能可以通过硬件实现,也可以通过硬件执行相应的软件实现。该装置可以是上文介绍的网络设备,也可以设置在网络设备中。如图13所示,该装置1300可以包括:配置信息发送模块1310。
配置信息发送模块1310,用于向终端设备发送配置信息;所述配置信息包括以下至少一项:第一AI业务的标识、所述第一AI业务对应的第一域信息;其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
在一个示例中,所述用于执行所述第一AI业务的第一域包括以下至少一项:用于执行所述第一AI业务的至少一个服务节点、各个所述服务节点对应的资源。
在一个示例中,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
在一个示例中,所述第一域信息包括以下至少一项:所述第一域的标识、加入所述第一域的条件、身份令牌。
在一个示例中,所述配置信息中还包括临时设备标识,所述临时设备标识用于所述终端设备加入用于执行所述第一AI业务的第一域。
在一个示例中,如图14所示,所述装置1300还包括:第一信息接收模块1320,用于接收来自于所述终端设备的第一信息,所述第一信息包括以下至少一项:所述终端设备请求的业务的标识、所述终端设备的标识、所述终端设备的能力信息、所述终端设备的条件信息。
在一个示例中,所述终端设备请求的业务包括以下至少一项:自动驾驶业务、AR业务、VR业务。
在一个示例中,所述终端设备的标识包括以下至少一项:IMSI、GUTI、SUPI、URI的类型标识。
在一个示例中,所述终端设备的能力信息包括以下至少一项:所述终端设备的计算能力、所述终端设备的电量、所述终端设备的存储能力、所述终端设备的数据类型。
在一个示例中,所述终端设备的条件信息包括以下至少一项:所述终端设备的位置、所述终端设备的速度、所述终端设备的时间、所述终端设备的移动轨迹。
在一个示例中,所述终端设备请求的业务包括所述第一AI业务。
在一个示例中,所述第一信息承载在所述终端设备向所述网络设备发送的注册请求中;所述配置信息承载在所述网络设备向所述终端设备发送的注册响应中。
在一个示例中,如图14所示,所述装置1300还包括:第一域信息接收模块1330,用于接收来自于应用服务器的第二AI业务对应的第一域信息,所述第二AI业务对应的第一域信息是指与用于执行所述第二AI业务的第一域相关的信息。
在一个示例中,所述终端设备请求的业务包括所述第二AI业务。
在一个示例中,所述第二AI业务包括所述第一AI业务;或者,所述第一AI业务包括所述第二AI业务。
请参考图15,其示出了本申请一个实施例提供的分配装置的框图。该装置具有实现上述终端设备侧的方法示例的功能,所述功能可以通过硬件实现,也可以通过硬件执行相应的软件实现。该装置可以是上文介绍的终端设备,也可以设置在终端设备中。如图15所示,该装置1500可以包括:第一请求发送模块1510和分配信息接收模块1520。
第一请求发送模块1510,用于向网络设备发送第一请求,所述第一请求用于请求加入用于执行第三AI业务的第一域。
分配信息接收模块1520,用于接收来自于所述网络设备的分配信息。
在一个示例中,所述用于执行所述第三AI业务的第一域包括以下至少一项:用于执行所述第三AI业务的至少一个服务节点、各个所述服务节点对应的资源。
在一个示例中,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
在一个示例中,所述第一请求包括以下至少一项:所述终端设备的标识、临时设备标识、所述第三AI业务的标识、所述终端设备的能力信息、所述终端设备的条件信息、用于执行所述第三AI业务的第一域的标识、身份令牌。
在一个示例中,所述分配信息包括以下至少一项:AI模型信息,用于指示所述终端设备所使用的AI模型的相关信息;操作参数,用于指示所述终端设备针对AI模型需要计算的模型部分;连接信息,用于指示所述终端设备执行所述第三AI业务时需要进行通信的其他设备。
在一个示例中,所述分配信息包括连接信息;如图16所示,所述装置1500还包括:计算结果交互模块1530,用于与所述连接信息指示的其他设备交互AI模型的计算结果。
请参考图17,其示出了本申请一个实施例提供的分配装置的框图。该装置具有实现上述网络设备侧的方法示例的功能,所述功能可以通过硬件实现,也可以通过硬件执行相应的软件实现。该装置可以是上文介绍的终端设备,也可以设置在终端设备中。如图17所示,该装置1700可以包括:第一请求接收模块1710和分配信息发送模块1720。
第一请求接收模块1710,用于接收来自于终端设备的第一请求,所述第一请求用于请求加入用于执行第三AI业务的第一域。
分配信息发送模块1720,用于向所述终端设备发送分配信息。
在一个示例中,所述用于执行所述第三AI业务的第一域包括以下至少一项:用于执行所述第三AI业务的至少一个服务节点、各个所述服务节点对应的资源。
在一个示例中,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
在一个示例中,所述第一请求包括以下至少一项:所述终端设备的标识、临时设备标识、所述第三业务的标识、所述终端设备的能力信息、所述终端设备的条件信息、用于执行所述第三AI业务的第一域的标识、身份令牌。
在一个示例中,所述第一请求包括身份令牌;如图18所示,所述装置1700还包括:合法性认证模块1730,用于基于所述身份令牌,对所述终端设备的合法性进行认证。
在一个示例中,所述分配信息包括以下至少一项:AI模型信息,用于指示所述终端设备所使用的AI模型的相关信息;操作参数,用于指示所述终端设备针对AI模型需要计算的模型部分;连接信息,用于指示所述终端设备执行所述第三AI业务时需要进行通信的其他设备。
在一个示例中,如图18所示,所述装置1700还包括:设备加入确认模块1740,用于基于所述第一请求,确定是否接受所述终端设备加入用于执行所述第三AI业务的第一域;所述分配信息发送模块1720,用于在接受所述终端设备加入的情况下,向所述终端设备发送所述分配信息。
需要说明的一点是,上述实施例提供的装置在执行其功能时,仅以上述各个功能模块的划分进行举例说明,实际应用中,可以根据实际需要而将上述功能分配由不同的功能模块完成,即将设备的内容结构划分成不同的功能模块,以完成以上描述的全部或者部分功能。
关于上述实施例中的装置,其中各个模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述,此处将不做详细阐述说明。
请参考图19,其示出了本申请一个实施例提供的终端设备190的结构示意图,例如,该终端设备可以用于实现上述终端设备侧的配置方法,或者实现上述终端设备侧的分配方法。具体来讲,该终端设备190可以包括:处理器191,以及与所述处理器191相连的收发器192;其中:
处理器191包括一个或者一个以上处理核心,处理器191通过运行软件程序以及模块,从而执行各种功能应用以及信息处理。
收发器192包括接收器和发射器。可选地,收发器192是一块通信芯片。
在一个示例中,终端设备190还包括:存储器和总线。存储器通过总线与处理器相连。存储器可用于存储计算机程序,处理器用于实现该计算机程序,以实现上述方法实施例中的终端设备执行的各个步骤。
此外,存储器可以由任何类型的易失性或非易失性存储设备或者它们的组合实现,易失性或非易失性存储设备包括但不限于:RAM(Random-Access Memory,随机存储器)和ROM(Read-Only Memory,只读存储器)、EPROM(Erasable Programmable Read-Only Memory,可擦写可编程只读存储器)、EEPROM(Electrically Erasable Programmable Read-Only Memory,电可擦写可编程只读存储器)、闪存或其他固态存储其技术,CD-ROM(Compact Disc Read-Only Memory,只读光盘)、DVD(Digital Video Disc,高密度数字视频光盘)或其他光学存储、磁带盒、磁带、磁盘存储或其他磁性存储设备。
在一种可能的实施方式中,所述收发器192,用于:接收来自于网络设备的配置信息,所述配置信息包括以下至少一项:第一AI业务的标识、所述第一AI业务对应的第一域信息;其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
在一个示例中,所述用于执行所述第一AI业务的第一域包括以下至少一项:用于执行所述第一AI业务的至少一个服务节点,以及各个所述服务节点对应的资源。
在一个示例中,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
在一个示例中,所述第一域信息包括以下至少一项:所述第一域的标识、加入所述第一域的条件、身份令牌。
在一个示例中,所述配置信息中还包括临时设备标识,所述临时设备标识用于所述终端设备加入用于执行所述第一AI业务的第一域。
在一个示例中,所述收发器192,还用于:向网络设备发送第一信息,所述第一信息包括以下至少一项:所述终端设备请求的业务的标识、所述终端设备的标识、所述终端设备的能力信息、所述终端设备的条件信息。
在一个示例中,所述终端设备请求的业务包括以下至少一项:自动驾驶业务、AR业务、VR业务。
在一个示例中,所述终端设备的标识包括以下至少一项:IMSI、GUTI、SUPI、URI的类型标识。
在一个示例中,所述终端设备的能力信息包括以下至少一项:所述终端设备的计算能力、所述终端设备的电量、所述终端设备的存储能力、所述终端设备的数据类型。
在一个示例中,所述终端设备的条件信息包括以下至少一项:所述终端设备的位置、所述终端设备的速度、所述终端设备的时间、所述终端设备的移动轨迹。
在一个示例中,所述终端设备请求的业务包括所述第一AI业务。
在一个示例中,所述第一信息承载在所述终端设备向所述网络设备发送的注册请求中;所述配置信息承载在所述网络设备向所述终端设备发送的注册响应中。
在另一种可能的实施方式,所述收发器192,还用于向网络设备发送第一请求,所述第一请求用于请求加入用于执行第三AI业务的第一域;接收来自于所述网络设备的分配信息。
在一个示例中,所述用于执行所述第三AI业务的第一域包括以下至少一项:用于执行所述第三AI业务的至少一个服务节点、各个所述服务节点对应的资源。
在一个示例中,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
在一个示例中,所述第一请求包括以下至少一项:所述终端设备的标识、临时设备标识、所述第三AI业务的标识、所述终端设备的能力信息、所述终端设备的条件信息、用于执行所述第三AI业务的第一域的标识、身份令牌。
在一个示例中,所述分配信息包括以下至少一项:AI模型信息,用于指示所述终端设备所使用的AI模型的相关信息;操作参数,用于指示所述终端设备针对AI模型需要计算的模型部分;连接信息,用于指示所述终端设备执行所述第三AI业务时需要进行通信的其他设备。
在一个示例中,所述分配信息包括连接信息;所述收发器192,还用于与所述连接信息指示的其他设备交互AI模型的计算结果。
请参考图20,其示出了本申请一个实施例提供的网络设备200的结构示意图,例如,该网络设备可以用于实现上述网络设备侧的配置方法,或者执行上述网络设备侧的分配方法。具体来讲,该网络设备200可以包括:处理器201,以及与所述处理器201相连的收发器202;其中:
处理器201包括一个或者一个以上处理核心,处理器201通过运行软件程序以及模块,从而执行各种功能应用以及信息处理。
收发器202包括接收器和发射器。可选地,收发器202是一块通信芯片。
在一个示例中,网络设备200还包括:存储器和总线。存储器通过总线与处理器相连。存储器可用于存储计算机程序,处理器用于执行该计算机程序,以实现上述方法实施例中的网络设备执行的各个步骤。
此外,存储器可以由任何类型的易失性或非易失性存储设备或者它们的组合实现,易失性或非易失性存储设备包括但不限于:RAM(Random-Access Memory,随机存储器)和ROM(Read-Only Memory,只读存储器)、EPROM(Erasable Programmable Read-Only Memory,可擦写可编程只读存储器)、EEPROM(Electrically Erasable Programmable Read-Only Memory,电可擦写可编程只读存储器)、闪存或其他固态存储其技术,CD-ROM(Compact Disc Read-Only Memory,只读光盘)、DVD(Digital Video Disc,高密度数字视频光盘)或其他光学存储、磁带盒、磁带、磁盘存储或其他磁性存储设备。
在一种可能的实施方式中,所述收发器202,用于向终端设备发送配置信息;所述配置信息包括以下至少一项:第一AI业务的标识、所述第一AI业务对应的第一域信息;其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
在一个示例中,所述用于执行所述第一AI业务的第一域包括以下至少一项:用于执行所述第一AI业务的至少一个服务节点、各个所述服务节点对应的资源。
在一个示例中,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
在一个示例中,所述第一域信息包括以下至少一项:所述第一域的标识、加入所述第一域的条件、身份令牌。
在一个示例中,所述配置信息中还包括临时设备标识,所述临时设备标识用于所述终端设备加入用于执行所述第一AI业务的第一域。
在一个示例中,所述收发器202,还用于:接收来自于所述终端设备的第一信息,所述第一信息包括以下至少一项:所述终端设备请求的业务的标识、所述终端设备的标识、所述终端设备的能力信息、所述终端设备的条件信息。
在一个示例中,所述终端设备请求的业务包括以下至少一项:自动驾驶业务、AR业务、VR业务。
在一个示例中,所述终端设备的标识包括以下至少一项:IMSI、GUTI、SUPI、URI的类型标识。
在一个示例中,所述终端设备的能力信息包括以下至少一项:所述终端设备的计算能力、所述终端设备的电量、所述终端设备的存储能力、所述终端设备的数据类型。
在一个示例中,所述终端设备的条件信息包括以下至少一项:所述终端设备的位置、所述终端设备的速度、所述终端设备的时间、所述终端设备的移动轨迹。
在一个示例中,所述终端设备请求的业务包括所述第一AI业务。
在一个示例中,所述第一信息承载在所述终端设备向所述网络设备发送的注册请求中;所述配置信息承载在所述网络设备向所述终端设备发送的注册响应中。
在一个示例中,所述收发器202,还用于:接收来自于应用服务器的第二AI业务对应的第一域信息,所述第二AI业务对应的第一域信息是指与用于执行所述第二AI业务的第一域相关的信息。
在一个示例中,所述终端设备请求的业务包括所述第二AI业务。
在一个示例中,所述第二AI业务包括所述第一AI业务;或者,所述第一AI业务包括所述第二AI业务。
在另一种可能的实施方式中,所述收发器202,用于接收来自于终端设备的第一请求,所述第一请求用于请求加入用于执行第三AI业务的第一域;向所述终端设备发送分配信息。
在一个示例中,所述用于执行所述第三AI业务的第一域包括以下至少一项:用于执行所述第三AI业务的至少一个服务节点、各个所述服务节点对应的资源。
在一个示例中,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
在一个示例中,所述第一请求包括以下至少一项:所述终端设备的标识、临时设备标识、所述第三业务的标识、所述终端设备的能力信息、所述终端设备的条件信息、用于执行所述第三AI业务的第一域的标识、身份令牌。
在一个示例中,所述第一请求包括身份令牌;所述处理器201,用于基于所述身份令牌,对所述终端设备的合法性进行认证。
在一个示例中,所述分配信息包括以下至少一项:AI模型信息,用于指示所述终端设备所使用的AI模型的相关信息;操作参数,用于指示所述终端设备针对AI模型需要计算的模型部分;连接信息,用于指示所述终端设备执行所述第三AI业务时需要进行通信的其他设备。
在一个示例中,所述处理器201,用于基于所述第一请求,确定是否接受所述终端设备加入用于执行所述第三AI业务的第一域;所述收发器202,用于在接受所述终端设备加入的情况下,向所述终端设备发送所述分配信息。
本申请实施例还提供了一种计算机可读存储介质,所述存储介质中存储有计算机程序,所述计算机程序用于被终端设备的处理器执行,以实现如上述终端设备侧的配置方法。
本申请实施例还提供了一种计算机可读存储介质,所述存储介质中存储有计算机程序,所述计算机程序用于被网络设备的处理器执行,以实现如上述网络设备侧的配置方法。
本申请实施例还提供了一种计算机可读存储介质,所述存储介质中存储有计算机程序,所述计算机程序用于被终端设备的处理器执行,以实现如上述终端设备侧的分配方法。
本申请实施例还提供了一种计算机可读存储介质,所述存储介质中存储有计算机程序,所述计算机程序用于被网络设备的处理器执行,以实现如上述网络设备侧的分配方法。
本申请实施例还提供了一种芯片,所述芯片包括可编程逻辑电路和/或程序指令,当所述芯片在终端设备上运行时,用于实现如上述终端设备侧的配置方法。
本申请实施例还提供了一种芯片,所述芯片包括可编程逻辑电路和/或程序指令,当所述芯片在网络设备上运行时,用于实现如上述网络设备侧的配置方法。
本申请实施例还提供了一种芯片,所述芯片包括可编程逻辑电路和/或程序指令,当所述芯片在终端设备上运行时,用于实现如上述终端设备侧的分配方法。
本申请实施例还提供了一种芯片,所述芯片包括可编程逻辑电路和/或程序指令,当所述芯片在网络设备上运行时,用于实现如上述网络设备侧的分配方法。
本申请实施例还提供了一种计算机程序产品,当计算机程序产品在终端设备上运行时,用于实现如上述终端设备侧的配置方法。
本申请实施例还提供了一种计算机程序产品,当计算机程序产品在网络设备上运行时,用于实现如上述网络设备侧的配置方法。
本申请实施例还提供了一种计算机程序产品,当计算机程序产品在终端设备上运行时,用于实现如上述终端设备侧的分配方法。
本申请实施例还提供了一种计算机程序产品,当计算机程序产品在网络设备上运行时,用于实现如上述网络设备侧的分配方法。
本领域技术人员应该可以意识到,在上述一个或多个示例中,本申请实施例所描述的功能可以用硬件、软件、固件或它们的任意组合来实现。当使用软件实现时,可以将这些功能存储在计算机可读介质中或者作为计算机可读介质上的一个或多个指令或代码进行传输。计算机可读介质包括计算机存储介质和通信介质,其中通信介质包括便于从一个地方向另一个地方传送计算机程序的任何介质。存储介质可以是通用或专用计算机能够存取的任何可用介质。
以上所述仅为本申请的示例性实施例,并不用以限制本申请,凡在本申请的精神和原则之内,所作的任何修改、等同替换、改进等,均应包含在本申请的保护范围之内。

Claims (88)

  1. 一种配置方法,其特征在于,应用于终端设备中,所述方法包括:
    接收来自于网络设备的配置信息,所述配置信息包括以下至少一项:第一人工智能AI业务的标识所述第一AI业务对应的第一域信息;
    其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
  2. 根据权利要求1所述的方法,其特征在于,所述用于执行所述第一AI业务的第一域包括以下至少一项:用于执行所述第一AI业务的至少一个服务节点、各个所述服务节点对应的资源。
  3. 根据权利要求2所述的方法,其特征在于,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
  4. 根据权利要求1至3任一项所述的方法,其特征在于,所述第一域信息包括以下至少一项:所述第一域的标识、加入所述第一域的条件、身份令牌。
  5. 根据权利要求1至4任一项所述的方法,其特征在于,所述配置信息中还包括临时设备标识,所述临时设备标识用于所述终端设备加入用于执行所述第一AI业务的第一域。
  6. 根据权利要求1至5任一项所述的方法,其特征在于,所述接收来自于网络设备的配置信息之前,还包括:
    向所述网络设备发送第一信息,所述第一信息包括以下至少一项:所述终端设备请求的业务的标识、所述终端设备的标识、所述终端设备的能力信息、所述终端设备的条件信息。
  7. 根据权利要求6所述的方法,其特征在于,所述终端设备请求的业务包括以下至少一项:自动驾驶业务、增强现实AR业务、虚拟现实VR业务。
  8. 根据权利要求6或7所述的方法,其特征在于,所述终端设备的标识包括以下至少一项:国际移动用户识别码IMSI、全球唯一临时用户设备标识GUTI、订阅永久标识符SUPI、统一资源标识符URI的类型标识。
  9. 根据权利要求6至8任一项所述的方法,其特征在于,所述终端设备的能力信息包括以下至少一项:所述终端设备的计算能力、所述终端设备的电量、所述终端设备的存储能力、所述终端设备的数据类型。
  10. 根据权利要求6至9任一项所述的方法,其特征在于,所述终端设备的条件信息包括以下至少一项:所述终端设备的位置、所述终端设备的速度、所述终端设备的时间、所述终端设备的移动轨迹。
  11. 根据权利要求6至10任一项所述的方法,其特征在于,所述终端设备请求的业务包括所述第一AI业务。
  12. 根据权利要求6至11任一项所述的方法,其特征在于,
    所述第一信息承载在所述终端设备向所述网络设备发送的注册请求中;
    所述配置信息承载在所述网络设备向所述终端设备发送的注册响应中。
  13. 一种配置方法,其特征在于,应用于网络设备中,所述方法包括:
    向终端设备发送配置信息;所述配置信息包括以下至少一项:第一人工智能AI业务的标识、所述第一AI业务对应的第一域信息;
    其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
  14. 根据权利要求13所述的方法,其特征在于,所述用于执行所述第一AI业务的第一域包括以下至少一项:用于执行所述第一AI业务的至少一个服务节点、各个所述服务节点对应的资源。
  15. 根据权利要求14所述的方法,其特征在于,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
  16. 根据权利要求13至15任一项所述的方法,其特征在于,所述第一域信息包括以下至少一项:所述第一域的标识、加入所述第一域的条件、身份令牌。
  17. 根据权利要求13至16任一项所述的方法,其特征在于,所述配置信息中还包括临时设备标识,所述临时设备标识用于所述终端设备加入用于执行所述第一AI业务的第一域。
  18. 根据权利要求13至17任一项所述的方法,其特征在于,所述向终端设备发送配置信息之前,还包括:
    接收来自于所述终端设备的第一信息,所述第一信息包括以下至少一项:所述终端设备请求的业务的标识、所述终端设备的标识、所述终端设备的能力信息、所述终端设备的条件信息。
  19. 根据权利要求18所述的方法,其特征在于,所述终端设备请求的业务包括以下至少一项:自动驾驶业务、增强现实AR业务、虚拟现实VR业务。
  20. 根据权利要求18或19所述的方法,其特征在于,所述终端设备的标识包括以下至少一项:国际移动用户识别码IMSI、全球唯一临时用户设备标识GUTI、订阅永久标识符SUPI、统一资源标识符URI的类型标识。
  21. 根据权利要求18至20任一项所述的方法,其特征在于,所述终端设备的能力信息包括以下至少一项:所述终端设备的计算能力、所述终端设备的电量、所述终端设备的存储能力、所述终端设备的数据类型。
  22. 根据权利要求18至21任一项所述的方法,其特征在于,所述终端设备的条件信息包括以下至少一项:所述终端设备的位置、所述终端设备的速度、所述终端设备的时间、所述终端设备的移动轨迹。
  23. 根据权利要求18至22任一项所述的方法,其特征在于,所述终端设备请求的业务包括所述第一AI业务。
  24. 根据权利要求18至23任一项所述的方法,其特征在于,
    所述第一信息承载在所述终端设备向所述网络设备发送的注册请求中;
    所述配置信息承载在所述网络设备向所述终端设备发送的注册响应中。
  25. 根据权利要求18至24任一项所述的方法,其特征在于,所述接收来自于所述终端设备的第一信息之后,还包括:
    接收来自于应用服务器的第二AI业务对应的第一域信息,所述第二AI业务对应的第一域信息是指与用于执行所述第二AI业务的第一域相关的信息。
  26. 根据权利要求25所述的方法,其特征在于,所述终端设备请求的业务包括所述第二AI业务。
  27. 根据权利要求25或26所述的方法,其特征在于,
    所述第二AI业务包括所述第一AI业务;
    或者,
    所述第一AI业务包括所述第二AI业务。
  28. 一种分配方法,其特征在于,应用于终端设备中,所述方法包括:
    向网络设备发送第一请求,所述第一请求用于请求加入用于执行第三人工智能AI业务的第一域;
    接收来自于所述网络设备的分配信息。
  29. 根据权利要求28所述的方法,其特征在于,所述用于执行所述第三AI业务的第一域包括以下至少一项:用于执行所述第三AI业务的至少一个服务节点、各个所述服务节点对应的资源。
  30. 根据权利要求29所述的方法,其特征在于,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
  31. 根据权利要求28至30任一项所述的方法,其特征在于,所述第一请求包括以下至少一项:所述终端设备的标识、临时设备标识、所述第三AI业务的标识、所述终端设备的能力信息、所述终端设备的条件信息、用于执行所述第三AI业务的第一域的标识、身份令牌。
  32. 根据权利要求28至31任一项所述的方法,其特征在于,所述分配信息包括以下至少一项:
    AI模型信息,用于指示所述终端设备所使用的AI模型的相关信息;
    操作参数,用于指示所述终端设备针对AI模型需要计算的模型部分;
    连接信息,用于指示所述终端设备执行所述第三AI业务时需要进行通信的其他设备。
  33. 根据权利要求28至32任一项所述的方法,其特征在于,所述分配信息包括连接信息;所述接收来自于所述网络设备的分配信息之后,还包括:
    与所述连接信息指示的其他设备交互AI模型的计算结果。
  34. 一种分配方法,其特征在于,应用于网络设备中,所述方法包括:
    接收来自于终端设备的第一请求,所述第一请求用于请求加入用于执行第三人工智能AI业务的第一域;
    向所述终端设备发送分配信息。
  35. 根据权利要求34所述的方法,其特征在于,所述用于执行所述第三AI业务的第一域包括以下至少一项:用于执行所述第三AI业务的至少一个服务节点、各个所述服务节点对应的资源。
  36. 根据权利要求35所述的方法,其特征在于,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
  37. 根据权利要求34至36任一项所述的方法,其特征在于,所述第一请求包括以下至少一项:所述终端设备的标识、临时设备标识、所述第三业务的标识、所述终端设备的能力信息、所述终端设备的条件信息、用于执行所述第三AI业务的第一域的标识、身份令牌。
  38. 根据权利要求34至37任一项所述的方法,其特征在于,所述第一请求包括身份令牌;所述接收来自于终端设备的加入请求之后,还包括:
    基于所述身份令牌,对所述终端设备的合法性进行认证。
  39. 根据权利要求34至38任一项所述的方法,其特征在于,所述分配信息包括以下至少一项:
    AI模型信息,用于指示所述终端设备所使用的AI模型的相关信息;
    操作参数,用于指示所述终端设备针对AI模型需要计算的模型部分;
    连接信息,用于指示所述终端设备执行所述第三AI业务时需要进行通信的其他设备。
  40. 根据权利要求34至39任一项所述的方法,其特征在于,所述方法还包括:
    基于所述第一请求,确定是否接受所述终端设备加入用于执行所述第三AI业务的第一域;
    在接受所述终端设备加入的情况下,向所述终端设备发送所述分配信息。
  41. 一种配置装置,其特征在于,设置在终端设备中,所述装置包括:
    配置信息接收模块,用于接收来自于网络设备的配置信息,所述配置信息包括以下至少一项:第一人工智能AI业务的标识、所述第一AI业务对应的第一域信息;
    其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
  42. 根据权利要求41所述的装置,其特征在于,所述用于执行所述第一AI业务的第一域包括以下至少一项:用于执行所述第一AI业务的至少一个服务节点、各个所述服务节点对应的资源。
  43. 根据权利要求42所述的装置,其特征在于,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
  44. 根据权利要求41至43任一项所述的装置,其特征在于,所述第一域信息包括以下至少一项:所述第一域的标识、加入所述第一域的条件、身份令牌。
  45. 根据权利要求41至44任一项所述的装置,其特征在于,所述配置信息中还包括临时设备标识,所述临时设备标识用于所述终端设备加入用于执行所述第一AI业务的第一域。
  46. 根据权利要求41至45任一项所述的装置,其特征在于,所述装置还包括:
    第一信息发送模块,用于向网络设备发送第一信息,所述第一信息包括以下至少一项:所述终端设备请求的业务的标识、所述终端设备的标识、所述终端设备的能力信息、所述终端设备的条件信息。
  47. 根据权利要求46所述的装置,其特征在于,所述终端设备请求的业务包括以下至少一项:自动驾驶业务、增强现实AR业务、虚拟现实VR业务。
  48. 根据权利要求46或47所述的装置,其特征在于,所述终端设备的标识包括以下至少一项:国际移动用户识别码IMSI、全球唯一临时用户设备标识GUTI、订阅永久标识符SUPI、统一资源标识符URI的类型标识。
  49. 根据权利要求46至48任一项所述的装置,其特征在于,所述终端设备的能力信息包括以下至少一项:所述终端设备的计算能力、所述终端设备的电量、所述终端设备的存储能力、所述终端设备的数据类型。
  50. 根据权利要求46至49任一项所述的装置,其特征在于,所述终端设备的条件信息包括以下至少一项:所述终端设备的位置、所述终端设备的速度、所述终端设备的时间、所述终端设备的移动轨迹。
  51. 根据权利要求46至50任一项所述的装置,其特征在于,所述终端设备请求的业务包括所述第一AI业务。
  52. 根据权利要求46至51任一项所述的装置,其特征在于,
    所述第一信息承载在所述终端设备向所述网络设备发送的注册请求中;
    所述配置信息承载在所述网络设备向所述终端设备发送的注册响应中。
  53. 一种配置装置,其特征在于,设置在网络设备中,所述装置包括:
    配置信息发送模块,用于向终端设备发送配置信息;所述配置信息包括以下至少一项:第一人工智能AI业务的标识、所述第一AI业务对应的第一域信息;
    其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
  54. 根据权利要求53所述的装置,其特征在于,所述用于执行所述第一AI业务的第一域包括以下至少一项:用于执行所述第一AI业务的至少一个服务节点、各个所述服务节点对应的资源。
  55. 根据权利要求54所述的装置,其特征在于,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
  56. 根据权利要求53至55任一项所述的装置,其特征在于,所述第一域信息包括以下至少一项:所述第一域的标识、加入所述第一域的条件、身份令牌。
  57. 根据权利要求53至56任一项所述的装置,其特征在于,所述配置信息中还包括临时设备标识,所述临时设备标识用于所述终端设备加入用于执行所述第一AI业务的第一域。
  58. 根据权利要求53至57任一项所述的装置,其特征在于,所述装置还包括:
    第一信息接收模块,用于接收来自于所述终端设备的第一信息,所述第一信息包括以下至少一项:所 述终端设备请求的业务的标识、所述终端设备的标识、所述终端设备的能力信息、所述终端设备的条件信息。
  59. 根据权利要求58所述的装置,其特征在于,所述终端设备请求的业务包括以下至少一项:自动驾驶业务、增强现实AR业务、虚拟现实VR业务。
  60. 根据权利要求58或59所述的装置,其特征在于,所述终端设备的标识包括以下至少一项:国际移动用户识别码IMSI、全球唯一临时用户设备标识GUTI、订阅永久标识符SUPI、统一资源标识符URI的类型标识。
  61. 根据权利要求58至60任一项所述的装置,其特征在于,所述终端设备的能力信息包括以下至少一项:所述终端设备的计算能力、所述终端设备的电量、所述终端设备的存储能力、所述终端设备的数据类型。
  62. 根据权利要求58至61任一项所述的装置,其特征在于,所述终端设备的条件信息包括以下至少一项:所述终端设备的位置、所述终端设备的速度、所述终端设备的时间、所述终端设备的移动轨迹。
  63. 根据权利要求58至62任一项所述的装置,其特征在于,所述终端设备请求的业务包括所述第一AI业务。
  64. 根据权利要求58至63任一项所述的装置,其特征在于,
    所述第一信息承载在所述终端设备向所述网络设备发送的注册请求中;
    所述配置信息承载在所述网络设备向所述终端设备发送的注册响应中。
  65. 根据权利要求58至64任一项所述的装置,其特征在于,所述装置还包括:
    第一域信息接收模块,用于接收来自于应用服务器的第二AI业务对应的第一域信息,所述第二AI业务对应的第一域信息是指与用于执行所述第二AI业务的第一域相关的信息。
  66. 根据权利要求65所述的装置,其特征在于,所述终端设备请求的业务包括所述第二AI业务。
  67. 根据权利要求65或66所述的装置,其特征在于,
    所述第二AI业务包括所述第一AI业务;
    或者,
    所述第一AI业务包括所述第二AI业务。
  68. 一种分配装置,其特征在于,设置在终端设备中,所述装置包括:
    第一请求发送模块,用于向网络设备发送第一请求,所述第一请求用于请求加入用于执行第三人工智能AI业务的第一域;
    分配信息接收模块,用于接收来自于所述网络设备的分配信息。
  69. 根据权利要求68所述的装置,其特征在于,所述用于执行所述第三AI业务的第一域包括以下至少一项:用于执行所述第三AI业务的至少一个服务节点、各个所述服务节点对应的资源。
  70. 根据权利要求69所述的装置,其特征在于,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
  71. 根据权利要求68至70任一项所述的装置,其特征在于,所述第一请求包括以下至少一项:所述终端设备的标识、临时设备标识、所述第三AI业务的标识、所述终端设备的能力信息、所述终端设备的条件信息、用于执行所述第三AI业务的第一域的标识、身份令牌。
  72. 根据权利要求68至71任一项所述的装置,其特征在于,所述分配信息包括以下至少一项:
    AI模型信息,用于指示所述终端设备所使用的AI模型的相关信息;
    操作参数,用于指示所述终端设备针对AI模型需要计算的模型部分;
    连接信息,用于指示所述终端设备执行所述第三AI业务时需要进行通信的其他设备。
  73. 根据权利要求68至72任一项所述的装置,其特征在于,所述分配信息包括连接信息;所述装置还包括:
    计算结果交互模块,用于与所述连接信息指示的其他设备交互AI模型的计算结果。
  74. 一种分配装置,其特征在于,设置在网络设备中,所述装置包括:
    第一请求接收模块,用于接收来自于终端设备的第一请求,所述第一请求用于请求加入用于执行第三人工智能AI业务的第一域;
    分配信息发送模块,用于向所述终端设备发送分配信息。
  75. 根据权利要求74所述的装置,其特征在于,所述用于执行所述第三AI业务的第一域包括以下至少一项:用于执行所述第三AI业务的至少一个服务节点、各个所述服务节点对应的资源。
  76. 根据权利要求75所述的装置,其特征在于,所述服务节点对应的资源包括以下至少一项:存储和/或使用的模型、数据资源、计算资源、通信资源。
  77. 根据权利要求74至76任一项所述的装置,其特征在于,所述第一请求包括以下至少一项:所述终端设备的标识、临时设备标识、所述第三业务的标识、所述终端设备的能力信息、所述终端设备的条件信息、用于执行所述第三AI业务的第一域的标识、身份令牌。
  78. 根据权利要求74至77任一项所述的装置,其特征在于,所述第一请求包括身份令牌;所述装置还包括:
    合法性认证模块,用于基于所述身份令牌,对所述终端设备的合法性进行认证。
  79. 根据权利要求74至78任一项所述的装置,其特征在于,所述分配信息包括以下至少一项:
    AI模型信息,用于指示所述终端设备所使用的AI模型的相关信息;
    操作参数,用于指示所述终端设备针对AI模型需要计算的模型部分;
    连接信息,用于指示所述终端设备执行所述第三AI业务时需要进行通信的其他设备。
  80. 根据权利要求74至79任一项所述的装置,其特征在于,所述装置还包括:
    设备加入确认模块,用于基于所述第一请求,确定是否接受所述终端设备加入用于执行所述第三AI业务的第一域;
    所述分配信息发送模块,用于在接受所述终端设备加入的情况下,向所述终端设备发送所述分配信息。
  81. 一种终端设备,其特征在于,所述终端设备包括:处理器,以及与所述处理器相连的收发器;其中:
    所述收发器,用于接收来自于网络设备的配置信息,所述配置信息包括以下至少一项:第一人工智能AI业务的标识、所述第一AI业务对应的第一域信息;
    其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
  82. 一种网络设备,其特征在于,所述网络设备包括:处理器,以及与所述处理器相连的收发器;其中:
    所述收发器,用于向终端设备发送配置信息;所述配置信息包括以下至少一项:第一人工智能AI业务的标识、所述第一AI业务对应的第一域信息;
    其中,所述第一AI业务对应的第一域信息是指与用于执行所述第一AI业务的第一域相关的信息。
  83. 一种终端设备,其特征在于,所述终端设备包括:处理器,以及与所述处理器相连的收发器;其中:
    所述收发器,用于向网络设备发送第一请求,所述第一请求用于请求加入用于执行第三人工智能AI业务的第一域;
    所述收发器,用于接收来自于所述网络设备的分配信息。
  84. 一种网络设备,其特征在于,所述网络设备包括:处理器,以及与所述处理器相连的收发器;其中:
    所述收发器,用于接收来自于终端设备的第一请求,所述第一请求用于请求加入用于执行第三人工智能AI业务的第一域;
    所述收发器,用于向所述终端设备发送分配信息。
  85. 一种计算机可读存储介质,其特征在于,所述存储介质中存储有计算机程序,所述计算机程序用于被终端设备的处理器执行,以实现如权利要求1至12任一项所述的配置方法。
  86. 一种计算机可读存储介质,其特征在于,所述存储介质中存储有计算机程序,所述计算机程序用于被网络设备的处理器执行,以实现如权利要求13至27任一项所述的配置方法。
  87. 一种计算机可读存储介质,其特征在于,所述存储介质中存储有计算机程序,所述计算机程序用于被终端设备的处理器执行,以实现如权利要求28至33任一项所述的分配方法。
  88. 一种计算机可读存储介质,其特征在于,所述存储介质中存储有计算机程序,所述计算机程序用于被网络设备的处理器执行,以实现如权利要求34至40任一项所述的分配方法。
PCT/CN2021/093964 2021-05-14 2021-05-14 配置方法、分配方法、装置、设备及存储介质 Ceased WO2022236840A1 (zh)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024168917A1 (zh) * 2023-02-17 2024-08-22 北京小米移动软件有限公司 一种ai模型的注册方法/装置/设备及存储介质
WO2024197689A1 (zh) * 2023-03-30 2024-10-03 华为技术有限公司 一种通信方法及相关设备
WO2025000301A1 (zh) * 2023-06-28 2025-01-02 华为技术有限公司 一种通信方法及装置
WO2025087249A1 (zh) * 2023-10-26 2025-05-01 华为技术有限公司 一种通信方法、相关设备及系统
WO2025223119A1 (zh) * 2024-04-26 2025-10-30 华为技术有限公司 一种通信方法及相关装置

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200228948A1 (en) * 2017-06-09 2020-07-16 Convida Wireless, Llc Efficient vehicular services
CN111954206A (zh) * 2019-05-17 2020-11-17 株式会社Ntt都科摩 终端和基站
CN112435468A (zh) * 2020-11-09 2021-03-02 腾讯科技(深圳)有限公司 车辆分流方法及装置
CN112712504A (zh) * 2020-12-30 2021-04-27 广东粤云工业互联网创新科技有限公司 基于云端的工件检测方法及系统、计算机可读存储介质

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106470413B (zh) * 2015-08-14 2021-07-30 中兴通讯股份有限公司 多载波中邻近业务的处理方法及装置
KR20190075960A (ko) * 2016-11-11 2019-07-01 광동 오포 모바일 텔레커뮤니케이션즈 코포레이션 리미티드 단말기 디바이스의 스케줄링 방법, 네트워크 디바이스 및 단말기 디바이스
WO2020160764A1 (en) * 2019-02-06 2020-08-13 Telefonaktiebolaget Lm Ericsson (Publ) Migration of computational service
WO2021196011A1 (zh) * 2020-03-31 2021-10-07 华为技术有限公司 一种终端设备标识的获取方法、装置及系统
CN111819872B (zh) * 2020-06-03 2023-08-22 北京小米移动软件有限公司 信息传输方法、装置、通信设备及存储介质
US11588907B2 (en) * 2020-08-21 2023-02-21 Huawei Technologies Co., Ltd. System and methods for supporting artificial intelligence service in a network
KR102244419B1 (ko) * 2020-11-10 2021-04-27 옴니스랩스 주식회사 사용자 참여 기반의 인공 지능 서비스 방법 및 이러한 방법을 수행하는 장치
EP4340300A4 (en) * 2021-05-10 2025-02-26 Beijing Xiaomi Mobile Software Co., Ltd. MODEL INFERENCE METHOD, MODEL INFERENCE APPARATUS, AND STORAGE MEDIUM

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20200228948A1 (en) * 2017-06-09 2020-07-16 Convida Wireless, Llc Efficient vehicular services
CN111954206A (zh) * 2019-05-17 2020-11-17 株式会社Ntt都科摩 终端和基站
CN112435468A (zh) * 2020-11-09 2021-03-02 腾讯科技(深圳)有限公司 车辆分流方法及装置
CN112712504A (zh) * 2020-12-30 2021-04-27 广东粤云工业互联网创新科技有限公司 基于云端的工件检测方法及系统、计算机可读存储介质

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of EP4340420A4 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2024168917A1 (zh) * 2023-02-17 2024-08-22 北京小米移动软件有限公司 一种ai模型的注册方法/装置/设备及存储介质
WO2024197689A1 (zh) * 2023-03-30 2024-10-03 华为技术有限公司 一种通信方法及相关设备
WO2025000301A1 (zh) * 2023-06-28 2025-01-02 华为技术有限公司 一种通信方法及装置
WO2025087249A1 (zh) * 2023-10-26 2025-05-01 华为技术有限公司 一种通信方法、相关设备及系统
WO2025223119A1 (zh) * 2024-04-26 2025-10-30 华为技术有限公司 一种通信方法及相关装置

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