WO2024031582A1 - 通信方法、装置、存储介质及芯片 - Google Patents

通信方法、装置、存储介质及芯片 Download PDF

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Publication number
WO2024031582A1
WO2024031582A1 PCT/CN2022/111927 CN2022111927W WO2024031582A1 WO 2024031582 A1 WO2024031582 A1 WO 2024031582A1 CN 2022111927 W CN2022111927 W CN 2022111927W WO 2024031582 A1 WO2024031582 A1 WO 2024031582A1
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WIPO (PCT)
Prior art keywords
information
positioning
terminal
model
management function
Prior art date
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Ceased
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PCT/CN2022/111927
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English (en)
French (fr)
Inventor
李小龙
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Xiaomi Mobile Software Co Ltd
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Beijing Xiaomi Mobile Software Co Ltd
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Priority to EP22954548.8A priority Critical patent/EP4572439A4/en
Priority to CN202280002688.XA priority patent/CN117882453A/zh
Priority to PCT/CN2022/111927 priority patent/WO2024031582A1/zh
Publication of WO2024031582A1 publication Critical patent/WO2024031582A1/zh
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/0009—Transmission of position information to remote stations
    • G01S5/0018—Transmission from mobile station to base station
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S5/00—Position-fixing by co-ordinating two or more direction or position line determinations; Position-fixing by co-ordinating two or more distance determinations
    • G01S5/0009—Transmission of position information to remote stations
    • G01S5/0045—Transmission from base station to mobile station

Definitions

  • the present disclosure relates to the field of communication technology, and specifically, to a communication method, device, storage medium and chip.
  • AI Artificial Intelligence
  • the present disclosure provides a communication method, device, storage medium and chip.
  • a communication method is provided, applied to a terminal, and the method includes;
  • a communication method which is applied to a positioning management function device, and the method includes:
  • the positioning performance of the AI model deployed by the terminal is determined.
  • a communication device applied to a terminal, and the device includes:
  • the first sending module is configured to send first information to the positioning management function device, where the first information is used to determine the positioning performance of the AI model deployed by the terminal.
  • a communication device which is applied to positioning management function equipment, and the device includes:
  • the third receiving module is configured to receive the first information sent by the terminal
  • the determining module is configured to determine the positioning performance of the AI model deployed by the terminal according to the first information.
  • a communication device including:
  • Memory used to store instructions executable by the processor
  • the processor is configured to perform the steps of the communication method provided by the first aspect of the present disclosure.
  • a communication device including:
  • Memory used to store instructions executable by the processor
  • the processor is configured to perform the steps of the communication method provided by the second aspect of the present disclosure.
  • a computer-readable storage medium on which computer program instructions are stored.
  • the steps of the communication method provided by the first aspect of the present disclosure are implemented.
  • a computer-readable storage medium on which computer program instructions are stored.
  • the steps of the communication method provided by the second aspect of the present disclosure are implemented.
  • a chip including: a processor and an interface; the processor is used to read instructions to execute the steps of the communication method provided in the first aspect of the present disclosure,
  • a chip including: a processor and an interface; the processor is configured to read instructions to execute the steps of the communication method provided in the second aspect of the present disclosure.
  • FIG. 1 is a schematic diagram of a communication system according to an exemplary embodiment.
  • Figure 2 is a flow chart of a communication method according to an exemplary embodiment.
  • Figure 3 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 4 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 5 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 6 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 7 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 8 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 9 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 10 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 11 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 12 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 13 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 14 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 15 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 16 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 17 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 18 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 19 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 20 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 21 is a flowchart of another communication method according to an exemplary embodiment.
  • Figure 22 is a block diagram of a communication device according to an exemplary embodiment.
  • Figure 23 is a block diagram of a communication device according to an exemplary embodiment.
  • Figure 24 is a block diagram of a communication device according to an exemplary embodiment.
  • Figure 25 is a block diagram of a communication device according to an exemplary embodiment.
  • plural refers to two or more than two, and other quantifiers are similar; “at least one of the following”, “one or more” “Item (items)” or similar expressions refer to any combination of these items (items), including any combination of single items (items) or plural items (items).
  • one or more items in a, b, or c can mean: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single, It can also be multiple; "and/or" is an association relationship that describes associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A exists alone, A and B exist simultaneously, alone There are three cases of B, where A and B can be singular or plural.
  • the technical solutions of the embodiments of this application can be applied to various communication systems.
  • the communication system may include one or more of a 4G (the 4th Generation, fourth generation) communication system, a 5G (the 5th Generation, the fifth generation) communication system, and other future wireless communication systems (such as 6G).
  • the communication system may also include Public Land Mobile Network (PLMN) network, non-terrestrial network communication system, Device-to-Device (D2D) communication system, Machine to Machine (Machine to Machine) , M2M) communication system, Internet of Things (IoT) communication system, Vehicle-to-Everything (V2X) communication system or one or more of other communication systems.
  • PLMN Public Land Mobile Network
  • D2D Device-to-Device
  • M2M Machine to Machine
  • IoT Internet of Things
  • V2X Vehicle-to-Everything
  • FIG. 1 is a schematic diagram of a communication system according to an exemplary embodiment.
  • the communication system may include a terminal 101 and a positioning management function device 102.
  • the communication system can be used to support 4G (the 4th Generation, fourth generation) network access technology, such as Long Term Evolution (LTE) access technology, or 5G (the 5th Generation, the fifth generation) network access technology.
  • Access technologies such as New Radio Access Technology (New RAT), or other future wireless communication technologies.
  • the number of the above-mentioned terminals or positioning management function devices can be one or more.
  • the number of terminals and positioning management function devices in the communication system shown in Figure 1 is only one embodiment. Examples of adaptability are not limited in this disclosure.
  • the terminal in Figure 1 can be an electronic device that provides voice or data connectivity.
  • it can also be called user equipment (User Equipment, UE), subscriber unit (Subscriber Unit), mobile station (Mobile Station), and station (Station). ), terminal equipment, etc.
  • the terminal may include a smartphone, a smart wearable device, a smart speaker, a smart tablet, a wireless modem (modem), a wireless local loop (Wireless Local Loop, WLL) station, or a PDA (Personal Digital Assistant).
  • CPE Customer Premise Equipment, customer terminal equipment
  • devices that can access the communication system, communicate with the base station of the communication system, or communicate with other objects through the communication system can be terminals in the embodiments of the present disclosure, for example, in intelligent transportation terminals and cars, household equipment in smart homes, power meter reading instruments in smart grids, voltage monitoring instruments, environmental monitoring instruments, video monitoring instruments in smart security networks, cash registers, etc.
  • the base station in Figure 1 can also be called access network equipment.
  • the positioning management function device in Figure 1 can be used to provide positioning management functions.
  • the positioning device may include: Location Management Function (LMF), Location Management Component (LMC), or a network device deployed with LMF or LMC.
  • LMF Location Management Function
  • LMC Location Management Component
  • the positioning device may be deployed with LMF.
  • the core network equipment, or the access network equipment where the LMC is deployed, or any network equipment with positioning function, is not limited in this disclosure.
  • communication between the terminal and the positioning management function device may be carried out through a base station (not shown in Figure 1).
  • Figure 2 illustrates a communication method according to an exemplary embodiment, which can be applied to terminals in the above communication system. As shown in Figure 2, the method may include:
  • S210 Send first information to the positioning management function device.
  • the first information is used to determine the positioning performance of the AI model deployed by the terminal.
  • S220 Receive the positioning performance of the AI model sent by the positioning management function device.
  • the terminal can send the first information for determining the positioning performance of the AI model deployed by the terminal to the positioning management function device.
  • the positioning management function device can determine the positioning performance of the AI model deployed by the terminal based on the first information. Then, positioning The management function device can then send the determined positioning performance of the AI model to the terminal, so that the terminal can obtain the positioning performance of the deployed AI model.
  • the terminal can perform subsequent processing. For example, when it is determined that the positioning performance does not meet the requirements, the AI model parameters can be updated. For example, the deployed AI model can be updated.
  • the AI model is used to determine the location information of the terminal or to determine the positioning measurement value of the terminal.
  • the first information includes at least one of first sub-information, second sub-information, third sub-information and fourth sub-information
  • the first sub-information includes the location information of the terminal determined based on the AI model and the location information based on the AI model.
  • the position information of the terminal determined by the traditional positioning algorithm includes the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm
  • the third sub-information includes the position information characterizing the terminal determined based on the AI model
  • the fourth sub-information includes information characterizing the difference between the positioning measurement value of the terminal determined based on the AI model and the positioning measurement value of the terminal determined based on the traditional positioning algorithm. information.
  • an AI model used to determine the location information of the terminal may be deployed on the terminal, or an AI model used to determine the detected positioning measurement value of the terminal may be deployed on the terminal.
  • traditional positioning algorithms can also be deployed on the terminal, such as DL-TDOA, multi-RTT, DL-AOD or E-CID positioning algorithms.
  • the terminal can determine the location information of the terminal based on the AI model and the traditional positioning algorithm based on the deployment of the AI model and the traditional positioning algorithm, thereby obtaining the first sub-information, or determine the positioning measurement based on the AI model. value and determine the positioning measurement value based on the traditional positioning algorithm, thereby obtaining the second sub-information.
  • the positioning measurement value can be, for example, the arrival time difference of the reference signal (Reference Signal Time Difference, RSTD), the reference signal received power (Reference Signal Received Power, RSRP), and the positioning reference signal received path power (Reference signal Received Path Power, RSRPP). etc., which is determined based on the traditional positioning algorithm deployed.
  • RSTD Reference Signal Time Difference
  • RSRP Reference Signal Received Power
  • RSRPP positioning reference signal received path power
  • the terminal determines the location information of the terminal based on the AI model and the location information of the terminal based on the traditional positioning algorithm, it can further determine the relationship between the location information of the terminal determined based on the AI model and the location information of the terminal determined based on the traditional positioning algorithm. difference information, thereby obtaining the third sub-information.
  • the distance between the location information of the terminal determined based on the AI model and the location information of the terminal determined based on the traditional positioning algorithm may be determined as information representing the difference.
  • the terminal determines the positioning measurement value based on the AI model and determines the positioning measurement value based on the traditional positioning algorithm, it can further determine the relationship between the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm. difference information, thereby obtaining the fourth sub-information.
  • the difference between the positioning measurement value of the terminal determined based on the AI model and the positioning measurement value of the terminal determined based on the traditional positioning algorithm may be determined as information representing the difference.
  • the first information sent by the terminal may at least simultaneously include fields recording the first sub-information, the second sub-information, the third sub-information and the fourth sub-information. Therefore, when it is necessary to send the positioning management function device which When sub-information is entered, the corresponding fields are enabled to fill in the corresponding sub-information.
  • each location information included in the first sub-information is associated with a first identifier, and the first identifier indicates the positioning algorithm used when determining the location information.
  • a first identifier used to represent that the location information is determined by the AI model may be added to the location information determined by the AI model.
  • a first identifier used to represent that the location information is determined by the DL-TDOA positioning algorithm may be added to the location information determined by the DL-TDOA positioning algorithm.
  • the positioning measurement value determined based on the AI model included in the second sub-information is associated with a second identifier, and the second identifier indicates that the positioning measurement value is based on the AI model. Positioning measurements determined by the model.
  • the second identifier may only be associated with the positioning measurement value determined based on the AI model included in the second sub-information.
  • positioning performance can reflect whether the AI model meets the requirements. Therefore, in some embodiments, receiving the positioning performance of the AI model sent by the positioning management function device includes:
  • Receive information sent by the positioning management function device indicating whether the AI model meets the preset positioning accuracy, or receive information sent by the positioning management function device instructing the terminal to stop using the AI model, or receive information sent by the positioning management function device instructing the terminal to stop changing the AI model. information, or receive information sent by the positioning management function device instructing the terminal to update AI model parameters.
  • any one of the information indicating whether the AI model meets the preset positioning accuracy, the information instructing the terminal to stop using the AI model, the information instructing the terminal to stop replacing the AI model, and the information instructing the terminal to update the AI model parameters, Both can reflect whether the AI model meets the requirements.
  • Figure 3 illustrates a communication method according to an exemplary embodiment. This communication method is applied to the terminal.
  • the method may include:
  • S310 Send first information to the positioning management function device.
  • the first information is used to determine the positioning performance of the AI model deployed by the terminal.
  • the terminal can send the first information for determining the positioning performance of the AI model deployed by the terminal to the positioning management function device, and the positioning management function device can determine the positioning performance of the AI model deployed by the terminal based on the first information.
  • the first information includes at least one of first sub-information, second sub-information, third sub-information and fourth sub-information
  • the first sub-information includes the location information of the terminal determined based on the AI model and the location information based on the AI model.
  • the position information of the terminal determined by the traditional positioning algorithm includes the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm
  • the third sub-information includes the position information characterizing the terminal determined based on the AI model
  • the fourth sub-information includes information characterizing the difference between the positioning measurement value of the terminal determined based on the AI model and the positioning measurement value of the terminal determined based on the traditional positioning algorithm. information.
  • each piece of location information included in the first sub-information is associated with a first identifier, and the first identifier indicates the positioning algorithm used when determining the location information.
  • the positioning measurement value determined based on the AI model included in the second sub-information is associated with the second identification, and the second identification indicates the positioning measurement value determined based on the AI model.
  • the terminal may send the first information to the location management function device through an LPP message.
  • the terminal may send the first information for determining the positioning performance of the AI model deployed by the terminal to the positioning management function device in response to the first request sent by the positioning management function device.
  • Figure 4 illustrates a communication method according to an exemplary embodiment. This communication method is applied to the terminal, as shown in Figure 3.
  • the method may include:
  • S410 Receive the positioning performance of the AI model sent by the positioning management function device.
  • the terminal can obtain the positioning performance of its deployed AI model from the positioning management function device.
  • the positioning performance of the AI model sent by the positioning management function to the terminal can be obtained in a variety of ways.
  • the location management function device may analyze and process the first information after receiving the first information sent by the terminal.
  • it may also be the positioning performance of the terminal obtained by the positioning management function device from an external application.
  • Figure 5 illustrates a communication method according to an exemplary embodiment. This communication method is applied to the terminal, as shown in Figure 5.
  • the method may include:
  • S510 Receive the first request sent by the positioning management function device.
  • S520 In response to the first request, send first information to the positioning management function device, where the first information is used to determine the positioning performance of the AI model deployed by the terminal.
  • the terminal can send information for determining the positioning performance of the AI model deployed by the terminal to the positioning management function device according to the request sent by the positioning management function device.
  • the first request may include information indicating the content of the specific request.
  • the first request may include information for instructing the terminal to provide at least one of first sub-information, second sub-information, third sub-information and fourth sub-information.
  • the terminal may receive the first request sent by the positioning management function device through an LPP message. That is, the positioning management function device may send an LPP message to the terminal, where the LPP message includes the first request.
  • the LPP message used to send the first request may be an LPP location information request message.
  • the first information includes at least one of first sub-information, second sub-information, third sub-information and fourth sub-information
  • the first sub-information includes the location information of the terminal determined based on the AI model and the location information based on the AI model.
  • the position information of the terminal determined by the traditional positioning algorithm includes the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm
  • the third sub-information includes the position information characterizing the terminal determined based on the AI model
  • the fourth sub-information includes information characterizing the difference between the positioning measurement value of the terminal determined based on the AI model and the positioning measurement value of the terminal determined based on the traditional positioning algorithm. information.
  • each piece of location information included in the first sub-information is associated with a first identifier, and the first identifier indicates the positioning algorithm used when determining the location information.
  • the positioning measurement value determined based on the AI model included in the second sub-information is associated with the second identification, and the second identification indicates the positioning measurement value determined based on the AI model.
  • the terminal may send the first information to the location management function device through an LPP message.
  • receiving the positioning performance of the AI model sent by the positioning management function device includes:
  • Receive information sent by the positioning management function device indicating whether the AI model meets the preset positioning accuracy, or receive information sent by the positioning management function device instructing the terminal to stop using the AI model, or receive information sent by the positioning management function device instructing the terminal to stop changing the AI model. information, or receive information sent by the positioning management function device instructing the terminal to update AI model parameters.
  • the method of the embodiment of the present disclosure may further include the step of receiving the positioning performance of the AI model sent by the positioning management function device.
  • the positioning management function device can send the positioning performance of the AI model to the terminal, thereby facilitating the terminal to learn the positioning performance of the deployed AI model.
  • step of receiving the positioning performance of the AI model sent by the positioning management function device may be included in step S510, that is, the first request and the positioning performance of the AI model may be sent simultaneously through the same message. Positioning performance.
  • Figure 6 illustrates a communication method according to an exemplary embodiment. This communication method is applied to the terminal, as shown in Figure 6.
  • the method may include:
  • S610 Send the first information to the positioning management function device through the LPP message.
  • the first information is used to determine the positioning performance of the AI model deployed by the terminal.
  • the terminal may send an LPP message to the positioning management function device, where the LPP message includes the first information.
  • the terminal can send information used to determine the positioning performance of the AI model deployed by the terminal to the positioning management function device through an LPP message.
  • the LPP message used to send the first information may be an LPP location information response message.
  • the terminal may send information for determining the positioning performance of the AI model deployed by the terminal to the positioning management function device according to a request sent by the positioning management function device.
  • the first information includes at least one of first sub-information, second sub-information, third sub-information and fourth sub-information
  • the first sub-information includes the location information of the terminal determined based on the AI model and the location information based on the AI model.
  • the position information of the terminal determined by the traditional positioning algorithm includes the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm
  • the third sub-information includes the position information characterizing the terminal determined based on the AI model
  • the fourth sub-information includes information characterizing the difference between the positioning measurement value of the terminal determined based on the AI model and the positioning measurement value of the terminal determined based on the traditional positioning algorithm. information.
  • each piece of location information included in the first sub-information is associated with a first identifier, and the first identifier indicates the positioning algorithm used when determining the location information.
  • the positioning measurement value determined based on the AI model included in the second sub-information is associated with the second identification, and the second identification indicates the positioning measurement value determined based on the AI model.
  • receiving the positioning performance of the AI model sent by the positioning management function device includes:
  • Receive information sent by the positioning management function device indicating whether the AI model meets the preset positioning accuracy, or receive information sent by the positioning management function device instructing the terminal to stop using the AI model, or receive information sent by the positioning management function device instructing the terminal to stop changing the AI model. information, or receive information sent by the positioning management function device instructing the terminal to update AI model parameters.
  • the method of the embodiment of the present disclosure may further include the step of receiving the positioning performance of the AI model sent by the positioning management function device.
  • Figure 7 illustrates a communication method according to an exemplary embodiment. This communication method is applied to the terminal.
  • the method may include:
  • S710 Receive the second information sent by the positioning management function device for updating the parameters of the AI model.
  • S720 Send first information to the positioning management function device, where the first information is used to determine the positioning performance of the AI model deployed by the terminal.
  • the positioning management function device may send second information for updating the parameters of the AI model to the terminal, so that the terminal may receive the second information sent by the positioning management function device.
  • the method of the embodiment of the present disclosure may further include the step of receiving the positioning performance of the AI model sent by the positioning management function device.
  • the positioning management function device can send the positioning performance of the AI model to the terminal, thereby facilitating the terminal to learn the positioning performance of the deployed AI model.
  • the step of receiving the positioning performance of the AI model sent by the positioning management function device may be included in step S710. That is, in some cases, the second positioning performance may be sent simultaneously through the same message. information and the positioning performance of the AI model.
  • the AI model is an AI model to be trained, such as an initial AI model, that is, the AI model needs to be trained with sample data before being deployed and used. Therefore, in some implementations, the terminal receives the positioning management function After the second information is sent by the device, the second information can be used to train the AI model to be trained, that is, the second information can be used to update the parameters of the AI model to be trained, thereby obtaining the AI model deployed by the terminal. After obtaining the AI model deployed by the terminal, corresponding data can be calculated based on the AI model to form the first information, so that the terminal can subsequently send the first information to the positioning management function device.
  • the performance may not meet the actual use requirements according to different actual use requirements.
  • the deployed AI can be modified. Model parameters are optimized and updated. Therefore, in other embodiments, after receiving the second information sent by the positioning management function device, the second information can be used to optimize and update the parameters of the AI model deployed by the terminal, that is, the second information can be used to update the deployed AI model. The parameters are updated to obtain the AI model with updated parameters deployed by the terminal.
  • the timing at which the terminal receives the second information sent by the positioning management function device for updating the parameters of the AI model is not limited. For example, it may be received before sending the first information to the positioning management function device. For example, it may also be received while receiving the positioning performance of the AI model sent by the positioning management function device, or while receiving the AI model sent by the positioning management function device. positioning performance is received.
  • the timing of the positioning management function device sending the second information is not limited.
  • the positioning management function device can send the second information to the terminal before the terminal sends the first information to the positioning management function device.
  • the positioning management function device can send the second information to the terminal. The device may send the second information to the terminal after receiving the first information sent by the terminal and determining based on the first information that the positioning performance of the terminal does not meet the requirements.
  • the second information includes the correspondence between the positioning measurement value and the location information of the terminal, the correspondence between the positioning measurement value determined based on the traditional positioning algorithm and the positioning measurement value determined based on the AI model, the channel impulse response At least one of the correspondence relationship between the positioning measurement value and the correspondence relationship between the channel impulse response and the location information of the terminal.
  • the trained AI model uses the positioning measurement value as input and the terminal's location information as output when used.
  • the trained AI model is used based on the positioning measurement value determined based on the traditional positioning algorithm.
  • Input, the positioning measurement value determined based on the AI model is the output.
  • the trained AI model uses the channel impulse response as the input and the terminal's location information as the output when used.
  • the trained AI model uses the channel impulse response as the input and the positioning measurement value as the output when used.
  • step S720 in the embodiment of the present disclosure, reference can be made to the foregoing embodiments, which will not be described again here.
  • Figure 8 illustrates a communication method according to an exemplary embodiment. This communication method is applied to the terminal, as shown in Figure 8.
  • the method may include:
  • S810 Receive the second information sent by the positioning management function device for updating the parameters of the AI model.
  • the terminal can receive the second information sent by the positioning management function device for updating the parameters of the AI model, so that the terminal can subsequently update the parameters of the AI model.
  • the timing of updating the parameters of the AI model and the timing of receiving the second information may refer to the aforementioned embodiments, and will not be described again here.
  • Figure 9 illustrates a communication method according to an exemplary embodiment. This communication method is applied to the terminal.
  • the method may include:
  • S910 Receive the second information sent by the positioning management function device through the LPP message for updating the parameters of the AI model.
  • S920 Send first information to the positioning management function device, where the first information is used to determine the positioning performance of the AI model deployed by the terminal.
  • the positioning management function device may send an LPP message to the terminal, where the LPP message includes the second information. That is, using the above method, the second information sent by the positioning management function device can be received through the LPP message.
  • the LPP message used to send the second information may be an LPP assistance information response message.
  • the second information includes the correspondence between the positioning measurement value and the location information of the terminal, the correspondence between the positioning measurement value determined based on the traditional positioning algorithm and the positioning measurement value determined based on the AI model, the channel impulse response At least one of the correspondence relationship between the positioning measurement value and the correspondence relationship between the channel impulse response and the location information of the terminal.
  • step S920 in the embodiments of the present disclosure, reference can be made to the foregoing embodiments, which will not be described again here.
  • the method of the embodiment of the present disclosure may further include the step of receiving the positioning performance of the AI model sent by the positioning management function device.
  • the step of receiving the positioning performance of the AI model sent by the positioning management function device may be included in step S910. That is, in some cases, the third positioning performance may be sent simultaneously through the same LPP message. 2. Information and positioning performance of the AI model.
  • Figure 10 illustrates a communication method according to an exemplary embodiment. This communication method is applied to the terminal.
  • the method may include:
  • S1020 Receive the second information sent by the positioning management function device for updating the parameters of the AI model.
  • S1030 Send first information to the positioning management function device.
  • the first information is used to determine the positioning performance of the AI model deployed by the terminal.
  • the terminal can send a second request to the positioning management function device, so that the positioning management function device can respond to the second request and send second information to the terminal, so that the terminal can receive the second information sent by the positioning management function device.
  • the terminal may send the second request to the location management function device through an LPP message. That is, the terminal may send an LPP message to the location management function device, where the LPP message includes the second request.
  • the LPP message used to send the second request may be an LPP request assistance information message.
  • the terminal may receive the second information sent by the positioning management function device through an LPP message.
  • the LPP message used to send the second information may be an LPP provide assistance information message.
  • the second information includes the correspondence between the positioning measurement value and the location information of the terminal, the correspondence between the positioning measurement value determined based on the traditional positioning algorithm and the positioning measurement value determined based on the AI model, the channel impulse response At least one of the correspondence relationship between the positioning measurement value and the correspondence relationship between the channel impulse response and the location information of the terminal.
  • the timing when the terminal sends the second request to the positioning management function device is not limited. For example, it may be sent before sending the first information to the positioning management function device, or, for example, it may be sent after receiving the positioning performance of the AI model sent by the positioning management function device. Therefore, the positioning management function device can respond to the second request and send the second information to the terminal.
  • the method of the embodiment of the present disclosure may further include the step of receiving the positioning performance of the AI model sent by the positioning management function device.
  • the step of receiving the positioning performance of the AI model sent by the positioning management function device may be included in step S1020. That is, in some cases, the second positioning performance may be sent simultaneously through the same message. information and the positioning performance of the AI model.
  • step S1030 in the embodiments of the present disclosure, reference can be made to the foregoing embodiments, which will not be described again here.
  • Figure 11 illustrates a communication method according to an exemplary embodiment. This communication method is applied to the terminal.
  • the method may include:
  • S1120 Receive the second information sent by the positioning management function device for updating the parameters of the AI model.
  • the terminal can send a second request to the positioning management function device, so that the positioning management function device can send the second information to the terminal in response to the second request.
  • the terminal can send a second request to the positioning management function device, so that the positioning management function device can send the second information to the terminal in response to the second request.
  • Figure 12 illustrates a communication method according to an exemplary embodiment. This communication method is applied to the terminal.
  • the method may include:
  • the second information is used to update the parameters of the AI model.
  • S1220 Receive the second information sent by the positioning management function device through the LPP provide assistance information message.
  • S1230 Receive the first request sent by the positioning management function device through the LPP request location information message.
  • the method of the embodiment of the present disclosure may further include the step of receiving the positioning performance of the AI model sent by the positioning management function device.
  • the positioning management function device can send the positioning performance of the AI model to the terminal, thereby facilitating the terminal to learn the positioning performance of the deployed AI model.
  • the step of receiving the positioning performance of the AI model sent by the positioning management function device may be included in step S1220 or step S1230. That is, in some cases, it may be done through the same message. Send the second information and the positioning performance of the AI model at the same time, or send the first request and the positioning performance of the AI model at the same time through the same message.
  • Figure 13 is a communication method according to an exemplary embodiment, which can be applied to the positioning management function device in the above communication system. As shown in Figure 13, the method can include:
  • S1320 Determine the positioning performance of the AI model deployed by the terminal based on the first information.
  • the positioning management function device can receive the first information sent by the terminal, and determine the positioning performance of the AI model deployed by the terminal based on the first information, so that the positioning management function device can obtain the positioning performance of the AI model deployed by the terminal.
  • the first information includes at least one of first sub-information, second sub-information, third sub-information and fourth sub-information
  • the first sub-information includes the location information of the terminal determined based on the AI model and the location information based on the AI model.
  • the position information of the terminal determined by the traditional positioning algorithm includes the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm
  • the third sub-information includes the position information characterizing the terminal determined based on the AI model
  • the fourth sub-information includes information characterizing the difference between the positioning measurement value of the terminal determined based on the AI model and the positioning measurement value of the terminal determined based on the traditional positioning algorithm. information.
  • an AI model used to determine the location information of the terminal may be deployed on the terminal, or an AI model used to determine the detected positioning measurement value of the terminal may be deployed on the terminal.
  • traditional positioning algorithms can also be deployed on the terminal, such as DL-TDOA, multi-RTT, DL-AOD or E-CID positioning algorithms.
  • the terminal can determine the location information of the terminal based on the AI model and the traditional positioning algorithm based on the deployment of the AI model and the traditional positioning algorithm, thereby obtaining the first sub-information, or determine the positioning measurement based on the AI model. value and determine the positioning measurement value based on the traditional positioning algorithm, thereby obtaining the second sub-information.
  • the positioning measurement value can be, for example, the arrival time difference of the reference signal (Reference Signal Time Difference, RSTD), the reference signal received power (Reference Signal Received Power, RSRP), and the positioning reference signal received path power (Reference signal Received Path Power, RSRPP). etc., which is determined based on the traditional positioning algorithm deployed.
  • RSTD Reference Signal Time Difference
  • RSRP Reference Signal Received Power
  • RSRPP positioning reference signal received path power
  • the terminal determines the location information of the terminal based on the AI model and the location information of the terminal based on the traditional positioning algorithm, it can further determine the relationship between the location information of the terminal determined based on the AI model and the location information of the terminal determined based on the traditional positioning algorithm. difference information, thereby obtaining the third sub-information.
  • the distance between the location information of the terminal determined based on the AI model and the location information of the terminal determined based on the traditional positioning algorithm may be determined as information representing the difference.
  • the terminal determines the positioning measurement value based on the AI model and determines the positioning measurement value based on the traditional positioning algorithm, it can further determine the relationship between the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm. difference information, thereby obtaining the fourth sub-information.
  • the difference between the positioning measurement value of the terminal determined based on the AI model and the positioning measurement value of the terminal determined based on the traditional positioning algorithm may be determined as information representing the difference.
  • the first information sent by the terminal may at least simultaneously include fields recording the first sub-information, the second sub-information, the third sub-information and the fourth sub-information. Therefore, when it is necessary to send the positioning management function device which When sub-information is entered, the corresponding fields are enabled to fill in the corresponding sub-information.
  • the positioning management function device may obtain the first distance of the position information of the terminal determined based on the AI model and the position information of the terminal determined based on the traditional positioning algorithm, through the first distance. The first distance is compared with the first threshold to determine whether the positioning performance of the AI model deployed by the terminal meets the requirements.
  • the positioning management function device can obtain the difference between the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm, by The difference is compared with the second threshold to determine whether the positioning performance of the AI model deployed by the terminal meets the requirements.
  • the positioning management function device can calculate the location information of the terminal based on the positioning measurement value determined by the AI model, and calculate the location information of the terminal based on the positioning measurement value determined by the traditional positioning algorithm, and then obtain the two calculated location information. By comparing the second distance with the third threshold, it is determined whether the positioning performance of the AI model deployed by the terminal meets the requirements.
  • the positioning management function device may determine whether the positioning performance of the AI model deployed by the terminal meets the requirements by comparing the third sub-information with the fourth threshold.
  • the positioning management function device can determine whether the positioning performance of the AI model deployed by the terminal meets the requirements by comparing the fourth sub-information with the fifth threshold.
  • the positioning performance when the first distance is less than the first threshold, it is determined that the positioning performance meets the requirements, otherwise the positioning performance does not meet the requirements.
  • the difference when the difference is less than the second threshold, it is determined that the positioning performance meets the requirements, otherwise the positioning performance does not meet the requirements.
  • the positioning performance when the second distance is less than the third threshold, it is determined that the positioning performance meets the requirements, otherwise the positioning performance does not meet the requirements.
  • the positioning performance when the third sub-information is less than the fourth threshold, it is determined that the positioning performance meets the requirements, otherwise the positioning performance does not meet the requirements.
  • the positioning performance when the fourth sub-information is less than the fifth threshold, it is determined that the positioning performance meets the requirements, otherwise the positioning performance does not meet the requirements.
  • each location information included in the first sub-information is associated with a first identifier, and the first identifier indicates the positioning algorithm used when determining the location information.
  • a first identifier used to represent that the location information is determined by the AI model may be added to the location information determined by the AI model.
  • a first identifier used to represent that the location information is determined by the DL-TDOA positioning algorithm may be added to the location information determined by the DL-TDOA positioning algorithm.
  • the positioning measurement value determined based on the AI model included in the second sub-information is associated with a second identifier, and the second identifier indicates that the positioning measurement value is based on the AI model. Positioning measurements determined by the model.
  • the second identifier may only be associated with the positioning measurement value determined based on the AI model included in the second sub-information.
  • the method of the embodiment of the present disclosure may further include the step of sending the positioning performance of the AI model to the terminal.
  • sending the positioning performance of the AI model to the terminal includes:
  • Figure 14 illustrates a communication method according to an exemplary embodiment. This communication method is applied to positioning management function equipment. In this case, as shown in Figure 14, the method may include:
  • the positioning management function device can send the positioning performance of the AI model to the terminal.
  • the positioning performance of the AI model sent to the terminal by the positioning management function can be obtained in multiple ways.
  • the determination may be made by analyzing and processing the first information after the positioning management function device receives the first information sent by the terminal for determining the positioning performance of the AI model.
  • it may also be the positioning performance of the terminal obtained by the positioning management function device from an external application.
  • Figure 15 illustrates a communication method according to an exemplary embodiment. This communication method is applied to positioning management function equipment. In this case, as shown in Figure 15, the method may include:
  • S1520 Receive the first information sent by the terminal.
  • the positioning management function device can send a first request to the terminal, so that the terminal can send the first information to the positioning management function device according to the first request sent by the positioning management function device.
  • the positioning management function device may send the positioning performance of the AI model to the terminal.
  • the positioning performance of the AI model sent to the terminal by the positioning management function can be obtained in multiple ways.
  • the positioning management function device may analyze and process the first information after receiving the first information sent by the terminal for determining the positioning performance of the AI model. That is, the positioning management function device may determine the positioning performance according to the first information to determine the positioning performance of the AI model deployed by the terminal. Optionally, it may also be the positioning performance of the terminal obtained by the positioning management function device from an external application.
  • the first request and the positioning performance of the AI model may be sent in the same message.
  • the first request may include information indicating the content of the specific request.
  • the first request may include information for instructing the terminal to provide at least one of first sub-information, second sub-information, third sub-information and fourth sub-information.
  • the location management function device may send the first request to the terminal through an LPP message, that is, the location management function device may send an LPP message to the terminal, and the LPP message includes the first request.
  • the LPP message used to send the first request may be an LPP location information request message.
  • the terminal can perform subsequent processing. For example, when it is determined that the positioning performance does not meet the requirements, the AI model parameters can be updated. For example, the deployed AI model can be updated.
  • the AI model is used to determine the location information of the terminal or to determine the positioning measurement value of the terminal.
  • the first information includes at least one of first sub-information, second sub-information, third sub-information and fourth sub-information
  • the first sub-information includes the location information of the terminal determined based on the AI model and the location information based on the AI model.
  • the position information of the terminal determined by the traditional positioning algorithm includes the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm
  • the third sub-information includes the position information characterizing the terminal determined based on the AI model
  • the fourth sub-information includes information characterizing the difference between the positioning measurement value of the terminal determined based on the AI model and the positioning measurement value of the terminal determined based on the traditional positioning algorithm. information.
  • each location information included in the first sub-information is associated with a first identifier, and the first identifier indicates the positioning algorithm used when determining the location information.
  • the positioning measurement value determined based on the AI model included in the second sub-information is associated with a second identifier, and the second identifier indicates that the positioning measurement value is based on the AI model. Positioning measurements determined by the model.
  • Figure 16 illustrates a communication method according to an exemplary embodiment. This communication method is applied to positioning management function equipment. In this case, as shown in Figure 16, the method may include:
  • S1620 Receive the first information sent by the terminal through the LPP message.
  • the terminal may send an LPP message to the positioning management function device, where the LPP message includes the first information.
  • the positioning management function device may send the positioning performance of the AI model to the terminal.
  • the positioning performance of the AI model sent to the terminal by the positioning management function can be obtained in multiple ways.
  • the positioning management function device may analyze and process the first information after receiving the first information sent by the terminal for determining the positioning performance of the AI model. That is, the positioning management function device may determine the positioning performance according to the first information to determine the positioning performance of the AI model deployed by the terminal. Optionally, it may also be the positioning performance of the terminal obtained by the positioning management function device from an external application.
  • Figure 17 illustrates a communication method according to an exemplary embodiment. This communication method is applied to positioning management function equipment. In this case, as shown in Figure 17, the method may include:
  • the positioning management function device may send second information for updating the parameters of the AI model to the terminal, so that the terminal may receive the second information sent by the positioning management function device.
  • the AI model is an AI model to be trained, such as an initial AI model, that is, the AI model needs to be trained with sample data before being deployed and used. Therefore, in some implementations, the terminal receives the positioning management function After the second information is sent by the device, the second information can be used to train the AI model to be trained, that is, the second information can be used to update the parameters of the AI model to be trained, thereby obtaining the AI model deployed by the terminal. After obtaining the AI model deployed by the terminal, corresponding data can be calculated based on the AI model to form the first information, so that the terminal can subsequently send the first information to the positioning management function device.
  • the performance may not meet the actual use requirements according to different actual use requirements.
  • the deployed AI can be modified. Model parameters are optimized and updated. Therefore, in other embodiments, after receiving the second information sent by the positioning management function device, the second information can be used to optimize and update the parameters of the AI model deployed by the terminal, that is, the second information can be used to update the deployed AI model. The parameters are updated to obtain the AI model with updated parameters deployed by the terminal.
  • the timing of the positioning management function device sending the second information is not limited.
  • the positioning management function device may send the second information to the terminal before the terminal sends the first information to the positioning management function device.
  • Information for example, the positioning management function device may send the second information to the terminal after receiving the first information sent by the terminal and determining based on the first information that the positioning performance of the terminal does not meet the requirements.
  • the second information includes the correspondence between the positioning measurement value and the location information of the terminal, the correspondence between the positioning measurement value determined based on the traditional positioning algorithm and the positioning measurement value determined based on the AI model, the channel impulse response At least one of the correspondence relationship between the positioning measurement value and the correspondence relationship between the channel impulse response and the location information of the terminal.
  • the trained AI model uses the positioning measurement value as input and the terminal's location information as output when used.
  • the trained AI model is used based on the positioning measurement value determined based on the traditional positioning algorithm.
  • Input, the positioning measurement value determined based on the AI model is the output.
  • the trained AI model uses the channel impulse response as the input and the terminal's location information as the output when used.
  • the trained AI model uses the channel impulse response as the input and the positioning measurement value as the output when used.
  • the positioning management function device may send the positioning performance of the AI model to the terminal.
  • the positioning performance of the AI model sent to the terminal by the positioning management function can be obtained in multiple ways.
  • the positioning management function device may analyze and process the first information after receiving the first information sent by the terminal for determining the positioning performance of the AI model. That is, the positioning management function device may determine the positioning performance according to the first information to determine the positioning performance of the AI model deployed by the terminal. Optionally, it may also be the positioning performance of the terminal obtained by the positioning management function device from an external application.
  • the second information and the positioning performance of the AI model can be sent in the same message.
  • Figure 18 illustrates a communication method according to an exemplary embodiment. This communication method is applied to positioning management function equipment. In this case, as shown in Figure 18, the method may include:
  • S1810 Send second information for updating parameters of the AI model to the terminal through an LPP message.
  • S1820 Receive the first information sent by the terminal.
  • the positioning management function device may send an LPP message to the terminal, where the LPP message includes the second information.
  • the LPP message used to send the second information may be an LPP provide assistance information message.
  • the second information includes the correspondence between the positioning measurement value and the location information of the terminal, the correspondence between the positioning measurement value determined based on the traditional positioning algorithm and the positioning measurement value determined based on the AI model, the channel impulse response At least one of the correspondence relationship between the positioning measurement value and the correspondence relationship between the channel impulse response and the location information of the terminal.
  • the positioning management function device may send the positioning performance of the AI model to the terminal.
  • the positioning performance of the AI model sent to the terminal by the positioning management function can be obtained in multiple ways.
  • the positioning management function device may analyze and process the first information after receiving the first information sent by the terminal for determining the positioning performance of the AI model. That is, the positioning management function device may determine the positioning performance according to the first information to determine the positioning performance of the AI model deployed by the terminal. Optionally, it may also be the positioning performance of the terminal obtained by the positioning management function device from an external application.
  • the second information and the positioning performance of the AI model can be sent in the same message.
  • Figure 19 illustrates a communication method according to an exemplary embodiment. This communication method is applied to positioning management function equipment. In this case, as shown in Figure 19, the method may include:
  • the terminal can send a second request to the positioning management function device to request the second information, so that the positioning management function device can respond to the second request and send the second information to the terminal.
  • the terminal may send the second request to the location management function device through an LPP message. That is, the terminal may send an LPP message to the location management function device, where the LPP message includes the second request. Therefore, the positioning management function device can receive the second request sent by the terminal through the LPP message.
  • the LPP message for the second request sent may be an LPP request assistance information message.
  • the location management function device may send the second information to the terminal through an LPP message.
  • the LPP message used to send the second information may be an LPP provide assistance information message.
  • the second information includes the correspondence between the positioning measurement value and the location information of the terminal, the correspondence between the positioning measurement value determined based on the traditional positioning algorithm and the positioning measurement value determined based on the AI model, the channel impulse response At least one of the correspondence relationship between the positioning measurement value and the correspondence relationship between the channel impulse response and the location information of the terminal.
  • the positioning management function device may send the positioning performance of the AI model to the terminal.
  • the positioning performance of the AI model sent to the terminal by the positioning management function can be obtained in multiple ways.
  • the positioning management function device may analyze and process the first information after receiving the first information sent by the terminal for determining the positioning performance of the AI model. That is, the positioning management function device may determine the positioning performance according to the first information to determine the positioning performance of the AI model deployed by the terminal. Optionally, it may also be the positioning performance of the terminal obtained by the positioning management function device from an external application.
  • the second information and the positioning performance of the AI model can be sent in the same message.
  • Figure 20 illustrates a communication method according to an exemplary embodiment. This communication method is applied to positioning management function equipment. In this case, as shown in Figure 20, the method may include:
  • S2010 Receive the second request sent by the terminal for requesting the second information through the LPP request assistance information message.
  • the second information is used to update parameters of the AI model.
  • S2020 in response to the second request, send the second information to the terminal through the LPP provide assistance information message.
  • the receiving terminal sends the first information through the LPP provide location information message.
  • the positioning management function device may send the positioning performance of the AI model to the terminal.
  • the positioning performance of the AI model sent to the terminal by the positioning management function can be obtained in multiple ways.
  • the positioning management function device may analyze and process the first information after receiving the first information sent by the terminal for determining the positioning performance of the AI model. That is, the positioning management function device may determine the positioning performance according to the first information to determine the positioning performance of the AI model deployed by the terminal. Optionally, it may also be the positioning performance of the terminal obtained by the positioning management function device from an external application.
  • the second information and the positioning performance of the AI model may be sent through the same message, or the first request and the positioning performance of the AI model may be sent through the same message.
  • Figure 21 illustrates a communication method according to an exemplary embodiment. As shown in Figure 20, the communication method may include:
  • the positioning management function device sends a first request for requesting first information to the terminal through an LPP message.
  • the LPP message used to send the first request to the terminal may be an LPP request location information message.
  • the terminal In response to the first request, the terminal sends the first information to the positioning management function device through an LPP message.
  • the LPP message used to send the first information to the location management function device may be an LPP provide location information message.
  • the positioning management function device determines the positioning performance of the AI model deployed by the terminal based on the first information.
  • the terminal sends a second request for requesting second information to the positioning management function device through an LPP message.
  • the LPP message used to send the second request to the positioning management function device may be an LPP request assistance information message.
  • the positioning management function device sends the second information to the terminal through the LPP message.
  • the LPP message used to send the second message to the terminal may be LPP provide assistance information.
  • the second information is used by the terminal to update parameters of the AI model deployed by itself.
  • step S2140 and step S2150 may be performed before step S2110.
  • Figure 22 is a block diagram of a communication device 2200 according to an exemplary embodiment.
  • the communication device can be applied to a terminal.
  • the device 2200 can include:
  • the first sending module 2210 is configured to send first information to the positioning management function device, where the first information is used to determine the positioning performance of the AI model deployed by the terminal.
  • apparatus 2200 further includes:
  • the first receiving module is configured to receive the positioning performance of the AI model sent by the positioning management function device.
  • the first sending module 2210 is further configured to receive a first request sent by the positioning management function device; in response to the first request, send the first information to the positioning management function device.
  • the first sending module 2210 is further configured to receive the first request sent by the positioning management function device through an LPP message; in response to the first request, send the first request to the positioning management function device through the LPP message. information.
  • the first information includes at least one of first sub-information, second sub-information, third sub-information, and fourth sub-information
  • the first sub-information includes at least one determined based on the AI model.
  • the second sub-information includes the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm
  • the The third sub-information includes information characterizing the difference between the position information of the terminal determined based on the AI model and the position information of the terminal determined based on the traditional positioning algorithm
  • the fourth sub-information includes information characterizing the difference between the position information of the terminal determined based on the AI model and the position information of the terminal determined based on the traditional positioning algorithm.
  • each position information included in the first sub-information is associated with a first identifier, and the first identifier indicates the positioning algorithm used when determining the position information.
  • the positioning measurement value determined based on the AI model included in the second sub-information is associated with a second identification, and the second identification indicates the positioning measurement value determined based on the AI model.
  • the first receiving module is further configured to receive information sent by the positioning management function device indicating whether the AI model meets the preset positioning accuracy; or is also configured to receive information sent by the positioning management function device. information instructing the terminal to stop using the AI model; or is also configured to receive information sent by the positioning management function device instructing the terminal to stop replacing the AI model; or is also configured to receive the positioning Information sent by the management function device instructing the terminal to update the AI model parameters.
  • apparatus 2200 further includes:
  • the second receiving module is configured to receive the second information sent by the positioning management function device for updating the parameters of the AI model.
  • the second receiving module is further configured to receive the second information sent by the location management function device through an LPP message.
  • apparatus 2200 further includes:
  • the second sending module is configured to send a second request for requesting the second information to the positioning management function device.
  • the second sending module is further configured to send the second request to the location management function device through an LPP message.
  • the second information includes the correspondence between the positioning measurement value and the location information of the terminal, the correspondence between the positioning measurement value determined based on the traditional positioning algorithm and the positioning measurement value determined based on the AI model, the channel collision At least one of the correspondence between the impulse response and the positioning measurement value, and the correspondence between the channel impulse response and the location information of the terminal.
  • Figure 23 is a block diagram of a communication device 2300 according to an exemplary embodiment.
  • the communication device can be applied to positioning management function equipment.
  • the device 2300 can include:
  • the third receiving module 2310 is configured to receive the first information sent by the terminal;
  • the determination module 2320 is configured to determine the positioning performance of the AI model deployed by the terminal according to the first information.
  • apparatus 2300 further includes:
  • the third sending module is configured to send the positioning performance of the AI model to the terminal.
  • apparatus 2300 further includes:
  • the fourth sending module is configured to send a first request for requesting the first information to the terminal.
  • apparatus 2300 further includes:
  • the first request sending module is configured to send a first request for requesting the first information to the terminal through an LPP message; in this case, the third receiving module 2310 is also configured to receive the terminal sending through an LPP message. first information.
  • the first information includes at least one of first sub-information, second sub-information, third sub-information, and fourth sub-information
  • the first sub-information includes at least one determined based on the AI model.
  • the second sub-information includes the positioning measurement value determined based on the AI model and the positioning measurement value determined based on the traditional positioning algorithm
  • the The third sub-information includes information characterizing the difference between the position information of the terminal determined based on the AI model and the position information of the terminal determined based on the traditional positioning algorithm
  • the fourth sub-information includes information characterizing the difference between the position information of the terminal determined based on the AI model and the position information of the terminal determined based on the traditional positioning algorithm.
  • each position information included in the first sub-information is associated with a first identifier, and the first identifier indicates the positioning algorithm used when determining the position information.
  • the positioning measurement value determined based on the AI model included in the second sub-information is associated with a second identification, and the second identification indicates the positioning measurement value determined based on the AI model.
  • the third sending module is further configured to send information to the terminal indicating whether the AI model meets the preset positioning accuracy; or is further configured to send an instruction to the terminal to stop using the positioning accuracy. information of the AI model; or is further configured to send to the terminal information instructing the terminal to stop replacing the AI model; or is further configured to send to the terminal information instructing the terminal to update the AI model parameters. information.
  • apparatus 2300 further includes:
  • the fifth sending module is configured to send second information for updating parameters of the AI model to the terminal.
  • the fifth sending module is further configured to send the second information to the terminal through an LPP message.
  • the fifth sending module is further configured to receive a second request sent by the terminal for requesting the second information; in response to the second request, send the second request to the terminal. information.
  • apparatus 2300 further includes:
  • the fourth receiving module is configured to receive the second request sent by the terminal through an LPP message.
  • the second information includes the correspondence between the positioning measurement value and the location information of the terminal, the correspondence between the positioning measurement value determined based on the traditional positioning algorithm and the positioning measurement value determined based on the AI model, the channel collision At least one of the correspondence between the impulse response and the positioning measurement value, and the correspondence between the channel impulse response and the location information of the terminal.
  • FIG. 24 is a block diagram of a communication device according to an exemplary embodiment.
  • the communication device 2400 may be a positioning management function device in the communication system shown in FIG. 1 .
  • the apparatus 2400 may include one or more of the following components: a processing component 2402, a memory 2404, and a communication component 2406.
  • the processing component 2402 may be used to control the overall operations of the device 2400, such as operations associated with display, phone calls, data communications, camera operations, and recording operations.
  • the processing component 2402 may include one or more processors 2420 to execute instructions to complete all or part of the steps of the above communication method.
  • processing component 2402 may include one or more modules that facilitate interaction between processing component 2402 and other components.
  • processing component 2402 may include a multimedia module to facilitate interaction between the multimedia component and processing component 2402.
  • Memory 2404 is configured to store various types of data to support operations at device 2400. Examples of such data include instructions for any application or method operating on device 2400, contact data, phonebook data, messages, pictures, videos, etc.
  • Memory 2404 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EEPROM erasable programmable read-only memory
  • EPROM Programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic memory flash memory, magnetic or optical disk.
  • Communications component 2406 is configured to facilitate wired or wireless communications between device 2400 and other devices.
  • the device 2400 can access a wireless network based on communication standards, such as Wi-Fi, 2G, 3G, 4G, 5G, 6G, NB-IOT, eMTC, etc., or a combination thereof.
  • the communication component 2406 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communications component 2406 also includes a near field communications (NFC) module to facilitate short-range communications.
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • Figure 25 is a block diagram of a communication device according to an exemplary embodiment.
  • the communication device 2500 may be a terminal in the communication system shown in FIG. 1 , and the terminal may be a mobile phone, a camera, a notebook, a tablet computer, a smart wearable device, etc.
  • communication device 2500 may include one or more of the following components: processing component 2502, memory 2504, power supply component 2506, multimedia component 2508, audio component 2510, input/output interface 2512, sensor component 2514, and communication component 2516.
  • Processing component 2502 generally controls the overall operations of communications device 2500, such as operations associated with display, phone calls, data communications, camera operations, and recording operations.
  • the processing component 2502 may include one or more processors 2520 to execute instructions to complete all or part of the steps of the above method.
  • processing component 2502 may include one or more modules that facilitate interaction between processing component 2502 and other components.
  • processing component 2502 may include a multimedia module to facilitate interaction between multimedia component 2508 and processing component 2502.
  • Memory 2504 is configured to store various types of data to support operations at communication device 2500 . Examples of such data include instructions for any application or method operating on communication device 2500, contact data, phonebook data, messages, pictures, videos, etc.
  • Memory 2504 may be implemented by any type of volatile or non-volatile storage device, or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EEPROM), Programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
  • SRAM static random access memory
  • EEPROM electrically erasable programmable read-only memory
  • EEPROM erasable programmable read-only memory
  • EPROM Programmable read-only memory
  • PROM programmable read-only memory
  • ROM read-only memory
  • magnetic memory flash memory, magnetic or optical disk.
  • Power supply component 2506 provides power to various components of communication device 2500.
  • Power supply components 2506 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to communications device 2500.
  • Multimedia component 2508 includes a screen that provides an output interface between the communication device 2500 and the user.
  • the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user.
  • the touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide action.
  • multimedia component 2508 includes a front-facing camera and/or a rear-facing camera.
  • the front camera and/or the rear camera may receive external multimedia data.
  • Each front-facing camera and rear-facing camera can be a fixed optical lens system or have a focal length and optical zoom capabilities.
  • Audio component 2510 is configured to output and/or input audio signals.
  • audio component 2510 includes a microphone (MIC) configured to receive external audio signals when communication device 2500 is in operating modes, such as call mode, recording mode, and voice recognition mode. The received audio signals may be further stored in memory 2504 or sent via communications component 2516 .
  • audio component 2510 also includes a speaker for outputting audio signals.
  • the input/output interface 2512 provides an interface between the processing component 2502 and a peripheral interface module.
  • the peripheral interface module may be a keyboard, a click wheel, a button, etc. These buttons may include, but are not limited to: Home button, Volume buttons, Start button, and Lock button.
  • Sensor component 2514 includes one or more sensors for providing various aspects of status assessment for communication device 2500 .
  • the sensor component 2514 can detect the open/closed state of the communication device 2500, the relative positioning of components, such as the display and keypad of the communication device 2500, the sensor component 2514 can also detect the communication device 2500 or a communication device 2500. Changes in position of components, presence or absence of user contact with communication device 2500, communication device 2500 orientation or acceleration/deceleration and changes in temperature of communication device 2500.
  • Sensor assembly 2514 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact.
  • Sensor assembly 2514 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications.
  • the sensor component 2514 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
  • Communication component 2516 is configured to facilitate wired or wireless communication between communication device 2500 and other devices.
  • the communication device 2500 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof.
  • the communication component 2516 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel.
  • the communications component 2516 also includes a near field communications (NFC) module to facilitate short-range communications.
  • NFC near field communications
  • the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
  • RFID radio frequency identification
  • IrDA infrared data association
  • UWB ultra-wideband
  • Bluetooth Bluetooth
  • the apparatus 2400 or the apparatus 2500 may be implemented by one or more application specific integrated circuits.
  • ASIC application specific integrated circuit
  • DSP digital signal processor
  • DSPD digital signal processing device
  • PLD programmable logic device
  • FPGA field programmable gate array
  • controller microcontroller, microprocessor or other electronic Component implementation for executing the above communication method.
  • the above-mentioned device 2400 or device 2500 can be an independent electronic device or a part of an independent electronic device.
  • the electronic device can be an integrated circuit (Integrated Circuit, IC) or a chip, where the integrated circuit It can be one IC or a collection of multiple ICs; the chip can include but is not limited to the following types: GPU (Graphics Processing Unit, graphics processor), CPU (Central Processing Unit, central processing unit), FPGA (Field Programmable) Gate Array, programmable logic array), DSP (Digital Signal Processor, digital signal processor), ASIC (Application Specific Integrated Circuit, application specific integrated circuit), SOC (System on Chip, SoC, system on a chip or system-level chip), etc.
  • GPU Graphics Processing Unit, graphics processor
  • CPU Central Processing Unit, central processing unit
  • FPGA Field Programmable) Gate Array
  • DSP Digital Signal Processor
  • ASIC Application Specific Integrated Circuit
  • SOC System on Chip, SoC, system on a chip or system-level chip
  • the above integrated circuit or chip can be used to execute executable instructions (or codes) to implement the above communication method.
  • the executable instructions can be stored in the integrated circuit or chip, or can be obtained from other devices or devices.
  • the integrated circuit or chip includes a processor, a memory, and an interface for communicating with other devices.
  • the executable instructions can be stored in the processor, and when the executable instructions are executed by the processor, the above communication method is implemented; or, the integrated circuit or chip can receive the executable instructions through the interface and transmit them to the processor for execution, to implement the above communication method.
  • the present disclosure also provides a computer-readable storage medium on which computer program instructions are stored.
  • the computer-readable storage medium may be a non-transitory computer-readable storage medium including instructions, for example, may be the above-mentioned memory 2404 or 2504 including instructions, and the instructions may be executed by the processor 2420 of the device 2400 or the device 2500
  • the processor 2520 executes to complete the above communication method.
  • the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
  • a computer program product comprising a computer program executable by a programmable device, the computer program having a function for performing the above when executed by the programmable device.
  • the code part of the communication method.

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Abstract

本公开涉及一种通信方法、装置、存储介质及芯片。该方法包括：向定位管理功能设备发送第一信息，所述第一信息用于确定所述终端部署的AI模型的定位性能。采用该方法可以便于获取到终端部署的AI模型的定位性能。

Description

通信方法、装置、存储介质及芯片 技术领域
本公开涉及通信技术领域，具体地，涉及一种通信方法、装置、存储介质及芯片。
背景技术
随着通信技术的发展，提出了基于AI(Artificial Intelligence，人工智能)的终端定位服务。基于AI的终端定位服务中，如何确定AI模型的定位性能，成为一个需要解决的问题。
发明内容
为克服相关技术中存在的上述问题，本公开提供一种通信方法、装置、存储介质及芯片。
根据本公开实施例的第一方面，提供一种通信方法，应用于终端，所述方法包括；
向定位管理功能设备发送第一信息，所述第一信息用于确定所述终端部署的AI模型的定位性能。
根据本公开实施例的第二方面，提供一种通信方法，应用于定位管理功能设备，所述方法包括：
接收终端发送的第一信息；
根据所述第一信息，确定所述终端部署的AI模型的定位性能。
根据本公开实施例的第三方面，提供一种通信装置，应用于终端，所述装置包括：
第一发送模块，被配置为向定位管理功能设备发送第一信息，所述第一信息用于确定所述终端部署的AI模型的定位性能。
根据本公开实施例的第四方面，提供一种通信装置，应用于定位管理功能设备，所述装置包括：
第三接收模块，被配置为接收终端发送的第一信息；
确定模块，被配置为根据所述第一信息，确定所述终端部署的AI模型的定位性能。
根据本公开实施例的第五方面，提供一种通信装置，包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为执行本公开第一方面所提供的通信方法的步骤。
根据本公开实施例的第六方面，提供一种通信装置，包括：
处理器；
用于存储处理器可执行指令的存储器；
其中，所述处理器被配置为执行本公开第二方面所提供的通信方法的步骤。
根据本公开实施例的第七方面，提供一种计算机可读存储介质，其上存储有计算机程序指令，该计算机程序指令被处理器执行时实现本公开第一方面所提供的通信方法的步骤。
根据本公开实施例的第八方面，提供一种计算机可读存储介质，其上存储有计算机程序指令，该计算机程序指令被处理器执行时实现本公开第二方面所提供的通信方法的步骤。
根据本公开实施例的第九方面，提供一种芯片，包括：处理器和接口；所述处理器用于读取指令以执行本公开第一方面所提供的通信方法的步骤，
根据本公开实施例的第十方面，提供一种芯片，包括：处理器和接口；所述处理器用于读取指令以执行本公开第二方面所提供的通信方法的步骤。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本公开。
附图说明
此处的附图被并入说明书中并构成本说明书的一部分，示出了符合本公开的实施例，并 与说明书一起用于解释本公开的原理。
图1是根据一示例性实施例示出的一种通信系统的示意图。
图2是根据一示例性实施例示出的一种通信方法的流程图。
图3是根据一示例性实施例示出的另一种通信方法的流程图。
图4是根据一示例性实施例示出的另一种通信方法的流程图。
图5是根据一示例性实施例示出的另一种通信方法的流程图。
图6是根据一示例性实施例示出的另一种通信方法的流程图。
图7是根据一示例性实施例示出的另一种通信方法的流程图。
图8是根据一示例性实施例示出的另一种通信方法的流程图。
图9是根据一示例性实施例示出的另一种通信方法的流程图。
图10是根据一示例性实施例示出的另一种通信方法的流程图。
图11是根据一示例性实施例示出的另一种通信方法的流程图。
图12是根据一示例性实施例示出的另一种通信方法的流程图。
图13是根据一示例性实施例示出的另一种通信方法的流程图。
图14是根据一示例性实施例示出的另一种通信方法的流程图。
图15是根据一示例性实施例示出的另一种通信方法的流程图。
图16是根据一示例性实施例示出的另一种通信方法的流程图。
图17是根据一示例性实施例示出的另一种通信方法的流程图。
图18是根据一示例性实施例示出的另一种通信方法的流程图。
图19是根据一示例性实施例示出的另一种通信方法的流程图。
图20是根据一示例性实施例示出的另一种通信方法的流程图。
图21是根据一示例性实施例示出的另一种通信方法的流程图。
图22是根据一示例性实施例示出的一种通信装置的框图。
图23是根据一示例性实施例示出的一种通信装置的框图。
图24是根据一示例性实施例示出的一种通信装置的框图。
图25是根据一示例性实施例示出的一种通信装置的框图。
具体实施方式
这里将详细地对示例性实施例进行说明，其示例表示在附图中。下面的描述涉及附图时，除非另有表示，不同附图中的相同数字表示相同或相似的要素。以下示例性实施例中所描述的实施方式并不代表与本公开相一致的所有实施方式。相反，它们仅是与如所附权利要求书中所详述的、本公开的一些方面相一致的装置和方法的例子。
需要说明的是，本公开中所有获取信号、信息或数据的动作都是在遵照所在地国家相应的数据保护法规政策的前提下，并获得由相应装置所有者给予授权的情况下进行的。
在本公开的描述中，使用的术语如“第一”、“第二”等是用于区别类似的对象，而不必理解为特定的顺序或先后次序。另外，在未作相反说明的情况下，在参考附图的描述中，不同附图中的同一标记表示相同的要素。
在本公开的描述中，除非另有说明，“多个”是指两个或多于两个，其它量词与之类似；“以下至少一项(个)”、“一项(个)或多项(个)”或其类似表达，是指的这些项(个)中的任意组合，包括单项(个)或复数项(个)的任意组合。例如，a，b，或c中的一项(个)或多项(个)，可以表示：a，b，c，a-b，a-c，b-c，或a-b-c，其中a，b，c可以是单个，也可以是多个；“和/或”是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况，其中A，B可以是单数或者复数。
在本公开实施例中尽管在附图中以特定的顺序描述操作，但是不应将其理解为要求按照所示的特定顺序或是串行顺序来执行这些操作，或是要求执行全部所示的操作以得到期望的 结果。在特定环境中，多任务和并行处理可能是有利的。此外，通过同一条消息发送多个信息也是有利的。
下面先介绍本公开实施例的实施环境。
本申请实施例的技术方案可以应用于各种通信系统。该通信系统可以包括4G(the 4th Generation，第四代)通信系统、5G(the 5th Generation，第五代)通信系统、和其他未来的无线通信系统(比如6G)中的一种或多种。该通信系统也可以包括陆上公用移动通信网(Public Land Mobile Network，PLMN)网络、非地面网络通信系统、设备到设备(Device-to-Device，D2D)通信系统、机器到机器(Machine to Machine，M2M)通信系统、物联网(Internet of Things，IoT)通信系统、车联网(Vehicle-to-Everything，V2X)通信系统或者其他通信系统中的一种或多种。
图1是根据一示例性实施例示出的一种通信系统的示意图。如图1所示，该通信系统可以包括终端101以及定位管理功能设备102。该通信系统可以用于支持4G(the 4th Generation，第四代)网络接入技术，例如长期演进(Long Term Evolution，LTE)接入技术，或者，5G(the 5th Generation，第五代)网络接入技术，如新型无线入技术(New Radio Access Technology，New RAT)，或者，其他未来的无线通信技术。需要说明的是，在该通信系统中，上述终端或者定位管理功能设备的数量均可以为一个或多个，图1所示通信系统的终端以及定位管理功能设备的数量仅为一种实施例的适应性举例，本公开对此不做限定。
图1中的终端可以是一种提供语音或者数据连通性的电子设备，例如也可以称为用户设备(User Equipment，UE)，用户单元(Subscriber Unit)，移动台(Mobile Station)，站台(Station)，终端设备等。示例地，该终端可以包括智能手机、智能可穿戴设备、智能音箱、智能平板、无线调制解调器(modem)、无线本地环路(Wireless Local Loop，WLL)台、PDA(Personal Digital Assistant，个人数字助理)、CPE(Customer Premise Equipment，客户终端设备)等。随着无线通信技术的发展，可以接入通信系统、可以与通信系统的基站进行通信，或者通过通信系统与其它物体进行通信的设备都可以是本公开实施例中的终端，例如，智能交通中的终端和汽车、智能家居中的家用设备、智能电网中的电力抄表仪器、电压监测仪器、环境监测仪器、智能安全网络中的视频监测仪器、收款机等。图1中的基站也可以称为接入网设备。
图1中的定位管理功能设备可以用于提供定位管理功能。示例地，该定位设备可以包括：定位管理功能(Location Management Function，LMF)、定位管理组件(Location Management Component，LMC)，或者部署有LMF或LMC的网络设备，例如该定位设备可以是部署了LMF的核心网设备，或者是部署了LMC的接入网设备，或者是具有定位功能的任意网络设备，本公开对此不作限定。
此外，在一些实施方式中，终端与定位管理功能设备之间可以通过基站(图1中未示出)进行通信。
图2是根据一示例性实施例示出的一种通信方法，可以应用于上述通信系统中的终端。如图2所示，该方法可以包括：
S210，向定位管理功能设备发送第一信息，第一信息用于确定终端部署的AI模型的定位性能。
S220，接收定位管理功能设备发送的AI模型的定位性能。
采用上述方法，终端可以向定位管理功能设备发送用于确定终端部署的AI模型的定位性能的第一信息，定位管理功能设备可以根据第一信息确定终端部署的AI模型的定位性能，接着，定位管理功能设备便可以将确定的AI模型的定位性能发送给终端，从而终端便可以获取到部署的AI模型的定位性能。
在一些实施方式中，终端在获取到部署的AI模型的定位性能之后，可以进行后续的处理，例如，可以在确定定位性能不满足要求时，对AI模型参数进行更新，又例如，将部署的AI模型用于确定终端的位置信息或者用于确定终端的定位测量值。
在一些实施方式中，第一信息包括第一子信息、第二子信息、第三子信息以及第四子信 息中至少一者，第一子信息包括基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息，第二子信息包括基于AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值，第三子信息包括表征基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息之间的差异的信息，第四子信息包括表征基于AI模型确定的终端的定位测量值以及基于传统定位算法确定的终端的定位测量值之间的差异的信息。
本公开实施例中，可以在终端部署用于确定终端的位置信息的AI模型，或者可以在终端部署用于确定终端的检测的定位测量值的AI模型。此外，还可以在终端部署传统定位算法，例如，DL-TDOA，multi-RTT，DL-AOD或者E-CID等定位算法。这样，终端便可以根据AI模型以及传统定位算法的部署情况，基于AI模型确定终端的位置信息以及基于传统定位算法确定终端的位置信息，从而得到第一子信息，或者，基于AI模型确定定位测量值以及基于传统定位算法确定定位测量值，从而得到第二子信息。
其中，定位测量值例如可以是参考信号的到达时间差(Reference Signal Time Difference，RSTD)，参考信号接收功率(Reference Signal Received Power，RSRP)，定位参考信号接收路径功率(Reference signal Received Path Power，RSRPP)等，这依据所部署的传统定位算法而确定。
此外，终端在基于AI模型确定终端的位置信息以及基于传统定位算法确定终端的位置信息之后，可以进一步确定表征基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息之间的差异的信息，从而得到第三子信息。
例如，可以将基于AI模型确定终端的位置信息与基于传统定位算法确定终端的位置信息的距离确定为表征差异的信息。
此外，终端在基于AI模型确定定位测量值以及基于传统定位算法确定定位测量值之后，可以进一步确定表征基于AI模型确定的终端的定位测量值以及基于传统定位算法确定的终端的定位测量值之间的差异的信息，从而得到第四子信息。
例如，可以将基于AI模型确定的终端的定位测量值以及基于传统定位算法确定的终端的定位测量值的差值确定为表征差异的信息。
在一些实施方式中，终端发送的第一信息至少可以同时包括记载第一子信息、第二子信息、第三子信息以及第四子信息的字段，从而，在需要向定位管理功能设备发送哪个子信息时，则启用对应的字段来填充对应的子信息。
此外，为了定位管理功能设备能够区分通过何种算法得到的位置信息，在一些实施方式中，第一子信息包括的各个位置信息关联第一标识，第一标识指示确定位置信息时使用的定位算法。
例如，可以对通过AI模型确定的位置信息添加用于表征该位置信息由AI模型确定的第一标识。又例如，可以对通过DL-TDOA定位算法确定的位置信息添加用于表征该位置信息由DL-TDOA定位算法确定的第一标识。
此外，为了定位管理功能设备能够区分通过何种算法得到的定位测量值，在一些实施方式中，第二子信息包括的基于AI模型确定的定位测量值关联第二标识，第二标识指示基于AI模型确定的定位测量值。
本公开实施例中，考虑到不同定位测量值之间参数单位或者数量级存在较大差异，因此，可以只对第二子信息包括的基于AI模型确定的定位测量值关联第二标识。
可选地，定位性能可以反映AI模型是否满足要求。因此，在一些实施方式中，接收定位管理功能设备发送的AI模型的定位性能，包括：
接收定位管理功能设备发送的表征AI模型是否满足预设定位精度的信息，或者接收定位管理功能设备发送的指示终端停止使用AI模型的信息，或者接收定位管理功能设备发送的指示终端停止更换AI模型的信息，或者接收定位管理功能设备发送的指示终端更新AI模型参数的信息。
本公开实施例中，通过表征AI模型是否满足预设定位精度的信息、指示终端停止使用 AI模型的信息、指示终端停止更换AI模型的信息以及指示终端更新AI模型参数的信息中任一者，均可以反映AI模型是否满足要求。
图3是根据一示例性实施例示出的一种通信方法。该通信方法应用于终端，这种情况下，如图3所示，该方法可以包括：
S310，向定位管理功能设备发送第一信息，第一信息用于确定终端部署的AI模型的定位性能。
采用上述方法，终端可以向定位管理功能设备发送用于确定终端部署的AI模型的定位性能的第一信息，定位管理功能设备便可以根据第一信息确定终端部署的AI模型的定位性能。
在一些实施方式中，第一信息包括第一子信息、第二子信息、第三子信息以及第四子信息中至少一者，第一子信息包括基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息，第二子信息包括基于AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值，第三子信息包括表征基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息之间的差异的信息，第四子信息包括表征基于AI模型确定的终端的定位测量值以及基于传统定位算法确定的终端的定位测量值之间的差异的信息。
在一些实施方式中，第一子信息包括的各个位置信息关联第一标识，第一标识指示确定位置信息时使用的定位算法。
在一些实施方式中，第二子信息包括的基于AI模型确定的定位测量值关联第二标识，第二标识指示基于AI模型确定的定位测量值。
在一些实施方式中，终端可以通过LPP消息向定位管理功能设备发送第一信息。
在一些实施方式中，终端可以响应于定位管理功能设备发送的第一请求来向定位管理功能设备发送用于确定终端部署的AI模型的定位性能的第一信息。
图4是根据一示例性实施例示出的一种通信方法。该通信方法应用于终端，如图3所示，该方法可以包括：
S410，接收定位管理功能设备发送的AI模型的定位性能。
采用上述方法，终端可以从定位管理功能设备获取到自身部署的AI模型的定位性能。
在一些实施方式中，定位管理功能发送给终端的AI模型的定位性能，可以有多种获得方式。可选地，可以是定位管理功能设备接收到终端发送的第一信息之后，对第一信息进行分析处理确定的。可选地，还可以是定位管理功能设备从外部应用获取的终端的定位性能。
图5是根据一示例性实施例示出的一种通信方法。该通信方法应用于终端，如图5所示，该方法可以包括：
S510，接收定位管理功能设备发送的第一请求。
S520，响应于第一请求，向定位管理功能设备发送第一信息，第一信息用于确定终端部署的AI模型的定位性能。
采用上述方法，终端可以根据定位管理功能设备发送的请求来向定位管理功能设备发送用于确定终端部署的AI模型的定位性能的信息。
在一些实施方式中，第一请求可以包括指示具体请求的内容的信息。
例如，第一请求可以包括用于指示终端提供第一子信息、第二子信息、第三子信息以及第四子信息中至少一者的信息。
在一些实施方式中，终端可以通过LPP消息接收定位管理功能设备发送的第一请求。也即，定位管理功能设备可以向终端发送LPP消息，该LPP消息包括第一请求。
可选地，用于发送第一请求的LPP消息可以是LPP location information request消息。
在一些实施方式中，第一信息包括第一子信息、第二子信息、第三子信息以及第四子信息中至少一者，第一子信息包括基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息，第二子信息包括基于AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值，第三子信息包括表征基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息之间的差异的信息，第四子信息包括表征基于AI模型确定的终 端的定位测量值以及基于传统定位算法确定的终端的定位测量值之间的差异的信息。
在一些实施方式中，第一子信息包括的各个位置信息关联第一标识，第一标识指示确定位置信息时使用的定位算法。
在一些实施方式中，第二子信息包括的基于AI模型确定的定位测量值关联第二标识，第二标识指示基于AI模型确定的定位测量值。
在一些实施方式中，终端可以通过LPP消息向定位管理功能设备发送第一信息。
在一些实施方式中，接收定位管理功能设备发送的AI模型的定位性能，包括：
接收定位管理功能设备发送的表征AI模型是否满足预设定位精度的信息，或者接收定位管理功能设备发送的指示终端停止使用AI模型的信息，或者接收定位管理功能设备发送的指示终端停止更换AI模型的信息，或者接收定位管理功能设备发送的指示终端更新AI模型参数的信息。
在一些实施方式中，本公开实施例的方法还可以包括步骤：接收定位管理功能设备发送的AI模型的定位性能。
本公开实施例中，定位管理功能设备可以向终端发送AI模型的定位性能，从而便于终端了解到部署的AI模型的定位性能。
需要说明的是，在一些实施方式中，接收定位管理功能设备发送的AI模型的定位性能的步骤可以包括在步骤S510中，也即，可以通过同一条消息来同时发送第一请求以及AI模型的定位性能。
图6是根据一示例性实施例示出的一种通信方法。该通信方法应用于终端，如图6所示，该方法可以包括：
S610，通过LPP消息向定位管理功能设备发送第一信息，第一信息用于确定终端部署的AI模型的定位性能。
本公开实施例中，终端可以向定位管理功能设备发送LPP消息，该LPP消息包括第一信息。
采用上述方法，终端可以通过LPP消息向定位管理功能设备发送用于确定终端部署的AI模型的定位性能的信息。
在一些实施方式中，用于发送第一信息的LPP消息可以是LPP location information response消息。
在一些实施方式中，终端可以根据定位管理功能设备发送的请求来向定位管理功能设备发送用于确定终端部署的AI模型的定位性能的信息。
在一些实施方式中，第一信息包括第一子信息、第二子信息、第三子信息以及第四子信息中至少一者，第一子信息包括基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息，第二子信息包括基于AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值，第三子信息包括表征基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息之间的差异的信息，第四子信息包括表征基于AI模型确定的终端的定位测量值以及基于传统定位算法确定的终端的定位测量值之间的差异的信息。
在一些实施方式中，第一子信息包括的各个位置信息关联第一标识，第一标识指示确定位置信息时使用的定位算法。
在一些实施方式中，第二子信息包括的基于AI模型确定的定位测量值关联第二标识，第二标识指示基于AI模型确定的定位测量值。
在一些实施方式中，接收定位管理功能设备发送的AI模型的定位性能，包括：
接收定位管理功能设备发送的表征AI模型是否满足预设定位精度的信息，或者接收定位管理功能设备发送的指示终端停止使用AI模型的信息，或者接收定位管理功能设备发送的指示终端停止更换AI模型的信息，或者接收定位管理功能设备发送的指示终端更新AI模型参数的信息。
在一些实施方式中，本公开实施例的方法还可以包括步骤：接收定位管理功能设备发送 的AI模型的定位性能。
图7是根据一示例性实施例示出的一种通信方法。该通信方法应用于终端，这种情况下，如图7所示，该方法可以包括：
S710，接收定位管理功能设备发送的用于对AI模型的参数进行更新的第二信息。
S720，向定位管理功能设备发送第一信息，第一信息用于确定终端部署的AI模型的定位性能。
本公开实施例中，定位管理功能设备可以向终端发送用于对AI模型的参数进行更新的第二信息，从而，终端可以接收定位管理功能设备发送的第二信息。
在一些实施方式中，本公开实施例的方法还可以包括步骤：接收定位管理功能设备发送的AI模型的定位性能。
本公开实施例中，定位管理功能设备可以向终端发送AI模型的定位性能，从而便于终端了解到部署的AI模型的定位性能。
需要说明的是，在一些实施方式中，接收定位管理功能设备发送的AI模型的定位性能的步骤可以包括在步骤S710中，也即，在一些情况下，可以通过同一条消息来同时发送第二信息以及AI模型的定位性能。
在一些情况下，AI模型是待训练的AI模型，例如初始AI模型，也即，AI模型需要经过样本数据进行训练之后，进行部署使用，因此，在一些实施方式中，终端接收到定位管理功能设备发送的第二信息之后，可以利用第二信息对待训练的AI模型进行训练，即利用第二信息对待训练的AI模型的参数进行更新，从而得到终端部署的AI模型。在得到终端部署的AI模型之后，便可以基于AI模型计算对应的数据来组成第一信息，以便于终端后续能够向定位管理功能设备发送第一信息。
此外，在另一些情况下，AI模型在经过样本数据进行训练并进行部署使用之后，根据不同的实际使用需求，可能存在性能不满足实际使用需求的情况，这种情况下，可以对部署的AI模型参数进行优化更新。因此，在另一些实施方式中，在接收到定位管理功能设备发送的第二信息之后，可以利用第二信息对终端部署的AI模型的参数进行优化更新，即利用第二信息对部署的AI模型的参数进行更新，从而得到终端部署的参数更新后的AI模型。
需要说明的是，本公开实施例中，终端接收定位管理功能设备发送的用于对AI模型的参数进行更新的第二信息的时机不作限定。例如，可以是在向定位管理功能设备发送第一信息之前接收，又例如，还可以是在接收定位管理功能设备发送的AI模型的定位性能的同时，或者在接收定位管理功能设备发送的AI模型的定位性能之后接收。
同样地，定位管理功能设备发送第二信息的时机也不作限定，例如，定位管理功能设备可以在终端向定位管理功能设备发送第一信息之前，向终端发送第二信息，又例如，定位管理功能设备可以在接收到终端发送的第一信息，并根据第一信息确定终端的定位性能不满足要求时，向终端发送第二信息。
在一些实施方式中，第二信息包括定位测量值与终端的位置信息之间的对应关系，基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值的对应关系，信道冲激响应与定位测量值之间的对应关系，以及信道冲激响应与终端的位置信息之间的对应关系中至少一者。
其中，在第二信息包括定位测量值与终端的位置信息之间的对应关系时，训练得到的AI模型在使用时是以定位测量值为输入，终端的位置信息为输出。
在第二信息包括基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值之间的对应关系时，训练得到的AI模型在使用时是以基于传统定位算法确定的定位测量值为输入，基于AI模型确定的定位测量值为输出。
在第二信息包括信道冲激响应与终端的位置信息之间的对应关系时，训练得到的AI模型在使用时是以信道冲激响应为输入，终端的位置信息为输出。
在第二信息包括信道冲激响应与定位测量值之间的对应关系时，训练得到的AI模型在 使用时是以信道冲激响应为输入，定位测量值为输出。
此外，本公开的实施例中关于步骤S720的相关实现方式可以参考前述实施例，此处不再赘述。
图8是根据一示例性实施例示出的一种通信方法。该通信方法应用于终端，如图8所示，该方法可以包括：
S810，接收定位管理功能设备发送的用于对AI模型的参数进行更新的第二信息。
采用上述方法，终端可以接收定位管理功能设备发送的用于对AI模型的参数进行更新的第二信息，从而便于终端后续可以对AI模型的参数进行更新。
其中，对AI模型的参数进行更新的时机以及接收第二信息的时机可以参考前述实施例，此处不再赘述。
图9是根据一示例性实施例示出的一种通信方法。该通信方法应用于终端，这种情况下，如图9所示，该方法可以包括：
S910，通过LPP消息接收定位管理功能设备发送的用于对AI模型的参数进行更新的第二信息。
S920，向定位管理功能设备发送第一信息，第一信息用于确定终端部署的AI模型的定位性能。
本公开实施例中，定位管理功能设备可以向终端发送LPP消息，该LPP消息包括第二信息。也即，采用上述方法，可以通过LPP消息接收定位管理功能设备发送的第二信息。
可选地，用于发送第二信息的LPP消息可以是LPP assistance information response消息。
在一些实施方式中，第二信息包括定位测量值与终端的位置信息之间的对应关系，基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值的对应关系，信道冲激响应与定位测量值之间的对应关系，以及信道冲激响应与终端的位置信息之间的对应关系中至少一者。
此外，本公开的实施例中关于定位管理功能设备发送第二信息的时机以及终端基于第二信息对AI模型进行更新的相关描述可以参考前述实施例，此处不再赘述。
此外，本公开的实施例中关于步骤S920的相关实现方式可以参考前述实施例，此处不再赘述。
在一些实施方式中，本公开实施例的方法还可以包括步骤：接收定位管理功能设备发送的AI模型的定位性能。
需要说明的是，在一些实施方式中，接收定位管理功能设备发送的AI模型的定位性能的步骤可以包括在步骤S910中，也即，在一些情况下，可以通过同一条LPP消息来同时发送第二信息以及AI模型的定位性能。
图10是根据一示例性实施例示出的一种通信方法。该通信方法应用于终端，这种情况下，如图10所示，该方法可以包括：
S1010，向定位管理功能设备发送用于请求第二信息的第二请求。
S1020，接收定位管理功能设备发送的用于对AI模型的参数进行更新的第二信息。
S1030，向定位管理功能设备发送第一信息，第一信息用于确定终端部署的AI模型的定位性能。
采用上述方法，终端可以向定位管理功能设备发送第二请求，从而定位管理功能设备可以响应于第二请求，向终端发送第二信息，从而终端便可以接收定位管理功能设备发送的第二信息。
在一些实施方式中，终端可以通过LPP消息向定位管理功能设备发送的第二请求。也即，终端可以向定位管理功能设备发送LPP消息，该LPP消息包括第二请求。
可选地，用于发送第二请求的LPP消息可以是LPP request assistance information消息。
在一些实施方式中，终端可以通过LPP消息接收定位管理功能设备发送的第二信息。可选地，用于发送第二信息的LPP消息可以是LPP provide assistance information消息。
在一些实施方式中，第二信息包括定位测量值与终端的位置信息之间的对应关系，基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值的对应关系，信道冲激响应与定位测量值之间的对应关系，以及信道冲激响应与终端的位置信息之间的对应关系中至少一者。
需要说明的是，本公开实施例中，终端向定位管理功能设备发送第二请求的时机不作限定。例如，可以是在向定位管理功能设备发送第一信息之前发送，又例如，还可以是在接收定位管理功能设备发送的AI模型的定位性能之后发送。从而定位管理功能设备便可以响应于第二请求，向终端发送第二信息。
在一些实施方式中，本公开实施例的方法还可以包括步骤：接收定位管理功能设备发送的AI模型的定位性能。
需要说明的是，在一些实施方式中，接收定位管理功能设备发送的AI模型的定位性能的步骤可以包括在步骤S1020中，也即，在一些情况下，可以通过同一条消息来同时发送第二信息以及AI模型的定位性能。
此外，本公开的实施例中关于终端基于第二信息对AI模型进行更新的相关描述可以参考前述实施例，此处不再赘述。
此外，本公开的实施例中关于步骤S1030的相关实现方式可以参考前述实施例，此处不再赘述。
图11是根据一示例性实施例示出的一种通信方法。该通信方法应用于终端，这种情况下，如图11所示，该方法可以包括：
S1110，向定位管理功能设备发送用于请求第二信息的第二请求。
S1120，接收定位管理功能设备发送的用于对AI模型的参数进行更新的第二信息。
采用上述方法，终端可以向定位管理功能设备发送第二请求，从而定位管理功能设备可以响应于第二请求，向终端发送第二信息。
采用上述方法，终端可以向定位管理功能设备发送第二请求，从而定位管理功能设备可以响应于第二请求，向终端发送第二信息。
图12是根据一示例性实施例示出的一种通信方法。该通信方法应用于终端，这种情况下，如图12所示，该方法可以包括：
S1210，通过LPP request assistance information消息向定位管理功能设备发送用于请求第二信息的第二请求。
其中，第二信息用于对AI模型的参数进行更新。
S1220，通过LPP provide assistance information消息接收定位管理功能设备发送的第二信息。
S1230，通过LPP request location information消息接收定位管理功能设备发送的第一请求。
S1240，响应于第一请求，通过LPP provide location information消息向定位管理功能设备发送第一信息。
在一些实施方式中，本公开实施例的方法还可以包括步骤：接收定位管理功能设备发送的AI模型的定位性能。
本公开实施例中，定位管理功能设备可以向终端发送AI模型的定位性能，从而便于终端了解到部署的AI模型的定位性能。
需要说明的是，在一些实施方式中，接收定位管理功能设备发送的AI模型的定位性能的步骤可以包括在步骤S1220中或者步骤S1230中，也即，在一些情况下，可以通过同一条消息来同时发送第二信息以及AI模型的定位性能，或者通过同一条消息来同时发送第一请求以及AI模型的定位性能。
图13是根据一示例性实施例示出的一种通信方法，可以应用于上述通信系统中的定位管理功能设备，如图13所示，该方法可以包括：
S1310，接收终端发送的第一信息。
S1320，根据第一信息，确定终端部署的AI模型的定位性能。
采用上述方法，定位管理功能设备可以接收终端发送的第一信息，根据第一信息确定终端部署的AI模型的定位性能，从而定位管理功能设备便可以获取到终端部署的AI模型的定位性能。
在一些实施方式中，第一信息包括第一子信息、第二子信息、第三子信息以及第四子信息中至少一者，第一子信息包括基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息，第二子信息包括基于AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值，第三子信息包括表征基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息之间的差异的信息，第四子信息包括表征基于AI模型确定的终端的定位测量值以及基于传统定位算法确定的终端的定位测量值之间的差异的信息。
本公开实施例中，可以在终端部署用于确定终端的位置信息的AI模型，或者可以在终端部署用于确定终端的检测的定位测量值的AI模型。此外，还可以在终端部署传统定位算法，例如，DL-TDOA，multi-RTT，DL-AOD或者E-CID等定位算法。这样，终端便可以根据AI模型以及传统定位算法的部署情况，基于AI模型确定终端的位置信息以及基于传统定位算法确定终端的位置信息，从而得到第一子信息，或者，基于AI模型确定定位测量值以及基于传统定位算法确定定位测量值，从而得到第二子信息。
其中，定位测量值例如可以是参考信号的到达时间差(Reference Signal Time Difference，RSTD)，参考信号接收功率(Reference Signal Received Power，RSRP)，定位参考信号接收路径功率(Reference signal Received Path Power，RSRPP)等，这依据所部署的传统定位算法而确定。
此外，终端在基于AI模型确定终端的位置信息以及基于传统定位算法确定终端的位置信息之后，可以进一步确定表征基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息之间的差异的信息，从而得到第三子信息。
例如，可以将基于AI模型确定终端的位置信息与基于传统定位算法确定终端的位置信息的距离确定为表征差异的信息。
此外，终端在基于AI模型确定定位测量值以及基于传统定位算法确定定位测量值之后，可以进一步确定表征基于AI模型确定的终端的定位测量值以及基于传统定位算法确定的终端的定位测量值之间的差异的信息，从而得到第四子信息。
例如，可以将基于AI模型确定的终端的定位测量值以及基于传统定位算法确定的终端的定位测量值的差值确定为表征差异的信息。
在一些实施方式中，终端发送的第一信息至少可以同时包括记载第一子信息、第二子信息、第三子信息以及第四子信息的字段，从而，在需要向定位管理功能设备发送哪个子信息时，则启用对应的字段来填充对应的子信息。
在一些实施方式中，当第一信息包括第一子信息时，定位管理功能设备可以获取基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息的第一距离，通过第一距离与第一阈值比较，确定终端部署的AI模型的定位性能是否满足要求。
在一些实施方式中，当第一信息包括第二子信息时，可选地，定位管理功能设备可以获取基于AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值的差值，通过差值与第二阈值比较，确定终端部署的AI模型的定位性能是否满足要求。可选地，定位管理功能设备可以基于AI模型确定的定位测量值计算得到终端的位置信息，以及基于传统定位算法确定的定位测量值计算得到终端的位置信息，然后获取两个计算得到的位置信息之间的第二距离，通过第二距离与第三阈值比较，确定终端部署的AI模型的定位性能是否满足要求。
在一些实施方式中，当第一信息包括第三子信息时，定位管理功能设备可以通过第三子信息与第四阈值比较，确定终端部署的AI模型的定位性能是否满足要求。
在一些实施方式中，当第一信息包括第四子信息时，定位管理功能设备可以通过第四子 信息与第五阈值比较，确定终端部署的AI模型的定位性能是否满足要求。
在一些实施方式中，当第一距离小于第一阈值时，确定定位性能满足要求，否则定位性能不满足要求。
在一些实施方式中，当差值小于第二阈值时，确定定位性能满足要求，否则定位性能不满足要求。
在一些实施方式中，当第二距离小于第三阈值，确定定位性能满足要求，否则定位性能不满足要求。
在一些实施方式中，当第三子信息小于第四阈值时，确定定位性能满足要求，否则定位性能不满足要求。
在一些实施方式中，当第四子信息小于第五阈值时，确定定位性能满足要求，否则定位性能不满足要求。
此外，为了定位管理功能设备能够区分通过何种算法得到的位置信息，在一些实施方式中，第一子信息包括的各个位置信息关联第一标识，第一标识指示确定位置信息时使用的定位算法。
例如，可以对通过AI模型确定的位置信息添加用于表征该位置信息由AI模型确定的第一标识。又例如，可以对通过DL-TDOA定位算法确定的位置信息添加用于表征该位置信息由DL-TDOA定位算法确定的第一标识。
此外，为了定位管理功能设备能够区分通过何种算法得到的定位测量值，在一些实施方式中，第二子信息包括的基于AI模型确定的定位测量值关联第二标识，第二标识指示基于AI模型确定的定位测量值。
本公开实施例中，考虑到不同定位测量值之间参数单位或者数量级存在较大差异，因此，可以只对第二子信息包括的基于AI模型确定的定位测量值关联第二标识。
在一些实施方式中，本公开实施例的方法还可以包括步骤：向终端发送AI模型的定位性能。
可选地，定位性能可以是定位精度是否满足要求。因此，在一些实施方式中，向终端发送AI模型的定位性能，包括：
向终端发送表征AI模型是否满足预设定位精度的信息；或者向终端发送指示终端停止使用AI模型的信息；或者向终端发送指示终端停止更换AI模型的信息；或者向终端发送指示终端更新AI模型参数的信息。
图14是根据一示例性实施例示出的一种通信方法。该通信方法应用于定位管理功能设备，这种情况下，如图14所示，该方法可以包括：
S1410，向终端发送AI模型的定位性能。
采用上述方法，定位管理功能设备可以向终端发送AI模型的定位性能。
定位管理功能发送给终端的AI模型的定位性能，可以有多种获得方式。可选地，可以是定位管理功能设备接收到终端发送的用于确定AI模型的定位性能的第一信息之后，对第一信息进行分析处理确定的。可选地，还可以是定位管理功能设备从外部应用获取的终端的定位性能。
图15是根据一示例性实施例示出的一种通信方法。该通信方法应用于定位管理功能设备，这种情况下，如图15所示，该方法可以包括：
S1510，向终端发送用于请求第一信息的第一请求。
S1520，接收终端发送的第一信息。
采用上述方法，定位管理功能设备可以向终端发送第一请求，从而终端可以根据定位管理功能设备发送的第一请求来向定位管理功能设备发送第一信息。
在一些实施方式中，定位管理功能设备在确定终端部署的AI模型的定位性能之后，可以向终端发送AI模型的定位性能。
定位管理功能发送给终端的AI模型的定位性能，可以有多种获得方式。可选地，可以 是定位管理功能设备接收到终端发送的用于确定AI模型的定位性能的第一信息之后，对第一信息进行分析处理确定的，也即，定位管理功能设备可以根据第一信息，确定终端部署的AI模型的定位性能。可选地，还可以是定位管理功能设备从外部应用获取的终端的定位性能。
在一些实施方式中，可以通过同一条消息发送第一请求以及AI模型的定位性能。
在一些实施方式中，第一请求可以包括指示具体请求的内容的信息。
例如，第一请求可以包括用于指示终端提供第一子信息、第二子信息、第三子信息以及第四子信息中至少一者的信息。
在一些实施方式中，定位管理功能设备可以通过LPP消息向终端发送第一请求，也即，定位管理功能设备可以向终端发送LPP消息，该LPP消息包括第一请求。
可选地，用于发送第一请求的LPP消息可以是LPP location information request消息。
在一些实施方式中，终端在获取到部署的AI模型的定位性能之后，可以进行后续的处理，例如，可以在确定定位性能不满足要求时，对AI模型参数进行更新，又例如，将部署的AI模型用于确定终端的位置信息或者用于确定终端的定位测量值。
在一些实施方式中，第一信息包括第一子信息、第二子信息、第三子信息以及第四子信息中至少一者，第一子信息包括基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息，第二子信息包括基于AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值，第三子信息包括表征基于AI模型确定的终端的位置信息以及基于传统定位算法确定的终端的位置信息之间的差异的信息，第四子信息包括表征基于AI模型确定的终端的定位测量值以及基于传统定位算法确定的终端的定位测量值之间的差异的信息。
此外，为了定位管理功能设备能够区分通过何种算法得到的位置信息，在一些实施方式中，第一子信息包括的各个位置信息关联第一标识，第一标识指示确定位置信息时使用的定位算法。
此外，为了定位管理功能设备能够区分通过何种算法得到的定位测量值，在一些实施方式中，第二子信息包括的基于AI模型确定的定位测量值关联第二标识，第二标识指示基于AI模型确定的定位测量值。
图16是根据一示例性实施例示出的一种通信方法。该通信方法应用于定位管理功能设备，这种情况下，如图16所示，该方法可以包括：
S1610，向终端发送AI模型的定位性能。
S1620，通过LPP消息接收终端发送的第一信息。
本公开实施例中，终端可以向定位管理功能设备发送LPP消息，该LPP消息包括第一信息。
在一些实施方式中，定位管理功能设备在确定终端部署的AI模型的定位性能之后，可以向终端发送AI模型的定位性能。
定位管理功能发送给终端的AI模型的定位性能，可以有多种获得方式。可选地，可以是定位管理功能设备接收到终端发送的用于确定AI模型的定位性能的第一信息之后，对第一信息进行分析处理确定的，也即，定位管理功能设备可以根据第一信息，确定终端部署的AI模型的定位性能。可选地，还可以是定位管理功能设备从外部应用获取的终端的定位性能。
图17是根据一示例性实施例示出的一种通信方法。该通信方法应用于定位管理功能设备，这种情况下，如图17所示，该方法可以包括：
S1710，向终端发送用于对AI模型的参数进行更新的第二信息。
S1720，接收终端发送的第一信息。
本公开实施例中，定位管理功能设备可以向终端发送用于对AI模型的参数进行更新的第二信息，从而，终端可以接收定位管理功能设备发送的第二信息。
在一些情况下，AI模型是待训练的AI模型，例如初始AI模型，也即，AI模型需要经过样本数据进行训练之后，进行部署使用，因此，在一些实施方式中，终端接收到定位管理功能设备发送的第二信息之后，可以利用第二信息对待训练的AI模型进行训练，即利用第二 信息对待训练的AI模型的参数进行更新，从而得到终端部署的AI模型。在得到终端部署的AI模型之后，便可以基于AI模型计算对应的数据来组成第一信息，以便于终端后续能够向定位管理功能设备发送第一信息。
此外，在另一些情况下，AI模型在经过样本数据进行训练并进行部署使用之后，根据不同的实际使用需求，可能存在性能不满足实际使用需求的情况，这种情况下，可以对部署的AI模型参数进行优化更新。因此，在另一些实施方式中，在接收到定位管理功能设备发送的第二信息之后，可以利用第二信息对终端部署的AI模型的参数进行优化更新，即利用第二信息对部署的AI模型的参数进行更新，从而得到终端部署的参数更新后的AI模型。
需要说明的是，本公开实施例中，对定位管理功能设备发送第二信息的时机不作限定，例如，定位管理功能设备可以在终端向定位管理功能设备发送第一信息之前，向终端发送第二信息，又例如，定位管理功能设备可以在接收到终端发送的第一信息，并根据第一信息确定终端的定位性能不满足要求时，向终端发送第二信息。
在一些实施方式中，第二信息包括定位测量值与终端的位置信息之间的对应关系，基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值的对应关系，信道冲激响应与定位测量值之间的对应关系，以及信道冲激响应与终端的位置信息之间的对应关系中至少一者。
其中，在第二信息包括定位测量值与终端的位置信息之间的对应关系时，训练得到的AI模型在使用时是以定位测量值为输入，终端的位置信息为输出。
在第二信息包括基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值之间的对应关系时，训练得到的AI模型在使用时是以基于传统定位算法确定的定位测量值为输入，基于AI模型确定的定位测量值为输出。
在第二信息包括信道冲激响应与终端的位置信息之间的对应关系时，训练得到的AI模型在使用时是以信道冲激响应为输入，终端的位置信息为输出。
在第二信息包括信道冲激响应与定位测量值之间的对应关系时，训练得到的AI模型在使用时是以信道冲激响应为输入，定位测量值为输出。
在一些实施方式中，定位管理功能设备在确定终端部署的AI模型的定位性能之后，可以向终端发送AI模型的定位性能。
定位管理功能发送给终端的AI模型的定位性能，可以有多种获得方式。可选地，可以是定位管理功能设备接收到终端发送的用于确定AI模型的定位性能的第一信息之后，对第一信息进行分析处理确定的，也即，定位管理功能设备可以根据第一信息，确定终端部署的AI模型的定位性能。可选地，还可以是定位管理功能设备从外部应用获取的终端的定位性能。
在一些实施方式中，可以通过同一条消息发送第二信息以及AI模型的定位性能。
图18是根据一示例性实施例示出的一种通信方法。该通信方法应用于定位管理功能设备，这种情况下，如图18所示，该方法可以包括：
S1810，通过LPP消息向终端发送用于对AI模型的参数进行更新的第二信息。
S1820，接收终端发送的第一信息。
本公开实施例中，定位管理功能设备可以向终端发送LPP消息，该LPP消息包括第二信息。
可选地，用于发送的第二信息的LPP消息可以是LPP provide assistance information消息。
在一些实施方式中，第二信息包括定位测量值与终端的位置信息之间的对应关系，基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值的对应关系，信道冲激响应与定位测量值之间的对应关系，以及信道冲激响应与终端的位置信息之间的对应关系中至少一者。
在一些实施方式中，定位管理功能设备在确定终端部署的AI模型的定位性能之后，可以向终端发送AI模型的定位性能。
定位管理功能发送给终端的AI模型的定位性能，可以有多种获得方式。可选地，可以 是定位管理功能设备接收到终端发送的用于确定AI模型的定位性能的第一信息之后，对第一信息进行分析处理确定的，也即，定位管理功能设备可以根据第一信息，确定终端部署的AI模型的定位性能。可选地，还可以是定位管理功能设备从外部应用获取的终端的定位性能。
在一些实施方式中，可以通过同一条消息发送第二信息以及AI模型的定位性能。
此外，本公开的实施例中关于定位管理功能设备发送第二信息的时机以及终端基于第二信息对AI模型进行更新的相关描述可以参考前述实施例，此处不再赘述。
图19是根据一示例性实施例示出的一种通信方法。该通信方法应用于定位管理功能设备，这种情况下，如图19所示，该方法可以包括：
S1910，接收终端发送的用于请求第二信息的第二请求。
S1920，响应于第二请求，向终端发送第二信息。
S1930，接收终端发送的第一信息。
采用上述方法，终端可以向定位管理功能设备发送第二请求来请求第二信息，从而定位管理功能设备可以响应于第二请求，向终端发送第二信息。
在一些实施方式中，终端可以通过LPP消息向定位管理功能设备发送的第二请求。也即，终端可以向定位管理功能设备发送LPP消息，该LPP消息包括第二请求。从而，定位管理功能设备可以通过LPP消息接收终端发送的第二请求。
可选地，用于发送的第二请求的LPP消息可以是LPP request assistance information消息。
在一些实施方式中，定位管理功能设备可以通过LPP消息向终端发送第二信息。可选地，用于发送的第二信息的LPP消息可以是LPP provide assistance information消息。
在一些实施方式中，第二信息包括定位测量值与终端的位置信息之间的对应关系，基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值的对应关系，信道冲激响应与定位测量值之间的对应关系，以及信道冲激响应与终端的位置信息之间的对应关系中至少一者。
此外，本公开的实施例中关于定位管理功能设备发送第二信息的时机以及终端基于第二信息对AI模型进行更新的相关描述可以参考前述实施例，此处不再赘述。
在一些实施方式中，定位管理功能设备在确定终端部署的AI模型的定位性能之后，可以向终端发送AI模型的定位性能。
定位管理功能发送给终端的AI模型的定位性能，可以有多种获得方式。可选地，可以是定位管理功能设备接收到终端发送的用于确定AI模型的定位性能的第一信息之后，对第一信息进行分析处理确定的，也即，定位管理功能设备可以根据第一信息，确定终端部署的AI模型的定位性能。可选地，还可以是定位管理功能设备从外部应用获取的终端的定位性能。
在一些实施方式中，可以通过同一条消息发送第二信息以及AI模型的定位性能。
图20是根据一示例性实施例示出的一种通信方法。该通信方法应用于定位管理功能设备，这种情况下，如图20所示，该方法可以包括：
S2010，通过LPP request assistance information消息接收终端发送的用于请求第二信息的第二请求。
其中，第二信息用于对AI模型的参数进行更新。
S2020，响应于第二请求，通过LPP provide assistance information消息向终端发送的第二信息。
S2030，通过LPP request location information消息向终端发送的第一请求。
S2040，通过LPP provide location information消息接收终端发送第一信息。
在一些实施方式中，定位管理功能设备在确定终端部署的AI模型的定位性能之后，可以向终端发送AI模型的定位性能。
定位管理功能发送给终端的AI模型的定位性能，可以有多种获得方式。可选地，可以是定位管理功能设备接收到终端发送的用于确定AI模型的定位性能的第一信息之后，对第一信息进行分析处理确定的，也即，定位管理功能设备可以根据第一信息，确定终端部署的AI 模型的定位性能。可选地，还可以是定位管理功能设备从外部应用获取的终端的定位性能。
在一些实施方式中，可以通过同一条消息发送第二信息以及AI模型的定位性能，或者可以通过同一条消息发送第一请求以及AI模型的定位性能。
图21是根据一示例性实施例示出的一种通信方法。如图20所示，该通信方法可以包括：
S2110，定位管理功能设备通过LPP消息向终端发送用于请求第一信息的第一请求。
可选地，用于向终端发送第一请求的LPP消息可以是LPP request location information消息。
S2120，终端响应于第一请求，通过LPP消息向定位管理功能设备发送第一信息。
可选地，用于向定位管理功能设备发送第一信息的LPP消息可以是LPP provide location information消息。
S2130，定位管理功能设备根据第一信息，确定终端部署的AI模型的定位性能。
S2140，终端通过LPP消息向定位管理功能设备发送用于请求第二信息的第二请求。
可选地，用于向向定位管理功能设备发送第二请求的LPP消息可以是LPP request assistance information消息。
S2150，定位管理功能设备通过LPP消息向终端发送第二信息。
可选地，用于向终端发送第二消息的LPP消息可以是LPP provide assistance information。
其中，第二信息用于终端对自身部署的AI模型的参数进行更新。
在一些实施方式中，步骤S2140以及步骤S2150可以在步骤S2110之前执行。
图22是根据一示例性实施例示出的一种通信装置2200的框图，该通信装置可以应用于终端，如图22所示，该装置2200可以包括：
第一发送模块2210，被配置为向定位管理功能设备发送第一信息，所述第一信息用于确定所述终端部署的AI模型的定位性能。
在一些实施例中，装置2200还包括：
第一接收模块，被配置为接收所述定位管理功能设备发送的所述AI模型的定位性能。
在一些实施例中，第一发送模块2210还被配置为接收所述定位管理功能设备发送的第一请求；响应于所述第一请求，向所述定位管理功能设备发送所述第一信息。
在一些实施例中，第一发送模块2210还被配置为通过LPP消息接收所述定位管理功能设备发送的第一请求；响应于所述第一请求，通过LPP消息向定位管理功能设备发送第一信息。
在一些实施例中，所述第一信息包括第一子信息、第二子信息、第三子信息以及第四子信息中至少一者，所述第一子信息包括基于所述AI模型确定的所述终端的位置信息以及基于传统定位算法确定的所述终端的位置信息，所述第二子信息包括基于所述AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值，所述第三子信息包括表征基于所述AI模型确定的所述终端的位置信息以及基于传统定位算法确定的所述终端的位置信息之间的差异的信息，所述第四子信息包括表征基于所述AI模型确定的所述终端的定位测量值以及基于传统定位算法确定的所述终端的定位测量值之间的差异的信息。
在一些实施例中，所述第一子信息包括的各个位置信息关联第一标识，所述第一标识指示确定所述位置信息时使用的定位算法。
在一些实施例中，所述第二子信息包括的基于所述AI模型确定的定位测量值关联第二标识，所述第二标识指示基于所述AI模型确定的定位测量值。
在一些实施例中，第一接收模块还被配置为接收所述定位管理功能设备发送的表征所述AI模型是否满足预设定位精度的信息；或者还被配置为接收所述定位管理功能设备发送的指示所述终端停止使用所述AI模型的信息；或者还被配置为接收所述定位管理功能设备发送的指示所述终端停止更换所述AI模型的信息；或者还被配置为接收所述定位管理功能设备发送的指示所述终端更新所述AI模型参数的信息。
在一些实施例中，装置2200还包括：
第二接收模块，被配置为接收所述定位管理功能设备发送的用于对所述AI模型的参数进行更新的第二信息。
在一些实施例中，第二接收模块还被配置为通过LPP消息接收所述定位管理功能设备发送的所述第二信息。
在一些实施例中，装置2200还包括：
第二发送模块，被配置为向所述定位管理功能设备发送用于请求所述第二信息的第二请求。
在一些实施例中，第二发送模块还被配置为通过LPP消息向所述定位管理功能设备发送所述第二请求。
在一些实施例中，所述第二信息包括定位测量值与终端的位置信息之间的对应关系，基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值的对应关系，信道冲激响应与定位测量值之间的对应关系，以及信道冲激响应与终端的位置信息之间的对应关系中至少一者。
图23是根据一示例性实施例示出的一种通信装置2300的框图，该通信装置可以应用于定位管理功能设备，如图23所示，该装置2300可以包括：
第三接收模块2310，被配置为接收终端发送的第一信息；
确定模块2320，被配置为根据所述第一信息，确定所述终端部署的AI模型的定位性能。
在一些实施例中，装置2300还包括：
第三发送模块，被配置为向所述终端发送所述AI模型的定位性能。
在一些实施例中，装置2300还包括：
第四发送模块，被配置为向所述终端发送用于请求所述第一信息的第一请求。
在一些实施例中，装置2300还包括：
第一请求发送模块，被配置为通过LPP消息向所述终端发送用于请求所述第一信息的第一请求；这种情况下，第三接收模块2310还被配置为通过LPP消息接收终端发送的第一信息。
在一些实施例中，所述第一信息包括第一子信息、第二子信息、第三子信息以及第四子信息中至少一者，所述第一子信息包括基于所述AI模型确定的所述终端的位置信息以及基于传统定位算法确定的所述终端的位置信息，所述第二子信息包括基于所述AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值，所述第三子信息包括表征基于所述AI模型确定的所述终端的位置信息以及基于传统定位算法确定的所述终端的位置信息之间的差异的信息，所述第四子信息包括表征基于所述AI模型确定的所述终端的定位测量值以及基于传统定位算法确定的所述终端的定位测量值之间的差异的信息。
在一些实施例中，所述第一子信息包括的各个位置信息关联第一标识，所述第一标识指示确定所述位置信息时使用的定位算法。
在一些实施例中，所述第二子信息包括的基于所述AI模型确定的定位测量值关联第二标识，所述第二标识指示基于所述AI模型确定的定位测量值。
在一些实施例中，第三发送模块还被配置为向所述终端发送表征所述AI模型是否满足预设定位精度的信息；或者还被配置为向所述终端发送指示所述终端停止使用所述AI模型的信息；或者还被配置为向所述终端发送指示所述终端停止更换所述AI模型的信息；或者还被配置为向所述终端发送指示所述终端更新所述AI模型参数的信息。
在一些实施例中，装置2300还包括：
第五发送模块，被配置为向所述终端发送用于对所述AI模型的参数进行更新的第二信息。
在一些实施例中，第五发送模块还被配置为通过LPP消息向所述终端发送所述第二信息。
在一些实施例中，第五发送模块还被配置为接收所述终端发送的用于请求所述第二信息的第二请求；响应于所述第二请求，向所述终端发送所述第二信息。
在一些实施例中，装置2300还包括：
第四接收模块，被配置为通过LPP消息接收所述终端发送的所述第二请求。
在一些实施例中，所述第二信息包括定位测量值与终端的位置信息之间的对应关系，基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值的对应关系，信道冲激响应与定位测量值之间的对应关系，以及信道冲激响应与终端的位置信息之间的对应关系中至少一者。
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。
图24是根据一示例性实施例示出的一种通信装置的框图。该通信装置2400可以是图1所示通信系统中的定位管理功能设备。参照图24，该装置2400可以包括以下一个或多个组件：处理组件2402，存储器2404，以及通信组件2406。
处理组件2402可以用于控制该装置2400的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件2402可以包括一个或多个处理器2420来执行指令，以完成上述的通信方法的全部或部分步骤。此外，处理组件2402可以包括一个或多个模块，便于处理组件2402和其他组件之间的交互。例如，处理组件2402可以包括多媒体模块，以方便多媒体组件和处理组件2402之间的交互。
存储器2404被配置为存储各种类型的数据以支持在装置2400的操作。这些数据的示例包括用于在装置2400上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器2404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，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
通信组件2406被配置为便于装置2400和其他设备之间有线或无线方式的通信。装置2400可以接入基于通信标准的无线网络，例如Wi-Fi，2G、3G、4G、5G、6G、NB-IOT、eMTC等，或它们的组合。在一个示例性实施例中，通信组件2406经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件2406还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
图25是根据一示例性实施例示出的一种通信装置的框图。例如，通信装置2500可以是图1所示通信系统中的终端，该终端例如可以是手机、相机、笔记本、平板电脑以及智能可穿戴设备等。
参照图25，通信装置2500可以包括以下一个或多个组件：处理组件2502，存储器2504，电源组件2506，多媒体组件2508，音频组件2510，输入/输出接口2512，传感器组件2514，以及通信组件2516。
处理组件2502通常控制通信装置2500的整体操作，诸如与显示，电话呼叫，数据通信，相机操作和记录操作相关联的操作。处理组件2502可以包括一个或多个处理器2520来执行指令，以完成上述的方法的全部或部分步骤。此外，处理组件2502可以包括一个或多个模块，便于处理组件2502和其他组件之间的交互。例如，处理组件2502可以包括多媒体模块，以方便多媒体组件2508和处理组件2502之间的交互。
存储器2504被配置为存储各种类型的数据以支持在通信装置2500的操作。这些数据的示例包括用于在通信装置2500上操作的任何应用程序或方法的指令，联系人数据，电话簿数据，消息，图片，视频等。存储器2504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，如静态随机存取存储器(SRAM)，电可擦除可编程只读存储器(EEPROM)，可擦除可编程只读存储器(EPROM)，可编程只读存储器(PROM)，只读存储器(ROM)，磁存储器，快闪存储器，磁盘或光盘。
电源组件2506为通信装置2500的各种组件提供电力。电源组件2506可以包括电源管 理系统，一个或多个电源，及其他与为通信装置2500生成、管理和分配电力相关联的组件。
多媒体组件2508包括在所述通信装置2500和用户之间的提供一个输出接口的屏幕。在一些实施例中，屏幕可以包括液晶显示器(LCD)和触摸面板(TP)。如果屏幕包括触摸面板，屏幕可以被实现为触摸屏，以接收来自用户的输入信号。触摸面板包括一个或多个触摸传感器以感测触摸、滑动和触摸面板上的手势。所述触摸传感器可以不仅感测触摸或滑动动作的边界，而且还检测与所述触摸或滑动操作相关的持续时间和压力。在一些实施例中，多媒体组件2508包括一个前置摄像头和/或后置摄像头。当通信装置2500处于操作模式，如拍摄模式或视频模式时，前置摄像头和/或后置摄像头可以接收外部的多媒体数据。每个前置摄像头和后置摄像头可以是一个固定的光学透镜系统或具有焦距和光学变焦能力。
音频组件2510被配置为输出和/或输入音频信号。例如，音频组件2510包括一个麦克风(MIC)，当通信装置2500处于操作模式，如呼叫模式、记录模式和语音识别模式时，麦克风被配置为接收外部音频信号。所接收的音频信号可以被进一步存储在存储器2504或经由通信组件2516发送。在一些实施例中，音频组件2510还包括一个扬声器，用于输出音频信号。
输入/输出接口2512为处理组件2502和外围接口模块之间提供接口，上述外围接口模块可以是键盘，点击轮，按钮等。这些按钮可包括但不限于：主页按钮、音量按钮、启动按钮和锁定按钮。
传感器组件2514包括一个或多个传感器，用于为通信装置2500提供各个方面的状态评估。例如，传感器组件2514可以检测到通信装置2500的打开/关闭状态，组件的相对定位，例如所述组件为通信装置2500的显示器和小键盘，传感器组件2514还可以检测通信装置2500或通信装置2500一个组件的位置改变，用户与通信装置2500接触的存在或不存在，通信装置2500方位或加速/减速和通信装置2500的温度变化。传感器组件2514可以包括接近传感器，被配置用来在没有任何的物理接触时检测附近物体的存在。传感器组件2514还可以包括光传感器，如CMOS或CCD图像传感器，用于在成像应用中使用。在一些实施例中，该传感器组件2514还可以包括加速度传感器，陀螺仪传感器，磁传感器，压力传感器或温度传感器。
通信组件2516被配置为便于通信装置2500和其他设备之间有线或无线方式的通信。通信装置2500可以接入基于通信标准的无线网络，如WiFi，2G或3G，或它们的组合。在一个示例性实施例中，通信组件2516经由广播信道接收来自外部广播管理系统的广播信号或广播相关信息。在一个示例性实施例中，所述通信组件2516还包括近场通信(NFC)模块，以促进短程通信。例如，在NFC模块可基于射频识别(RFID)技术，红外数据协会(IrDA)技术，超宽带(UWB)技术，蓝牙(BT)技术和其他技术来实现。
在示例性实施例中，装置2400或者装置2500可以被一个或多个应用专用集成电路
(ASIC)、数字信号处理器(DSP)、数字信号处理设备(DSPD)、可编程逻辑器件(PLD)、现场可编程门阵列(FPGA)、控制器、微控制器、微处理器或其他电子元件实现，用于执行上述通信方法。
上述装置2400或者装置2500可以是独立的电子设备，也可以是独立电子设备的一部分，例如在一种实施例中，该电子设备可以是集成电路(Integrated Circuit，IC)或芯片，其中该集成电路可以是一个IC，也可以是多个IC的集合；该芯片可以包括但不限于以下种类：GPU(Graphics Processing Unit，图形处理器)、CPU(Central Processing Unit，中央处理器)、FPGA(Field Programmable Gate Array，可编程逻辑阵列)、DSP(Digital Signal Processor，数字信号处理器)、ASIC(Application Specific Integrated Circuit，专用集成电路)、SOC(System on Chip，SoC，片上系统或系统级芯片)等。上述的集成电路或芯片中可以用于执行可执行指令(或代码)，以实现上述通信方法。其中该可执行指令可以存储在该集成电路或芯片中，也可以从其他的装置或设备获取，例如该集成电路或芯片中包括处理器、存储器，以及用于与其他的装置通信的接口。该可执行指令可以存储于该处理器中，当该可执行指令被处理器执行时实现上述通信方法；或者，该集成电路或芯片可以通过该接口接收可执行指令并传输 给该处理器执行，以实现上述通信方法。
在示例性实施例中，本公开还提供了一种计算机可读存储介质，其上存储有计算机程序指令，该程序指令被处理器执行时实现本公开提供的通信方法的步骤。示例地，该计算机可读存储介质可以是一种包括指令的非临时性计算机可读存储介质，例如，可以是包括指令的上述存储器2404或者2504，上述指令可由装置2400的处理器2420或者装置2500的处理器2520执行以完成上述通信方法。例如，所述非临时性计算机可读存储介质可以是ROM、随机存取存储器(RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
在另一示例性实施例中，还提供一种计算机程序产品，该计算机程序产品包含能够由可编程的装置执行的计算机程序，该计算机程序具有当由该可编程的装置执行时用于执行上述通信方法的代码部分。
本领域技术人员在考虑说明书及实践本公开后，将容易想到本公开的其它实施方案。本申请旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由下面的权利要求指出。
应当理解的是，本公开并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。

Claims (29)

  1. 一种通信方法，其特征在于，应用于终端，所述方法包括：
    向定位管理功能设备发送第一信息，所述第一信息用于确定所述终端部署的AI模型的定位性能。
  2. 根据权利要求1所述的方法，其特征在于，所述向定位管理功能设备发送第一信息，包括：
    接收所述定位管理功能设备发送的第一请求；
    响应于所述第一请求，向所述定位管理功能设备发送所述第一信息。
  3. 根据权利要求1或2所述的方法，其特征在于，所述向定位管理功能设备发送第一信息，包括：通过LPP消息接收所述定位管理功能设备发送的第一请求；
    响应于所述第一请求，通过LPP消息向定位管理功能设备发送第一信息。
  4. 根据权利要求1所述的方法，其特征在于，所述第一信息包括第一子信息、第二子信息、第三子信息以及第四子信息中至少一者，所述第一子信息包括基于所述AI模型确定的所述终端的位置信息以及基于传统定位算法确定的所述终端的位置信息，所述第二子信息包括基于所述AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值，所述第三子信息包括表征基于所述AI模型确定的所述终端的位置信息以及基于传统定位算法确定的所述终端的位置信息之间的差异的信息，所述第四子信息包括表征基于所述AI模型确定的所述终端的定位测量值以及基于传统定位算法确定的所述终端的定位测量值之间的差异的信息。
  5. 根据权利要求4所述的方法，其特征在于，所述第一子信息包括的各个位置信息关联第一标识，所述第一标识指示确定所述位置信息时使用的定位算法；
    所述第二子信息包括的基于所述AI模型确定的定位测量值关联第二标识，所述第二标识指示基于所述AI模型确定的定位测量值。
  6. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    接收所述定位管理功能设备发送的所述AI模型的定位性能。
  7. 根据权利要求6所述的方法，其特征在于，所述接收所述定位管理功能设备发送的所述AI模型的定位性能，包括：
    接收所述定位管理功能设备发送的表征所述AI模型是否满足预设定位精度的信息；或者
    接收所述定位管理功能设备发送的指示所述终端停止使用所述AI模型的信息；或者
    接收所述定位管理功能设备发送的指示所述终端停止更换所述AI模型的信息；或者
    接收所述定位管理功能设备发送的指示所述终端更新所述AI模型参数的信息。
  8. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    接收所述定位管理功能设备发送的用于对所述AI模型的参数进行更新的第二信息。
  9. 根据权利要求8所述的方法，其特征在于，所述接收所述定位管理功能设备发送的用于对所述AI模型的参数进行更新的第二信息，包括：
    通过LPP消息接收所述定位管理功能设备发送的所述第二信息。
  10. 根据权利要求8所述的方法，其特征在于，所述方法还包括：
    向所述定位管理功能设备发送用于请求所述第二信息的第二请求。
  11. 根据权利要求10所述的方法，其特征在于，所述向所述定位管理功能设备发送用于请求所述第二信息的第二请求，包括：
    通过LPP消息向所述定位管理功能设备发送所述第二请求。
  12. 根据权利要求8-11任一项所述的方法，其特征在于，所述第二信息包括定位测量值与终端的位置信息之间的对应关系，基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值的对应关系，信道冲激响应与定位测量值之间的对应关系，以及信道冲激响应与终端的位置信息之间的对应关系中至少一者。
  13. 一种通信方法，其特征在于，应用于定位管理功能设备，所述方法包括：
    接收终端发送的第一信息；
    根据所述第一信息，确定所述终端部署的AI模型的定位性能。
  14. 根据权利要求13所述的方法，其特征在于，所述方法还包括：
    向所述终端发送用于请求所述第一信息的第一请求。
  15. 根据权利要求13或14所述的方法，其特征在于，所述方法还包括：
    通过LPP消息向所述终端发送用于请求所述第一信息的第一请求；
    所述接收终端发送的第一信息，包括：
    通过LPP消息接收终端发送的第一信息。
  16. 根据权利要求13所述的方法，其特征在于，所述第一信息包括第一子信息、第二子信息、第三子信息以及第四子信息中至少一者，所述第一子信息包括基于所述AI模型确定的所述终端的位置信息以及基于传统定位算法确定的所述终端的位置信息，所述第二子信息包括基于所述AI模型确定的定位测量值以及基于传统定位算法确定的定位测量值，所述第三子信息包括表征基于所述AI模型确定的所述终端的位置信息以及基于传统定位算法确定的所述终端的位置信息之间的差异的信息，所述第四子信息包括表征基于所述AI模型确定的所述终端的定位测量值以及基于传统定位算法确定的所述终端的定位测量值之间的差异的信息。
  17. 根据权利要求16所述的方法，其特征在于，所述第一子信息包括的各个位置信息关联第一标识，所述第一标识指示确定所述位置信息时使用的定位算法；
    所述第二子信息包括的基于所述AI模型确定的定位测量值关联第二标识，所述第二标识指示基于所述AI模型确定的定位测量值。
  18. 根据权利要求13所述的方法，其特征在于，所述方法还包括：
    向所述终端发送所述AI模型的定位性能。
  19. 根据权利要求18所述的方法，其特征在于，所述向所述终端发送所述AI模型的定位性能，包括：
    向所述终端发送表征所述AI模型是否满足预设定位精度的信息；或者
    向所述终端发送指示所述终端停止使用所述AI模型的信息；或者
    向所述终端发送指示所述终端停止更换所述AI模型的信息；或者
    向所述终端发送指示所述终端更新所述AI模型参数的信息。
  20. 根据权利要求13所述的方法，其特征在于，所述方法还包括：
    向所述终端发送用于对所述AI模型的参数进行更新的第二信息。
  21. 根据权利要求20所述的方法，其特征在于，所述向所述终端发送用于对所述AI模型的参数进行更新的第二信息，包括：
    通过LPP消息向所述终端发送所述第二信息。
  22. 根据权利要求20所述的方法，其特征在于，所述向所述终端发送用于对所述AI模型的参数进行更新的第二信息，包括：
    接收所述终端发送的用于请求所述第二信息的第二请求；
    响应于所述第二请求，向所述终端发送所述第二信息。
  23. 根据权利要求22所述的方法，其特征在于，所述接收所述终端发送的用于请求所述第二信息的第二请求，包括：
    通过LPP消息接收所述终端发送的所述第二请求。
  24. 根据权利要求20-23任一项所述的方法，其特征在于，所述第二信息包括定位测量值与终端的位置信息之间的对应关系，基于传统定位算法确定的定位测量值与基于AI模型确定的定位测量值的对应关系，信道冲激响应与定位测量值之间的对应关系，以及信道冲激响应与终端的位置信息之间的对应关系中至少一者。
  25. 一种通信装置，其特征在于，应用于终端，所述装置包括：
    第一发送模块，被配置为向定位管理功能设备发送第一信息，所述第一信息用于确定所述终端部署的AI模型的定位性能；
    第一接收模块，被配置为接收所述定位管理功能设备发送的所述AI模型的定位性能。
  26. 一种通信装置，其特征在于，应用于定位管理功能设备，所述装置包括：
    第三接收模块，被配置为接收终端发送的第一信息；
    确定模块，被配置为根据所述第一信息，确定所述终端部署的AI模型的定位性能；
    第三发送模块，被配置为向所述终端发送所述AI模型的定位性能。
  27. 一种通信装置，其特征在于，所述装置包括：
    处理器；
    用于存储处理器可执行指令的存储器；
    其中，所述处理器被配置为执行权利要求1至12中任一项所述方法的步骤，或者，所述处理器被配置为执行权利要求13至24中任一项所述方法的步骤。
  28. 一种计算机可读存储介质，其上存储有计算机程序指令，其特征在于，所述计算机程序指令被处理器执行时实现权利要求1至12中任一项所述方法的步骤，或者，所述计算机程序指令被处理器执行时实现权利要求13至24中任一项所述方法的步骤。
  29. 一种芯片，其特征在于，包括处理器和接口；所述处理器用于读取指令以执行权利要求1至12中任一项所述方法的步骤，或者，所述处理器用于读取指令以执行权利要求13至24中任一项所述方法的步骤。
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