Information transmission method and apparatus, and communication device

Abstract

The present application belongs to the technical field of communications. Disclosed are an information transmission method and apparatus, and a communication device. The information transmission method in the embodiments of the present application comprises: a first network element sending first information to a second network element, wherein the first information is used for requesting the acquisition of positioning-related data of a target region; and the first network element receiving second information from a third network element, wherein the second information comprises the positioning-related data of the target region.

Description

Information transmission method, device and communication equipment

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to the Chinese patent application filed with the China Patent Office on November 21, 2023, with application number 202311557414.X and invention name “Information Transmission Method, Device and Communication Equipment”, the Chinese patent application filed with the China Patent Office on February 22, 2024, with application number 202410199089.2 and invention name “Information Transmission Method, Device and Communication Equipment”, and the Chinese patent application filed with the China Patent Office on April 3, 2024, with application number 202410403697.0 and invention name “Information Transmission Method, Device and Communication Equipment”, the entire contents of which are incorporated by reference into this application. Technical Field

[0003] The present application belongs to the field of communication technology, and specifically relates to an information transmission method, apparatus and communication equipment. Background Art

[0004] In the existing process, the channel between the Network Data Analytics Function (NWDAF) and the Access and Mobility Management Function (AMF) and then to the Location Management Function (LMF) can only request and obtain the location information of a single or a group of UEs based on the terminal identification (UE ID) or group identification (group ID). Therefore, NWDAF cannot obtain a large amount of positioning-related data from LMF at one time, resulting in low efficiency. Summary of the Invention

[0005] The embodiments of the present application provide an information transmission method, apparatus, and communication device to improve the efficiency of acquiring positioning-related data.

[0006] In a first aspect, a method for transmitting information is provided, the method comprising:

[0007] The first network element sends first information to the second network element, where the first information is used to request acquisition of positioning-related data of a target area;

[0008] The first network element receives second information from a third network element, where the second information includes positioning-related data of the target area.

[0009] In a second aspect, an information transmission device is provided, applied to a first network element, and characterized by comprising:

[0010] A first sending module is configured to send first information to the second network element, where the first information is used to request acquisition of positioning-related data of a target area;

[0011] The first receiving module is configured to receive second information from a third network element, where the second information includes positioning-related data of the target area.

[0012] In a third aspect, a method for transmitting information is provided, the method comprising:

[0013] The second network element receives first information from the first network element, where the first information is used to request acquisition of positioning-related data of a target area;

[0014] The second network element sends third information to a third network element based on the first information, where the third information is used to request acquisition of positioning-related data of the target area.

[0015] In a fourth aspect, an information transmission device is provided, applied to a second network element, including:

[0016] A second receiving module is configured to receive first information from a first network element, where the first information is used to request acquisition of positioning-related data of a target area;

[0017] The second sending module is used to send third information to a third network element according to the first information, where the third information is used to request to obtain positioning-related data of the target area.

[0018] In a fifth aspect, an information transmission method is provided, comprising:

[0019] The third network element receives third information from the second network element, where the third information is used to request acquisition of positioning-related data of the target area;

[0020] The third network element sends second information to the second network element or the first network element according to the third information, where the second information includes positioning-related data of the target area.

[0021] In a sixth aspect, an information transmission device is provided, applied to a third network element, including:

[0022] A third receiving module is configured to receive third information from the second network element, where the third information is used to request acquisition of positioning-related data of the target area;

[0023] The third sending module is used to send second information to the second network element or the first network element according to the third information, where the second information includes positioning-related data of the target area.

[0024] In a seventh aspect, a method for transmitting information is provided, comprising:

[0025] The fifth network element receives a search request message from the second network element, where the search request message includes at least one of the following: area information corresponding to the target area, an indication of data collection capability supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device to be searched needs to support;

[0026] The fifth network element determines at least one third network element according to the search request message;

[0027] The fifth network element sends feedback information to the second network element, where the feedback information includes information of at least one third network element.

[0028] In an eighth aspect, an information transmission device is provided, applied to a fifth network element, including:

[0029] a fourth receiving module, configured to receive a search request message from the second network element, the search request message including at least one of the following: area information corresponding to the target area, an indication of data collection capability supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device being searched needs to support;

[0030] A first determining module, configured to determine at least one third network element according to the search request message;

[0031] The fourth sending module is used to send feedback information to the second network element, where the feedback information includes information of at least one third network element.

[0032] In a ninth aspect, a method for transmitting information is provided, comprising:

[0033] The fifth network element receives a registration request message from at least one third network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[0034] In a tenth aspect, an information transmission device is provided, applied to a fifth network element, including:

[0035] The fifth receiving module is used to receive a registration request message from at least one third network element, where the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, information on its ability to support AI positioning, its ability to support active data collection, its ability to support training data collection, its time range for supporting data collection, and information on its ability to support AI positioning.

[0036] In an eleventh aspect, a method for transmitting information is provided, comprising:

[0037] The third network element sends a registration request message to the fifth network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[0038] In a twelfth aspect, an information transmission device is provided, applied to a third network element, including:

[0039] The fifth sending module is used to send a registration request message to the fifth network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[0040] In a thirteenth aspect, an information transmission method is provided, comprising:

[0041] The second network element sends a search request message to the fifth network element, where the search request message includes at least one of the following: area information corresponding to the target area, an indication of data collection capability supported at an area granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device to be searched needs to support;

[0042] The second network element receives feedback information from the fifth network element, where the feedback information includes information of at least one third network element.

[0043] In a fourteenth aspect, an information transmission device is provided, applied to a second network element, including:

[0044] a sixth sending module, configured to send a search request message to the fifth network element, the search request message including at least one of the following: area information corresponding to the target area, an indication of data collection capabilities supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device being searched needs to support;

[0045] The sixth receiving module is configured to receive feedback information from the fifth network element, where the feedback information includes information of at least one third network element.

[0046] In the fifteenth aspect, a communication device is provided, which is a first network element and includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in the first aspect are implemented.

[0047] In the sixteenth aspect, a communication device is provided, which is a first network element and includes a processor and a communication interface, wherein the communication interface is used to send first information to a second network element, and the first information is used to request to obtain positioning-related data of a target area; and receive second information from a third network element, and the second information includes the positioning-related data of the target area.

[0048] In the seventeenth aspect, a communication device is provided, which is a second network element and includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in the third aspect are implemented.

[0049] In aspect 18, a communication device is provided, which is a second network element and includes a processor and a communication interface, wherein the communication interface is used to receive first information from the first network element, and the first information is used to request to obtain positioning-related data of the target area; based on the first information, third information is sent to a third network element, and the third information is used to request to obtain positioning-related data of the target area.

[0050] In the nineteenth aspect, a communication device is provided, which is a third network element and includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in the fifth aspect are implemented.

[0051] In the twentieth aspect, a communication device is provided, which is a third network element and includes a processor and a communication interface, wherein the communication interface is used to receive third information from a second network element, and the third information is used to request to obtain positioning-related data of a target area; based on the third information, second information is sent to the second network element or the first network element, and the second information includes the positioning-related data of the target area.

[0052] In the twenty-first aspect, a communication device is provided, which is a fifth network element, including a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in the seventh aspect are implemented.

[0053] In the twenty-second aspect, a communication device is provided, which is a fifth network element, including a processor and a communication interface, wherein the communication interface is used to receive a search request message from a second network element, and the search request message includes at least one of the following: area information corresponding to the target area, an indication of the data collection capability supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, time range supporting data collection, and capability information related to AI positioning that the communication device being searched needs to support; determining at least one third network element based on the search request message; and sending feedback information to the second network element, wherein the feedback information includes information of at least one third network element.

[0054] In the twenty-third aspect, a communication device is provided, which is a fifth network element, including a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in the ninth aspect are implemented.

[0055] In the twenty-fourth aspect, a communication device is provided, which is a fifth network element, including a processor and a communication interface, wherein the communication interface is used to receive a registration request message from at least one third network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[0056] In aspect twenty-fifth, a communication device is provided, which is a third network element, including a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in aspect eleven are implemented.

[0057] In the twenty-sixth aspect, a communication device is provided, which is a third network element, including a processor and a communication interface, wherein the communication interface is used to send a registration request message to a fifth network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[0058] In aspect twenty-seven, a communication device is provided, which is a second network element, including a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in aspect thirteen are implemented.

[0059] In aspect 28, a communication device is provided, which is a second network element, including a processor and a communication interface, wherein the communication interface is used to send a search request message to a fifth network element, and the search request message includes at least one of the following: area information corresponding to the target area, an indication of the data collection capability supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, time range supporting data collection, and capability information related to AI positioning that the communication device being searched needs to support; and receive feedback information from the fifth network element, wherein the feedback information includes information of at least one third network element.

[0060] In aspect 29, a communication system is provided, including: a first network element, a second network element, a third network element and a fifth network element, wherein the first network element can be used to execute the steps of the method described in aspect 1, the second network element can be used to execute the steps of the method described in aspect 3, the third network element can be used to execute the steps of the method described in aspect 5, and the fifth network element can be used to execute the steps of the method described in aspect 7.

[0061] In the 30th aspect, a communication system is provided, including: a fifth network element, a third network element and a second network element, the fifth network element can be used to execute the steps of the method described in the ninth aspect, the third network element can be used to execute the steps of the method described in the eleventh aspect, and the second network element can be used to execute the steps of the method described in the thirteenth aspect.

[0062] In aspect 31, a communication system is provided, including: a first network element, a second network element and a third network element, wherein the first network element can be used to execute the steps of the method described in aspect 1, the second network element can be used to execute the steps of the method described in aspect 3, and the third network element can be used to execute the steps of the method described in aspect 5.

[0063] In aspect 32, a readable storage medium is provided, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in aspect 1, aspect 3, aspect 5, aspect 7, aspect 9, aspect 11 or aspect 13 are implemented.

[0064] In aspect thirty-third, a chip is provided, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the steps of the method described in aspect one, aspect three, aspect five, aspect seven, aspect nine, aspect eleven or aspect thirteen.

[0065] In aspect 34, a computer program / program product is provided, which is stored in a storage medium and executed by at least one processor to implement the steps of the method described in aspect 1, aspect 3, aspect 5, aspect 7, aspect 9, aspect 11 or aspect 13.

[0066] In an embodiment of the present application, by sending a first message for requesting to obtain positioning-related data of a target area to a second network element, thereby obtaining positioning-related data of a target area from a third network element, a series of positioning-related data of a specific area can be directly obtained, thereby improving data acquisition efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] FIG1 is a block diagram of a wireless communication system to which embodiments of the present application may be applied;

[0068] FIG2 is a flow chart of an information transmission method according to an embodiment of the present application;

[0069] FIG3 is a flow chart of application scenario 1;

[0070] FIG4 is a flow chart of application scenario 2;

[0071] FIG5 is a flow chart of application scenario three;

[0072] FIG6 is a flow chart of application scenario 4;

[0073] FIG7 is a second flow chart of the information transmission method according to an embodiment of the present application;

[0074] FIG8 is a third flow chart of the information transmission method according to an embodiment of the present application;

[0075] FIG9 is a fourth flow chart of the information transmission method according to an embodiment of the present application;

[0076] FIG10 is a fifth flow chart of the information transmission method according to an embodiment of the present application;

[0077] FIG11 is a sixth flow chart of the information transmission method according to an embodiment of the present application;

[0078] FIG12 is a seventh flow chart of the information transmission method according to an embodiment of the present application;

[0079] FIG13 is a schematic diagram of a module of an information transmission device according to an embodiment of the present application;

[0080] FIG14 is a schematic structural diagram of a first network element according to an embodiment of the present application;

[0081] FIG15 is a second schematic diagram of a module of an information transmission device according to an embodiment of the present application;

[0082] FIG16 is a third schematic diagram of a module of an information transmission device according to an embodiment of the present application;

[0083] FIG17 is a fourth schematic diagram of a module of an information transmission device according to an embodiment of the present application;

[0084] FIG18 is a fifth schematic diagram of a module of an information transmission device according to an embodiment of the present application;

[0085] FIG19 is a sixth schematic diagram of a module of an information transmission device according to an embodiment of the present application;

[0086] FIG20 is a seventh schematic diagram of a module of an information transmission device according to an embodiment of the present application;

[0087] Figure 21 is a structural diagram of a communication device according to an embodiment of the present application. DETAILED DESCRIPTION

[0088] The following will be combined with the accompanying drawings in the embodiments of this application to clearly describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.

[0089] The terms "first", "second", etc. in this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way are interchangeable where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same type, and do not limit the number of objects, for example, the first object can be one or more. In addition, "or" in this application represents at least one of the connected objects. For example, "A or B" covers three options, namely, Option 1: including A but not including B; Option 2: including B but not including A; Option 3: including both A and B. The character " / " generally indicates that the objects associated before and after are in an "or" relationship.

[0090] The term "indication" in this application can be either a direct indication (or explicit indication) or an indirect indication (or implicit indication). A direct indication can be understood as the sender explicitly informing the receiver of specific information, the operation to be performed, or the requested result, etc. in the instruction sent; an indirect indication can be understood as the receiver determining the corresponding information based on the instruction sent by the sender, or making a judgment and determining the operation to be performed or the requested result, etc. based on the judgment result.

[0091] It is worth noting that the technology described in the embodiments of the present application is not limited to the Long Term Evolution (LTE) / LTE-Advanced (LTE-A) system, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency Division Multiple Access (SC-FDMA) or other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the technology described can be used for the systems and radio technologies mentioned above, as well as for other systems and radio technologies. The following description describes a New Radio (NR) system for illustrative purposes, and the NR terminology is used in most of the following description, but these technologies can also be applied to systems other than NR systems, such as 6th generation (6G) systems. th Generation, 6G) communication system.

[0092] FIG1 is a block diagram of a wireless communication system applicable to an embodiment of the present application. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 may be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer), a notebook computer, a personal digital assistant (PDA), a handheld computer, a netbook, an ultra-mobile personal computer (UMPC), a mobile internet device (MID), an augmented reality (AR), a virtual reality (VR) device, a robot, a wearable device (Wearable Device), an aircraft (Flight Vehicle), a vehicle-mounted device (VUE), a ship-mounted device, a pedestrian user equipment (PUE), a smart home (home appliances with wireless communication capabilities, such as refrigerators, televisions, washing machines, or furniture), a game console, a personal computer (PC), an ATM, or a self-service machine, or other terminal-side devices. Wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among them, the vehicle-mounted device can also be called a vehicle-mounted terminal, a vehicle-mounted controller, a vehicle-mounted module, a vehicle-mounted component, a vehicle-mounted chip or a vehicle-mounted unit, etc. It should be noted that the specific type of the terminal 11 is not limited in the embodiment of the present application. The network side device 12 may include an access network device or a core network device, wherein the access network device may also be called a radio access network (Radio Access Network, RAN) device, a radio access network function or a radio access network unit. The access network device may include a base station, a wireless local area network (WLAN) access point (AP) or a wireless fidelity (WiFi) node, etc.Among them, the base station can be referred to as Node B (NB), Evolved Node B (eNB), the next generation Node B (gNB), New Radio Node B (NR Node B), access point, Relay Base Station (RBS), Serving Base Station (SBS), Base Transceiver Station (BTS), radio base station, radio transceiver, Basic Service Set (BSS), Extended Service Set (ESS), Home Node B (HNB), Home Evolved Node B (home evolved Node B), Transmission Reception Point (TRP) or other appropriate terms in the field. As long as the same technical effect is achieved, the base station is not limited to specific technical vocabulary. It should be noted that in the embodiment of the present application, only the base station in the NR system is used as an example for introduction, and the specific type of the base station is not limited.

[0093] The core network equipment may include but is not limited to at least one of the following: core network node, core network function, mobility management entity (MME), access mobility management function (AMF), session management function (SMF), user plane function (UPF), policy control function (PCF), policy and charging rules function unit (PCRF), edge application service discovery function (EASDF), unified data management (UDM), unified data repository (UDR), home user server (HSS), centralized network configuration (CNC), network storage function (NRF), network exposure function (NEF), local NEF (L-NEF), binding support function (BSF), application function ( It should be noted that in the embodiments of the present application, only the core network device in the NR system is introduced as an example, and the specific type of the core network device is not limited.

[0094] The following first describes the technologies related to the embodiments of the present application.

[0095] 1. Network Data Analytics Function (NWDAF)

[0096] This functional network element supports the collection of network element or terminal data, providing statistical and forecasting information. NWDAF can collect data from network elements such as the AMF and SMF, or from the Operation Administration and Maintenance (OAM) function. Currently, the NWDAF obtains terminal location information through the AMF. Terminal location information is coarse-grained, at the Tracking Area (TA) or cell level. This means that the NWDAF can determine the terminal's current cell or TA from the AMF.

[0097] If an NWDAF consumer initiates a service request to NWDAF, requesting NWDAF to collect relevant statistics or provide predictions, then NWDAF will collect information from different network elements based on the parameters in the request message. After NWDAF performs statistics and analysis, it returns the results to the NWDAF consumer.

[0098] 2. Location Service (LCS)

[0099] LCS messages are exchanged between the user equipment (UE) and the LCS client or application function (AF). A typical example is the Mobile Terminated Location Request (MT-LR).

[0100] The MT-LR process is initiated by an external third-party application (LCS client) or by the AF via the NEF network element, and finally obtains the UE's location information through the Gateway Mobile Location Centre (GMLC), AMF, LMF and other network elements.

[0101] The NWDAF's channel, via the GMLC, AMF, and then LMF, can only be used to request and obtain location information. It lacks data types such as measurement data. Furthermore, data can only be obtained based on UE ID or group ID, which is inefficient. As a result, the NWDAF cannot efficiently obtain sufficient data from the LMF.

[0102] 3. In the prior art, LMF does not register its support for AI positioning-related or data collection-related information. NWDAF or other network elements cannot quickly find a suitable LMF to perform subsequent AI positioning-related operations, such as data collection and AI positioning.

[0103] The information transmission method, apparatus, and communication device provided in the embodiments of the present application are described in detail below with reference to some embodiments and their application scenarios in conjunction with the accompanying drawings.

[0104] As shown in FIG2 , an embodiment of the present application provides an information transmission method, including:

[0105] Step 201: A first network element sends first information to a second network element, where the first information is used to request acquisition of positioning-related data of a target area.

[0106] Step 202: The first network element receives second information from a third network element, where the second information includes positioning-related data of the target area.

[0107] It should be noted that the positioning-related data of the target area can be understood as positioning-related data related to the terminal in the target area and generated or acquired by the terminal in the target area, or the positioning-related data of the target area can also be understood as positioning-related data related to the terminal in the target area and generated or acquired by the access network node in the target area;

[0108] Optionally, the terminals within the target area may refer to all terminals or any terminal (anyUE) within the target area.

[0109] It should be noted that the embodiment of the present application obtains the positioning-related data of the target area from the third network element by sending the first information for requesting the positioning-related data of the target area to the second network element, thereby directly obtaining the positioning-related data of the specific area and improving the data acquisition efficiency.

[0110] It should be noted that the above-mentioned positioning-related data may be at least one, or at least one item. Positioning-related data may be understood as positioning-related data, which may include data generated by different communication devices such as UE / LMF / Radio Access Network (RAN) node / Positioning Reference Unit (PRU), and the positioning-related data may be at least one of the following: measurement data, position data, intermediate feature data, or auxiliary data.

[0111] It should be noted that positioning-related data can also be distinguished according to the positioning method, such as data in uplink positioning and data in downlink positioning. The above-mentioned uplink positioning data and downlink positioning data can refer to data generated during the uplink positioning or downlink positioning process, and can also be measurement data, position data, intermediate feature data, or auxiliary data in uplink positioning or downlink positioning.

[0112] Optionally, in one implementation, the first information includes at least one of the following:

[0113] A11, area information corresponding to the target area;

[0114] It should be noted that the area information is used to indicate an area range. Optionally, for example, it can be area information based on longitude and latitude. The area information / area range based on longitude and latitude can be in the form of a geographic area description (GAD) shape, such as including the shape of a geographic area (such as a rectangle) and the longitude and latitude description of the shape (such as the longitude and latitude information of the four corners of the rectangle); optionally, for example, it can also be cell-based area information (which can be indicated by cell information (such as cell ID), tracking area (TA) identifier, TA list, etc.), that is, the area range is represented by at least one cell, and the cell coverage range is the corresponding area range.

[0115] It should be noted that the area information may be area of ​​interest information, that is, area information of interest to the first network element, area information of which data is to be collected. It can be understood that the area information is used to indicate that the first network element wants to collect positioning-related data of the area indicated by the area information.

[0116] In one implementation, the area information corresponding to the target area may indicate that data is collected based on the area information.

[0117] A12. First indication information, where the first indication information is used to indicate passive data collection;

[0118] It should be noted that the first indication information specifically indicates that the third network element does not need to trigger additional interactions to achieve data collection. For example, after receiving the first information, the third network element does not trigger additional interactions due to the first information, such as positioning operations / positioning interactions, but rather interacts based on trigger conditions in the prior art (such as positioning interactions), and then collects positioning-related data generated during the interaction process. The positioning interaction process can occur at a historical time, a current time, or a future time, determined based on data limitation information;

[0119] Optionally, passive data collection may also be referred to as non-active data collection, passive collection, or data collection in a non-actively triggered positioning manner.

[0120] It should be noted that the indication can be an explicit indication or an implicit indication. In the case of an explicit indication, the first information needs to include the first indication information; in the case of an implicit indication, the first information does not need to include the first indication information, and it can be indicated by information such as the information name.

[0121] A13. Second indication information, where the second indication information is used to indicate active data collection;

[0122] It should be noted that the second indication information specifically indicates that the third network element needs to trigger additional interactions to implement data collection. That is, after receiving the first information, the third network element needs to trigger additional interactions, actively trigger one or more interactions (e.g., perform positioning operations / positioning interactions, etc.), and then collect positioning-related data generated during the interaction. The positioning interaction process can be triggered immediately after receiving the first information, or at a future time point, determined based on the data limitation information.

[0123] Optionally, active data collection may also be referred to as active collection or data collection in an active triggered positioning manner.

[0124] It should be noted that the indication can be an explicit indication or an implicit indication. In the case of an explicit indication, the first information needs to include the second indication information; in the case of an implicit indication, the first information does not need to include the second indication information, and it can be indicated by information such as the information name.

[0125] A14, information indicating the area granularity corresponding to the target area;

[0126] It should be noted that the regional granularity can also be understood as the regional granularity corresponding to the regional information corresponding to the target area, or the regional granularity corresponding to the regional information;

[0127] Optionally, the region granularity includes at least one of the following:

[0128] A141, latitude and longitude granularity;

[0129] In other words, the target area is an area range limited based on the longitude and latitude information, or in other words, the area information corresponding to the target area is based on the longitude and latitude granularity, such as GADshape.

[0130] A142, cell granularity;

[0131] In other words, the target area is an area range defined based on the cell information. In other words, the area information corresponding to the target area is based on the cell granularity, such as cell, TA, etc.

[0132] A15. Data limitation information;

[0133] It should be noted that the data limitation information is used to limit the requested positioning-related data, and may also be called data filter information (filter information), positioning-related data filtering information, positioning-related data limitation information, etc.

[0134] Optionally, the data filtering information may also be directly called filtering information, but in the context it is reflected that it is filtering information for positioning-related data.

[0135] It should be noted that, in the embodiments of the present application, positioning-related data and positioning data have similar meanings and can be replaced with each other.

[0136] Optionally, in one implementation, the data limitation information includes at least one of the following:

[0137] A151, target data type;

[0138] The target data type may also be referred to as the target data type of the positioning-related data. The target data type is used to indicate the data type that the positioning-related data of the requested target area must satisfy.

[0139] Optionally, the target data type may include, for example, at least one of the following:

[0140] A1511. Measurement data, including at least one of the following: channel impulse response (CIR), power delay profile (PDP), and delay profile (PDP); the PDP includes at least one of the following: reference signal received power (RSRP), reference signal received power path (RSRPP), and reference signal time difference (RSTD).

[0141] Measurement data refers to the data used for measurement during the positioning process. Devices such as UE and LMF can perform calculations based on the measurement data to obtain location data.

[0142] A1512, location data, including, for example, geographic location, civic location, etc.

[0143] It can be understood that the location defined by the location data may refer to a geographical location, a location of latitude and longitude, a location covered by a cell, a location covered by a city, and the like.

[0144] A1513, intermediate features, for example, may include time of arrival (TOA), path phase, etc.; intermediate feature data may refer to data generated by devices such as UE / positioning reference unit (PRU) / RAN node during the process of processing measurement data, or may be generated by processing measurement data based on certain algorithms or models.

[0145] A1514, assistance data, refers to data that can assist in positioning, such as radio signaling configuration information, reference cell information, neighbor cell information, RSTD search time window, and other information.

[0146] It should be noted that because each data type can include different data categories, data categories and data types can appear separately or simultaneously. For example, data categories can appear separately, such as measurement data and intermediate feature data; data types can appear separately, such as CIR, PDP, and RS configuration information; and measurement data, CIR, measurement data, PDP, intermediate feature data, and TOA can appear simultaneously.

[0147] A152, target time information;

[0148] The target time information is used to indicate the time corresponding to the positioning-related data of the requested target area, such as the time when the data is generated. Specifically, for example, the target time information is used to indicate a past period or a future period, or a specific time point.

[0149] A153, target data source type;

[0150] The target data source type is used to indicate the type of device that generates the positioning-related data of the target area, that is, the data source, which may refer to a certain network device, such as UE / PRU / RAN, etc.

[0151] Optionally, the target data source type is used to indicate that the positioning-related data is generated by the PRU; or, the target data source type is used to indicate that the positioning-related data is generated by the UE or LMF; or, the target data source type is used to indicate that the positioning-related data is generated by the access network node.

[0152] A154, target data generation method;

[0153] The target data generation mode is used to indicate a positioning method or positioning type for generating positioning-related data of a target area.

[0154] It should be noted that the target data generation method can also be used to indicate the positioning process in which the positioning-related data of the target area is generated, or the positioning process corresponding to the positioning method in which the data is generated. It should be noted that the target data generation method can also be used to indicate at least one of the positioning type, measurement method, measurement type, positioning measurement method, and positioning measurement type.

[0155] Optionally, the above-mentioned target data generation method, positioning method or positioning process may refer to at least one of the following: uplink positioning, downlink positioning, PRS-based positioning (positioning based on PRS measurement data), SRS-based positioning (positioning based on SRS measurement data), UE-assisted positioning (such as UE assisted positioning), RAN-assisted positioning (such as NG-RAN node assisted positioning), etc. Among them, uplink positioning may refer to the terminal sending a signal and the base station performing positioning; or the terminal sending a signal and the base station performing positioning (or receiving the signal and processing it), and then sending the result to the network side (such as LMF), and the network side determines the positioning result. Among them, the signal may refer to the SRS (Sounding Reference Signal) signal, and the uplink positioning may also be SRS-based positioning or SRS measurement-based positioning, etc.;

[0156] Downlink positioning can refer to the base station sending a signal and the terminal performing positioning; or the base station sending a signal and the terminal performing positioning (or receiving the signal and processing it), and then sending the result to the network side (such as LMF), which determines the positioning result. The signal can refer to the PRS (Positioning Reference Signal) signal, and downlink positioning can also be positioning based on PRS or positioning based on PRS measurement, etc.

[0157] Optionally, the data limitation information may further include: reporting conditions;

[0158] Optionally, the reporting condition is used to indicate the manner and conditions for reporting the collected data, such as periodic reporting, event-triggered reporting (such as reaching a time, reaching a data volume requirement, etc.), and the like.

[0159] Among them, periodic reporting means that the third network element must report data once at a certain interval; or based on the amount of data, reporting is performed after a certain amount of data is collected, etc.; or based on time, such as reporting data at a certain time node (which can be a time node, or a fixed time node, such as next Monday, or every Monday, etc.).

[0160] A16. Third instruction information, the third instruction information is used to instruct data collection based on the area information;

[0161] It should be noted that the third indication information refers to the positioning-related data within the area corresponding to the collection area information; the indication can be an explicit indication or an implicit indication. In the case of an explicit indication, the first information needs to include the third indication information; in the case of an implicit indication, the first information does not need to include the first indication information, for example, it can be indicated by the information name, or by other parameters in the message, such as the area information of the target area.

[0162] A17, seventh indication information, the seventh indication information is used to indicate that the data collection is for model training;

[0163] The seventh indication information is used to indicate the purpose or function of data collection. For example, obtaining (or collecting) positioning-related data of the target area is for model training, such as model training of AI positioning-related models.

[0164] A18, eighth indication information, the eighth indication information is used to indicate the feedback time of the positioning-related data;

[0165] The eighth indication information is used to indicate the time information when data can be fed back after data collection. It can be understood that the eighth indication information is used to indicate the feedback time of the positioning-related data. The feedback time indicated by the eighth indication information can be a time point or a time period, etc. For example, the eighth indication information can indicate the feedback deadline, indicating that the collected positioning-related data can be fed back before the deadline, and no feedback is required after the feedback deadline; for another example, the eighth indication information can indicate the time range information or time period for data feedback, and positioning-related data can be fed back within the time range indicated by the time range information or the time period indicated by the eighth indication information, such as from 8 am to 8 pm.

[0166] It should be noted that the eighth indication information may also be indicated along with the time limit information of the task, such as the effective time of the positioning-related data collection task, subscription time information, etc.

[0167] Optionally, the first information may further include at least one of the following:

[0168] Subscription indication information, where the subscription indication information is used to indicate that the first information is subscription information;

[0169] Request indication information, where the request indication information is used to indicate that the first information is request information.

[0170] It should be noted that the subscription indication information and request indication information can be explicit indications or implicit indications. In the case of explicit indications, the first information needs to include subscription indication information and / or request indication information; in the case of implicit indications, the first information does not need to include subscription indication information and / or request indication information, for example, it can be reflected through the information name, or other subscription-related indication information (such as subscription condition information, notification target address information, subscription-related ID and other information) appears to reflect it.

[0171] Optionally, when the first information indicates subscription information, the first information may further include at least one of the following:

[0172] A171. Subscription condition information is used to indicate subscription conditions and restrictions, such as subscription time information, indicating that subscription is performed within a certain time period.

[0173] A172. Notification target address information (Notification Target Address), which may include, for example, a notification correlation ID and a subscription correlation ID. The notification target address information indicates the target address to which information is to be reported, such as the network element address of the first network element. A correlation ID may also be included to indicate that the information is associated with a specific subscription.

[0174] It should be noted that the first network element mentioned in the embodiment of the present application refers to a network element or communication equipment capable of performing data analysis and / or model training or model management, for example, the first network element may be NWDAF, model training logical function MTLF (Model Training logical function, MTLF), analysis logical function (Analytics logical function, AnLF); the second network element refers to a network element or communication equipment capable of access and mobility management, for example, the second network element may be AMF, GMLC, etc.; the third network element refers to a network element or communication equipment capable of collecting positioning-related data, for example, the third network element may be LMF.

[0175] Optionally, in one implementation, the specific implementation of the first network element sending the first information to the second network element includes:

[0176] The first network element sends the first information to the second network element through the fourth network element.

[0177] Optionally, the fourth network element mentioned in the embodiment of the present application refers to a network element or communication device that can perform location-related service management. For example, the fourth network element can be a GMLC. Usually, the fourth network element forwards the first information sent by the first network element, that is, it can also be understood that the fourth network element also sends the first information, or it can be understood that the content contained in the message sent by the fourth network element is consistent with the content contained in the first information.

[0178] Optionally, in one implementation, the specific implementation of the first network element receiving the second information from the third network element includes at least one of the following:

[0179] B11. The first network element directly receives the second information sent by the third network element;

[0180] This situation can be understood as the second information being sent directly from the third network element to the first network element without the need for forwarding the message through other network elements.

[0181] This situation is usually applied when the first information is subscription information. If the address information of the notification target carried in the message is the address of the third network element, the third network element can directly send the second information to the first network element.

[0182] B12. The first network element receives second information from the third network element through the second network element and / or the fourth network element.

[0183] This situation can be understood as the second information being sent to the first network element through the transit network element; for example, when the first information is a request message, the third network element needs to send the second information to the second network element, and the second network element can directly send the second information to the first network element; or, the third network element needs to send the second information to the second network element, and the second network element sends the second information to the first network element through the fourth network element.

[0184] For example, when the first information is subscription information, if the message carries the address information of the notification target which is the address of the fourth network element, the third network element can directly send the second information to the fourth network element, and then the fourth network element sends the second information to the first network element.

[0185] Optionally, after receiving the first information from the first network element, the second network element sends third information to the third network element based on the first information, where the third information is used to request acquisition of positioning-related data of the target area.

[0186] It should be noted that the third information includes at least one item of the above-mentioned A11-A17; optionally, in one implementation, the content included in the third information is the same as the content included in the first information.

[0187] Optionally, in order to determine the third network element that receives the third information, the second network element needs to send a search request message to the fifth network element; the second network element receives feedback information from the fifth network element, where the feedback information includes information of at least one third network element; and the second network element determines, based on the feedback information, the third network element that receives the third information among the at least one third network element;

[0188] It should be noted that the search request message may also be called a network element discovery request, etc.

[0189] The search request message includes at least one of the following:

[0190] C11, area information corresponding to the target area;

[0191] C12. Indication of the ability to support data collection at a regional granularity;

[0192] It should be noted that the indication of the data collection capability supporting regional granularity can be understood as indicating that the network element to be searched needs to support data collection capability of longitude and latitude granularity and / or cell granularity, or, indicating that the network element to be searched needs to support data collection capability of a geographical area, or indicating that the network element to be searched needs to support data collection capability based on a certain regional range, without limiting the specific form of the regional range.

[0193] C13. Capability information supporting artificial intelligence (AI) positioning;

[0194] It should be noted that this information is used to indicate that the network element to be found must have AI positioning capabilities.

[0195] C14. Ability to support active data collection;

[0196] It should be noted that this information is used to indicate that the network element to be found must have the capability to actively collect data, that is, actively trigger interaction with other devices, such as positioning interaction, to obtain positioning-related data.

[0197] C15. Time frame for supporting data collection;

[0198] C16: Information on AI positioning capabilities that the communication device needs to support.

[0199] It should be noted that this information is used to indicate that the network element to be searched must have AI positioning-related capability information. Specifically, the AI ​​positioning-related capability information can be found elsewhere in this article and will not be repeated here.

[0200] C17, information of the second network element;

[0201] It should be noted that the information is used to indicate the second network element and may include at least one of the following: identification information of the second network element, instance identification information, manufacturer information of the second network element, type information, address information, etc.

[0202] C18. Information about the positioning object.

[0203] It should be noted that the information is used to indicate the object information to be located, and may include at least one of the following: the type of the located object, the manufacturer information of the located object, the identifier of the located object, and the address information of the located object.

[0204] It should be noted that this time range is used to indicate the time range supported by the network element being searched for for data collection. For example, if it indicates a historical time (that is, the time period or time point before the search request message is sent), it means that the third network element to be searched needs to have the ability to retain historical data.

[0205] C19, the ability to support training data collection;

[0206] It should be noted that the capability of supporting training data collection can be used to indicate that the network element to be searched must have the ability to collect data for training the model. It can be understood that the network element to be searched must have the ability to collect data and / or that the collected data is used for model training. Alternatively, the capability of supporting training data collection can also be understood as the network element to be searched must have the ability to collect training data.

[0207] It should be noted that the above capability information may be based on the granularity of the data analysis task, that is, peranalyticsID.

[0208] In one embodiment, the AI ​​positioning-related capability information that the communication device needs to support can also be understood as the AI ​​positioning-related capability information that the network element needs to support. The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[0209] Information indicating the AI ​​positioning methods that need to be supported;

[0210] Information indicating the AI ​​positioning inference method that needs to be supported;

[0211] Information indicating the type or granularity of input data that needs to be supported;

[0212] Information indicating the type or granularity of output data that needs to be supported;

[0213] Information indicating the positioning accuracy that needs to be supported;

[0214] Information about the second network element;

[0215] Information indicating when AI positioning support is required;

[0216] Information indicating the area where AI positioning support is required;

[0217] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[0218] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model;

[0219] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[0220] It should be noted that, when the search request message includes information indicating that the communication device to be searched needs to support the AI ​​positioning method, the fifth network element can search for a communication device that supports the AI ​​positioning method (e.g., a third network element that supports the AI ​​positioning method) according to the “information indicating that the communication device to be searched needs to support the AI ​​positioning method”. For example, if the search request message indicates that uplink positioning is supported, the fifth network element searches for a third network element that supports uplink positioning.

[0221] It should be noted that the AI ​​positioning method can be understood as an AI positioning type, or positioning mode. The AI ​​positioning method may refer to, for example, uplink positioning, downlink positioning, PRS-based positioning, SRS-based positioning, AI / ML-based uplink positioning, AI / ML-based downlink positioning, AI / ML-based and PRS-based positioning, or AI / ML-based and SRS-based positioning. It should be noted that the positioning mode may also directly correspond to Case 1, Case 2a, Case 2b, Case 3a, Case 3b, etc. in the existing discussion.

[0222] Specifically, the existing standards define the following five situations:

[0223] -Case 1: UE positioning, the model is on the UE side, including direct AI / ML positioning or AI / ML-assisted positioning;

[0224] Case 2a: UE-assisted positioning / LMF positioning, the model is on the UE side, and AI / ML-assisted positioning is used.

[0225] -Case 2b: UE-assisted positioning / LMF positioning, the model is on the LMF side, and direct AI / ML positioning;

[0226] Case 3a: NG-RAN assisted positioning, the model is on the gNB side, and AI / ML assisted positioning;

[0227] -Case 3b: NG-RAN assisted positioning, the model is on the LMF side, and direct AI / ML positioning.

[0228] The uplink positioning method can be understood as a method for acquiring positioning information based on measurement data reported by the RAN as input data for inference, such as the RAN (base station) performing measurements based on signals sent by the terminal and reporting the measurement data. The downlink positioning method can be understood as a method for acquiring positioning information based on measurement data reported by the UE as input data for inference, such as the UE performing measurements based on signals sent by the RAN and reporting the measurement data.

[0229] When the search request message includes information indicating the AI ​​positioning reasoning method that the communication device to be searched needs to support, the fifth network element can search for a communication device that supports the AI ​​positioning reasoning method (for example, a third network element that supports the AI ​​positioning reasoning method) based on the "information indicating the AI ​​positioning reasoning method that the communication device to be searched needs to support".

[0230] When the search request message includes information indicating the type or granularity of input data that the communication device being searched needs to support, the fifth network element can search for a communication device that supports the type or granularity of input data (for example, a third network element that supports the type or granularity of input data) based on the "information indicating the type or granularity of input data that the communication device being searched needs to support".

[0231] When the search request message includes information indicating the type or granularity of output data that the communication device being searched needs to support, the fifth network element can search for a communication device that supports the type or granularity of output data (for example, a third network element that supports the type or granularity of output data) based on the "information indicating the type or granularity of output data that the communication device being searched needs to support".

[0232] When the search request message includes information indicating the positioning accuracy that the communication device to be searched needs to support, the fifth network element can search for a communication device that supports this positioning accuracy (for example, a third network element that supports this positioning accuracy) based on the "information indicating the positioning accuracy that the communication device to be searched needs to support".

[0233] When the search request message includes information about the second network element, the fifth network element (e.g., NRF) makes a judgment based on the information about the second network element and the information about the device supported by the third network element requesting AI positioning analysis, thereby determining that the second network element can interact with the third network element and send an AI positioning request.

[0234] When the search request message includes information about the positioning object, the information about the positioning object is used to instruct the fifth network element to search for a third network element that allows AI positioning of the positioning object. For example, the information about the positioning object indicates that the positioning object is a UE, and the communication device (network element) searched by the fifth network element (e.g., NRF) is a communication device that allows AI positioning of the UE (e.g., a third network element that allows AI positioning of the UE).

[0235] When the search request message includes information indicating the time when the communication device to be searched needs to support AI positioning, the fifth network element can search for a communication device that supports AI positioning at that time (e.g., a third network element that supports AI positioning at that time) based on the "information indicating the time when the communication device to be searched needs to support AI positioning." It should be noted that the time can be a period of time.

[0236] When the search request message includes information indicating an area where the communication device being searched needs to support AI positioning, the fifth network element can search for a communication device that supports AI positioning in the area (for example, a third network element that supports AI positioning in the area) based on the "information indicating an area where the communication device being searched needs to support AI positioning".

[0237] In one embodiment, the information indicating the need for model training capabilities corresponding to the AI ​​positioning model can be understood as information indicating the need for model training capabilities corresponding to AI positioning, or information indicating that the communication device requesting the search needs to have model training capabilities corresponding to AI positioning.

[0238] In the case where the search request message includes information indicating that the communication device being searched needs to have the model training capability corresponding to the AI ​​positioning model, the fifth network element can search for a communication device having the model training capability corresponding to the AI ​​positioning model (e.g., a third network element having the model training capability corresponding to the AI ​​positioning model) based on the “information indicating that the communication device being searched needs to have the model training capability corresponding to the AI ​​positioning model”. It should be noted that “having the model training capability corresponding to the AI ​​positioning model” can be understood as supporting model training corresponding to the AI ​​positioning model.

[0239] In one embodiment, the information indicating the need for model training capabilities corresponding to the AI ​​positioning model can be understood as information indicating the need for model reasoning capabilities corresponding to AI positioning, or information indicating that the communication device requesting the search needs to have model reasoning capabilities corresponding to AI positioning.

[0240] In the case where the search request message includes information indicating that the communication device to be searched needs to have the model reasoning capability corresponding to the AI ​​positioning model, the fifth network element can search for a communication device with the model reasoning capability corresponding to the AI ​​positioning model (e.g., a third network element with the model reasoning capability corresponding to the AI ​​positioning model) based on the “information indicating that the communication device to be searched needs to have the model reasoning capability corresponding to the AI ​​positioning model”. It should be noted that “having the model reasoning capability corresponding to the AI ​​positioning model” can be understood as supporting the model reasoning corresponding to the AI ​​positioning model.

[0241] In one embodiment, the information indicating the need for model acquisition capability corresponding to the AI ​​positioning model can be understood as information indicating the need for model acquisition capability corresponding to AI positioning, or information indicating that the communication device requesting the search needs to have model acquisition capability corresponding to AI positioning.

[0242] When the search request message includes information indicating that the communication device being searched needs to have the model acquisition capability corresponding to the AI ​​positioning model, the fifth network element can search for a communication device having the model acquisition capability corresponding to the AI ​​positioning model (e.g., a third network element having the model acquisition capability corresponding to the AI ​​positioning model) based on the “information indicating that the communication device being searched needs to have the model acquisition capability corresponding to the AI ​​positioning model.” It should be noted that “having the model acquisition capability corresponding to the AI ​​positioning model” can be understood as supporting model acquisition corresponding to the AI ​​positioning model.

[0243] In one embodiment, the search request message may include information indicating that the communication device being searched needs to have at least one of the following corresponding to the AI ​​positioning model: model training capability, model reasoning capability, and model acquisition capability. The fifth network element can search for a communication device with model training capability, model reasoning capability, and / or model acquisition capability based on the information (for example, a third network element with model training capability, model reasoning capability, and model acquisition capability).

[0244] It should be noted that AI positioning refers to the ability to introduce AI in the positioning process. For example, communication equipment such as UE / RAN / LMF uses AI / machine learning (ML) models to process measurement data and / or intermediate feature data and / or auxiliary information to obtain intermediate feature data or positioning result data (eg, location information, etc.). This process can be regarded as an inference process related to AI positioning. Similarly, AI positioning can also refer to model training related to AI positioning.

[0245] Optionally, the fifth network element mentioned in the embodiment of the present application refers to a network element or communication device that can store and discover network element information. For example, the fifth network element may be an NRF.

[0246] For example, the second network element determines that it needs to obtain positioning-related data within an area range based on longitude and latitude granularity. The second network element needs to first determine which third network element services are needed for this area range based on longitude and latitude granularity. At this time, the second network element needs to request a third network element from the fifth network element based on the area range with longitude and latitude granularity. Based on the request of the second network element, the fifth network element searches for a third network element that meets the conditions among the locally registered third network elements and feeds back to the second network element. The second network element can directly use the feedback from the fifth network element, or further determine which third network elements specifically receive the message in the feedback from the fifth network element.

[0247] Optionally, in order for the fifth network element to know which third network elements exist, each third network element needs to register with the fifth network element when accessing the network.

[0248] Optionally, in one implementation, the method further includes:

[0249] The third network element sends a registration request message to the fifth network element;

[0250] The registration request message includes at least one of the following:

[0251] C101: an indication of the capability of the third network element to support data collection at a regional granularity;

[0252] It should be noted that the capability indication is used to indicate that the third network element has the data collection capability based on a certain area granularity; for example, if the capability indication is longitude and latitude granularity, it means that the capability indication is used to indicate that the third network element has the data collection capability based on longitude and latitude granularity.

[0253] C102, capability information supporting AI positioning;

[0254] The capability information is used to indicate the capability of the third network element to support AI positioning. If the registration request message does not include this information, it means that the third network element does not support the AI ​​positioning capability. It can be understood that the capability information of supporting AI positioning is used to indicate whether the third network element supports AI positioning.

[0255] It should be noted that AI positioning includes at least one of the following:

[0256] AI positioning related model reasoning,

[0257] AI positioning-related model training, etc.

[0258] Among them, AI positioning related can be understood as information used for AI positioning. Similarly, the above information can be understood as model reasoning used for AI positioning, model training used for AI positioning, etc.

[0259] In one embodiment, the capability information supporting AI positioning is specifically used to indicate whether the third network element has model training capability, model reasoning capability and / or model acquisition capability for AI positioning.

[0260] C103, the ability to support active data collection;

[0261] It should be noted that this information is used to indicate that the registering network element has the capability to actively collect data, that is, to actively trigger interaction with other devices, such as positioning interaction, to obtain positioning-related data.

[0262] C104, Ability to support training data collection;

[0263] It should be noted that the ability to support training data collection can be used to indicate that the network element performing registration has the ability to collect data for training the model. It can be understood that the third network element performing registration indicates that it has the ability to collect data and / or that the collected data is used for model training through the "ability to support training data collection". It should be noted that in this application, the "ability to support training data collection" in the registration process (such as a registration request message) is used to indicate that the registered network element has the ability to collect data for training the model, and the "ability to support training data collection" in the network element search process (such as a network element discovery message) is used to indicate that the network element to be searched must have the ability to collect data for training the model.

[0264] C105. Time range supported for data collection; it should be noted that this time range is used to indicate the time range supported by the registered network element for data collection. For example, if it indicates a historical time (i.e., the time period or time point before the search request message is sent), it indicates that the third network element to be searched needs to have the ability to retain historical data.

[0265] C106, AI positioning-related capability information

[0266] It should be noted that AI positioning-related capability information includes at least one of the following:

[0267] an AI positioning method supported by the third network element;

[0268] The AI ​​positioning inference method supported by the third network element;

[0269] the type or granularity of input data supported by the third network element;

[0270] The type or granularity of output data supported by the third network element;

[0271] The positioning accuracy supported by the third network element is used to indicate at least one of the precision and credibility of the positioning analysis result;

[0272] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[0273] Information about the target that allows AI positioning;

[0274] Information about the time during which the third network element supports AI positioning;

[0275] Information about the area in which the third network element supports AI positioning;

[0276] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[0277] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model;

[0278] Information indicating whether the third network element has the model acquisition capability corresponding to the AI ​​positioning model. The AI ​​positioning method supported by the third network element can be understood as the AI ​​positioning type supported by the third network element, or can also be understood as the positioning mode supported and used by the third network element. In one embodiment, the AI ​​positioning method supported by the third network element may refer to, for example, uplink positioning, downlink positioning, PRS-based positioning, SRS-based positioning, AI / ML-based uplink positioning, AI / ML-based downlink positioning, AI / ML-based and PRS-based positioning, or AI / ML-based and SRS-based positioning, etc. It should be noted that the positioning mode can also directly correspond to Case 1, Case 2a, Case 2b, Case 3a, Case 3b, etc. in the existing discussion.

[0279] Specifically, the existing standards define the following five situations:

[0280] -Case 1: UE positioning, the model is on the UE side, including direct AI / ML positioning or AI / ML-assisted positioning;

[0281] Case 2a: UE-assisted positioning / LMF positioning, the model is on the UE side, and AI / ML-assisted positioning is used.

[0282] -Case 2b: UE-assisted positioning / LMF positioning, the model is on the LMF side, and direct AI / ML positioning;

[0283] Case 3a: NG-RAN assisted positioning, the model is on the gNB side, and AI / ML assisted positioning;

[0284] -Case 3b: NG-RAN assisted positioning, the model is on the LMF side, and direct AI / ML positioning.

[0285] The uplink positioning method can be understood as a method for acquiring positioning information based on measurement data reported by the RAN as input data for inference, such as the RAN (base station) performing measurements based on signals sent by the terminal and reporting the measurement data. The downlink positioning method can be understood as a method for acquiring positioning information based on measurement data reported by the UE as input data for inference, such as the UE performing measurements based on signals sent by the RAN and reporting the measurement data.

[0286] Among them, the AI ​​positioning reasoning method supported by the third network element may include but is not limited to direct positioning, indirect positioning, etc. It should be noted that direct positioning may refer to directly outputting positioning analysis results (location information) based on measurement data and AI / ML models; it can be understood that the direct positioning is that the inference output data is positioning result information. Indirect positioning may refer to outputting intermediate features based on measurement data and AI / ML models, and the intermediate features can be used to determine positioning analysis results (location information), etc. It can be understood that the indirect positioning is that the inference output data is positioning intermediate information.

[0287] The types of input data supported by the third network element may include but are not limited to at least one of the following: measurement data, intermediate characteristic data, and auxiliary data. The measurement data may be, but are not limited to, channel impulse response (CIR), power delay profile (PDP), delay profile (DP), reference signal received power (RSRP), reference signal received path power (RSRPP), or reference signal time difference (RSTD), PRS, SRS, etc. The intermediate characteristic data may be, but are not limited to, time of arrival (TOA), path phase, etc. The auxiliary data may be, but are not limited to, reference signal configuration (RS configuration), etc.

[0288] The granularity of the input data supported by the third network element may be a Tracking Area (TA) granularity, a cell granularity, or other finer granularity, wherein the finer granularity may be smaller than the granularity of the cell granularity.

[0289] In an optional implementation manner, the registration request message may include the type or granularity of input data required by the third network element.

[0290] The output data may be, but is not limited to, positioning analysis information, etc. Based on this, the types of output data supported by the third network element may include at least one of the following: positioning result information and intermediate positioning information (or intermediate features).

[0291] The granularity of the output data supported by the third network element may be, but is not limited to, positioning analysis information of TA granularity, positioning analysis information of cell granularity, or positioning analysis information of finer granularity.

[0292] The positioning accuracy supported by the third network element is used to indicate at least one of the precision and reliability of the positioning analysis result. In one embodiment, the positioning accuracy supported by the third network element is used to indicate at least one of the precision and reliability of the inferred positioning analysis information (positioning analysis result). For example, the positioning accuracy supported by the third network element can be 98% reliability, with a positioning error of less than 0.5 meters.

[0293] The information of devices that are allowed to request AI positioning analysis from the third network element is used to indicate which devices can request AI positioning analysis from the third network element. The device information may include at least one of the following: device type, device manufacturer information, device identification, and device address information. The device type may be UE, Positioning Reference Unit (PRU), gNB, or LMF, etc.

[0294] The information of the positioning objects that allow AI positioning is used to indicate that the third network element allows AI positioning for those positioning objects. It can be understood that the positioning object is the object for positioning, for example, when positioning a UE, the positioning object is the UE. The information of the positioning object may include at least one of the following: the type of the positioning object, the manufacturer information of the positioning object, the identifier of the positioning object, and the address information of the positioning object. The type of the positioning object may be UE, Positioning Reference Unit (PRU), gNB, or LMF, etc.

[0295] The information about the time when the third network element supports AI positioning is used to indicate the times when the third network element supports AI positioning. For example, the information about the time when the third network element supports AI positioning is 8:00, which means 18:00.

[0296] The information about the areas in which the third network element supports AI positioning is used to indicate in which areas the third network element supports AI positioning. The area refers to the area under the jurisdiction of the third network element. In one embodiment, the information about the areas in which the third network element supports AI positioning is used to indicate in which areas under its jurisdiction the third network element supports AI positioning.

[0297] In one embodiment, the information indicating whether the third network element has the model training capability corresponding to the AI ​​positioning model can be understood as information indicating whether the third network element has the model training capability corresponding to AI positioning; the model training capability corresponding to the AI ​​positioning (model) refers to the training capability of the AI / ML model used for positioning, or the ability to train positioning-related AI / ML models.

[0298] The information indicating whether the third network element has the model reasoning capability corresponding to the AI ​​positioning model can be understood as information indicating whether the third network element has the model reasoning capability corresponding to the AI ​​positioning; the model reasoning capability corresponding to the AI ​​positioning (model) refers to the ability to generate output data or reasoning results (such as location information) based on the AI ​​positioning model (AI / ML model).

[0299] The information indicating whether the third network element has the model acquisition capability corresponding to the AI ​​positioning model can be understood as information indicating whether the third network element has the model acquisition capability corresponding to AI positioning. The model acquisition capability corresponding to the AI ​​positioning (model) refers to the ability to interact with other communication devices to obtain the AI ​​positioning module (AI / ML model). For example, if the third network element can interact with communication devices such as NWDAF, MTLF, ADRF, etc. that have model training capabilities or model storage capabilities, thereby obtaining AI / ML models related to AI positioning, then the third network element has the model acquisition capability corresponding to the AI ​​positioning (model).

[0300] In one embodiment, the aforementioned AI / ML model can be used for AI positioning.

[0301] In one embodiment, by indicating whether the third network element has the model training capability corresponding to the AI ​​positioning model, whether it has the model reasoning capability corresponding to the AI ​​positioning model, or whether it has the model acquisition capability corresponding to the AI ​​positioning model, it can be indirectly indicated whether the third network element supports AI positioning.

[0302] In one embodiment, the capability information related to AI positioning includes information indicating whether the third network element has at least one of the following corresponding to the AI ​​positioning model: model training capability, model reasoning capability, and model acquisition capability.

[0303] In an embodiment of the present application, a third network element (e.g., LMF) registers information related to its support for AI positioning or data collection (e.g., sending AI positioning-related capability information through a registration request message), and the NWDAF or other network elements quickly find a suitable LMF to perform subsequent AI positioning-related operations, such as data collection, AI positioning, etc.

[0304] In addition, the registration of the third network element can also help the communication device that needs to perform AI positioning to determine the target third network element. In one implementation method, a communication device that needs AI positioning (which may be the second network element or other devices mentioned in this application, such as NWDAF, GMLC, AMF, UE and other communication devices) may need to determine the location information through AI positioning. The communication device can send a request message (such as an AI positioning request) to the third network element to request AI positioning or determine the location information, or the communication device sends a request message to the third network element through the second network element. Before the communication device sends the request message to the third network element, it is necessary to first find a third network element that supports AI positioning. After finding the third network element that supports AI positioning, the communication device can send a search request to the fifth network element to find the target third network element with relevant capabilities such as AI positioning.

[0305] Optionally, the registration request message may further include: area information corresponding to the third network element;

[0306] It should be noted that the area information is used to indicate the service range covered by the third network element, and may also be referred to as service area information corresponding to the third network element.

[0307] It should be noted that, after receiving the registration request message from the third network element, the fifth network element needs to store the information corresponding to the third network element and feed back a response message to the third network element.

[0308] It should be noted that, since the first information can be used to indicate active data collection or passive data collection, optionally,

[0309] In one implementation, when the second network element determines that the third network element needs to actively collect data, in order to facilitate the third network element to perform active data collection, the third information sent by the second network element to the third network element should include the terminal identification information corresponding to the target area. The terminal here can be understood as the terminal associated with the positioning-related data. For example, the terminal can be a UE, a PRU, etc. For example, the terminal identification information can be a UEID, a user permanent identifier (SUbscription Permanent Identifier, SUPI), an international mobile equipment identity (International Mobile Equipment Identity, IMEI), etc., or it can be a processed terminal identifier (AMF does not directly expose the UEID, but maps it to other identifiers), such as a positioning service correlation identifier (LCS correlation ID), etc.

[0310] After receiving the terminal identification information, the third network element may trigger interaction with the terminal based on the terminal identification information to obtain positioning-related data.

[0311] Optionally, in another implementation method, the second network element may not directly tell the terminal identification information corresponding to the target area, but when the third network element determines that the third network element needs active data collection (the determination method for the third network element that it needs active data collection is based on the active data collection determination implicitly or explicitly indicated by the third information), in order to facilitate the third network element to perform active data collection, the third network element directly sends a first request information to the second network element, and the second network element determines the terminal identification information corresponding to the target area based on the first request information; the second network element sends the terminal identification information to the third network element.

[0312] Optionally, the first request information is used to request to obtain terminal identification information corresponding to the target area, or it can also be understood that the first request information is used to request to convert the target area.

[0313] The first request information includes at least one of the following:

[0314] C21, area information corresponding to the target area;

[0315] Optionally, the area information included in the first request information should be a subset or a complete set of area information actually corresponding to the target area.

[0316] C22, fourth indication information, the fourth indication information is used to instruct to obtain the terminal identification information corresponding to the target area;

[0317] It should be noted that, optionally, in the case where the first request information is used to request conversion of the target area, the fourth indication information indicates conversion of the target area into corresponding terminal identification information.

[0318] It should also be noted that when the regional granularity is the cell granularity, the location information of a certain device can be known after the third network element interacts, but the third network element may only obtain geographical location information (or location information based on longitude and latitude), rather than cell-granular location information. Therefore, an additional method is required to convert the geographical location information into cell-granular location information; optionally, any of the following three methods can be used in the embodiment of the present application:

[0319] Method 1: Enhance the UE. When reporting location information, the UE also reports the corresponding cell information (e.g., cell ID). It should be noted that the UE's simultaneous reporting of cell information may be a UE's own capability, i.e., the UE itself decides to report information such as the cell ID when performing positioning and other interactions. Alternatively, a third network element may request the UE to report both geographic location information and cell-level location information at the same time.

[0320] Method 2: The third network element sends a second request message to the second network element, and the second network element determines the cell corresponding to the target area based on the latitude and longitude granularity according to the second request message; the second network element sends the cell information to the third network element.

[0321] Optionally, the second request information is used to request to obtain cell information corresponding to the target area based on longitude and latitude granularity, or it can also be understood that the second request information is used to request to convert the target area.

[0322] Optionally, in one implementation, the second request information includes at least one of the following:

[0323] C31, area information corresponding to the target area;

[0324] It should be noted that the area information may also be area information corresponding to positioning-related data collected when the third network element interacts with devices in the target area, such as location data. Alternatively, the area information may also be understood as area information corresponding to positioning-related data, location data corresponding to the target area, etc. That is, after obtaining location data based on longitude and latitude, the third network element requests the second network element to determine the cell information corresponding to the location data.

[0325] C32. Fifth indication information, where the fifth indication information is used to instruct to obtain cell information corresponding to the target area.

[0326] Optionally, in a case where the second request information is used to request conversion of the target area, the fifth indication information is used to instruct conversion of the target area into corresponding cell information.

[0327] Optionally, when the second request information is used to request the conversion of the target area, the second request information should further include:

[0328] Sixth indication information, where the sixth indication information is used to indicate a target granularity after conversion;

[0329] Optionally, the target granularity may be a cell identifier granularity and / or a TA granularity.

[0330] It should be noted that the indication can be an explicit indication or an implicit indication. In the case of an explicit indication, the second request information needs to include the sixth indication information; in the case of an implicit indication, the second request information does not need to include the sixth indication information. For example, it can be indicated by information such as the information name, and the second network element can determine the target granularity after conversion based on the second request information sent by the third network element.

[0331] It should be noted that how the second network element converts the longitude and latitude location information into cell-granularity location information is not restricted here. It is the internal logic and implementation of the second network element. For example, the cell-granularity location information can be determined by comparing the mapping relationship within the second network element.

[0332] Method three: the second network element carries the area information based on longitude and latitude in the third information at the same time; specifically, the second network element may, after receiving the area information based on cell granularity, first convert the area information into area information based on longitude and latitude, and then send the area information based on longitude and latitude to the third network element; it may also be that the fifth network element, after receiving the area information based on cell granularity from the first network element, first converts the area information into area information based on longitude and latitude, and then sends the area information based on longitude and latitude to the second network element.

[0333] It should be noted that the positioning-related data may include at least one piece of positioning-related data, or multiple pieces of positioning-related data generated by multiple different UEs, or multiple pieces of positioning-related data generated by multiple different devices, etc.

[0334] Optionally, in one implementation, the second information further includes at least one of the following:

[0335] D11, data type corresponding to the positioning-related data;

[0336] It should be noted that the data type refers to the data type corresponding to at least one piece of positioning-related data. It is understood that the data type can be the data type of positioning-related data. The data type can be measurement data, position data, intermediate feature data, assistance data, etc.; it can also be a specific data type such as RSRP, PDP, CIR, etc.; or it can be a combination of the two, such as measurement data and CIR.

[0337] D12, time information corresponding to the positioning-related data;

[0338] It should be noted that the time information refers to the time corresponding to the data, such as the time when the data is generated, or the time when the data is collected.

[0339] D13, a data source corresponding to the positioning-related data;

[0340] It should be noted that the data source refers to the source of positioning-related data, or can also be understood as the generator of positioning-related data, such as indicating that the generator of positioning-related data is PRU, UE, LMF, RAN, etc. The data source is usually indicated by the device identifier.

[0341] D14, area information corresponding to the positioning-related data;

[0342] It should be noted that the region information is used to indicate the region where the data is generated, and may be a region range, such as region information based on latitude and longitude granularity.

[0343] D15, terminal identification information corresponding to the positioning-related data;

[0344] It should be noted that this information is used to indicate which terminals the positioning-related data is related to.

[0345] For example, the terminal identification information may include UEID, SUPI, IMEI, etc.

[0346] D16, access network node identification information corresponding to the positioning-related data;

[0347] It should be noted that this information is used to indicate which access network nodes the positioning-related data is related to, for example, this information is used to indicate which access network nodes generated the positioning-related data. The access network node identification information may also be referred to as base station identification information.

[0348] D17. Generation method of the positioning-related data

[0349] It should be noted that the generation method corresponding to the positioning-related data can be used to indicate the positioning method used to generate the positioning-related data, or to indicate the positioning process used to generate the positioning-related data. It is understood that the generation method corresponding to the positioning-related data can indicate the positioning process in which the positioning-related data was generated, or the positioning process corresponding to the positioning method in which the positioning-related data was generated.

[0350] In one embodiment, the generation method corresponding to the positioning-related data may be used to include at least one of a positioning type, a measurement method, a measurement type, a positioning measurement method, and a positioning measurement type.

[0351] In one embodiment, the generation method, positioning method or positioning process corresponding to the above-mentioned positioning-related data may refer to at least one of the following: uplink positioning, downlink positioning, PRS-based positioning (positioning based on PRS measurement data), SRS-based positioning (positioning based on SRS measurement data), UE-assisted positioning (such as UE assisted positioning), RAN-assisted positioning (such as NG-RAN node assisted positioning), etc.

[0352] It should be noted that, depending on the type of the third information (request information or subscription information), the conditions for the data reporting method of the third network element are different, and the triggering method for the third network element to report positioning-related data is also different. For example, when it is a request information, the third network element only feeds back / reports positioning-related data once; when it is subscription information, the third network element feeds back / reports positioning-related data multiple times within the subscription time period. Optionally, if the reporting condition is periodic reporting, the third network element will report when each period arrives; optionally, if the reporting condition is event-triggered reporting, the third network element will trigger reporting when the event condition is met, for example, based on the amount of data, reporting after collecting a certain amount of data, etc.; or, for example, based on time, such as reporting data at a certain time node (which can be a time node, or a fixed time node, such as next Monday, or every Monday, etc.).

[0353] The specific application of the embodiments of the present application is described below with examples.

[0354] Application 1: Regional information based on latitude and longitude granularity and passive data collection

[0355] As shown in Figure 3, the specific implementation process includes:

[0356] Step 301: NWDAF sends a first message to GMLC to request for positioning-related data.

[0357] Optionally, the first information is used to implicitly or explicitly indicate passive data collection.

[0358] Optionally, the positioning-related data may refer to measurement data generated by UE / LMF / RAN, etc.

[0359] Specifically, the NWDAF may send a first message to the GMLC through a service such as Ngmlc_Location_ProvideLocation, where the first message is used to request the acquisition of positioning-related data. The positioning-related data may include data generated by different communication devices such as UE / LMF / RAN / PRU, such as measurement data, location data, intermediate features, and assistance data.

[0360] Step 302: Forward the first information to AMF.

[0361] The GMLC sends the first information to the AMF to request the acquisition of positioning-related data, etc. For example, the GMLC sends the first information to the AMF through Namf_Location_ProvidePositioningInfo according to the first information received in step 301. In addition to the first information (area information; indication information of passive data collection; subscription indication information; subscription indication information; data limitation information, etc.), the message sent by the GMLC may also carry the client type (such as NF network element type), the required LCS service quality (QoS), etc.

[0362] It should also be noted that the first information received by the GMLC may not be completely consistent with the content of the first information actually forwarded. For example, the subscription address sent by the GMLC may be the GMLC address instead of the NWDAF address (because the LMF may still not be able to interact directly with the NWDAF).

[0363] Step 303: AMF searches for LMF from NRF.

[0364] For example, the AMF may select a suitable LMF based on local configuration or a request message. Specifically, when the AMF selects the LMF based on a request message, the AMF may search for a LMF that meets the conditions through the NRF, and the NRF may feedback the network element information of the LMF that meets the conditions, including the address information of the LMF (IP address, network element identification information, etc.).

[0365] Step 304: The AMF sends the third information to the selected LMF.

[0366] Specifically, after the AMF searches for a network element and determines the selected LMF, it sends the third information to the selected LMF network element. The third information can be sent through services such as Nlmf_Location_DetermineLocation.

[0367] Step 305: LMF interacts with UE / PRU / RAN and other devices;

[0368] Specifically, the LMF may interact with devices such as the UE / RAN / PRU before or after receiving the third information, such as performing a positioning process, to obtain positioning-related data, including historical data or future data. For example, during the positioning interaction, the LMF obtains measurement data and / or intermediate feature data of the UE / RAN / PRU; or obtains location data of the UE / PRU; or, before performing positioning, the LMF interacts with devices such as the RAN to obtain some auxiliary data.

[0369] It should be noted that, optionally, the interaction in this step may occur before the LMF receives the third information or after the LMF receives the third information.

[0370] It should be noted that the triggering of these interactions is similar to that of existing technologies and is based on triggers from other devices, such as the UE, RAN, and other LCS clients. For example, other devices may send requests to the LMF with information such as the UE ID and LCS correlation ID, requesting the LMF to obtain the location information of the device corresponding to the UE ID and LCS correlation ID. Upon receiving these requests, the LMF triggers interactions, such as positioning procedures, to obtain the location information and other positioning-related data.

[0371] It should be noted that the number and time of LMF interactions may vary depending on the different request methods in the third information (request information or subscription information), different conditions for data reporting, different data collection methods, different data limitation information, etc. For example:

[0372] Past period: LMF selects appropriate positioning-related data based on data obtained from historical interactions. Specifically, LMF may not interact in this case, but directly use locally stored historical positioning-related data (such as recent, short-term, six-month, or long-term positioning-related data).

[0373] Future period: LMF interacts in the future period. For example, in the future period, LMF receives a request for location information from another device and interacts with the UE or other devices.

[0374] Step 306: LMF selects positioning-related data that meets the requirements.

[0375] Specifically, LMF selects data that meets the conditions as target data (ie, positioning-related data) based on data limitation information, area information, and other information in the third information.

[0376] It should be noted that the time point and method of LMF selection may vary depending on the request method (request or subscription) and data limitation information in the third information. For example:

[0377] Request information + past time period, LMF selects the target data based on the data obtained from historical interactions; specifically, LMF can only use locally stored historical positioning-related data (such as recent, short-term, six-month, or long-term positioning-related data, etc.), and after receiving the request message, select the data that meets the data limitation information and other information as the target data for reporting.

[0378] Request information + future time period. When the future time period expires, all data that meet the conditions within the time period are selected as target data. For example, if the data limitation information in the request message received by LMF is a future time period, LMF selects all data that meet the conditions within the time period as target data.

[0379] Subscription information + future time period, select each group of data that meets the conditions in the future time period as the target data, and LMF determines the target data by judging whether the collected data meets the data limitation information and other information.

[0380] It should be noted that whether the data satisfies the data limitation information and other information can be determined by determining whether the information of the collected data matches the data limitation information. For example, whether the location of the collected data is within the regional information, that is, whether it is within the regional range; whether the device generating the collected data matches the target data source type; whether the generation time of the collected data matches the target time information, or whether it is within the target time period; whether the data type of the collected data matches the target data type; whether the generation method of the collected data (e.g., the positioning method of the collected data) matches the target data generation method, etc.

[0381] Steps 307-309: The LMF sends a second message carrying positioning-related data to the NWDAF through the AMF and GMLC.

[0382] Specifically, the LMF sends the second information carrying the positioning-related data to the AMF, the AMF sends the second information to the GMLC, and the GMLC sends the second information to the NWDAF;

[0383] Step 310: LMF sends a second message carrying positioning-related data to NWDAF.

[0384] It should be noted that steps 307 to 309 are applied to request messages, while step 310 is applied to subscription messages. LMF can directly feedback positioning-related data to NWDAF, GMLC and other devices based on information such as the address information of the notification target in the subscription message.

[0385] Application Scenario 2: Regional Information and Passive Data Collection Based on Cell Granularity

[0386] As shown in Figure 4, the specific implementation process includes:

[0387] Step 401 to step 405 are the same as steps 301 to step 305;

[0388] The difference is that the first information carries area information based on cell granularity.

[0389] Step 406: LMF sends a second request message to AMF, requesting to obtain the cell corresponding to the target area.

[0390] Step 407: AMF sends the cell information of the cell corresponding to the target area to LMF.

[0391] It should be noted that step 406 and step 407 are optional steps.

[0392] Step 408 to step 412 are the same as steps 306 to step 310.

[0393] Application Scenario 3: Regional information and active data collection based on latitude and longitude granularity or cell granularity

[0394] As shown in Figure 5, the specific implementation process includes:

[0395] Step 501 to step 503 are the same as steps 301 to step 303, or the same as steps 401 to step 403;

[0396] The difference is that the first information is used to indicate active data collection.

[0397] Step 504: AMF determines that active data collection is required.

[0398] Step 505: The AMF sends the third information to the selected LMF.

[0399] Specifically, after the AMF searches for a network element and determines the selected LMF, it sends the third information to the selected LMF. The third information can be sent through services such as Nlmf_Location_DetermineLocation.

[0400] It should be noted that the third information carries terminal identification information.

[0401] Step 506: LMF determines that active data collection is required;

[0402] Step 507: The LMF sends a first request message to the AMF, requesting to obtain the terminal identification information corresponding to the target area;

[0403] Step 508: The AMF feeds back the terminal identification information of the terminal corresponding to the target area;

[0404] Step 509: LMF interacts with UE / PRU / RAN and other devices;

[0405] Step 510 to step 514 are the same as steps 306 to step 310.

[0406] Application Scenario 4: Network Element Registration and Search

[0407] As shown in Figure 6, the specific implementation process includes:

[0408] Step 601: The LMF registers with the NRF to register its capability information.

[0409] For example, LMF can send a registration request message to NRF, such as through Nnrf_NFManagement_NFRegister Register message. After receiving the registration request message, NRF stores LMF's network element registration information and sends a response message (which can be sent through Nnrf_NFManagement_NFRegister response message) to notify LMF that the registration is successful. Specifically, when LMF sends a registration request message to NRF, in addition to its own identification information (NF instance ID, FQDN or IP address of NF, network element instance identification information), NF type, network element type and other information, it can also include at least one of the following:

[0410] LMF supports the ability to collect data at a regional granularity, indicating that the network element can collect positioning-related data information within a certain area based on the granularity information of the area;

[0411] The area information corresponding to the LMF is used to indicate the service range covered by the LMF, such as GAD shape information, cell ID, TA information, etc.

[0412] Capability information supporting AI positioning;

[0413] Ability to support proactive data collection;

[0414] Ability to support training data collection;

[0415] The timeframe supporting data collection;

[0416] AI positioning-related capability information.

[0417] Step 602: The AMF sends a search request message or a network element discovery request to the NRF to find a LMF that meets the conditions.

[0418] For example, AMF sends a network element discovery request (e.g., Nnrf_NFDiscovery_Request service).

[0419] Optionally, the search request message or network element discovery request needs to include a network element type, that is, a network element for indicating that the network element to be searched is a network element such as LMF responsible for location-related service management. Optionally, at least one of the following items may be carried:

[0420] An indication of supporting data collection capability at a regional granularity, used to indicate that the network element being searched needs to support data collection capability at a regional granularity;

[0421] Area information, such as GAD shape information, cell ID, TA information, etc.

[0422] Capability information supporting AI positioning;

[0423] Capabilities to support proactive data collection;

[0424] Ability to support training data collection;

[0425] The timeframe supporting data collection;

[0426] The communication device to be searched needs to support AI positioning related capability information.

[0427] Step 603: The LMF feeds back the network element information of the LMF that meets the conditions;

[0428] For example, the identification information of the LMF that meets the conditions can be fed back, for example, the identification information can be NF instance ID, FQDN or IP address of NF, network element instance identification information, etc.

[0429] Optionally, the network element information may be sent via the Nnrf_NFDiscovery_Request response.

[0430] It should be noted that the embodiment of the present application enables NWDAF to obtain positioning-related data of different data types from LMF at a regional granularity, thereby improving data acquisition efficiency.

[0431] As shown in FIG7 , an embodiment of the present application provides an information transmission method, including:

[0432] Step 701: A second network element receives first information from a first network element, where the first information is used to request acquisition of positioning-related data of a target area.

[0433] Step 702: The second network element sends third information to a third network element based on the first information, where the third information is used to request to obtain positioning-related data of the target area.

[0434] Optionally, the first information or the third information includes at least one of the following:

[0435] Area information corresponding to the target area;

[0436] first indication information, where the first indication information is used to instruct passive data collection;

[0437] second indication information, where the second indication information is used to indicate active data collection;

[0438] The region granularity corresponding to the target region;

[0439] Data qualification information;

[0440] third indication information, where the third indication information is used to instruct data collection based on the area information;

[0441] Seventh indication information, the seventh indication information is used to indicate that the data collection is for model training;

[0442] The eighth indication information is used to indicate the feedback time of the positioning related data.

[0443] Optionally, the region granularity includes at least one of the following:

[0444] Latitude and longitude granularity;

[0445] Cell granularity.

[0446] Optionally, the data limitation information includes at least one of the following:

[0447] Target data type, used to indicate the data type that the positioning-related data of the requested target area must meet;

[0448] Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area;

[0449] Target data source type, used to indicate the type of device that generates positioning-related data for the target area;

[0450] The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

[0451] Optionally, the method further includes:

[0452] The second network element sends a search request message to the fifth network element;

[0453] The second network element receives feedback information from the fifth network element, where the feedback information includes information of at least one third network element;

[0454] The second network element determines, based on the feedback information, a third network element among the at least one third network element to receive the third information;

[0455] The search request message includes at least one of the following:

[0456] Area information corresponding to the target area;

[0457] An indication of the ability to support data collection at a regional granularity;

[0458] Capability information supporting artificial intelligence (AI) positioning;

[0459] Capabilities to support proactive data collection;

[0460] The timeframe supporting data collection;

[0461] Ability to support training data collection;

[0462] The communication device to be searched needs to support AI positioning related capability information.

[0463] The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[0464] Information indicating the AI ​​positioning methods that need to be supported;

[0465] Information indicating the AI ​​positioning inference method that needs to be supported;

[0466] Information indicating the type or granularity of input data that needs to be supported;

[0467] Information indicating the type or granularity of output data that needs to be supported;

[0468] Information indicating the positioning accuracy that needs to be supported;

[0469] Information about the second network element;

[0470] Information about the location object;

[0471] Information indicating when AI positioning support is required;

[0472] Information indicating the area that needs to support AI positioning

[0473] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[0474] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[0475] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[0476] Optionally, the method further includes:

[0477] The second network element receives second information from a third network element, where the second information includes positioning-related data of the target area;

[0478] The second network element sends the second information to the first network element.

[0479] Optionally, the second network element sending the second information to the first network element includes:

[0480] The second network element sends the second information to the first network element through the fourth network element.

[0481] Optionally, the sending the third information to the third network element includes:

[0482] The second network element determines that the third network element needs to actively collect data, and sends third information to the third network element, where the third information includes terminal identification information corresponding to the target area.

[0483] Optionally, before sending the third information to the third network element, the method further includes:

[0484] The second network element determines whether the third network element needs to actively collect data based on the first information.

[0485] Optionally, the method further includes:

[0486] The second network element receives first request information from the third network element, where the first request information is used to request obtaining terminal identification information corresponding to the target area;

[0487] The second network element determines, according to the first request information, terminal identification information corresponding to the target area;

[0488] The second network element sends the terminal identification information to the third network element.

[0489] Optionally, the first request information includes at least one of the following:

[0490] Area information corresponding to the target area;

[0491] Fourth indication information, where the fourth indication information is used to instruct to obtain terminal identification information corresponding to the target area.

[0492] Optionally, the method further includes:

[0493] The second network element receives second request information from the third network element, where the second request information is used to request obtaining cell information corresponding to the target area based on longitude and latitude granularity;

[0494] The second network element determines, according to the second request information, a cell corresponding to the target area based on the latitude and longitude granularity;

[0495] The second network element sends the cell information to a third network element.

[0496] Optionally, the second request information includes at least one of the following:

[0497] Area information corresponding to the target area;

[0498] The fifth indication information is used to instruct to obtain the cell information corresponding to the target area.

[0499] It should be noted that all descriptions about the second network element side in the above embodiments are applicable to the embodiments of the information transmission method applied to the second network element side, and can achieve the same technical effects, so they will not be repeated here.

[0500] As shown in FIG8 , an embodiment of the present application provides an information transmission method, including:

[0501] Step 801: A third network element receives third information from a second network element, where the third information is used to request acquisition of positioning-related data of a target area.

[0502] Step 802: The third network element sends second information to the second network element or the first network element based on the third information, where the second information includes positioning-related data of the target area.

[0503] Optionally, the third information includes at least one of the following:

[0504] Area information corresponding to the target area;

[0505] first indication information, where the first indication information is used to instruct passive data collection;

[0506] second indication information, where the second indication information is used to indicate active data collection;

[0507] The region granularity corresponding to the target region;

[0508] Data qualification information;

[0509] third indication information, where the third indication information is used to instruct data collection based on the area information;

[0510] Seventh indication information, the seventh indication information is used to indicate that the data collection is for model training;

[0511] The eighth indication information is used to indicate the feedback time of the positioning related data.

[0512] Optionally, the region granularity includes at least one of the following:

[0513] Latitude and longitude granularity;

[0514] Cell granularity.

[0515] Optionally, the data limitation information includes at least one of the following:

[0516] Target data type, used to indicate the data type that the positioning-related data of the requested target area must meet;

[0517] Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area;

[0518] Target data source type, used to indicate the type of device that generates positioning-related data for the target area;

[0519] The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

[0520] Optionally, the second information further includes at least one of the following:

[0521] The data type corresponding to the positioning-related data;

[0522] Time information corresponding to the positioning-related data;

[0523] a data source corresponding to the positioning-related data;

[0524] Area information corresponding to the positioning-related data;

[0525] Terminal identification information corresponding to the positioning-related data;

[0526] Access network node identification information corresponding to the positioning-related data;

[0527] The corresponding generation method of the positioning related data.

[0528] Optionally, the third information includes terminal identification information corresponding to the target area.

[0529] Optionally, the method further includes:

[0530] The third network element determines that active data collection is required, and sends a first request message to the second network element, where the first request message is used to request to obtain the terminal identification information corresponding to the target area;

[0531] The third network element receives terminal identification information corresponding to the target area from the second network element.

[0532] Optionally, the method further includes:

[0533] The third network element determines whether active data collection is required based on the third information.

[0534] Optionally, the first request information includes at least one of the following:

[0535] Area information corresponding to the target area;

[0536] Fourth indication information, where the fourth indication information is used to instruct to obtain terminal identification information corresponding to the target area.

[0537] Optionally, when the area granularity corresponding to the target area includes a cell granularity, the method further includes:

[0538] The third network element sends a second request message to the second network element, where the second request message is used to request to obtain cell information corresponding to the target area based on the latitude and longitude granularity;

[0539] The third network element receives cell information of a cell corresponding to the target area based on the latitude and longitude granularity from the second network element.

[0540] Optionally, the second request information includes at least one of the following:

[0541] Area information corresponding to the target area;

[0542] The fifth indication information is used to instruct to obtain the cell information corresponding to the target area.

[0543] Optionally, the method further includes:

[0544] A registration request message is sent to the fifth network element, where the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection at an area granularity, information on the ability to support AI positioning, the ability to support active data collection, the ability to support training data collection, and the time range for supporting data collection.

[0545] It should be noted that all descriptions about the third network element side in the above embodiments are applicable to the embodiments of the information transmission method applied to the third network element side, and can achieve the same technical effects, so they will not be repeated here.

[0546] As shown in FIG9 , an embodiment of the present application provides an information transmission method, including:

[0547] Step 901: The fifth network element receives a search request message from the second network element. The search request message includes at least one of the following: area information corresponding to the target area, an indication of data collection capabilities supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device being searched needs to support.

[0548] Step 902: The fifth network element determines at least one third network element according to the search request message;

[0549] Step 903: The fifth network element sends feedback information to the second network element, where the feedback information includes information of at least one third network element.

[0550] Optionally, the region granularity includes at least one of the following:

[0551] Latitude and longitude granularity;

[0552] Cell granularity.

[0553] The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[0554] Information indicating the AI ​​positioning methods that need to be supported;

[0555] Information indicating the AI ​​positioning inference method that needs to be supported;

[0556] Information indicating the type or granularity of input data that needs to be supported;

[0557] Information indicating the type or granularity of output data that needs to be supported;

[0558] Information indicating the positioning accuracy that needs to be supported;

[0559] Information about the second network element;

[0560] Information about the location object;

[0561] Information indicating when AI positioning support is required;

[0562] Information indicating the area where AI positioning support is required;

[0563] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[0564] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[0565] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[0566] Optionally, the method further includes:

[0567] The fifth network element receives a registration request message from at least one third network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[0568] The AI ​​positioning-related capability information includes at least one of the following:

[0569] an AI positioning method supported by the third network element;

[0570] The AI ​​positioning inference method supported by the third network element;

[0571] the type or granularity of input data supported by the third network element;

[0572] The type or granularity of output data supported by the third network element;

[0573] The positioning accuracy supported by the third network element;

[0574] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[0575] Information about the target that allows AI positioning;

[0576] Information about the time during which the third network element supports AI positioning;

[0577] Information about the area in which the third network element supports AI positioning;

[0578] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[0579] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model; and

[0580] Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

[0581] It should be noted that all descriptions about the fifth network element side in the above embodiments are applicable to the embodiments of the information transmission method applied to the fifth network element side, and can achieve the same technical effects, so they will not be repeated here.

[0582] As shown in FIG10 , an embodiment of the present application provides an information transmission method, including:

[0583] Step 1001: The fifth network element receives a registration request message from at least one third network element, where the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, information on its ability to support AI positioning, its ability to support active data collection, its ability to support training data collection, its time range for supporting data collection, and information on its ability to support AI positioning.

[0584] Optionally, the region granularity includes at least one of the following:

[0585] Latitude and longitude granularity;

[0586] Cell granularity.

[0587] In one embodiment, the AI ​​positioning-related capability information includes at least one of the following:

[0588] an AI positioning method supported by the third network element;

[0589] The AI ​​positioning inference method supported by the third network element;

[0590] the type or granularity of input data supported by the third network element;

[0591] The type or granularity of output data supported by the third network element;

[0592] The positioning accuracy supported by the third network element;

[0593] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[0594] Information about the target that allows AI positioning;

[0595] Information about the time during which the third network element supports AI positioning;

[0596] Information about the area in which the third network element supports AI positioning;

[0597] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[0598] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model; and

[0599] Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

[0600] Optionally, the method further includes:

[0601] The fifth network element receives a search request message from the second network element, where the search request message includes at least one of the following: area information of a target area, an indication of a data collection capability supporting area granularity, capability information of supporting AI positioning, capability of supporting active data collection, capability of supporting training data collection, a time range of supported data collection, and capability information related to AI positioning that the communication device to be searched needs to support;

[0602] The fifth network element determines at least one third network element according to the search request message;

[0603] The fifth network element sends feedback information to the second network element, where the feedback information includes information about the at least one third network element.

[0604] The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[0605] Information indicating the AI ​​positioning methods that need to be supported;

[0606] Information indicating the AI ​​positioning inference method that needs to be supported;

[0607] Information indicating the type or granularity of input data that needs to be supported;

[0608] Information indicating the type or granularity of output data that needs to be supported;

[0609] Information indicating the positioning accuracy that needs to be supported;

[0610] Information about the second network element;

[0611] Information about the location object;

[0612] Information indicating when AI positioning support is required;

[0613] Information indicating the area where AI positioning support is required;

[0614] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[0615] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[0616] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[0617] It should be noted that all descriptions about the fifth network element side in the above embodiments are applicable to the embodiments of the information transmission method applied to the fifth network element side, and can achieve the same technical effects, so they will not be repeated here.

[0618] As shown in FIG11 , an embodiment of the present application provides an information transmission method, including:

[0619] In step 1101, the third network element sends a registration request message to the fifth network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, information on its ability to support AI positioning, information on its ability to support active data collection, information on its ability to support training data collection, information on its time range for supporting data collection, and information on its ability to support AI positioning.

[0620] Optionally, the region granularity includes at least one of the following:

[0621] Latitude and longitude granularity;

[0622] Cell granularity.

[0623] In one embodiment, the AI ​​positioning-related capability information includes at least one of the following:

[0624] an AI positioning method supported by the third network element;

[0625] The AI ​​positioning inference method supported by the third network element;

[0626] the type or granularity of input data supported by the third network element;

[0627] The type or granularity of output data supported by the third network element;

[0628] The positioning accuracy supported by the third network element;

[0629] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[0630] Information about the target that allows AI positioning;

[0631] Information about the time during which the third network element supports AI positioning;

[0632] Information about the area in which the third network element supports AI positioning;

[0633] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[0634] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model;

[0635] Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

[0636] It should be noted that all descriptions about the third network element side in the above embodiments are applicable to the embodiments of the information transmission method applied to the third network element side, and can achieve the same technical effects, so they will not be repeated here.

[0637] As shown in FIG12 , an embodiment of the present application provides an information transmission method, including:

[0638] Step 1201: The second network element sends a search request message to the fifth network element. The search request message includes at least one of the following: area information corresponding to the target area, an indication of the data collection capability supported at the regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device to be searched needs to support.

[0639] Step 1202: The second network element receives feedback information from the fifth network element, where the feedback information includes information of at least one third network element.

[0640] Optionally, the region granularity includes at least one of the following:

[0641] Latitude and longitude granularity;

[0642] Cell granularity.

[0643] In one embodiment, the AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[0644] Information indicating the AI ​​positioning methods that need to be supported;

[0645] Information indicating the AI ​​positioning inference method that needs to be supported;

[0646] Information indicating the type or granularity of input data that needs to be supported;

[0647] Information indicating the type or granularity of output data that needs to be supported;

[0648] Information indicating the positioning accuracy that needs to be supported;

[0649] Information about the second network element;

[0650] Information about the location object;

[0651] Information indicating when AI positioning support is required;

[0652] Information indicating the area where AI positioning support is required;

[0653] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[0654] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[0655] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[0656] It should be noted that all descriptions about the second network element side in the above embodiments are applicable to the embodiments of the information transmission method applied to the second network element side, and can achieve the same technical effects, so they will not be repeated here.

[0657] The information transmission method provided in the embodiment of the present application can be executed by an information transmission device. In the embodiment of the present application, the information transmission device provided in the embodiment of the present application is described by taking the information transmission method executed by the information transmission device as an example.

[0658] As shown in FIG13 , an information transmission device 1300 according to an embodiment of the present application, applied to a first network element, includes:

[0659] A first sending module 1301 is configured to send first information to a second network element, where the first information is used to request acquisition of positioning-related data of a target area;

[0660] The first receiving module 1302 is configured to receive second information from a third network element, where the second information includes positioning-related data of the target area.

[0661] Optionally, the first information includes at least one of the following:

[0662] Area information corresponding to the target area;

[0663] first indication information, where the first indication information is used to instruct passive data collection;

[0664] second indication information, where the second indication information is used to indicate active data collection;

[0665] Information indicating the area granularity corresponding to the target area;

[0666] Data qualification information;

[0667] third indication information, where the third indication information is used to instruct data collection based on the area information;

[0668] Seventh indication information, the seventh indication information is used to indicate that the data collection is for model training;

[0669] The eighth indication information is used to indicate the feedback time of the positioning related data.

[0670] Optionally, the region granularity includes at least one of the following:

[0671] Latitude and longitude granularity;

[0672] Cell granularity.

[0673] Optionally, the data limitation information includes at least one of the following:

[0674] Target data type, used to indicate the data type that the positioning-related data of the requested target area must meet;

[0675] Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area;

[0676] Target data source type, used to indicate the type of device that generates positioning-related data for the target area;

[0677] The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

[0678] Optionally, the first receiving module is configured to:

[0679] The second information from the third network element is received through the second network element and / or the fourth network element.

[0680] Optionally, the first sending module is configured to:

[0681] The first information is sent to the second network element through the fourth network element.

[0682] Optionally, the second information further includes at least one of the following:

[0683] The data type corresponding to the positioning-related data;

[0684] Time information corresponding to the positioning-related data;

[0685] a data source corresponding to the positioning-related data;

[0686] Area information corresponding to the positioning-related data;

[0687] Terminal identification information corresponding to the positioning-related data;

[0688] Access network node identification information corresponding to the positioning-related data;

[0689] The corresponding generation method of the positioning related data.

[0690] It should be noted that the device embodiment is a device corresponding to the above method. All implementation methods in the above method embodiment are applicable to the device embodiment and can achieve the same technical effects, which will not be repeated here.

[0691] An embodiment of the present application also provides a communication device, which is a first network element and includes a processor and a communication interface, wherein the communication interface is used to send first information to a second network element, and the first information is used to request to obtain positioning-related data of a target area; and receive second information from a third network element, and the second information includes the positioning-related data of the target area.

[0692] Optionally, the first information includes at least one of the following:

[0693] Area information corresponding to the target area;

[0694] first indication information, where the first indication information is used to instruct passive data collection;

[0695] second indication information, where the second indication information is used to indicate active data collection;

[0696] Information indicating the area granularity corresponding to the target area;

[0697] Data qualification information;

[0698] third indication information, where the third indication information is used to instruct data collection based on the area information;

[0699] Seventh indication information, the seventh indication information is used to indicate that the data collection is for model training;

[0700] The eighth indication information is used to indicate the feedback time of the positioning related data.

[0701] Optionally, the region granularity includes at least one of the following:

[0702] Latitude and longitude granularity;

[0703] Cell granularity.

[0704] Optionally, the data limitation information includes at least one of the following:

[0705] Target data type, used to indicate the data type that the positioning-related data of the requested target area must meet;

[0706] Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area;

[0707] Target data source type, used to indicate the type of device that generates positioning-related data for the target area;

[0708] The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

[0709] Optionally, the communication interface is used to:

[0710] The second information from the third network element is received through the second network element and / or the fourth network element.

[0711] Optionally, the communication interface is used to:

[0712] The first information is sent to the second network element through the fourth network element.

[0713] Optionally, the second information further includes at least one of the following:

[0714] The data type corresponding to the positioning-related data;

[0715] Time information corresponding to the positioning-related data;

[0716] a data source corresponding to the positioning-related data;

[0717] Area information corresponding to the positioning-related data;

[0718] Terminal identification information corresponding to the positioning-related data;

[0719] Access network node identification information corresponding to the positioning-related data;

[0720] The positioning-related data corresponds to a generation method.

[0721] Preferably, an embodiment of the present application also provides a communication device, which is a first network element, including a processor, a memory, and a program or instruction stored in the memory and executable on the processor. When the program or instruction is executed by the processor, the various processes of the above-mentioned information transmission method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0722] Specifically, the embodiment of the present application further provides a network element, which is a first network element. As shown in Figure 14, the first network element 1400 includes: a processor 1401, a network interface 1402, and a memory 1403. The network interface 1402 is, for example, a common public radio interface (CPRI).

[0723] Specifically, the first network element 1400 of an embodiment of the present invention also includes: instructions or programs stored in the memory 1403 and executable on the processor 1401. The processor 1401 calls the instructions or programs in the memory 1403 to execute the methods executed by the modules shown in FIG13 and achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0724] An embodiment of the present application also provides a computer-readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information transmission method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0725] The computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0726] As shown in FIG15 , an information transmission device 1500 according to an embodiment of the present application, applied to a second network element, includes:

[0727] The second receiving module 1501 is configured to receive first information from a first network element, where the first information is used to request acquisition of positioning-related data of a target area;

[0728] The second sending module 1502 is configured to send third information to a third network element according to the first information, where the third information is used to request acquisition of positioning-related data of the target area.

[0729] Optionally, the first information or the third information includes at least one of the following:

[0730] Area information corresponding to the target area;

[0731] first indication information, where the first indication information is used to instruct passive data collection;

[0732] second indication information, where the second indication information is used to indicate active data collection;

[0733] The region granularity corresponding to the target region;

[0734] Data qualification information;

[0735] third indication information, where the third indication information is used to instruct data collection based on the area information;

[0736] Seventh indication information, the seventh indication information is used to indicate that the data collection is for model training;

[0737] The eighth indication information is used to indicate the feedback time of the positioning related data.

[0738] Optionally, the region granularity includes at least one of the following:

[0739] Latitude and longitude granularity;

[0740] Cell granularity.

[0741] Optionally, the data limitation information includes at least one of the following:

[0742] Target data type, used to indicate the data type that the positioning-related data of the requested target area must meet;

[0743] Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area;

[0744] Target data source type, used to indicate the type of device that generates positioning-related data for the target area;

[0745] The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

[0746] Optionally, the device further includes:

[0747] a seventh sending module, configured to send a search request message to the fifth network element;

[0748] a seventh receiving module, configured to receive feedback information from the fifth network element, where the feedback information includes information of at least one third network element;

[0749] A second determining module is configured to determine, based on the feedback information, a third network element, among the at least one third network element, to receive the third information;

[0750] The search request message includes at least one of the following:

[0751] Area information corresponding to the target area;

[0752] An indication of the ability to support data collection at a regional granularity;

[0753] Capability information to support artificial intelligence (AI) positioning;

[0754] Ability to support proactive data collection;

[0755] Ability to support training data collection;

[0756] The timeframe supporting data collection; and

[0757] The communication device to be searched needs to support AI positioning related capability information.

[0758] The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[0759] Information indicating the AI ​​positioning methods that need to be supported;

[0760] Information indicating the AI ​​positioning inference method that needs to be supported;

[0761] Information indicating the type or granularity of input data that needs to be supported;

[0762] Information indicating the type or granularity of output data that needs to be supported;

[0763] Information indicating the positioning accuracy that needs to be supported;

[0764] Information about the second network element;

[0765] Information about the location object;

[0766] Information indicating when AI positioning support is required;

[0767] Information indicating the area where AI positioning support is required;

[0768] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[0769] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[0770] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[0771] Optionally, the device further includes:

[0772] an eighth receiving module, configured to receive second information from a third network element, where the second information includes positioning-related data of the target area;

[0773] An eighth sending module is configured to send the second information to the first network element.

[0774] Optionally, the eighth sending module is configured to:

[0775] The second information is sent to the first network element through the fourth network element.

[0776] Optionally, the second sending module is configured to:

[0777] It is determined that the third network element needs to actively collect data, and third information is sent to the third network element, where the third information includes terminal identification information corresponding to the target area.

[0778] Optionally, before the second sending module sends the third information to the third network element, the apparatus further includes:

[0779] The third determining module is used to determine whether the third network element needs to actively collect data based on the first information.

[0780] Optionally, the device further includes:

[0781] a ninth receiving module, configured to receive first request information from the third network element, where the first request information is used to request obtaining terminal identification information corresponding to the target area;

[0782] a fourth determining module, configured to determine terminal identification information corresponding to the target area according to the first request information;

[0783] A ninth sending module is configured to send the terminal identification information to the third network element.

[0784] Optionally, the first request information includes at least one of the following:

[0785] Area information corresponding to the target area;

[0786] Fourth indication information, where the fourth indication information is used to instruct to obtain terminal identification information corresponding to the target area.

[0787] Optionally, the device further includes:

[0788] a tenth receiving module, configured to receive second request information from the third network element, where the second request information is used to request to obtain cell information corresponding to the target area based on latitude and longitude granularity;

[0789] a fifth determining module, configured to determine, according to the second request information, a cell corresponding to the target area based on the latitude and longitude granularity;

[0790] The tenth sending module is used to send the cell information to the third network element.

[0791] Optionally, the second request information includes at least one of the following:

[0792] Area information corresponding to the target area;

[0793] The fifth indication information is used to instruct to obtain the cell information corresponding to the target area.

[0794] It should be noted that the device embodiment corresponds to the above method, and all implementation methods in the above method embodiment are applicable to the device embodiment and can achieve the same technical effects.

[0795] The information transmission device provided in the embodiment of the present application can implement the various processes implemented in the method embodiment of Figure 7 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0796] An embodiment of the present application also provides a communication device, which is a second network element, including a processor and a communication interface, wherein the communication interface is used to receive first information from a first network element, and the first information is used to request to obtain positioning-related data of a target area; based on the first information, third information is sent to a third network element, and the third information is used to request to obtain positioning-related data of the target area.

[0797] Optionally, the first information or the third information includes at least one of the following:

[0798] Area information corresponding to the target area;

[0799] first indication information, where the first indication information is used to instruct passive data collection;

[0800] second indication information, where the second indication information is used to indicate active data collection;

[0801] The region granularity corresponding to the target region;

[0802] Data qualification information;

[0803] third indication information, where the third indication information is used to instruct data collection based on the area information;

[0804] Seventh indication information, the seventh indication information is used to indicate that the data collection is for model training;

[0805] The eighth indication information is used to indicate the feedback time of the positioning related data.

[0806] Optionally, the region granularity includes at least one of the following:

[0807] Latitude and longitude granularity;

[0808] Cell granularity.

[0809] Optionally, the data limitation information includes at least one of the following:

[0810] Target data type, used to indicate the data type that the positioning-related data of the requested target area must meet;

[0811] Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area;

[0812] Target data source type, used to indicate the type of device that generates positioning-related data for the target area;

[0813] The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

[0814] Optionally, the communication interface is further used to:

[0815] Sending a search request message to the fifth network element;

[0816] receiving feedback information from the fifth network element, where the feedback information includes information of at least one third network element;

[0817] Based on the feedback information, determining, among the at least one third network element, a third network element that receives the third information;

[0818] The search request message includes at least one of the following:

[0819] Area information corresponding to the target area;

[0820] An indication of the ability to support data collection at a regional granularity;

[0821] Capability information supporting artificial intelligence (AI) positioning;

[0822] Capabilities to support proactive data collection;

[0823] Ability to support training data collection;

[0824] The timeframe supporting data collection;

[0825] The communication device to be searched needs to support AI positioning related capability information.

[0826] Optionally, the communication interface is further used to:

[0827] receiving second information from a third network element, where the second information includes positioning-related data of the target area;

[0828] Send the second information to the first network element.

[0829] Optionally, the communication interface is used to:

[0830] The second information is sent to the first network element through the fourth network element.

[0831] Optionally, the communication interface is used to:

[0832] It is determined that the third network element needs to actively collect data, and third information is sent to the third network element, where the third information includes terminal identification information corresponding to the target area.

[0833] Optionally, the processor is further configured to:

[0834] Determine whether the third network element needs to actively collect data based on the first information.

[0835] Optionally, the communication interface is further used to:

[0836] receiving a first request message from the third network element, where the first request message is used to request obtaining terminal identification information corresponding to the target area;

[0837] Determining terminal identification information corresponding to the target area according to the first request information;

[0838] Send the terminal identification information to the third network element.

[0839] Optionally, the first request information includes at least one of the following:

[0840] Area information corresponding to the target area;

[0841] Fourth indication information, where the fourth indication information is used to instruct to obtain terminal identification information corresponding to the target area.

[0842] Optionally, the communication interface is further used to:

[0843] receiving a second request message from the third network element, where the second request message is used to request obtaining cell information corresponding to the target area based on latitude and longitude granularity;

[0844] Determining, according to the second request information, a cell corresponding to the target area based on the latitude and longitude granularity;

[0845] The cell information is sent to a third network element.

[0846] Optionally, the second request information includes at least one of the following:

[0847] Area information corresponding to the target area;

[0848] The fifth indication information is used to instruct to obtain the cell information corresponding to the target area.

[0849] Optionally, an embodiment of the present application further provides a network element, which is a second network element. The structure of the second network element can be seen in Figure 14 and is not described in detail here. The processor calls the instructions or program in the memory to execute the method executed by each module shown in Figure 15, and achieves the same technical effect. To avoid repetition, it is not described here.

[0850] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information transmission method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0851] The processor is the processor in the access network device described in the above embodiment. The readable storage medium can be non-volatile or non-transient. The readable storage medium can include a computer-readable storage medium, such as a computer read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk.

[0852] As shown in FIG16 , an information transmission device 1600 according to an embodiment of the present application, applied to a third network element, includes:

[0853] A third receiving module 1601 is configured to receive third information from a second network element, where the third information is used to request acquisition of positioning-related data of a target area;

[0854] The third sending module 1602 is configured to send second information to the second network element or the first network element according to the third information, where the second information includes positioning-related data of the target area.

[0855] Optionally, the third information includes at least one of the following:

[0856] Area information corresponding to the target area;

[0857] first indication information, where the first indication information is used to instruct passive data collection;

[0858] second indication information, where the second indication information is used to indicate active data collection;

[0859] The region granularity corresponding to the target region;

[0860] Data qualification information;

[0861] third indication information, where the third indication information is used to instruct data collection based on the area information;

[0862] Seventh indication information, the seventh indication information is used to indicate that the data collection is for model training;

[0863] The eighth indication information is used to indicate the feedback time of the positioning related data.

[0864] Optionally, the region granularity includes at least one of the following:

[0865] Latitude and longitude granularity;

[0866] Cell granularity.

[0867] Optionally, the data limitation information includes at least one of the following:

[0868] Target data type, used to indicate the data type that the positioning-related data of the requested target area must meet;

[0869] Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area;

[0870] Target data source type, used to indicate the type of device that generates positioning-related data for the target area;

[0871] The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

[0872] Optionally, the second information further includes at least one of the following:

[0873] The data type corresponding to the positioning-related data;

[0874] Time information corresponding to the positioning-related data;

[0875] a data source corresponding to the positioning-related data;

[0876] Area information corresponding to the positioning-related data;

[0877] Terminal identification information corresponding to the positioning-related data;

[0878] Access network node identification information corresponding to the positioning-related data;

[0879] The positioning-related data corresponds to a generation method.

[0880] Optionally, the third information includes terminal identification information corresponding to the target area.

[0881] Optionally, the device further includes:

[0882] an eleventh sending module, configured to determine that active data collection is required, and send a first request message to the second network element, wherein the first request message is used to request to obtain terminal identification information corresponding to the target area;

[0883] An eleventh receiving module is configured to receive terminal identification information corresponding to the target area from the second network element.

[0884] Optionally, the device further includes:

[0885] The sixth determination module is configured to determine whether active data collection is required based on the third information.

[0886] Optionally, the first request information includes at least one of the following:

[0887] Area information corresponding to the target area;

[0888] Fourth indication information, where the fourth indication information is used to instruct to obtain terminal identification information corresponding to the target area.

[0889] Optionally, when the area granularity corresponding to the target area includes a cell granularity, the apparatus further includes:

[0890] A twelfth sending module, configured to send second request information to a second network element, where the second request information is used to request to obtain cell information corresponding to the target area based on latitude and longitude granularity;

[0891] A twelfth receiving module is configured to receive cell information of a cell corresponding to the target area based on the latitude and longitude granularity from the second network element.

[0892] Optionally, the second request information includes at least one of the following:

[0893] Area information corresponding to the target area;

[0894] The fifth indication information is used to instruct to obtain the cell information corresponding to the target area.

[0895] Optionally, the device further includes:

[0896] The thirteenth sending module is used to send a registration request message to the fifth network element, where the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[0897] The AI ​​positioning-related capability information includes at least one of the following:

[0898] an AI positioning method supported by the third network element;

[0899] The AI ​​positioning inference method supported by the third network element;

[0900] the type or granularity of input data supported by the third network element;

[0901] The type or granularity of output data supported by the third network element;

[0902] The positioning accuracy supported by the third network element;

[0903] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[0904] Information about the target that allows AI positioning;

[0905] Information about the time during which the third network element supports AI positioning;

[0906] Information about the area in which the third network element supports AI positioning;

[0907] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[0908] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model; and

[0909] Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

[0910] It should be noted that the device embodiment corresponds to the above method, and all implementation methods in the above method embodiment are applicable to the device embodiment and can achieve the same technical effects.

[0911] The information transmission device provided in the embodiment of the present application can implement the various processes implemented in the method embodiment of Figure 8 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0912] An embodiment of the present application also provides a communication device, which is a third network element and includes a processor and a communication interface. The communication interface is used to receive third information from a second network element, and the third information is used to request to obtain positioning-related data of a target area; based on the third information, second information is sent to the second network element or the first network element, and the second information includes the positioning-related data of the target area.

[0913] Optionally, the third information includes at least one of the following:

[0914] Area information corresponding to the target area;

[0915] first indication information, where the first indication information is used to instruct passive data collection;

[0916] second indication information, where the second indication information is used to indicate active data collection;

[0917] The region granularity corresponding to the target region;

[0918] Data qualification information;

[0919] third indication information, where the third indication information is used to instruct data collection based on the area information;

[0920] Seventh indication information, the seventh indication information is used to indicate that the data collection is for model training;

[0921] The eighth indication information is used to indicate the feedback time of the positioning related data.

[0922] Optionally, the region granularity includes at least one of the following:

[0923] Latitude and longitude granularity;

[0924] Cell granularity.

[0925] Optionally, the data limitation information includes at least one of the following:

[0926] Target data type, used to indicate the data type that the positioning-related data of the requested target area must meet;

[0927] Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area;

[0928] Target data source type, used to indicate the type of device that generates positioning-related data for the target area;

[0929] The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

[0930] Optionally, the second information further includes at least one of the following:

[0931] The data type corresponding to the positioning-related data;

[0932] Time information corresponding to the positioning-related data;

[0933] a data source corresponding to the positioning-related data;

[0934] Area information corresponding to the positioning-related data;

[0935] Terminal identification information corresponding to the positioning-related data;

[0936] Access network node identification information corresponding to the positioning-related data;

[0937] The positioning-related data corresponds to a generation method.

[0938] Optionally, the third information includes terminal identification information corresponding to the target area.

[0939] Optionally, the communication interface is further used to:

[0940] Determining that active data collection is required, sending a first request message to the second network element, where the first request message is used to request obtaining terminal identification information corresponding to the target area;

[0941] Receive terminal identification information corresponding to the target area from the second network element.

[0942] Optionally, the processor is further configured to:

[0943] It is determined whether active data collection is required based on the third information.

[0944] Optionally, the first request information includes at least one of the following:

[0945] Area information corresponding to the target area;

[0946] Fourth indication information, where the fourth indication information is used to instruct to obtain terminal identification information corresponding to the target area.

[0947] Optionally, the communication interface is further used to:

[0948] Sending a second request message to the second network element, where the second request message is used to request obtaining cell information corresponding to the target area based on latitude and longitude granularity;

[0949] Receive cell information of a cell corresponding to the target area based on the longitude and latitude granularity from the second network element.

[0950] Optionally, the second request information includes at least one of the following:

[0951] Area information corresponding to the target area;

[0952] The fifth indication information is used to instruct to obtain the cell information corresponding to the target area.

[0953] Optionally, the communication interface is further used to:

[0954] A registration request message is sent to the fifth network element, where the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[0955] The AI ​​positioning-related capability information includes at least one of the following:

[0956] an AI positioning method supported by the third network element;

[0957] The AI ​​positioning inference method supported by the third network element;

[0958] the type or granularity of input data supported by the third network element;

[0959] The type or granularity of output data supported by the third network element;

[0960] The positioning accuracy supported by the third network element;

[0961] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[0962] Information about the target that allows AI positioning;

[0963] Information about the time during which the third network element supports AI positioning;

[0964] Information about the area in which the third network element supports AI positioning;

[0965] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[0966] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model; and

[0967] Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

[0968] Optionally, an embodiment of the present application further provides a network element, which is a third network element. The structure of the third network element can be seen in Figure 14 and is not described in detail here. The processor calls the instructions or program in the memory to execute the method executed by each module shown in Figure 16, and achieves the same technical effect. To avoid repetition, it is not described here.

[0969] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information transmission method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0970] The processor is the processor in the access network device described in the above embodiment. The readable storage medium can be non-volatile or non-transient. The readable storage medium can include a computer-readable storage medium, such as a computer read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk.

[0971] As shown in FIG17 , an information transmission device 1700 according to an embodiment of the present application, applied to a fifth network element, includes:

[0972] A fourth receiving module 1701 is configured to receive a search request message from a second network element, the search request message including at least one of the following: area information corresponding to a target area, an indication of data collection capabilities supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device being searched needs to support;

[0973] A first determining module 1702 is configured to determine at least one third network element according to the search request message;

[0974] The fourth sending module 1703 is configured to send feedback information to the second network element, where the feedback information includes information of at least one third network element.

[0975] Optionally, the region granularity includes at least one of the following:

[0976] Latitude and longitude granularity;

[0977] Cell granularity.

[0978] The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[0979] Information indicating the AI ​​positioning methods that need to be supported;

[0980] Information indicating the AI ​​positioning inference method that needs to be supported;

[0981] Information indicating the type or granularity of input data that needs to be supported;

[0982] Information indicating the type or granularity of output data that needs to be supported;

[0983] Information indicating the positioning accuracy that needs to be supported;

[0984] Information about the second network element;

[0985] Information about the location object;

[0986] Information indicating when AI positioning support is required;

[0987] Information indicating the area where AI positioning support is required;

[0988] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[0989] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[0990] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[0991] Optionally, the device further includes:

[0992] A thirteenth receiving module is used to receive a registration request message from at least one third network element, where the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, information on its ability to support AI positioning, its ability to support active data collection, its ability to support training data collection, its time range for supporting data collection, and information on its ability to support AI positioning.

[0993] The AI ​​positioning-related capability information includes at least one of the following:

[0994] an AI positioning method supported by the third network element;

[0995] The AI ​​positioning inference method supported by the third network element;

[0996] the type or granularity of input data supported by the third network element;

[0997] The type or granularity of output data supported by the third network element;

[0998] The positioning accuracy supported by the third network element;

[0999] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[1000] Information about the target that allows AI positioning;

[1001] Information about the time during which the third network element supports AI positioning;

[1002] Information about the area in which the third network element supports AI positioning;

[1003] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[1004] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model; and

[1005] Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

[1006] It should be noted that the device embodiment corresponds to the above method, and all implementation methods in the above method embodiment are applicable to the device embodiment and can achieve the same technical effects.

[1007] The information transmission device provided in the embodiment of the present application can implement the various processes implemented in the method embodiment of Figure 9 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[1008] An embodiment of the present application further provides a communications device, the communications device being a fifth network element, comprising a processor and a communications interface, the communications interface being configured to receive a search request message from a second network element, the search request message comprising at least one of the following: area information corresponding to a target area, an indication of a data collection capability supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device being searched needs to support;

[1009] Determining at least one third network element according to the search request message;

[1010] Feedback information is sent to the second network element, where the feedback information includes information of at least one third network element.

[1011] Optionally, the region granularity includes at least one of the following:

[1012] Latitude and longitude granularity;

[1013] Cell granularity.

[1014] The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[1015] Information indicating the AI ​​positioning methods that need to be supported;

[1016] Information indicating the AI ​​positioning inference method that needs to be supported;

[1017] Information indicating the type or granularity of input data that needs to be supported;

[1018] Information indicating the type or granularity of output data that needs to be supported;

[1019] Information indicating the positioning accuracy that needs to be supported;

[1020] Information about the second network element;

[1021] Information about the location object;

[1022] Information indicating when AI positioning support is required;

[1023] Information indicating the area where AI positioning support is required;

[1024] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[1025] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[1026] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[1027] Optionally, the communication interface is further used to:

[1028] Receive a registration request message from at least one third network element, where the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, information on its ability to support AI positioning, its ability to support active data collection, its ability to support training data collection, its time range for supporting data collection, and information on its ability to support AI positioning.

[1029] The AI ​​positioning-related capability information includes at least one of the following:

[1030] an AI positioning method supported by the third network element;

[1031] The AI ​​positioning inference method supported by the third network element;

[1032] the type or granularity of input data supported by the third network element;

[1033] The type or granularity of output data supported by the third network element;

[1034] The positioning accuracy supported by the third network element;

[1035] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[1036] Information about the target that allows AI positioning;

[1037] Information about the time during which the third network element supports AI positioning;

[1038] Information about the area in which the third network element supports AI positioning;

[1039] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[1040] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model; and

[1041] Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

[1042] Optionally, an embodiment of the present application further provides a network element, which is a fifth network element. The structure of the fifth network element can be seen in Figure 14 and is not described in detail here. The processor calls the instructions or program in the memory to execute the method executed by each module shown in Figure 17, and achieves the same technical effect. To avoid repetition, it is not described here.

[1043] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information transmission method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[1044] The readable storage medium may be non-volatile or non-transient. The readable storage medium may include a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[1045] As shown in FIG18 , an information transmission device 1800 according to an embodiment of the present application, applied to a fifth network element, includes:

[1046] The fifth receiving module 1801 is used to receive a registration request message from at least one third network element, wherein the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[1047] The AI ​​positioning-related capability information includes at least one of the following:

[1048] an AI positioning method supported by the third network element;

[1049] The AI ​​positioning inference method supported by the third network element;

[1050] the type or granularity of input data supported by the third network element;

[1051] The type or granularity of output data supported by the third network element;

[1052] The positioning accuracy supported by the third network element;

[1053] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[1054] Information about the target that allows AI positioning;

[1055] Information about the time during which the third network element supports AI positioning;

[1056] Information about the area in which the third network element supports AI positioning;

[1057] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[1058] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model; and

[1059] Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

[1060] Optionally, the region granularity includes at least one of the following:

[1061] Latitude and longitude granularity;

[1062] Cell granularity.

[1063] Optionally, the device further includes:

[1064] a fourteenth receiving module, configured to receive a search request message from the second network element, the search request message including at least one of the following: area information of a target area, an indication of a data collection capability supporting area granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device to be searched needs to support;

[1065] a seventh determining module, configured to determine at least one third network element according to the search request message;

[1066] A fourteenth sending module is configured to send feedback information to the second network element, where the feedback information includes information about the at least one third network element.

[1067] The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[1068] Information indicating the AI ​​positioning methods that need to be supported;

[1069] Information indicating the AI ​​positioning inference method that needs to be supported;

[1070] Information indicating the type or granularity of input data that needs to be supported;

[1071] Information indicating the type or granularity of output data that needs to be supported;

[1072] Information indicating the positioning accuracy that needs to be supported;

[1073] Information about the second network element;

[1074] Information about the location object;

[1075] Information indicating when AI positioning support is required;

[1076] Information indicating the area where AI positioning support is required;

[1077] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[1078] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[1079] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[1080] It should be noted that the device embodiment corresponds to the above method, and all implementation methods in the above method embodiment are applicable to the device embodiment and can achieve the same technical effects.

[1081] The information transmission device provided in the embodiment of the present application can implement the various processes implemented in the method embodiment of Figure 10 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[1082] An embodiment of the present application also provides a communication device, which is a fifth network element, including a processor and a communication interface, wherein the communication interface is used to receive a registration request message from at least one third network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[1083] Optionally, the region granularity includes at least one of the following:

[1084] Latitude and longitude granularity;

[1085] Cell granularity.

[1086] The AI ​​positioning-related capability information includes at least one of the following:

[1087] an AI positioning method supported by the third network element;

[1088] The AI ​​positioning inference method supported by the third network element;

[1089] the type or granularity of input data supported by the third network element;

[1090] The type or granularity of output data supported by the third network element;

[1091] The positioning accuracy supported by the third network element;

[1092] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[1093] Information about the target that allows AI positioning;

[1094] Information about the time during which the third network element supports AI positioning;

[1095] Information about the area in which the third network element supports AI positioning;

[1096] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[1097] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model; and

[1098] Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

[1099] Optionally, the communication interface is further used to:

[1100] receiving a search request message from the second network element, the search request message including at least one of the following: area information of a target area, an indication of a data collection capability supporting area granularity, capability information of supporting AI positioning, capability of supporting active data collection, capability of supporting training data collection, a time range of supported data collection, and capability information related to AI positioning that the communication device to be searched needs to support;

[1101] Determining at least one third network element according to the search request message;

[1102] Feedback information is sent to the second network element, where the feedback information includes information about the at least one third network element.

[1103] The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[1104] Information indicating the AI ​​positioning methods that need to be supported;

[1105] Information indicating the AI ​​positioning inference method that needs to be supported;

[1106] Information indicating the type or granularity of input data that needs to be supported;

[1107] Information indicating the type or granularity of output data that needs to be supported;

[1108] Information indicating the positioning accuracy that needs to be supported;

[1109] Information about the second network element;

[1110] Information about the location object;

[1111] Information indicating when AI positioning support is required;

[1112] Information indicating the area where AI positioning support is required;

[1113] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[1114] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[1115] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[1116] Optionally, an embodiment of the present application further provides a network element, which is a fifth network element. The structure of the fifth network element can be seen in Figure 14 and is not described in detail here. The processor calls instructions or programs in the memory to execute the methods executed by each module shown in Figure 18, and achieves the same technical effect. To avoid repetition, it is not described here.

[1117] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information transmission method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[1118] The readable storage medium may be non-volatile or non-transient. The readable storage medium may include a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[1119] As shown in FIG19 , an information transmission device 1900 according to an embodiment of the present application, applied to a third network element, includes:

[1120] The fifth sending module 1901 is used to send a registration request message to the fifth network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

[1121] Optionally, the region granularity includes at least one of the following:

[1122] Latitude and longitude granularity;

[1123] Cell granularity.

[1124] The AI ​​positioning-related capability information includes at least one of the following:

[1125] an AI positioning method supported by the third network element;

[1126] The AI ​​positioning inference method supported by the third network element;

[1127] the type or granularity of input data supported by the third network element;

[1128] The type or granularity of output data supported by the third network element;

[1129] The positioning accuracy supported by the third network element;

[1130] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[1131] Information about the target that allows AI positioning;

[1132] Information about the time during which the third network element supports AI positioning;

[1133] Information about the area in which the third network element supports AI positioning;

[1134] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[1135] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model; and

[1136] Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

[1137] It should be noted that the device embodiment corresponds to the above method, and all implementation methods in the above method embodiment are applicable to the device embodiment and can achieve the same technical effects.

[1138] The information transmission device provided in the embodiment of the present application can implement the various processes implemented in the method embodiment of Figure 11 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[1139] An embodiment of the present application further provides a communication device, which is a third network element and includes a processor and a communication interface, wherein the communication interface is used to send a registration request message to a fifth network element, wherein the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection at an area granularity, information on the ability to support AI positioning, an ability to support active data collection, an ability to support training data collection, a time range for supporting data collection, and information on the ability to support AI positioning.

[1140] The AI ​​positioning-related capability information includes at least one of the following:

[1141] an AI positioning method supported by the third network element;

[1142] The AI ​​positioning inference method supported by the third network element;

[1143] the type or granularity of input data supported by the third network element;

[1144] The type or granularity of output data supported by the third network element;

[1145] The positioning accuracy supported by the third network element;

[1146] Allowing the third network element to be requested for information about the device that performs AI positioning analysis;

[1147] Information about the target that allows AI positioning;

[1148] Information about the time during which the third network element supports AI positioning;

[1149] Information about the area in which the third network element supports AI positioning;

[1150] Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model;

[1151] Information indicating whether the third network element has model reasoning capability corresponding to the AI ​​positioning model; and

[1152] Information indicating whether the third network element has the model acquisition capability corresponding to the AI ​​positioning model.

[1153] Optionally, the region granularity includes at least one of the following:

[1154] Latitude and longitude granularity;

[1155] Cell granularity.

[1156] Optionally, an embodiment of the present application further provides a network element, which is a third network element. The structure of the third network element can be seen in Figure 14 and is not described in detail here. The processor calls the instructions or program in the memory to execute the method executed by each module shown in Figure 19, and achieves the same technical effect. To avoid repetition, it is not described here.

[1157] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information transmission method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[1158] The readable storage medium may be non-volatile or non-transient. The readable storage medium may include a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[1159] As shown in FIG20 , an information transmission device 2000 according to an embodiment of the present application, applied to a second network element, includes:

[1160] The sixth sending module 2001 is configured to send a search request message to the fifth network element, where the search request message includes at least one of the following: area information corresponding to the target area, an indication of data collection capabilities supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device to be searched needs to support;

[1161] The sixth receiving module 2002 is configured to receive feedback information from the fifth network element, where the feedback information includes information of at least one third network element.

[1162] Optionally, the region granularity includes at least one of the following:

[1163] Latitude and longitude granularity;

[1164] Cell granularity.

[1165] The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[1166] Information indicating the AI ​​positioning methods that need to be supported;

[1167] Information indicating the AI ​​positioning inference method that needs to be supported;

[1168] Information indicating the type or granularity of input data that needs to be supported;

[1169] Information indicating the type or granularity of output data that needs to be supported;

[1170] Information indicating the positioning accuracy that needs to be supported;

[1171] Information about the second network element;

[1172] Information about the location object;

[1173] Information indicating when AI positioning support is required;

[1174] Information indicating the area where AI positioning support is required;

[1175] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[1176] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[1177] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[1178] It should be noted that the device embodiment corresponds to the above method, and all implementation methods in the above method embodiment are applicable to the device embodiment and can achieve the same technical effects.

[1179] The information transmission device provided in the embodiment of the present application can implement the various processes implemented in the method embodiment of Figure 12 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[1180] An embodiment of the present application further provides a communications device, the communications device being a second network element, including a processor and a communications interface, the communications interface being configured to send a search request message to a fifth network element, the search request message including at least one of the following: area information corresponding to a target area, an indication of a data collection capability supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range for supporting data collection, and capability information related to AI positioning that the communication device being searched needs to support;

[1181] The sixth receiving module is configured to receive feedback information from the fifth network element, where the feedback information includes information of at least one third network element.

[1182] Optionally, the region granularity includes at least one of the following:

[1183] Latitude and longitude granularity;

[1184] Cell granularity.

[1185] The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following:

[1186] Information indicating the AI ​​positioning methods that need to be supported;

[1187] Information indicating the AI ​​positioning inference method that needs to be supported;

[1188] Information indicating the type or granularity of input data that needs to be supported;

[1189] Information indicating the type or granularity of output data that needs to be supported;

[1190] Information indicating the positioning accuracy that needs to be supported;

[1191] Information about the second network element;

[1192] Information about the location object;

[1193] Information indicating when AI positioning support is required;

[1194] Information indicating the area where AI positioning support is required;

[1195] Information indicating the need for model training capabilities corresponding to the AI ​​positioning model;

[1196] Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and

[1197] Information indicating the need for model acquisition capabilities corresponding to the AI ​​positioning model.

[1198] Optionally, an embodiment of the present application further provides a network element, which is a second network element. The structure of the second network element can be seen in Figure 14 and is not described in detail here. The processor calls the instructions or program in the memory to execute the method executed by each module shown in Figure 20, and achieves the same technical effect. To avoid repetition, it is not described here.

[1199] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information transmission method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[1200] The readable storage medium may be non-volatile or non-transient. The readable storage medium may include a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[1201] Optionally, as shown in FIG21 , an embodiment of the present application further provides a communication device 2100, comprising a processor 2101 and a memory 2102. The memory 2102 stores a program or instruction that can be executed on the processor 2101. For example, when the communication device 2100 is a first network element, the program or instruction, when executed by the processor 2101, implements the above-mentioned information transmission method or each step of the information transmission method embodiment, and can achieve the same technical effect. When the communication device 2100 is a second network element, the program or instruction, when executed by the processor 2101, implements each step of the information transmission method embodiment, and can achieve the same technical effect. When the communication device 2100 is a third network element, the program or instruction, when executed by the processor 2101, implements each step of the information transmission method embodiment, and can achieve the same technical effect. When the communication device 2100 is a fifth network element, the program or instruction, when executed by the processor 2101, implements each step of the information transmission method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be described here.

[1202] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned information transmission method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[1203] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[1204] An embodiment of the present application further provides a computer program / program product, which is stored in a storage medium. The computer program / program product is executed by at least one processor to implement the various processes of the above-mentioned information transmission method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[1205] An embodiment of the present application also provides a communication system, including: a first network element, a second network element, a third network element and a fifth network element. The first network element can be used to execute the steps of the above-mentioned information transmission method, the second network element can be used to execute the steps of the above-mentioned information transmission processing method, the third network element can be used to execute the steps of the above-mentioned information transmission method, and the fifth network element can be used to execute the steps of the above-mentioned information transmission method.

[1206] An embodiment of the present application also provides a communication system, including: a fifth network element, a third network element and a second network element, wherein the fifth network element can be used to execute the steps of the above-mentioned information transmission method, the third network element can be used to execute the steps of the above-mentioned information transmission processing method, and the second network element can be used to execute the steps of the above-mentioned information transmission processing method.

[1207] An embodiment of the present application also provides a communication system, including: a first network element, a second network element and a third network element, wherein the first network element can be used to execute the steps of the above-mentioned information transmission method, the second network element can be used to execute the steps of the above-mentioned information transmission processing method, and the third network element can be used to execute the steps of the above-mentioned information transmission method.

[1208] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[1209] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of a computer software product plus a necessary general-purpose hardware platform, or of course, by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes a number of instructions for enabling a terminal or network-side device to execute the methods described in each embodiment of the present application.

[1210] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms of implementation methods without departing from the purpose of this application and the scope of protection of the claims. These implementation methods are all within the protection of this application.

Claims

1. A method for transmitting information, wherein: include: The first network element sends first information to the second network element, where the first information is used to request to obtain positioning-related data of a target area; The first network element receives second information from a third network element, where the second information includes positioning-related data of the target area.

2. The method according to claim 1, wherein: The first information includes at least one of the following: Area information corresponding to the target area; first indication information, wherein the first indication information is used to indicate passive data collection; second indication information, where the second indication information is used to indicate active data collection; Information indicating the area granularity corresponding to the target area; Data qualification information; third indication information, where the third indication information is used to instruct data collection based on the area information; The seventh indication information is used to indicate that data collection is used for model training.

3. The method according to claim 2, wherein: The region granularity includes at least one of the following: Longitude and latitude granularity; Cell granularity.

4. The method according to claim 2, wherein: The data definition information includes at least one of the following: Target data type, used to indicate the data type that the positioning-related data of the requested target area must satisfy; Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area; Target data source type, used to indicate the type of device that generates positioning-related data for the target area; The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

5. The method according to any one of claims 1 to 4, wherein: The first network element receives second information from a third network element, including: The first network element receives the second information from the third network element through the second network element and / or the fourth network element.

6. The method according to any one of claims 1 to 5, wherein: The first network element sending first information to the second network element includes: The first network element sends the first information to the second network element through the fourth network element.

7. The method according to any one of claims 1 to 6, wherein: The second information also includes at least one of the following: The data type corresponding to the positioning related data; time information corresponding to the positioning related data; A data source corresponding to the positioning related data; Area information corresponding to the positioning related data; Terminal identification information corresponding to the positioning related data; The access network node identification information corresponding to the positioning related data; The positioning related data corresponds to a generation method.

8. A method for transmitting information, wherein: include: The second network element receives first information from the first network element, where the first information is used to request to obtain positioning-related data of a target area; The second network element sends third information to a third network element based on the first information, where the third information is used to request to obtain positioning-related data of the target area.

9. The method according to claim 8, wherein: The first information or the third information includes at least one of the following: Area information corresponding to the target area; first indication information, wherein the first indication information is used to indicate passive data collection; second indication information, where the second indication information is used to indicate active data collection; The region granularity corresponding to the target region; Data qualification information; third indication information, where the third indication information is used to instruct data collection based on the area information; The seventh indication information is used to indicate that data collection is used for model training.

10. The method according to claim 9, wherein: The region granularity includes at least one of the following: Longitude and latitude granularity; Cell granularity.

11. The method according to claim 9, wherein: The data definition information includes at least one of the following: Target data type, used to indicate the data type that the positioning-related data of the requested target area must satisfy; Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area; Target data source type, used to indicate the type of device that generates positioning-related data for the target area; The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

12. The method according to any one of claims 8 to 11, wherein: Also includes: The second network element sends a search request message to the fifth network element; The second network element receives feedback information from the fifth network element, where the feedback information includes information of at least one third network element; The second network element determines, based on the feedback information, a third network element among the at least one third network element to receive the third information; The search request message includes at least one of the following: Area information corresponding to the target area; An indication of the ability to support data collection at a regional granularity; Capability information to support artificial intelligence (AI) positioning; Capabilities to support proactive data collection; Capabilities to support training data collection; The time frame for supporting data collection.

13. The method according to any one of claims 8 to 12, wherein: Also includes: The second network element receives second information from a third network element, where the second information includes positioning-related data of the target area; The second network element sends the second information to the first network element.

14. The method according to claim 13, wherein: The second network element sending the second information to the first network element includes: The second network element sends the second information to the first network element through the fourth network element.

15. The method according to any one of claims 8 to 14, wherein: The sending the third information to the third network element includes: The second network element determines that the third network element needs to actively collect data, and sends third information to the third network element, where the third information includes terminal identification information corresponding to the target area.

16. The method according to claim 15, wherein: Before sending the third information to the third network element, the method further includes: The second network element determines whether the third network element needs to actively collect data based on the first information.

17. The method according to any one of claims 8 to 14, wherein: Also includes: The second network element receives first request information from the third network element, where the first request information is used to request to obtain terminal identification information corresponding to the target area; The second network element determines, according to the first request information, terminal identification information corresponding to the target area; The second network element sends the terminal identification information to the third network element.

18. The method according to claim 17, wherein: The first request information includes at least one of the following: Area information corresponding to the target area; Fourth indication information, where the fourth indication information is used to indicate obtaining terminal identification information corresponding to the target area.

19. The method according to any one of claims 8 to 14, wherein: Also includes: The second network element receives second request information from the third network element, where the second request information is used to request to obtain cell information corresponding to the target area based on longitude and latitude granularity; The second network element determines, according to the second request information, cell information corresponding to the target area based on the longitude and latitude granularity; The second network element sends the cell information to a third network element.

20. The method according to claim 19, wherein: The second request information includes at least one of the following: Area information corresponding to the target area; The fifth indication information is used to indicate obtaining the cell information corresponding to the target area.

21. A method for transmitting information, wherein: include: The third network element receives third information from the second network element, where the third information is used to request acquisition of positioning-related data of the target area; The third network element sends second information to the second network element or the first network element according to the third information, where the second information includes the positioning-related data of the target area.

22. The method according to claim 21, wherein: The third information includes at least one of the following: Area information corresponding to the target area; first indication information, wherein the first indication information is used to indicate passive data collection; second indication information, where the second indication information is used to indicate active data collection; The region granularity corresponding to the target region; Data qualification information; third indication information, where the third indication information is used to instruct data collection based on the area information; The seventh indication information is used to indicate that data collection is used for model training.

23. The method according to claim 22, wherein: The region granularity includes at least one of the following: Longitude and latitude granularity; Cell granularity.

24. The method according to claim 22, wherein: The data definition information includes at least one of the following: Target data type, used to indicate the data type that the positioning-related data of the requested target area must satisfy; Target time information, used to indicate the time corresponding to the positioning-related data of the requested target area; Target data source type, used to indicate the type of device that generates positioning-related data for the target area; The target data generation mode is used to indicate the positioning method for generating positioning-related data corresponding to the target area.

25. The method according to any one of claims 21 to 24, wherein: The second information also includes at least one of the following: The data type corresponding to the positioning related data; time information corresponding to the positioning related data; A data source corresponding to the positioning related data; Area information corresponding to the positioning related data; Terminal identification information corresponding to the positioning related data; The access network node identification information corresponding to the positioning related data; The positioning related data corresponds to a generation method.

26. The method according to any one of claims 21 to 24, wherein: The third information includes terminal identification information corresponding to the target area.

27. The method according to any one of claims 21 to 24, wherein: Also includes: The third network element determines that active data collection is required, and sends first request information to the second network element, where the first request information is used to request to obtain terminal identification information corresponding to the target area; The third network element receives terminal identification information corresponding to the target area from the second network element.

28. The method according to claim 27, wherein: Also includes: The third network element determines whether active data collection is required according to the third information.

29. The method according to claim 27, wherein: The first request information includes at least one of the following: Area information corresponding to the target area; Fourth indication information, where the fourth indication information is used to indicate obtaining terminal identification information corresponding to the target area.

30. The method according to any one of claims 21 to 24, wherein: In a case where the area granularity corresponding to the target area includes a cell granularity, the method further includes: The third network element sends second request information to the second network element, where the second request information is used to request to obtain cell information corresponding to the target area based on longitude and latitude granularity; The third network element receives cell information corresponding to the target area based on the longitude and latitude granularity from the second network element.

31. The method according to claim 30, wherein: The second request information includes at least one of the following: Area information corresponding to the target area; The fifth indication information is used to indicate obtaining the cell information corresponding to the target area.

32. The method according to any one of claims 21 to 31, wherein: Also includes: A registration request message is sent to the fifth network element, wherein the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection at an area granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range to support data collection, and capability information related to AI positioning.

33. A method for transmitting information, wherein: include: The fifth network element receives a search request message from the second network element, where the search request message includes at least one of the following: area information corresponding to the target area, an indication of data collection capability supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range supporting data collection, and capability information related to AI positioning that the communication device to be searched needs to support; The fifth network element determines at least one third network element according to the search request message; The fifth network element sends feedback information to the second network element, where the feedback information includes information of at least one third network element.

34. The method of claim 33, wherein: The region granularity includes at least one of the following: Longitude and latitude granularity; Cell granularity.

35. The method of claim 33, wherein: The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following: Information indicating the AI ​​positioning methods that need to be supported; Information indicating the AI ​​positioning reasoning method that needs to be supported; Information indicating the type or granularity of input data that needs to be supported; Information indicating the type or granularity of output data that needs to be supported; Information indicating the positioning accuracy that needs to be supported; Information of the second network element; Information about the location object; Information indicating when AI positioning needs to be supported; Information indicating the area where AI positioning support is required; Information indicating that model training capabilities corresponding to the AI ​​positioning model are required; Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and Information indicating that the model acquisition capability corresponding to the AI ​​positioning model is required.

36. The method according to any one of claims 33 to 35, wherein: Also includes: The fifth network element receives a registration request message from at least one third network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

37. The method of claim 36, wherein: The AI ​​positioning-related capability information includes at least one of the following: The AI ​​positioning method supported by the third network element; The AI ​​positioning reasoning method supported by the third network element; The type or granularity of input data supported by the third network element; The type or granularity of output data supported by the third network element; The positioning accuracy supported by the third network element; Allowing the third network element to be requested for information about a device that performs AI positioning analysis; Information about the object of positioning that allows the use of AI positioning; Information about the time during which the third network element supports AI positioning; Information about the area in which the third network element supports AI positioning; Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model; Information indicating whether the third network element has a model reasoning capability corresponding to the AI ​​positioning model; and Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

38. A method for transmitting information, wherein: include: The fifth network element receives a registration request message from at least one third network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range to support data collection, and capability information related to AI positioning.

39. The method of claim 38, wherein: The region granularity includes at least one of the following: Longitude and latitude granularity; Cell granularity.

40. The method of claim 39, wherein: The AI ​​positioning-related capability information includes at least one of the following: The AI ​​positioning method supported by the third network element; The AI ​​positioning reasoning method supported by the third network element; The type or granularity of input data supported by the third network element; The type or granularity of output data supported by the third network element; The positioning accuracy supported by the third network element; Allowing the third network element to be requested for information about a device that performs AI positioning analysis; Information about the object of positioning that allows the use of AI positioning; Information about the time during which the third network element supports AI positioning; Information about the area in which the third network element supports AI positioning; Information indicating whether the third network element has a model training capability corresponding to the AI ​​positioning model; Information indicating whether the third network element has a model reasoning capability corresponding to the AI ​​positioning model; Information indicating whether the third network element has a model acquisition capability corresponding to the AI ​​positioning model.

41. The method according to any one of claims 38 to 40, wherein: Also includes: The fifth network element receives a search request message from the second network element, where the search request message includes at least one of the following: area information of a target area, an indication of a data collection capability supporting area granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range supporting data collection, and capability information related to AI positioning that the communication device to be searched needs to support; The fifth network element determines at least one third network element according to the search request message; The fifth network element sends feedback information to the second network element, where the feedback information includes information of the at least one third network element.

42. A method for transmitting information, wherein: include: The third network element sends a registration request message to the fifth network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range to support data collection, and capability information related to AI positioning.

43. The method of claim 42, wherein: The region granularity includes at least one of the following: Longitude and latitude granularity; Cell granularity.

44. The method of claim 42, wherein: The AI ​​positioning-related capability information includes at least one of the following: The AI ​​positioning method supported by the third network element; The AI ​​positioning reasoning method supported by the third network element; The type or granularity of input data supported by the third network element; The type or granularity of output data supported by the third network element; The positioning accuracy supported by the third network element; Allowing the third network element to be requested for information about a device that performs AI positioning analysis; Information about the object of positioning that allows the use of AI positioning; Information about the time when the third network element supports AI positioning; and The third network element supports information of the area where AI positioning is performed.

45. A method for transmitting information, wherein: include: The second network element sends a search request message to the fifth network element, wherein the search request message includes at least one of the following: area information corresponding to the target area, an indication of data collection capability supporting regional granularity, capability information supporting AI positioning, The ability to support active data collection, the ability to support training data collection, the time range for supporting data collection, and the ability information related to AI positioning that the communication equipment needs to support; The second network element receives feedback information from the fifth network element, where the feedback information includes information of at least one third network element.

46. ​​The method of claim 45, wherein: The region granularity includes at least one of the following: Longitude and latitude granularity; Cell granularity.

47. The method of claim 45, wherein: The AI ​​positioning-related capability information that the communication device needs to support includes at least one of the following: Information indicating the AI ​​positioning methods that need to be supported; Information indicating the AI ​​positioning reasoning method that needs to be supported; Information indicating the type or granularity of input data that needs to be supported; Information indicating the type or granularity of output data that needs to be supported; Information indicating the positioning accuracy that needs to be supported; Information of the second network element; Information indicating when AI positioning needs to be supported; Information indicating the area where AI positioning support is required; Information indicating that model training capabilities corresponding to the AI ​​positioning model are required; Information indicating the need for model reasoning capabilities corresponding to the AI ​​positioning model; and Information indicating that the model acquisition capability corresponding to the AI ​​positioning model is required.

48. An information transmission device, applied to a first network element, wherein: include: A first sending module, used for sending first information to the second network element, where the first information is used for requesting to obtain positioning related data of a target area; The first receiving module is used to receive second information from a third network element, where the second information includes positioning-related data of the target area.

49. A communication device, the communication device being a first network element, wherein: The method comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the information transmission method according to any one of claims 1 to 7 are implemented.

50. An information transmission device, applied to a second network element, wherein: include: A second receiving module, configured to receive first information from a first network element, wherein the first information is used to request to obtain positioning-related data of a target area; The second sending module is used to send third information to a third network element according to the first information, where the third information is used to request to obtain the positioning related data of the target area.

51. A communication device, the communication device being a second network element, wherein: It comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the information transmission method as described in any one of claims 8 to 20 are implemented.

52. An information transmission device, applied to a third network element, wherein: include: A third receiving module, used to receive third information from the second network element, where the third information is used to request to obtain positioning-related data of the target area; The third sending module is used to send second information to the second network element or the first network element according to the third information, where the second information includes the positioning related data of the target area.

53. A communication device, the communication device being a third network element, wherein: It includes a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the information transmission method as described in any one of claims 21 to 32 are implemented.

54. An information transmission device, applied to a fifth network element, wherein: include: a fourth receiving module, configured to receive a search request message from a second network element, wherein the search request message includes at least one of the following: area information corresponding to a target area, an indication of a data collection capability supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range supporting data collection, and capability information related to AI positioning that the communication device being searched needs to support; A first determining module, configured to determine at least one third network element according to the search request message; The fourth sending module is used to send feedback information to the second network element, where the feedback information includes information of at least one third network element.

55. A communication device, the communication device being a fifth network element, wherein: It includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the information transmission method as described in any one of claims 33 to 37 are implemented.

56. An information transmission device, applied to a fifth network element, wherein: include: The fifth receiving module is used to receive a registration request message from at least one third network element, wherein the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

57. A communication device, the communication device being a second network element, wherein: It includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the information transmission method as described in any one of claims 38 to 41 are implemented.

58. An information transmission device, applied to a third network element, wherein: include: The fifth sending module is used to send a registration request message to the fifth network element, and the registration request message includes at least one of the following: an indication of the ability of the third network element to support data collection with regional granularity, capability information to support AI positioning, capability to support active data collection, capability to support training data collection, time range for supporting data collection, and capability information related to AI positioning.

59. A communication device, the communication device being a third network element, wherein: It includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the information transmission method as described in any one of claims 42 to 44 are implemented.

60. An information transmission device, applied to a second network element, wherein: include: a sixth sending module, configured to send a search request message to the fifth network element, wherein the search request message includes at least one of the following: area information corresponding to the target area, an indication of data collection capability supporting regional granularity, capability information supporting AI positioning, capability supporting active data collection, capability supporting training data collection, a time range supporting data collection, and capability information related to AI positioning that the communication device to be searched needs to support; The sixth receiving module is used to receive feedback information from the fifth network element, where the feedback information includes information of at least one third network element.

61. A communication device, the communication device being a second network element, wherein: It includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the information transmission method as described in any one of claims 45 to 47 are implemented.

62. A readable storage medium, wherein: The readable storage medium stores programs or instructions, and when the programs or instructions are executed by the processor, the steps of the information transmission method as described in any one of claims 1-47 are implemented.

63. A computer program product, wherein: The method comprises computer instructions which, when executed by a processor, implement the steps of the method as claimed in any one of claims 1 to 47.

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