WO2023236979A1

WO2023236979A1 - Positioning model selection method, terminal, and network side device

Info

Publication number: WO2023236979A1
Application number: PCT/CN2023/098794
Authority: WO
Inventors: 贾承璐; 杨昂; 孙鹏
Original assignee: 维沃移动通信有限公司
Priority date: 2022-06-10
Filing date: 2023-06-07
Publication date: 2023-12-14
Also published as: CN117255403A

Abstract

The present application relates to the field of wireless communication, and discloses a positioning model selection method, a terminal, and a network side device. The positioning model selection method provided by embodiments of the present application comprises: a terminal acquires first information; and according to the first information, the terminal selects, from a plurality of positioning models deployed at the terminal, a target positioning model for performing positioning.

Description

Positioning model selection method, terminal and network side equipment

cross reference

This invention requires the priority of a Chinese patent application submitted to the China Patent Office on June 10, 2022, with the application number 202210654665.9 and the invention name "Positioning model selection method, terminal and network side equipment". The entire content of the application is approved This reference is incorporated herein by reference.

Technical field

The present application belongs to the field of wireless communication technology, and specifically relates to a positioning model selection method, terminals and network side equipment.

Background technique

In related technologies, a variety of positioning methods have been proposed, such as network-assisted Global Navigation Satellite System (GNSS) positioning method, Observed Time Difference of Arrival (OTDOA) positioning method, and cell ID (Cell ID) Positioning method, pressure sensor positioning method, etc. In addition, with the development of artificial intelligence (AI) technology, AI-based positioning methods have also been proposed in related technologies, and AI-based positioning methods may use different AI models or different input parameters, etc., thus forming Multiple positioning methods.

In the related art, communication equipment generally uses a fixed positioning method. However, this positioning method may not be applicable to all scenarios or environments. Therefore, a new positioning solution is needed in the related art.

Contents of the invention

Embodiments of the present application provide a positioning model selection method, a terminal, and a network-side device, which can solve the problem that communication equipment can only use a fixed positioning method.

In a first aspect, a positioning model selection method is provided, including: a terminal obtains first information; and the terminal selects a target positioning model for performing positioning from a plurality of positioning models deployed by the terminal according to the first information. .

In a second aspect, a method for selecting a positioning model is provided, including: a network side device obtains second information; the network side device selects a target positioning model from multiple positioning models deployed by the terminal according to the second information; The network side device sends instruction information to the terminal, where the instruction information includes an identifier of the target positioning model, instructing the terminal to use the target positioning model to perform positioning.

In a third aspect, a positioning method is provided, including: a first communication device receiving indication information sent by a second communication device, wherein the indication information includes an identification of a target positioning model; Select the target positioning model corresponding to the identification among the positioning models to perform positioning calculation.

In a fourth aspect, a method for selecting a positioning model is provided, including: a network side device obtains third information; and the network side device selects from a plurality of positioning models deployed by the network side device based on the third information. Targeting model used to perform targeting.

In a fifth aspect, a method for selecting a positioning model is provided, including: obtaining fourth information with reference to a terminal; The test terminal selects a target positioning model for performing positioning from a plurality of positioning models deployed by the target communication device according to the fourth information.

In a sixth aspect, a positioning model selection device is provided, which is applied to a terminal and includes: a first acquisition module for acquiring first information; a first selection module for selecting a positioning model from the terminal according to the first information. Select the target positioning model used to perform positioning among multiple deployed positioning models.

In a seventh aspect, a positioning model selection device is provided, which is applied to a network side device and includes: a second acquisition module for acquiring second information; a second selection module for selecting a positioning model from a terminal according to the second information. Select a target positioning model from multiple deployed positioning models; a first sending module, configured to send instruction information to the terminal, where the instruction information includes an identification of the target positioning model, instructing the terminal to use the target The positioning model performs positioning.

In an eighth aspect, a positioning device is provided, including: a receiving module, configured to receive indication information sent by a second communication device, wherein the indication information includes an identification of a target positioning model; and a positioning model configured to receive the indication information from the first communication device. Select a target positioning model corresponding to the identification from multiple positioning models deployed on the device to perform positioning calculation.

In a ninth aspect, a positioning model selection device is provided, which is applied to a network side device and includes: a third acquisition module for acquiring third information; a third selection module for selecting a positioning model from the location based on the third information. Select a target positioning model for performing positioning among multiple positioning models deployed on the network side device.

In a tenth aspect, a positioning model selection device is provided, applied to a reference terminal, including: a fourth acquisition module, used to acquire fourth information; a fourth selection module, used to communicate from a target according to the fourth information. Select the target positioning model used to perform positioning among multiple positioning models deployed on the device.

In an eleventh aspect, a terminal is provided. The terminal includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. When the program or instructions are executed by the processor, the following is implemented: The steps of the method described in the first aspect, or the steps of implementing the method described in the third aspect.

In a twelfth aspect, a terminal is provided, including a processor and a communication interface, wherein the processor is used to implement the steps of the method described in the first aspect, or to implement the steps of the method described in the third aspect, The communication interface is used to communicate with external devices.

In a thirteenth aspect, a network side device is provided. The network side device includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. The program or instructions are used by the processor. When executed, the steps of the method described in the second aspect, or the steps of the method described in the third aspect, or the steps of the method described in the fourth aspect, or the method described in the fifth aspect are realized. A step of.

In a fourteenth aspect, a network side device is provided, including a processor and a communication interface, wherein the processor is used to implement the steps of the method described in the second aspect, or to implement the method described in the third aspect. Steps, or steps to implement the method described in the fourth aspect, or steps to implement the method described in the fifth aspect.

A fifteenth aspect provides a positioning model selection system, including: a terminal and a network side device. The terminal can be used to perform the steps of the method described in the first aspect, or implement the method described in the third aspect. The network side device may be used to perform the steps of the method described in the second aspect, or implement the steps of the method described in the third aspect, or implement the steps of the method described in the fourth aspect, or implement The steps of the method as described in the fifth aspect.

In a sixteenth aspect, a readable storage medium is provided. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented, or the steps of the method are implemented. The steps of the method described in the second aspect, or the steps of implementing the method described in the third aspect, or the steps of the method described in the fourth aspect, or the steps of the method described in the fifth aspect.

In a seventeenth aspect, a chip is provided. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the method described in the first aspect. The steps of the method, or the steps of the method described in the second aspect, or the steps of the method described in the third aspect, or the steps of the method described in the fourth aspect, or the steps of the method described in the fifth aspect steps of the method described.

In an eighteenth aspect, a computer program/program product is provided, the computer program/program product is stored in a storage medium, and the computer program/program product is executed by at least one processor to implement as described in the first aspect The steps of the method, or the steps of the method described in the second aspect, or the steps of the method described in the third aspect, or the steps of the method described in the fourth aspect, or the fifth aspect steps of the method.

In the embodiment of the present application, the terminal can deploy multiple positioning models, each positioning model corresponds to a positioning method, and the terminal can select a target positioning model for performing positioning from multiple positioning models based on the first information, so that The terminal can perform positioning using multiple positioning models.

Description of the drawings

Figure 1 shows a block diagram of a wireless communication system to which embodiments of the present application are applicable;

Figure 2 shows a schematic flow chart of the positioning model selection method in the embodiment of the present application;

Figure 3 shows another schematic flow chart of the positioning model selection method in the embodiment of the present application;

Figure 4 shows another schematic flowchart of the positioning model selection method in the embodiment of the present application;

Figure 5 shows another schematic flow chart of the positioning model selection method in the embodiment of the present application;

Figure 6 shows a schematic flow chart of the positioning method in the embodiment of the present application;

Figure 7 shows a schematic structural diagram of the positioning model selection device in the embodiment of the present application;

Figure 8 shows another structural schematic diagram of the positioning model selection device in the embodiment of the present application;

Figure 9 shows a schematic structural diagram of the positioning device in the embodiment of the present application;

Figure 10 shows another structural schematic diagram of the positioning model selection device in the embodiment of the present application;

Figure 11 shows another structural schematic diagram of the positioning model selection device in the embodiment of the present application;

Figure 12 shows a schematic structural diagram of a communication device provided by an embodiment of the present application;

Figure 13 shows a schematic diagram of the hardware structure of a terminal provided by an embodiment of the present application;

Figure 14 shows a schematic diagram of the hardware structure of a network-side device provided by an embodiment of the present application;

Figure 15 shows a schematic hardware structure diagram of another network-side device provided by an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below with reference to the accompanying drawings in the embodiments of the present application. However, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in sequences other than those illustrated or described herein, and that "first" and "second" are distinguished objects It is usually one type, and the number of objects is not limited. For example, the first object can be one or multiple. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

It is worth pointing out that the technology described in the embodiments of this application is not limited to Long Term Evolution (LTE)/LTE Evolution (LTE-Advanced, LTE-A) systems, and can also be used in other wireless communication systems, such as code 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) and other systems. The terms "system" and "network" in the embodiments of this application are often used interchangeably, and the described technology can be used not only for the above-mentioned systems and radio technologies, but also for other systems and radio technologies. The following description describes a New Radio (NR) system for example purposes, and NR terminology is used in much of the following description, but these techniques can also be applied to applications other than NR system applications, such as 6th ^generation Generation, 6G) communication system.

Figure 1 shows a block diagram of a wireless communication system to which embodiments of the present application are applicable. 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), or a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a palmtop computer, a netbook, or a super mobile personal computer. (ultra-mobile personal computer, UMPC), mobile Internet device (Mobile Internet Device, MID), augmented reality (AR)/virtual reality (VR) equipment, robots, wearable devices (Wearable Device) , Vehicle User Equipment (VUE), Pedestrian User Equipment (PUE), smart home (home equipment with wireless communication functions, such as refrigerators, TVs, washing machines or furniture, etc.), game consoles, personal computers (personal computer, PC), teller machine or self-service machine and 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) bracelets, smart anklets, etc.), smart wristbands, smart clothing, etc. It should be noted that the embodiment of the present application does not limit the specific type of the terminal 11. The network side device 12 may include an access network device and/or a core network device, where the access network device 12 may also be called a radio access network device, a radio access network (Radio Access Network, RAN), or a radio access network. function or radio access network unit. The access network device 12 may include a base station, a Wireless Local Area Network (Wireless Local Area Network, WLAN) access point or a Wireless Fidelity (Wireless Fidelity, WiFi) node, etc. The base station may be called a Node B, an Evolved Node B (Evolved NodeB, eNB), access point, Base Transceiver Station (BTS), radio base station, radio transceiver, Basic Service Set (BSS), Extended Service Set (Extended Service Set, ESS), home B-node, home evolved B-node, transmitting receiving point (Transmitting Receiving Point, TRP) or some other appropriate term in the field, as long as the same technical effect is achieved, the base station Without being limited to specific technical terms, it should be noted that in the embodiment of this 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. Core network equipment may include but is not limited to at least one of the following: core network nodes, core network functions, mobility management entities (Mobility Management Entity, MME), access mobility management functions (Access and Mobility Management Function, AMF), session management functions (Session Management Function, SMF), User Plane Function (UPF), Policy Control Function (PCF), Policy and Charging Rules Function (PCRF), Edge Application Service Discovery function (Edge Application Server Discovery Function, EASDF), Unified Data Management (UDM), Unified Data Repository (UDR), Home Subscriber Server (HSS), centralized network configuration ( Centralized network configuration (CNC), Network Repository Function (NRF), Network Exposure Function (NEF), Local NEF (Local NEF, or L-NEF), Binding Support Function (Binding Support Function, BSF), application function (Application Function, AF), etc. It should be noted that in the embodiment of this application, only the core network equipment in the NR system is used as an example for introduction, and the specific type of the core network equipment is not limited.

The positioning model selection scheme provided by the embodiments of the present application will be described in detail below through some embodiments and application scenarios in conjunction with the accompanying drawings.

After applying AI technology to positioning methods, simulation verification has proven that in various scenarios, AI-based positioning methods have certain performance improvements compared to traditional positioning methods, especially for Non-Line of Sight (Non Line Of Sight) , NLOS) scenario, AI positioning has significant performance gains. However, limited by the "exclusiveness" of the AI model, generalization ability may be a major shortcoming. For example, the AI model can only process fixed-length input and obtain fixed-length output. For another example, an AI model trained in scenario A may experience significant performance degradation when applied in scenario B. Therefore, the positioning model of future wireless networks may coexist with AI-based positioning and non-AI-based positioning models. One way is to choose the positioning model, such as which AI model to choose among the AI-based positioning methods, or to choose a non-AI-based positioning model. Which positioning method among AI positioning methods?

In the embodiment of this application, non-AI based positioning methods include but are not limited to:

Network-assisted GNSS positioning;

OTDOA positioning;

Cell ID positioning;

Air pressure sensor positioning;

Wireless Local Area Network (WLAN) positioning;

Terrestrial Beacon System (TBS) positioning;

motion sensor positioning;

MultipleRound Trip Time (Multi-RTT) positioning;

Downlink angle of departure (DL AOD) positioning;

Downlink Time Difference of Arrival (DL-TDOA) positioning;

Uplink Time Difference of Arrival (DL-TDOA) positioning;

Uplink Angle of Arrival (UL-AOA) positioning.

AI-based positioning methods can be divided into different positioning methods according to different standards. For example, according to the input and output of the model, they can include but are not limited to the following positioning solutions:

The input is the channel impulse response (Channel Impulse Response, CIR), and the output is the position;

The input is CIR and the output is TOA;

The input is multipath angle information, and the output is position;

The input is multipath delay information, and the output is position;

The input is multipath angle information, and the output is TOA;

The input is multipath delay information, and the output is TOA.

Another example is divided according to AI models, for example:

Different AI models are responsible for different areas, including cells, regions, etc. (AI model ID is associated with cell ID/region ID);

Different AI models are responsible for different channel characteristics. Channel characteristics include: characteristics in the time domain, frequency domain, spatial domain, and delay Doppler domain (AI model ID is associated with channel characteristics);

Different AI models are responsible for different signal characteristics. Signal characteristics include: RSRP, RSRQ, SINR (AI model ID is associated with signal characteristics);

Different AI models are responsible for different sensor data (AI model ID is associated with sensor ID). Sensors include:

vision sensor;

infrared sensor;

laser sensor;

position sensor;

radar sensor;

air pressure sensor;

Motion sensor.

In this embodiment of the present application, multiple positioning models are deployed on communication devices (including but not limited to terminals or network-side devices). One positioning model corresponds to one positioning method, that is, one positioning model is used to perform positioning according to one positioning method. Different positioning models implement different positioning methods. In this embodiment of the present application, a positioning model performing a positioning method may be a non-AI-based positioning method (in this case, the positioning model may be called a non-AI-based positioning model), or it may be an AI-based positioning method ( In this case, the positioning model can be called an AI-based positioning model).

In this embodiment of the present application, multiple positioning models can be deployed on the terminal. In this case, the terminal can select a target positioning model for performing positioning from multiple positioning models, or the network side device can select from multiple positioning models. The target positioning model used to perform positioning is selected from the positioning model and then notified to the terminal. Alternatively, the reference terminal can select a target positioning model used to perform positioning from multiple positioning models and then notify the terminal. Alternatively, the reference terminal can also use the network side to select the target positioning model used to perform positioning. Equipment pass Know the terminal.

Alternatively, multiple positioning models can also be deployed on the network side device. In this case, the network side device can select a target positioning model for performing positioning from multiple positioning models, or the reference terminal can also select from multiple positioning models. After selecting the target positioning model used to perform positioning among the positioning models, the network side device is notified.

In this embodiment of the present application, the above-mentioned network side devices include but are not limited to:

a) Core network nodes, including network data analysis function (Network Data Analytics Function, NWDAF) or local management function (Location Management Function, LMF), etc., or neural network processing nodes;

b) Access network nodes, including base stations or newly defined neural network processing nodes;

c) A combination of multiple nodes above.

In this embodiment of the present application, the above-mentioned reference terminal includes a communication device used for measuring channel state information and measuring accurate location information in a network system. For example, the reference terminal includes but is not limited to:

a) Positioning Reference User (PRU);

b) Positioning Reference Unit (PRU);

c) Transmission-Reception Point (TRP).

Each technical solution provided by the embodiment of the present application will be described below.

FIG. 2 shows a schematic flowchart of a positioning model selection method in an embodiment of the present application. The method 200 can be executed by a terminal. In other words, the method may be performed by software or hardware installed on the terminal. As shown in Figure 2, the method may include the following steps.

S210: The terminal obtains the first information.

In a possible implementation of the embodiment of this application, the first information may include at least one of the following:

(1) Multipath information of the terminal channel; for example, the terminal obtains the multipath information of the channel by measuring the positioning reference signal sent by the network side device. The terminal can learn whether the environment of the terminal has changed based on the multipath information. If it is determined that the environment has changed, the terminal selects a positioning model corresponding to the current environment as the target positioning model. For example, different AI positioning models can be deployed to be responsible for positioning calculations under different channel characteristics. Based on the multipath information, the terminal selects the AI positioning model corresponding to the current channel characteristics as the target positioning model, thereby improving positioning accuracy and reducing the need for positioning. time delay.

(2) Scene information; through scene information, the terminal can determine changes in the current scene and select a positioning model that matches the current scene to improve positioning accuracy. For example, different positioning models can be deployed for different scenarios. If it is determined through scene information that the currently used positioning model is not suitable for the current scene, a positioning model corresponding to the current scene can be selected to improve positioning accuracy.

(3) The location information of the terminal; through the location information of the terminal, a positioning model that matches the current location information of the terminal can be selected. For example, different positioning models can configure their applicable areas when deployed. For example, the positioning model is trained according to different areas. If the terminal moves and the moved area is not the area where the currently used positioning model is applicable, you can Select the positioning model applicable to the moved area as the target positioning model, and perform positioning calculations.

(4) Changes in the multipath information of the terminal within a predetermined time period; through changes in the multipath information of the terminal during the predetermined time period, the environmental changes of the terminal can be known, so that a positioning that matches the environmental changes can be selected Model. For example, different AI positioning models can be deployed to be responsible for positioning calculations under different channel characteristics. Through the changes in the terminal's multipath information within a predetermined time, the changes in the channel characteristics of the terminal can be learned, thereby selecting a positioning corresponding to the channel characteristics. Model.

(5) Reference the multipath information of the terminal; by referring to the multipath information of the terminal, the terminal can sense whether the environment on the corresponding network side has changed, for example, the buildings around the network side have changed, or the corresponding area on the network side has changed. etc., so that the corresponding positioning model can be selected. For example, the multipath delay expansion measured by the reference terminal at time T is a. At time T+N, it is found that the multipath delay expansion changes from a to b. Based on this information, the terminal can choose to expand the multipath delay. Change-insensitive target localization model.

(6) Motion state information of the reference terminal, for example, at least one of motion speed, motion direction, and motion acceleration; through the motion state information, the terminal can learn the dynamic state of the reference terminal, thereby determining the multipath of the reference terminal. The reason for the change in the information can then be determined whether to switch the positioning model of the terminal. For example, the multipath delay expansion measured by the reference terminal at time T is a. At time T+N, it is found that the multipath delay expansion changes from a to b. At the same time, the motion state of the reference terminal is stationary (i.e., the movement speed is 0), then the terminal can determine that the change in the multipath delay spread of the reference terminal is due to changes in the environment on the network side, and then it can select a target positioning model that is insensitive to changes in multipath delay spread. If the motion speed of the reference terminal in the dynamic state is not zero, the terminal can determine that the change in the multipath delay spread of the reference terminal is due to the movement of the reference terminal, and does not need to switch the positioning model.

(7) Refer to the identification of the terminal; for example, the terminal can deploy different AI positioning models to be responsible for different areas. By referring to the identification of the terminal, the terminal can determine the cell or area where it is located, and select the AI positioning model corresponding to the cell or area. .

(8) Refer to the location information of the terminal; for example, the terminal can deploy different AI positioning models to be responsible for different areas. By referring to the location information of the terminal, the terminal can determine the cell or area where it is located, and select the AI corresponding to the cell or area where it is located. Positioning model.

(9) Changes in the multipath information of the reference terminal within a predetermined time period. By referring to the changes in the terminal's multipath information within a predetermined time period, the terminal can determine the environmental change trend on the network side, and thereby select a positioning model adapted to the change trend, for example, by referring to the terminal's multipath information within a predetermined time period. If the change in information indicates that the multipath angle expansion of the reference terminal has been changing, the terminal can select a target positioning model that is insensitive to changes in multipath angle expansion.

In another possible implementation, the first information may also include information obtained by processing at least one of the above. For example, the above multipath information may be filtered to remove paths with energy less than N; for example, transformation processing may be performed. , transform the coordinate system of the position information, transform the relative position into an absolute position, or transform the absolute position into a relative position, etc.

Optionally, the multipath information of the above terminal or the multipath information of the reference terminal includes but is not limited to at least one of the following:

(1) First path delay;

(2) First path energy;

(3) First diameter arrival angle;

(4)The departure angle of the nose diameter;

(5) The delay of the maximum N path, where N can be an integer greater than or equal to 1;

(6) Energy of maximum N diameter;

(7) The arrival angle of the maximum N diameter;

(8) Maximum N diameter departure angle;

(9) Number of multipaths;

(10) Multipath delay expansion;

(11) Multipath angle expansion;

(12)Line Of Sight (LOS);

(13)Non-line-of-sight (NLOS).

Through the above implementation, the terminal can select a positioning model that matches the channel characteristics of different terminals or the channel characteristics of the reference terminal. For example, for one or more of the above, different AI positioning models can be deployed to be responsible for positioning calculations of channel characteristics that are different from one or more of the above, and the terminal can select the corresponding one or more according to the current value of the above one or more. AI positioning model.

Optionally, the above scene information may include at least one of the following:

(1) Number of TRPs; for example, multiple TRPs can be used for joint positioning, and AI positioning models for different numbers of TRPs are scheduled to be deployed. Based on the current number of TRPs, the terminal can select an AI positioning model that matches the current number of TRPs. For example, AI positioning model A corresponds to 4 TRPs, AI positioning model B corresponds to 6 TRPs, the input dimension of AI positioning model A is 4, and the input dimension of AI positioning model B is 6. If the original positioning model used by the terminal is AI Positioning model A, and the current number of TRPs is B, the originally used positioning model does not match the current scene of the terminal. The terminal can select the positioning model that matches the current scene, that is, AI positioning model B for positioning calculation.

(2) The geographical distribution of TRP, for example, the location of TRP. Through the geographical distribution of TRP, the terminal can select a positioning model that matches the current geographical distribution of TRP. For example, the terminal deploys different AI models to be responsible for positioning calculations in different areas. Different The area is identified by the geographical distribution of TRP, then the terminal can select the positioning model corresponding to the current geographical distribution of TRP to perform positioning calculation to match the current geographical distribution of TRP;

(3) Reference signal configuration of TRP, for example, Positioning Reference Signal (PRS) configuration of TRP; different positioning models can be deployed for terminals to measure different reference signals, for example, using the measurement values of different reference signals to Different positioning models are trained. The terminal can select the positioning model corresponding to the reference signal corresponding to the configuration to perform positioning calculation according to the reference signal configuration of the TRP, so that the selected positioning model matches the current reference signal configuration of the TRP. In addition, the terminal can also deploy a positioning model that uses different reference signals as inputs to the model. The terminal can choose to input a positioning model corresponding to the reference signal configured by the reference signal of the TRP to perform positioning calculations to improve positioning accuracy.

(4) Map information of the scene, such as the distribution of buildings, obstructions, etc. map letter through scene information, the terminal can select a positioning model that matches the map information of the current scene. For example, different positioning models can be deployed for the map information of factory a and factory b respectively. If the map information corresponding to the positioning model originally used by the terminal does not match the current actual map information, for example, the terminal moves from factory a to factory b, Then you can select a positioning model that matches the current actual map information to perform positioning calculations.

In a possible implementation, S210 may include at least one of the following:

1) Obtain the first information sent by the network side device. That is to say, the first information may be sent by the network side device to the terminal.

2) Obtain the first information sent by the reference terminal. That is to say, the first information may be sent by the reference terminal to the terminal.

3) Obtain the first information according to the agreement. For example, depending on what information is specified in the protocol for the terminal to select a positioning model, the terminal can obtain the corresponding first information according to the protocol. Optionally, the protocol can also set neither the network nor the terminal to perform positioning model selection by default.

4) Obtain the first information by measuring the reference signal. That is, the terminal obtains the first information by measuring the reference signal.

Among them, the reference signal includes but is not limited to at least one of the following: CSI Reference Signal (CSI-RS), Sounding Reference Signal (Sounding Reference Signal, SRS), Synchronization Signal Block (Synchronization Signal Block, SSB), and PRS.

For example, for downlink positioning, the base station can send a downlink positioning reference signal (DL-PRS), the terminal measures the channel, and selects a positioning model based on the measured multipath information; in addition, some information cannot be obtained by the terminal, such as the real location and scene Information, which can be sent to the terminal by the reference terminal (reference UE) or the network side device.

In a possible implementation, the first information includes at least one of the following:

(1) Measurement information at the first time; for example, measurement information at time T, where time T can be the current time or a certain time in the past.

(2) Measurement information within the first time period. For example, historical measurement information from time (T-N) to time T. Among them, N can be an integer greater than 0.

In this embodiment of the present application, the unit of the above time includes but is not limited to one of the following: reference signal period, prediction period, time slot, half time slot, symbol (OFDM symbol), subframe, radio frame, millisecond, second, etc.

S212: The terminal selects a target positioning model for performing positioning from multiple positioning models deployed by the terminal according to the first information.

For example, scenario A has high-precision positioning requirements; multiple positioning models are deployed on terminals in scenario A; there is a reference terminal in scenario A, and the reference terminal is in a stationary state; the multipath delay measured by the reference terminal at time T is expanded to a, at At T+N time, it is found that the multipath delay expansion changes from a to b, and it is found that the accuracy of the positioning model decreases. The reference terminal sends at least one of the position information p and delay extensions a and b at time T and time T+N, as well as the status and changes of other multipath information, the ID of the PRU, and the motion status of the reference terminal to The terminal performs positioning model selection in the positioning model pool and selects a target positioning model that is insensitive to changes in multipath delay expansion.

Through the above positioning model selection method provided by the embodiments of the present application, in order to meet the differentiated positioning capabilities of the terminal, Positioning scenarios and positioning accuracy requirements, as well as taking into account the scenario-specific characteristics of AI-based positioning, the terminal can deploy a variety of AI/non-AI based positioning models. When performing specific positioning tasks, further refer to some ( In addition to user quality of service (QoS) requirements and the positioning capabilities of UE, RAN and LMF), more refined model selection is carried out based on the characteristics of channel state information and scene characteristics, so that the terminal can select an appropriate positioning model for positioning. , improve positioning accuracy and latency.

FIG. 3 shows another schematic flowchart of the positioning model selection method in this embodiment of the present application. The method 300 can be executed by a network-side device. In other words, the method may be executed by software or hardware installed on the network side device. The difference between this method and method 200 is that in method 300, the network side device selects a target positioning model from multiple positioning models deployed by the terminal and indicates it to the terminal. As shown in Figure 3, the method may include the following steps.

S310: The network side device obtains the second information.

In a possible implementation of the embodiment of this application, the second information may include at least one of the following:

(1) Multipath information of the channel; for example, the multipath information may include multipath information of the channel measured by the base station. For example, for uplink positioning, the UE sends an SRS, and the base station measures the multipath information of the channel obtained by measuring the SRS. Alternatively, the multipath information may also include multipath information of the channel measured by the terminal. For example, for downlink positioning, the base station may send a downlink positioning reference signal (DL-PRS). The terminal measures the DL-PRS and obtains the result and sends it to the base station. Report channel multipath information.

(2) Scene information;

(3) Location information of the terminal;

(4) Changes in the multipath information of the terminal within a predetermined time period;

(5) Reference terminal multipath information;

(6) Reference terminal location information;

(7) Refer to the terminal’s motion status information;

(8) Reference terminal identification;

(9) Changes in the multipath information of the reference terminal within a predetermined time period.

Among them, the above (2) to (9) are similar to (2) to (9) in the method 200, and will not be described again here.

In another possible implementation, the second information may also include information obtained by processing at least one of the above. For example, the above multipath information may be filtered to remove paths with energy less than N; for example, transformation processing may be performed. , transform the coordinate system of the position information, transform the relative position into an absolute position, or transform the absolute position into a relative position, etc.

Optionally, the above-mentioned multipath information includes but is not limited to at least one of the following:

(1) First path delay;

(2) First path energy;

(3) First diameter arrival angle;

(4)The departure angle of the nose diameter;

(5) The delay of the maximum N diameter, where N is an integer greater than 0;

(6) Energy of maximum N diameter;

(7) The arrival angle of the maximum N diameter;

(8) Maximum N diameter departure angle;

(9) Number of multipaths;

(10) Multipath delay expansion;

(11) Multipath angle expansion;

(12)LOS;

(13)NLOS.

Optionally, the above scene information includes at least one of the following:

(1) TRP quantity;

(2) The geographical distribution of TRPs, for example, the location of TRPs;

(3) TRP reference signal configuration, for example, TRP positioning reference signal (Positioning Reference Signal, PRS) configuration;

(4) Map information of the scene, such as the distribution of buildings, obstructions, etc.

In a possible implementation, the network side device obtains second information, including at least one of the following:

1) The network-side device obtains the second information reported by the terminal; that is, the second information can be reported by the terminal to the network.

2) The network side device obtains the second information reported by the reference terminal; that is, the second information can be reported to the network by the reference terminal.

3) The network side device reads the scene information from the scene configuration information, for example, the location of the TRP (which can be used as a PRU), etc.;

4) The network side device measures the reference signal to obtain the second information. That is to say, the second information may be obtained by the network side by measuring the reference signal.

For example, for downlink positioning, the base station can send a downlink positioning reference signal (DL-PRS), and the terminal measures the channel and reports the measured multipath information to the base station. The base station selects a target positioning model based on the reported multipath information; for uplink positioning, the UE When sending SRS, the base station measures the multipath information of the channel and selects a target positioning model based on this information; in addition, certain information, such as real location and scene information, can also be sent to the terminal by the reference terminal (reference UE).

In a possible implementation, the second information includes at least one of the following:

(2) Measurement information within the first time period. For example, historical measurement information from time (TN) to time T. Among them, N can be an integer greater than 0.

S312: The network side device selects a target positioning model from multiple positioning models deployed by the terminal according to the second information.

For example, scenario A has high-precision positioning requirements, and multiple positioning models are deployed on terminals in scenario A; there is a reference terminal in scenario A, and the reference terminal is in a stationary state; the multipath delay measured by the reference terminal at time T is expanded to a, at At T+N time, it is found that the multipath delay expansion changes from a to b, and it is found that the accuracy of the positioning model decreases. The reference terminal sends the position information p and delay extensions a and b at time T and time T+N, as well as the status and changes of other multipath information, the ID of the PRU, and the motion status of the reference terminal to the network side. The network side Select a target positioning model in the positioning model pool, and select a target positioning model that is insensitive to changes in multipath delay expansion.

In this embodiment of the present application, the positioning model of the terminal can be deployed in advance by the network side device. Therefore, the network side device can select a target positioning model for the terminal.

S314: The network side device sends instruction information to the terminal, where the instruction information includes an identifier of the target positioning model, instructing the terminal to use the target positioning model to perform positioning.

For example, the network side device may send the identification (ID) of the target positioning model to the terminal.

In a possible implementation, the network side device can also define the effective time of the selected target positioning model. Therefore, the instruction information can also include time information, and the time information is used to indicate that the target positioning model is selected at the first time. It takes effect after the first time, that is to say, the terminal uses the target positioning model to perform positioning calculation after the first time. This time information is used to indicate that the network side device expects the terminal to use the indicated target positioning model to perform positioning calculation after the first time.

Through the above methods provided by the embodiments of this application, in order to meet the differentiated positioning capabilities, positioning scenarios and positioning accuracy requirements of the terminal, as well as taking into account the scenario-specific characteristics of AI-based positioning, the network side device deploys a variety of based on the terminal. Select the target positioning model among AI/non-AI positioning models and indicate it to the terminal. Among them, the network side equipment can perform more refined positioning model selection based on the characteristics of the channel state information and scene characteristics in addition to user QoS requirements, UE, RAN and LMF positioning capabilities, so that the terminal can use an appropriate model for positioning.

Figure 4 shows another schematic flowchart of a positioning model selection method in an embodiment of the present application. The method 400 can be executed by a network-side device. In other words, the method may be executed by software or hardware installed on the network side device. The difference between this method and method 200 is that in method 400, the network side device deploys multiple positioning models, and the network side device selects a target positioning model from the multiple deployed positioning models. As shown in Figure 4, the method may include the following steps.

S410: The network side device obtains the third information.

In a possible implementation, the third information includes at least one of the following or information obtained by processing at least one of the following:

(1) Multipath information of the channel; for example, the multipath information may include multipath information of the channel measured by the base station. For example, for uplink positioning, the UE sends an SRS, and the base station measures the multipath information of the channel obtained by measuring the SRS. Alternatively, the multipath information may also include multipath information of the channel measured by the terminal. For example, for downlink positioning, the base station may send a downlink positioning reference signal (DL-PRS). The terminal measures the DL-PRS and obtains the result and sends it to the base station. Report channel multipath information interest.

(2) Scene information;

(3) Reference terminal multipath information;

(4) Refer to the location information of the terminal;

(5) Reference terminal identification;

(6) Changes in the multipath information of the reference terminal within a predetermined time period.

In a possible implementation, the multipath information of the channel and/or the multipath information of the reference terminal may include at least one of the following:

(1) First path delay;

(2) First path energy;

(3) First diameter arrival angle;

(4)The departure angle of the nose diameter;

(5) The maximum N-path delay;

(6) Energy of maximum N diameter;

(7) The arrival angle of the maximum N diameter;

(8) Maximum N diameter departure angle;

(9) Number of multipaths;

(10) Multipath delay expansion;

(11) Multipath angle expansion;

(12) Line of sight LOS;

(13) Non-line-of-sight NLOS.

In a possible implementation, the scene information includes at least one of the following:

(1) TRP quantity;

(2) The geographical distribution of TRP;

In a possible implementation, the network side device obtains third information, including at least one of the following:

1) The network side device obtains the third information reported by the terminal; that is, the third information can be reported by the terminal to the network.

2) The network side device obtains the third information reported by the reference terminal; that is to say, the third information can be reported to the network by the reference terminal.

3) The network side device reads scene information from the scene configuration information, for example, the location of the TRP (which can be used as a PRU), etc.;

4) The network side device measures the reference signal to obtain the third information. In other words, the third information can Therefore, the network side obtains it by measuring the reference signal.

In a possible implementation, the third information includes at least one of the following:

S412: The network side device selects a target positioning model for performing positioning from a plurality of positioning models deployed by the network side device according to the third information.

For example, scenario A has high-precision positioning requirements. Multiple positioning models are deployed on network-side devices in scenario A. There is a reference terminal in scenario A, and the reference terminal is in a stationary state. At time T, the multipath delay measured by the reference terminal expands to a. At time T+N, it is found that the multipath delay expansion changes from a to b, and it is found that the accuracy of the positioning model decreases. The reference terminal sends the location information p and delay extensions a and b at time T and time T+N, as well as the status and changes of other multipath information, the ID of the PRU, and the motion status of the reference terminal to the network side device. The side device selects a target positioning model in the positioning model pool and selects a target positioning model that is insensitive to changes in multipath delay expansion.

Table 1 shows some simulation results. As shown in Table 1, changes in multipath delay expansion will significantly reduce the performance of the original positioning model. The network side device chooses whether to adjust the multipath delay expansion based on the information obtained from the reference terminal. Sensitive positioning model, positioning accuracy is significantly improved.

Through the technical solutions provided by the embodiments of this application, the terminal can interact with the network side with required information to achieve accurate positioning model selection, so that when the scene or environment around the terminal changes and the positioning accuracy of the original positioning model decreases, dynamically Adjust the positioning model used by the terminal to improve positioning accuracy and reduce latency.

Figure 5 shows another schematic flowchart of the positioning model selection method in the embodiment of the present application. The method 500 can be executed by a reference terminal. In other words, the method may be performed by software or hardware installed on the reference terminal. Should The difference between the method and the above method embodiment is that in method 500, the reference terminal selects a target positioning model from a plurality of positioning models deployed by the target communication device. As shown in Figure 5, the method may include the following steps.

S510, refer to the terminal to obtain the fourth information.

In a possible implementation of the embodiment of the present application, the fourth information includes at least one of the following or information obtained by processing at least one of the following:

(1) Scene information;

(2) Multipath information of the reference terminal;

(3) The location information of the reference terminal;

(4) Changes in the multipath information of the reference terminal within a predetermined time period.

Optionally, the scene information includes at least one of the following:

TRP quantity;

Geographical distribution of TRP;

TRP reference signal configuration;

Map information for the scene.

In a possible implementation, the reference terminal obtains fourth information, including at least one of the following:

(1) The reference terminal obtains the fourth information by measuring a reference signal; that is, the fourth information can be obtained by the reference terminal by measuring the reference signal.

(2) The reference terminal receives the fourth information sent by the network side device. That is to say, the fourth information may be sent by the network side device to the reference terminal.

For example, for downlink positioning, the base station can send a downlink positioning reference signal (DL-PRS), the terminal measures the channel and reports the measured multipath information to the base station, and the base station sends the multipath information reported by the terminal to the reference terminal; for uplink positioning, The UE sends SRS, and the base station measures the multipath information of the channel and sends the multipath information to the reference terminal; or, the reference terminal can perform channel measurement based on the positioning reference signal sent by the base station to obtain the multipath information. In addition, certain information, such as real location and scene information, can also be sent to the reference terminal by the network side device.

S512: The reference terminal selects a target positioning model for performing positioning from a plurality of positioning models deployed by the target communication device according to the fourth information.

For example, scenario A has high-precision positioning requirements, and multiple positioning models are deployed on terminals in scenario A; there is a reference terminal in scenario A, and the reference terminal is in a stationary state; the multipath delay measured by the reference terminal at time T is expanded to a, at At T+N time, it is found that the multipath delay expansion changes from a to b, and it is found that the accuracy of the positioning model decreases. The reference terminal obtains information from the network based on at least one of the position information p and delay expansion a and b at time T and time T+N, and the status and changes of other multipath information, the ID of the PRU, and the motion status of the reference terminal. Select a target positioning model from the positioning model pool deployed on the side device or terminal, and select a target positioning model that is insensitive to changes in multipath delay expansion.

In a possible implementation, after selecting a target positioning model for performing positioning from a plurality of positioning models deployed by the target communication device, the method further includes at least one of the following:

(1) When the target communication device is a network-side device, the reference terminal models the target positioning The type of identification is sent to the network side device;

(2) When the target communication device is a terminal, the reference terminal sends the identification of the target positioning model to the network side device, and instructs the network side device to send the identification of the target positioning model to the network side device. the terminal;

(3) When the target communication device is a terminal, the reference terminal sends the identification of the target positioning model to the terminal.

Through the above possible implementations, the reference terminal can dynamically select a target positioning model for the terminal and/or the network side device, so that the terminal and/or the network side device can deploy multiple positioning models to avoid the terminal and/or the network side device only The problem of using one positioning model can be fixed, and the use of terminals and/or network-side devices can be dynamically adjusted when the scene or environment around the terminal and/or network-side equipment changes and the positioning accuracy of the original positioning model decreases. positioning model to improve positioning accuracy.

Figure 6 shows a schematic flowchart of the positioning method in the embodiment of the present application. The method 600 can be executed by the first communication device. In other words, the method may be performed by software or hardware installed on the first communication device. As shown in Figure 6, the method may include the following steps.

S610. The first communication device receives the instruction information sent by the second communication device, where the instruction information includes the identification of the target positioning model.

In this embodiment of the present application, the first communication device may be a terminal. That is to say, the terminal may deploy multiple positioning models, and the second communication device selects a target positioning model from the multiple positioning models. The second communication device may be a network side device or a reference terminal, wherein the network side device may select the target positioning model in the manner described in the above method 300, and the reference terminal may select the target positioning model in the manner described in the above method 500. Target positioning model, for details, please refer to the description in the above method 300 or method 500.

In this embodiment of the present application, the first communication device may be a network-side device. That is to say, the network-side device may deploy multiple positioning models, and the second communication device selects a target positioning model from the multiple positioning models. The second communication device may be a reference terminal, wherein the reference terminal may select the target positioning model in the manner described in the above method 500. For details, please refer to the description in the above method 500.

In one aspect, before the first communication device receives the indication information sent by the second communication device, the method may further include: the first communication device reporting the second information to the second communication device. For example, the terminal may report the second information to the network side device. For the second information, please refer to the description in the above method 300, which will not be described again here.

S612: The first communication device selects a target positioning model corresponding to the identification from a plurality of deployed positioning models to perform positioning calculation.

In a possible implementation, the indication information may also include time information; then the first communication device selects a target positioning model corresponding to the identification from multiple deployed positioning models to perform positioning calculation, which may include:

The first communication device selects the target positioning model from the plurality of positioning models to perform positioning calculation after the time information indicates the first time.

In a possible implementation, the method further includes:

Within the first time indicated by the time information, the first communication device prohibits positioning calculations; or,

Within the first time indicated by the time information, the first communication device switches to other positioning models for positioning calculation, wherein the other positioning models are among the multiple positioning models except the target positioning model. External positioning model.

For example, the network side device can send the instruction information to the terminal according to the description in the above method 300. The instruction information carries time information to indicate the effective time of the target positioning model. After the terminal receives the instruction information, at this time Positioning calculation cannot be performed within the time indicated by the message. Or, within the time indicated by the time information, the terminal switches to other positioning models for positioning calculation. For example, the other positioning models may include non-artificial intelligence AI positioning models.

Through the above technical solutions provided by the embodiments of the present application, the first communication device can select a target positioning model from multiple deployed positioning models to perform positioning calculations according to the instructions of the second communication device, so that it can perform positioning calculations in the scene around the first communication device. When the positioning accuracy of the original positioning model of the first communication device decreases due to environmental changes, the positioning model used by the first communication device is dynamically adjusted to improve the positioning accuracy.

For the positioning model selection method provided by the embodiment of the present application, the execution subject may be a positioning model selection device. In the embodiment of the present application, the positioning model selection device performed by the positioning model selection method is used as an example to illustrate the positioning model selection device provided by the embodiment of the present application.

Figure 7 shows a schematic structural diagram of a positioning model selection device in an embodiment of the present application. The device 700 can be applied to a terminal. As shown in Figure 7, the device mainly includes: a first acquisition module 701 and a first selection module. 702.

In this embodiment of the present application, the first acquisition module 701 is used to acquire first information; the first selection module 702 is used to select from multiple positioning models deployed by the terminal for execution based on the first information. Targeting model for positioning.

In a possible implementation, the first information includes at least one of the following or information obtained by processing at least one of the following:

Multipath information of terminal channel;

scene information;

The location information of the terminal;

Changes in the multipath information of the terminal within a predetermined time period;

Reference terminal multipath information;

Refer to the terminal’s motion status information;

Reference terminal identification;

Reference terminal location information;

Changes in the multipath information of the reference terminal within a predetermined time period.

In a possible implementation, the multipath information includes at least one of the following:

First path delay;

First path energy;

Arrival angle of first path;

Departure angle of first diameter;

The maximum N-path delay, where N is an integer greater than 0;

The energy of the maximum N diameter;

The arrival angle of the maximum N diameter;

Departure angle of maximum N diameter;

number of multipaths;

Multipath delay expansion;

Multipath angle expansion;

Line of sight LOS;

Non-line-of-sight NLOS.

The number of TRPs at the sending and receiving points;

Geographical distribution of TRP;

TRP reference signal configuration;

Map information for the scene.

In a possible implementation, the motion status information includes at least one of the following: motion speed, motion direction, and motion acceleration.

In a possible implementation, the first acquisition module 701 acquires first information, including at least one of the following;

Obtain the first information sent by the network side device;

Obtain the first information sent by the reference terminal;

Obtain the first information according to the agreement;

The first information is obtained by measuring a reference signal.

In a possible implementation, the first information includes at least one of the following: measurement information at a first moment, measurement information within a first time period.

Figure 8 shows another schematic structural diagram of a positioning model selection device in an embodiment of the present application. The device 800 can be applied to network side equipment. As shown in Figure 8, the device mainly includes: a second acquisition module 801, The second selection module 802 and the first sending module 803.

In this embodiment of the present application, the second acquisition module 801 is used to acquire second information; the second selection module 802 is used to select a target positioning model from multiple positioning models deployed by the terminal according to the second information; A sending module 803, configured to send instruction information to the terminal, where the instruction information includes an identifier of the target positioning model, instructing the terminal to use the target positioning model to perform positioning.

In a possible implementation, the second information includes at least one of the following or information obtained by processing at least one of the following:

Multipath information of the channel;

scene information;

The location information of the terminal;

Reference terminal multipath information;

Reference terminal location information;

Refer to the terminal’s motion status information;

Reference terminal identification;

First path delay;

First path energy;

Arrival angle of first path;

Departure angle of first diameter;

The maximum N-path delay, where N is an integer greater than 0;

The energy of the maximum N diameter;

The arrival angle of the maximum N diameter;

Departure angle of maximum N diameter;

number of multipaths;

Multipath delay expansion;

Multipath angle expansion;

Line of sight LOS;

Non-line-of-sight NLOS.

TRP quantity;

Geographical distribution of TRP;

TRP reference signal configuration;

Map information for the scene.

In a possible implementation, the second acquisition module 801 acquires second information, including at least one of the following:

Obtain the second information reported by the terminal;

Obtain the second information reported by the reference terminal;

Read scene information from scene configuration information;

Measure the reference signal to obtain the second information.

In a possible implementation, the indication information also includes time information, and the time information is used to indicate that the target positioning model takes effect after a first time.

Figure 9 shows a schematic structural diagram of the positioning device in the embodiment of the present application. As shown in Figure 9, the device 900 mainly includes: a receiving module 901 and a positioning module 902.

In this embodiment of the present application, the receiving module 901 is used to receive the instruction information sent by the second communication device, where the The instruction information includes an identification of the target positioning model; the positioning model 902 is used to select a target positioning model corresponding to the identification from multiple positioning models deployed by the first communication device to perform positioning calculation.

In a possible implementation, as shown in Figure 9, the apparatus may further include: a second sending module 903, configured to report second information to the second communication device.

In a possible implementation, the indication information also includes time information;

The positioning module 902 selects a target positioning model corresponding to the identification from multiple deployed positioning models to perform positioning calculation, including:

After the time information indicates the first time, the target positioning model is selected from the plurality of positioning models to perform positioning calculation.

In a possible implementation, the positioning module 902 is also used to:

Positioning calculations are prohibited within the first time indicated by the time information; or,

Within the first time indicated by the time information, switch to other positioning models for positioning calculation, where the other positioning models are positioning models other than the target positioning model among the plurality of positioning models.

In a possible implementation, the other positioning models include non-artificial intelligence AI positioning models.

Figure 10 shows another structural schematic diagram of a positioning model selection device in an embodiment of the present application. The device 1000 can be applied to network side equipment. As shown in Figure 10, the device mainly includes: a third acquisition module 1001 and a third acquisition module 1001. Three selection modules 1002.

In this embodiment of the present application, the third acquisition module 1001 is used to acquire third information; the third selection module 1002 is used to select a user from multiple positioning models deployed by the network side device based on the third information. Target positioning model for performing positioning.

Multipath information of the channel;

scene information;

Reference terminal multipath information;

Reference terminal location information;

Reference terminal identification;

First path delay;

First path energy;

Arrival angle of first path;

Departure angle of first diameter;

The maximum N-path delay, where N is an integer greater than 0;

The energy of the maximum N diameter;

The arrival angle of the maximum N diameter;

Departure angle of maximum N diameter;

number of multipaths;

Multipath delay expansion;

Multipath angle expansion;

Line of sight LOS;

Non-line-of-sight NLOS.

TRP quantity;

Geographical distribution of TRP;

TRP reference signal configuration;

Map information for the scene.

In a possible implementation, the third acquisition module 1001 acquires third information, including at least one of the following:

Obtain the third information reported by the terminal;

Obtain the third information reported by the reference terminal;

Read scene information from scene configuration information;

Measure the reference signal to obtain the third information.

Figure 11 shows another structural schematic diagram of a positioning model selection device in an embodiment of the present application. The device 1100 can be applied to a reference terminal. As shown in Figure 11, the device mainly includes: a fourth acquisition module 1101 and a fourth Select module 1102.

In this embodiment of the present application, the fourth acquisition module 1101 is used to acquire fourth information; the fourth selection module 1102 is used to select from multiple positioning models deployed by the target communication device for execution based on the fourth information. Targeting model for positioning.

In a possible implementation, the fourth information includes at least one of the following or information obtained by processing at least one of the following:

scene information;

Multipath information of the reference terminal;

The location information of the reference terminal;

TRP quantity;

Geographical distribution of TRP;

TRP reference signal configuration;

Map information for the scene.

In a possible implementation, the fourth obtaining module 1101 obtains fourth information, including one of the following:

Obtain the fourth information by measuring a reference signal;

Receive the fourth information sent by the network side device.

In a possible implementation, as shown in Figure 11, the device may also include: a third sending module 1103, used for one of the following:

When the target communication device is a network-side device, send the identification of the target positioning model to the network-side device;

When the target communication device is a terminal, send the identification of the target positioning model to the network side device, and instruct the network side device to send the identification of the target positioning model to the terminal;

When the target communication device is a terminal, the identification of the target positioning model is sent to the terminal.

The positioning model selection device in the embodiment of the present application may be an electronic device, such as an electronic device with an operating system, or may be a component in the electronic device, such as an integrated circuit or chip. The electronic device may be a terminal or other devices other than the terminal. For example, terminals may include but are not limited to the types of terminals 11 listed above, and other devices may be servers, network attached storage (Network Attached Storage, NAS), etc., which are not specifically limited in the embodiment of this application.

The positioning model selection device provided by the embodiments of the present application can implement each process implemented by the method embodiments of Figures 2 to 6, and achieve the same technical effect. To avoid duplication, details will not be described here.

Optionally, as shown in Figure 12, this embodiment of the present application also provides a communication device 1200, which includes a processor 1201 and a memory 1202. The memory 1202 stores programs or instructions that can be run on the processor 1201, such as , when the communication device 1200 is a terminal, when the program or instruction is executed by the processor 1201, the above-mentioned positioning model selection method 200 or each step of the above-mentioned positioning method 600 embodiment is implemented, and the same technical effect can be achieved. When the communication device 1200 is a network-side device, when the program or instruction is executed by the processor 1201, the above-mentioned positioning model selection method 300, or the above-mentioned positioning model selection method 400, or the above-mentioned positioning model selection method 500, or the above-mentioned positioning is implemented. Each step of the method 600 embodiment can achieve the same technical effect, so to avoid repetition, it will not be described again here.

An embodiment of the present application also provides a terminal, including a processor and a communication interface. The processor is used to implement the above positioning model selection method 200 or each step of the above positioning method 600 embodiment. The communication interface is used to communicate with external devices. This terminal embodiment corresponds to the above-mentioned terminal-side method embodiment. Each implementation process and implementation manner of the above-mentioned method embodiment can be applied to this terminal embodiment, and can achieve the same technical effect. Specifically, FIG. 13 is a schematic diagram of the hardware structure of a terminal that implements an embodiment of the present application.

The terminal 1300 includes but is not limited to: a radio frequency unit 1301, a network module 1302, an audio output unit 1303, an input unit 1304, a sensor 1305, a display unit 1306, a user input unit 1307, an interface unit 1308, a memory 1309, a processor 1310, etc. At least some parts.

Those skilled in the art can understand that the terminal 1300 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 1310 through a power management system, thereby managing charging, discharging, and power consumption through the power management system. Management and other functions. The terminal structure shown in FIG. 13 does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown in the figure, or some components may be combined or arranged differently, which will not be described again here.

It should be understood that in the embodiment of the present application, the input unit 1304 may include a graphics processor (Graphics Processing Unit, GPU) 13041 and a microphone 13042. The graphics processor 13041 is responsible for the image capture device (GPU) in the video capture mode or the image capture mode. Process the image data of still pictures or videos obtained by cameras (such as cameras). The display unit 1306 may include a display panel 13061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1307 includes a touch panel 13071 and at least one of other input devices 13072 . Touch panel 13071, also called touch screen. The touch panel 13071 may include two parts: a touch detection device and a touch controller. Other input devices 13072 may include but are not limited to physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be described again here.

In this embodiment of the present application, after receiving downlink data from the network side device, the radio frequency unit 1301 can transmit it to the processor 1310 for processing; in addition, the radio frequency unit 1301 can send uplink data to the network side device. Generally, the radio frequency unit 1301 includes, but is not limited to, an antenna, amplifier, transceiver, coupler, low noise amplifier, duplexer, etc.

Memory 1309 may be used to store software programs or instructions as well as various data. The memory 1309 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, Image playback function, etc.) etc. Additionally, memory 1309 may include volatile memory or nonvolatile memory, or memory 1309 may include both volatile and nonvolatile memory. Among them, non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synchlink DRAM, SLDRAM) and Direct Rambus RAM (DRRAM). Memory 1309 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

The processor 1310 may include one or more processing units; optionally, the processor 1310 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface, application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the above modem processor may not be integrated into the processor 1310.

The processor 1310 is configured to obtain first information; and select a target positioning model for performing positioning from a plurality of positioning models deployed by the terminal according to the first information.

Alternatively, the processor 1310 is configured to receive indication information sent by the second communication device, where the indication information includes an identification of the target positioning model; and select a positioning model corresponding to the identification from multiple positioning models deployed by the first communication device. The target positioning model performs positioning calculations

An embodiment of the present application also provides a network side device, including a processor and a communication interface. The processor is used to implement the above In each step of the positioning model selection method 300, or the above-mentioned positioning model selection method 400, or the above-mentioned positioning model selection method 500, or the above-mentioned positioning method 600 embodiment, the communication interface is used for communicating with external devices. This network-side device embodiment corresponds to the above-mentioned network-side device method embodiment or reference terminal method embodiment. Each implementation process and implementation manner of the above-mentioned method embodiment can be applied to this network-side device embodiment, and can achieve the same technical effects.

Specifically, the embodiment of the present application also provides a network side device. As shown in Figure 14, the network side device 1400 includes: an antenna 1401, a radio frequency device 1402, a baseband device 1403, a processor 1404 and a memory 1405. Antenna 1401 is connected to radio frequency device 1402. In the uplink direction, the radio frequency device 1402 receives information through the antenna 1401 and sends the received information to the baseband device 1403 for processing. In the downlink direction, the baseband device 1403 processes the information to be sent and sends it to the radio frequency device 1402. The radio frequency device 1402 processes the received information and then sends it out through the antenna 1401.

The method performed by the network side device in the above embodiment can be implemented in the baseband device 1403, which includes a baseband processor.

The baseband device 1403 may include, for example, at least one baseband board, which is provided with multiple chips, as shown in FIG. Program to perform the network device operations shown in the above method embodiments.

The network side device may also include a network interface 1406, which is, for example, a common public radio interface (CPRI).

Specifically, the network side device 1400 in this embodiment of the present invention also includes: instructions or programs stored in the memory 1405 and executable on the processor 1404. The processor 1404 calls the instructions or programs in the memory 1405 to execute Figures 8 to 11 The execution methods of each module are shown and achieve the same technical effect. To avoid repetition, they will not be described in detail here.

Specifically, the embodiment of the present application also provides a network side device. As shown in Figure 15, the network side device 1500 includes: a processor 1501, a network interface 1502, and a memory 1503. Among them, the network interface 1502 is, for example, a common public radio interface (CPRI).

Specifically, the network side device 1500 in this embodiment of the present invention also includes: instructions or programs stored in the memory 1503 and executable on the processor 1501. The processor 1501 calls the instructions or programs in the memory 1503 to execute each step shown in Figure XX. The method of module execution and achieving the same technical effect will not be described in detail here to avoid duplication.

Embodiments of the present application also provide a readable storage medium, which stores a program or instructions. When the program or instructions are executed by a processor, the above-mentioned positioning model selection method 200 and the above-mentioned positioning model selection method are implemented. 300, or the above-mentioned positioning model selection method 400, or the above-mentioned positioning model selection method 500, or the various processes of the above-mentioned positioning method 600 embodiments, and can achieve the same technical effect. To avoid duplication, they will not be described again here.

Wherein, the processor is the processor in the terminal described in the above embodiment. The readable storage medium includes computer readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disk, etc.

An embodiment of the present application further provides a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run a program or instruct the above positioning model selection method 200. position The model selection method 300, or the above-mentioned positioning model selection method 400, or the above-mentioned positioning model selection method 500, or each process of the above-mentioned positioning method 600 embodiment, and can achieve the same technical effect, to avoid duplication, will not be repeated here. Repeat.

It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-chip or system-on-chip, etc.

Embodiments of the present application further provide a computer program/program product. The computer program/program product is stored in a storage medium. The computer program/program product is executed by at least one processor to implement the above positioning model selection method. 200. The above-mentioned positioning model selection method 300, or the above-mentioned positioning model selection method 400, or the above-mentioned positioning model selection method 500, or the above-mentioned positioning method 600 implements various processes, and can achieve the same technical effect. To avoid duplication, I won’t go into details here.

Embodiments of the present application also provide a positioning model selection system, including: a terminal and a network side device. The terminal can be used to perform the steps of the above positioning model selection method 200, or to perform the steps of the above positioning method 600. The network side device may be configured to perform at least one step of the above-mentioned positioning model selection method 300, the above-mentioned positioning model selection method 400, the above-mentioned positioning model selection method 500, and the above-mentioned positioning method 600.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that 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, but may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions may be performed, for example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to the existing technology. The computer software product is stored in a storage medium (such as ROM/RAM, disk , CD), including several instructions to cause a terminal (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application.

Claims

A positioning model selection method, including:

The terminal obtains the first information;

The terminal selects a target positioning model for performing positioning from a plurality of positioning models deployed by the terminal according to the first information.
The method according to claim 1, wherein the first information includes at least one of the following or information obtained by processing at least one of the following:

Multipath information of terminal channel;

scene information;

The location information of the terminal;

Changes in the multipath information of the terminal within a predetermined time period;

Reference terminal multipath information;

Refer to the terminal’s motion status information;

Reference terminal identification;

Reference terminal location information;

Changes in the multipath information of the reference terminal within a predetermined time period.
The method according to claim 2, wherein the multipath information includes at least one of the following:

First path delay;

First path energy;

Arrival angle of first path;

Departure angle of first diameter;

The maximum N-path delay, where N is an integer greater than 0;

The energy of the maximum N diameter;

The arrival angle of the maximum N diameter;

Departure angle of maximum N diameter;

number of multipaths;

Multipath delay expansion;

Multipath angle expansion;

Line of sight LOS;

Non-line-of-sight NLOS.
The method according to claim 2, wherein the scene information includes at least one of the following:

The number of TRPs at the sending and receiving points;

Geographical distribution of TRP;

TRP reference signal configuration;

Map information for the scene.
The method according to claim 2, wherein the motion status information includes at least one of the following: motion speed, motion direction, and motion acceleration.
The method according to any one of claims 1 to 5, wherein the terminal obtains the first information, including at least one of the following;

Obtain the first information sent by the network side device;

Obtain the first information sent by the reference terminal;

Obtain the first information according to the agreement;

The first information is obtained by measuring a reference signal.
The method of claim 6, wherein the first information includes at least one of the following: measurement information at a first moment, measurement information within a first time period.
A positioning model selection method, including:

The network side device obtains the second information;

The network side device selects a target positioning model from multiple positioning models deployed by the terminal according to the second information;

The network side device sends indication information to the terminal, where the indication information includes an identification of the target positioning model.
The method according to claim 8, wherein the second information includes at least one of the following or information obtained by processing at least one of the following:

Multipath information of the channel;

scene information;

The location information of the terminal;

Changes in the multipath information of the terminal within a predetermined time period;

Reference terminal multipath information;

Reference terminal location information;

Refer to the terminal’s motion status information;

Reference terminal identification;

Changes in the multipath information of the reference terminal within a predetermined time period.
The method according to claim 9, wherein the multipath information includes at least one of the following:

First path delay;

First path energy;

Arrival angle of first path;

Departure angle of first diameter;

The maximum N-path delay, where N is an integer greater than 0;

The energy of the maximum N diameter;

The arrival angle of the maximum N diameter;

Departure angle of maximum N diameter;

number of multipaths;

Multipath delay expansion;

Multipath angle expansion;

Line of sight LOS;

Non-line-of-sight NLOS.
The method according to claim 9, wherein the scene information includes at least one of the following:

TRP quantity;

Geographical distribution of TRP;

TRP reference signal configuration;

Map information for the scene.
The method according to any one of claims 8 to 11, wherein the network side device obtains the second information, including at least one of the following:

The network side device obtains the second information reported by the terminal;

The network side device obtains the second information reported by the reference terminal;

The network side device reads scene information from scene configuration information;

The network side device measures a reference signal to obtain the second information.
The method according to any one of claims 8 to 11, wherein the indication information further includes time information, and the time information is used to indicate that the target positioning model takes effect after a first time.
A positioning method that includes:

The first communication device receives the indication information sent by the second communication device, where the indication information includes an identification of the target positioning model;

The first communication device selects a target positioning model corresponding to the identification from a plurality of deployed positioning models to perform positioning calculation;

Wherein, the first communication device includes a terminal, and the second communication device includes a network side device or a reference terminal; or, the first communication device includes a network side device, and the second communication device includes a reference terminal.
The method according to claim 14, wherein before the first communication device receives the indication information sent by the second communication device, the method further includes:

The first communication device reports second information to the second communication device.
The method according to claim 14 or 15, wherein the indication information also includes time information;

The first communication device selects a target positioning model corresponding to the identification from a plurality of deployed positioning models to perform positioning calculation, including:

The first communication device selects the target positioning model from the plurality of positioning models to perform positioning calculation after the time information indicates the first time.
The method of claim 16, wherein the method further includes:

Within the first time indicated by the time information, the first communication device prohibits positioning calculations; or,

Within the first time indicated by the time information, the first communication device switches to other positioning models for positioning calculation, wherein the other positioning models are among the multiple positioning models except the target positioning model. External positioning model.
The method of claim 17, wherein the other positioning models comprise non-artificial intelligence AI positioning models.
A positioning model selection method, including:

The network side device obtains the third information;

The network side device selects a target positioning model for performing positioning from a plurality of positioning models deployed by the network side device according to the third information.
The method according to claim 19, wherein the third information includes at least one of the following or information obtained by processing at least one of the following:

Multipath information of the channel;

scene information;

Reference terminal multipath information;

Reference terminal location information;

Reference terminal identification;

Changes in the multipath information of the reference terminal within a predetermined time period.
The method according to claim 20, wherein the multipath information includes at least one of the following:

First path delay;

First path energy;

Arrival angle of first path;

Departure angle of first diameter;

The maximum N-path delay, where N is an integer greater than 0;

The energy of the maximum N diameter;

The arrival angle of the maximum N diameter;

Departure angle of maximum N diameter;

number of multipaths;

Multipath delay expansion;

Multipath angle expansion;

Line of sight LOS;

Non-line-of-sight NLOS.
The method according to claim 20, wherein the scene information includes at least one of the following:

TRP quantity;

Geographical distribution of TRP;

TRP reference signal configuration;

Map information for the scene.
The method according to any one of claims 19 to 22, wherein the network side device obtains third information, including at least one of the following:

The network side device obtains the third information reported by the terminal;

The network side device obtains the third information reported by the reference terminal;

The network side device reads scene information from scene configuration information;

The network side device measures a reference signal to obtain the third information.
A positioning model selection method, including:

Refer to the terminal to obtain the fourth information;

The reference terminal selects a target positioning model for performing positioning from a plurality of positioning models deployed by the target communication device according to the fourth information.
The method according to claim 24, wherein the fourth information includes at least one of the following or information obtained by processing at least one of the following:

scene information;

Multipath information of the reference terminal;

The location information of the reference terminal;

Changes in the multipath information of the reference terminal within a predetermined time period.
The method according to claim 25, wherein the scene information includes at least one of the following:

TRP quantity;

Geographical distribution of TRP;

TRP reference signal configuration;

Map information for the scene.
The method according to claim 24, wherein the reference terminal obtains fourth information, including one of the following:

The reference terminal obtains the fourth information by measuring a reference signal;

The reference terminal receives the fourth information sent by the network side device.
The method according to any one of claims 24 to 27, wherein, after selecting a target positioning model for performing positioning from a plurality of positioning models deployed by the target communication device, the method further includes at least one of the following:

When the target communication device is a network-side device, the reference terminal sends the identification of the target positioning model to the network-side device;

When the target communication device is a terminal, the reference terminal sends the identification of the target positioning model to the network side device, and instructs the network side device to send the identification of the target positioning model to the terminal;

When the target communication device is a terminal, the reference terminal sends the identification of the target positioning model to the terminal.
The method according to any one of claims 24 to 28, wherein the reference terminal includes a communication device in a network system for measuring channel state information and measuring accurate location information.
The method of claim 29, wherein the reference terminal includes one of the following:

positioning reference terminal;

Positioning reference unit;

TRP.
A positioning model selection device, applied to terminals, including:

The first acquisition module is used to acquire the first information;

A first selection module, configured to select a target positioning model for performing positioning from a plurality of positioning models deployed by the terminal according to the first information.
A positioning model selection device, applied to network side equipment, including:

The second acquisition module is used to acquire the second information;

A second selection module, configured to select a target positioning model from multiple positioning models deployed by the terminal according to the second information;

The first sending module is configured to send instruction information to the terminal, where the instruction information includes an identifier of the target positioning model, instructing the terminal to use the target positioning model to perform positioning.
A positioning device including:

A receiving module configured to receive indication information sent by the second communication device, where the indication information includes an identification of the target positioning model;

A positioning model, configured to select a target positioning model corresponding to the identification from a plurality of positioning models deployed by the first communication device to perform positioning calculation.
A positioning model selection device, applied to network side equipment, including:

The third acquisition module is used to obtain the third information;

A third selection module, configured to select a target positioning model for performing positioning from a plurality of positioning models deployed by the network side device according to the third information.
A positioning model selection device, applied to a reference terminal, including:

The fourth acquisition module is used to acquire the fourth information;

A fourth selection module, configured to select a target positioning model for performing positioning from a plurality of positioning models deployed by the target communication device according to the fourth information.
A terminal, including a processor and a memory, 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 implementation as claimed in any one of claims 1 to 7 is provided. The steps of the positioning model selection method described above, or the steps of implementing the positioning method as described in any one of claims 14 to 18.
A network side device, including a processor and a memory. The memory stores programs or instructions that can be run on the processor. When the program or instructions are executed by the processor, any one of claims 8 to 13 is implemented. The steps of the positioning model selection method described in the item, or the steps of implementing the positioning method as described in any one of claims 14 to 18, or the steps of implementing the positioning model selection method as described in any one of claims 19 to 30 A step of.
A readable storage medium on which programs or instructions are stored, and the programs or instructions are processed When the processor is executed, the step of realizing the positioning model selection method as described in any one of claims 1 to 7, or the steps of realizing the positioning model selection method as described in any one of claims 8 to 13, or realizing the steps of the positioning model selection method as claimed in any one of claims 8 to 13 are implemented. The steps of the positioning method described in any one of claims 14 to 18, or the steps of implementing the positioning model selection method described in any one of claims 19 to 30.