Positioning method and device, terminal and network side equipment

Abstract

The invention discloses a positioning method and device, a terminal and network side equipment, and belongs to the field of communication, and the method comprises the steps that the terminal sends first information to the network side equipment, and the first information comprises at least one of the following items: first indication information, the configuration indication module is used for indicating at least one of network side configuration expected by the terminal, network side configuration requested by the terminal, network side configuration associated with target measurement information and network side configuration associated with an artificial intelligence AI unit; the second indication information is used for indicating the terminal to acquire the measurement configuration used by the target measurement information; wherein the target measurement information is measurement information used by an AI unit in a training stage or a reasoning stage, and the AI unit is used for determining position related information of the terminal.

Description

Technical Field

[0001] This application belongs to the field of communication technology, specifically relating to a positioning method, device, terminal, and network-side equipment. Background Technology

[0002] In some scenarios, terminals can be located based on artificial intelligence (AI) units. For example, a terminal can determine its location by using channel measurement information as input to the AI ​​unit. However, changing channels may affect the positioning performance of the AI ​​unit. Therefore, how to ensure the positioning performance of the AI ​​unit is an urgent problem to be solved. Summary of the Invention

[0003] This application provides a positioning method, apparatus, terminal, and network-side device that can guarantee the performance of the AI ​​unit.

[0004] Firstly, a positioning method is provided, which includes:

[0005] The terminal sends first information to the network-side device, the first information including at least one of the following:

[0006] The first indication information is used to indicate at least one of the following: the network-side configuration expected by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit;

[0007] The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information;

[0008] The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

[0009] Secondly, a positioning method is provided, which includes:

[0010] The network-side device receives first information from the terminal, the first information including at least one of the following:

[0011] The first indication information is used to indicate at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit.

[0012] The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information;

[0013] The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

[0014] Thirdly, a wireless communication device is provided, comprising:

[0015] The sending module is configured to send first information to a network-side device, the first information including at least one of the following:

[0016] The first indication information is used to indicate at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit.

[0017] The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information;

[0018] The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

[0019] Fourthly, a wireless communication device is provided, comprising:

[0020] The receiving module is configured to receive first information from the terminal, the first information including at least one of the following:

[0021] The first indication information is used to indicate at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit.

[0022] The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information;

[0023] The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

[0024] Fifthly, a wireless communication device is provided, the device being configured to perform the steps of the method described in the first aspect, or to implement the steps of the method described in the second aspect.

[0025] In a sixth aspect, a terminal is provided, the terminal including a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the method as described in the first aspect.

[0026] In a seventh aspect, a terminal is provided, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the method as described in the first aspect.

[0027] Eighthly, a network-side device is provided, the network-side device including a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the method as described in the first aspect.

[0028] In a ninth aspect, a network-side device is provided, including a processor and a communication interface, wherein the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the method as described in the first aspect.

[0029] In a tenth aspect, a readable storage medium is provided, on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method described in the first aspect, or implement the steps of the method described in the second aspect.

[0030] Eleventhly, a wireless communication system is provided, comprising: a terminal and a network-side device, wherein the terminal can be used to perform the steps of the method as described in the first aspect, and the network-side device can be used to perform the steps of the method as described in the second aspect.

[0031] In a twelfth aspect, a chip is provided, the chip including a processor and a communication interface coupled to the processor, the processor being configured to run programs or instructions to implement the method as described in the first aspect, or to implement the method as described in the second aspect.

[0032] In a thirteenth aspect, a computer program / program product is provided, the computer program / program product being stored in a storage medium, the computer program / program product being executed by at least one processor to implement the steps of the positioning method as described in the first aspect, or the steps of the positioning method as described in the second aspect.

[0033] In this embodiment, the terminal can send first information to the network-side device. The first information includes first indication information and / or second indication information. The first indication information indicates at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the AI ​​unit. This allows the network-side device to obtain corresponding positioning assistance information or auxiliary datasets based on the network-side configuration and provide this information to the terminal for inference or training of the AI ​​unit, thereby ensuring the performance of the AI ​​unit. The second indication information indicates the measurement configuration used by the terminal to obtain the target measurement information. Based on this second indication information, the network-side device can determine the measurement configuration used by the terminal to obtain the target measurement information. Furthermore, the network-side device can obtain the measurement information of the PRU based on this measurement configuration for the supervision of the AI ​​unit, which helps ensure the performance of the AI ​​unit. Attached Figure Description

[0034] Figure 1 This is a schematic diagram of a communication system provided in an embodiment of this application.

[0035] Figure 2 This is a schematic diagram of a neuron structure.

[0036] Figure 3 This is a schematic diagram of a neural network.

[0037] Figure 4 This is a schematic diagram of the channel path for terminals to receive signals based on different receiving beams at the same location.

[0038] Figure 5 This is a schematic diagram of the CDF (Center for Positioning Error) obtained by using PDPs of different beam intensities as model inputs.

[0039] Figure 6 This is a schematic diagram of a positioning method provided in an embodiment of this application.

[0040] Figure 7 This is a schematic diagram of a wireless communication device provided in an embodiment of this application.

[0041] Figure 8 This is a schematic diagram of another wireless communication device provided in the embodiments of this application.

[0042] Figure 9 This is a schematic diagram of a communication device provided in an embodiment of this application.

[0043] Figure 10 This is a hardware structure diagram of a terminal provided in an embodiment of this application.

[0044] Figure 11This is a hardware structure diagram of a network-side device provided in an embodiment of this application.

[0045] Figure 12 This is a hardware structure diagram of another network-side device provided in an embodiment of this application. Detailed Implementation

[0046] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0047] The terms "first," "second," etc., used in this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same class, not limited in number; for example, the first object can be one or more. Furthermore, "or" in this application indicates at least one of the connected objects. For example, the scope of protection for "A or B" covers at least three scenarios: Scenario 1: including A but not B; Scenario 2: including B but not A; Scenario 3: including both A and B. In addition, the terms "A and / or B," "at least one of A and B," and "at least one of A or B" also cover at least the above three scenarios. The character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0048] The term "instruction" in this application can be either a direct instruction (or explicit instruction) or an indirect instruction (or implicit instruction). A direct instruction can be understood as one in which the sender explicitly informs the receiver of specific information, the operation to be performed, or the requested result, etc., in the instruction sent. An indirect instruction can be understood as one in which the receiver determines the corresponding information based on the instruction sent by the sender, or makes a judgment and determines the operation to be performed or the requested result, etc., based on the judgment result.

[0049] It is worth noting that the technologies described in this application are not limited to Long Term Evolution (LTE) / LTE-Advanced (LTE-A) systems, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA), or other systems. The terms "system" and "network" in this application are often used interchangeably, and the described technologies can be used with the systems and radio technologies mentioned above, as well as with other systems and radio technologies. The following description describes New Radio (NR) systems for illustrative purposes, and the term NR is used in most of the following description; however, these technologies can also be applied to systems other than NR systems, such as 6th generation (6G) radio systems. th Generation 6G communication system.

[0050] Figure 1This diagram illustrates a block diagram of a wireless communication system applicable to embodiments of this application. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 can be a mobile phone, tablet computer, laptop computer, notebook computer, personal digital assistant (PDA), handheld computer, netbook, ultra-mobile personal computer (UMPC), mobile internet device (MID), augmented reality (AR), virtual reality (VR) device, robot, wearable device, flight vehicle, vehicle user equipment (VUE), shipboard equipment, pedestrian user equipment (PUE), smart home devices (home appliances with wireless communication capabilities, such as refrigerators, televisions, washing machines, or furniture), game consoles, personal computers (PCs), ATMs, or self-service machines, etc. Wearable devices include: smartwatches, smart bracelets, smart earphones, smart glasses, smart jewelry (smart bracelets, smart chains, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among these, in-vehicle devices can also be referred to as in-vehicle terminals, in-vehicle controllers, in-vehicle modules, in-vehicle components, in-vehicle chips, or in-vehicle units, etc. It should be noted that the specific type of terminal 11 is not limited in the embodiments of this application.

[0051] Network-side equipment 12 may include access network equipment or core network equipment. Access network equipment may also be referred to as Radio Access Network (RAN) equipment, radio access network function, or radio access network unit. Access network equipment may include base stations, Wireless Local Area Network (WLAN) access points (APs), or Wireless Fidelity (WiFi) nodes, etc. Base stations may be referred to as Node B (NB), Evolved Node B (eNB), the next generation Node B (gNB), New Radio Node B (NR Node B), access points, relay base stations (RBS), serving base stations (SBS), base transceiver stations (BTS), radio base stations, radio transceivers, Basic Service Sets (BSS), Extended Service Sets (ESS), and home B nodes.

[0052] The term "base station" is not limited to specific technical terms, but can be used to describe a base station in an NR system as an example, and does not limit the specific type of base station, as long as the same technical effect is achieved. It should be noted that the embodiments of this application only use the base station in the NR system as an example for introduction, and do not limit the specific type of base station.

[0053] Core network equipment, also known as core network nodes, core network functions, or core network elements, includes, but is not limited to, at least one of the following: Mobility Management Entity (MME), Access and Mobility Management Function (AMF), Session Management Function (SMF), User Plane Function (UPF), Policy Control Function (PCF), Policy and Charging Rules Function (PCRF), Edge Application Server Discovery Function (EASDF), Unified Data Management (UDM), Unified Data Repository (UDR), Home Subscriber Server (HSS), Centralized network configuration (CNC), Network Repository Function (NRF), Network Exposure Function (NEF), Local NEF (or L-NEF), and Binding Support Function. Support Functions (BSF), Application Functions (AF), Location Management Functions (LMF), Gateway Mobile Location Centres (GMLC), and Network Data Analytics Functions (NWDAF), etc. It should be noted that this application embodiment only uses core network equipment in the NR system as an example and does not limit the specific type of core network equipment. If the name of the core network equipment mentioned in this application embodiment changes in subsequent protocol versions (e.g., 6G), it will still be within the scope of protection of this application.

[0054] Optionally, the core network equipment can be implemented by one or more functional modules in a single device, or by multiple devices working together; this application does not specifically limit this. It is understood that the aforementioned functional modules can be network elements in hardware devices, software functional modules running on dedicated hardware, or virtualized functional modules instantiated on a platform (e.g., a cloud platform).

[0055] To facilitate understanding of the embodiments of this application, the artificial intelligence (AI) technology related to this application will be described.

[0056] AI has been widely applied in various fields. AI modules can be implemented in various ways, such as neural networks, decision trees, support vector machines, and Bayesian classifiers. This application uses neural networks as an example, but does not limit the specific type of AI module. A neural network is a computational model composed of multiple interconnected neurons. The connections between nodes represent weights from the input signal to the output signal; each node performs a weighted summation (SUM) on different input signals and outputs the result through a specific activation function (f). Figure 2 This is a schematic diagram of a neuron structure, where a1, a2, ..., an represent the inputs, w1, w2, ..., wn represent the weights (multiplicative coefficients), b represents the bias (additive coefficient), σ represents the activation function, and y represents the output, where z = a1*w1 + a2*w2 + ... + an*wn + b. Common activation functions include Sigmoid, tanh, ReLU (Rectified Linear Unit), etc.

[0057] A typical neural network is as follows Figure 3 As shown, this neural network comprises an input layer, hidden layers, and an output layer. Through different connection methods, weights, and activation functions of multiple neurons, it can produce different outputs, thereby fitting the mapping relationship from input to output. Each node in the higher-level hierarchy is connected to all its lower-level nodes. This neural network is a fully connected neural network, also known as a deep neural network (DNN).

[0058] The parameters of a neural network are optimized using gradient optimization algorithms. Gradient optimization algorithms are a class of algorithms that minimize or maximize an objective function (or loss function), which is often a mathematical combination of model parameters and data. For example, given data X and its corresponding label Y, a neural network model f(.) is constructed. Based on the input x, the predicted output f(x) can be obtained. Then, the difference between the predicted value and the true value (f(x) - Y) can be calculated, and this difference can be used as the loss function. The goal of gradient optimization algorithms is to find suitable w and b that minimize the value of the aforementioned loss function. The smaller the loss value, the closer the model is to the reality.

[0059] Most common optimization algorithms are based on back propagation (BP). The basic idea of ​​BP is that the learning process consists of two parts: forward propagation of the signal and backward propagation of the error. During forward propagation, the input sample is introduced from the input layer, processed layer by layer by the hidden layers, and then propagated to the output layer. If the actual output of the output layer does not match the expected output, the process transitions to back propagation. Back propagation involves propagating the output error back to the input layer through the hidden layers in a certain form, distributing the error to all units in each layer, thus obtaining the error signal of each unit. This error signal serves as the basis for adjusting the weights of each unit. This process of adjusting the weights through forward and backward propagation is cyclical. This continuous adjustment of weights is the learning and training process of the network. This process continues until the error of the network output is reduced to an acceptable level, or until a predetermined number of learning iterations are completed.

[0060] Common optimization algorithms may include, but are not limited to, gradient descent, stochastic gradient descent (SGD), mini-batch gradient descent, momentum method, Nesterov with momentum, adaptive gradient descent (Adagrad), Adadelta, root mean square propagation (RMSprop), and adaptive momentum estimation (Adam).

[0061] During error backpropagation, these optimization algorithms calculate the gradient based on the error / loss obtained from the loss function with respect to the current neuron, add the learning rate, previous gradients / derivatives / partial derivatives, etc., and then pass the gradient to the previous layer.

[0062] To facilitate a better understanding of the embodiments of this application, the channel path and sampling points are explained.

[0063] Measurement definition based on sampling points

[0064] Suppose there are L complex gain {c} a，l} l and delay {τ l} l The actual channel tap. At the receiving antenna port a, the... The reference symbols (positioning reference signals (PRS) or sounding reference signals (SRS)) received at each subcarrier are given by the following formula:

[0065]

[0066] Where k = -N / 2, -N / 2+1, ..., n / 2-1;

[0067] Where N represents the number of subcarriers carrying reference symbols (e.g., N = 3264); Δ f Indicates the subcarrier spacing (e.g., Δ). f =30kHz); s k Indicates the first Known PRS or SRS on each subcarrier; W′ a [k] represents the received noise.

[0068] The measured channel frequency response samples are shown below:

[0069]

[0070] in, For s k . conjugate.

[0071] Assumption: N FFT >N represents the window size for a single Fast Fourier Transform (FFT) (e.g., N0). FFT =4096); N FFT Δ f Indicates the sampling rate (e.g., 4096 × 30 kHz = 122.88 MHz); d l =τ l ·(N FFT Δ f ) indicates that the sampling period represents the channel tap delay.

[0072] Then, the channel frequency response can be expressed as:

[0073]

[0074] The inverse fast fourier transform (IFFT) of the frequency domain channel response sampling points is used to obtain the measured channel impulse response (CIR) sampling points:

[0075]

[0076] Where d = 0, 1, ..., N FFT -1, and w a [d] is W a IFFT of [k].

[0077] because The real channel tap can induce a time domain (TD) response at a large number of measurement sampling points, with a large response near the real delay and attenuation at sampling points far from the real delay.

[0078] Note that these time-domain or frequency-domain channel measurement sampling points are directly observable at the receiver or receiver unit. These measurement sampling points can be further processed in the following ways.

[0079] By retaining only the first N t Sample points and discard the last N. FFT -N t Each sampling point obtains a truncated TDCIR from the TD CIR.

[0080] By retaining only the power information at the antenna port at each sampling grid point, the TD power delay distribution (TD PDP) is obtained from the (truncated) TD CIR:

[0081]

[0082] The TD CIR / PDP of sub-sampling points is obtained from the (truncated) TD CIR / PDP in the following manner:

[0083] N′ t The value at the sampling point remains at the maximum N′ t power;

[0084] Other N t -N′ t The sampling point is set to zero.

[0085] By using N′ with maximum power tThe sampling point is set to a specific value, and the time-domain delay spectrum (TD DP) is obtained from the TD PDP of the sub-sampling point. The specific value can be a constant, such as 1, or the reference signal received power (RSRP) of the link.

[0086]

[0087] Channel path is obtained by further processing the channel frequency response or channel impulse response using multipath extraction algorithms. Specifically, the result of multipath extraction or estimation algorithms is an estimate of the signal propagation path in the real environment, including the path's delay, power, and phase, which respectively describe the changes in delay, power, and phase experienced by the wireless signal as it travels along the propagation path.

[0088] To facilitate understanding of the embodiments of this application, the positioning reference unit (PRU) related to this application will be described.

[0089] The Positioning Reference Unit (PRU) can be considered a terminal with a known location. The PRU can perform positioning measurements, such as Reference Signal Time Difference (RSTD), Reference Signal Receiving Power (RSRP), and UE Transmit / Receive Time Difference (Rx-Tx time difference measurements), and report these results to the LMF. Furthermore, the PRU can transmit SRS so that the TRP can measure and report the UL positioning measurements of the PRU at a known location (e.g., RTOA, UL Angle of Arrival (AoA), gNBRx-Tx time difference, etc.). The LMF can determine correction terms for other nearby target devices by comparing the PRU measurements with expected measurements from the PRU at a known location. The DL and / or UL position measurements of other target devices can then be corrected based on the previously determined correction terms.

[0090] From the location server's perspective, the PRU function is implemented by a UE with a known location.

[0091] To facilitate understanding of the embodiments of this application, the relevant beam technologies of this application will be described.

[0092] In NR systems, beams can be indicated by quasi-co-located (QCL) information, spatial relationship information, or transmission configuration indicator (TCI) information. Beams can also be indicated by resources. For example, different signals are associated with different beams, which can be further represented as different signals being associated with different QCL information, spatial relationship information, or TCI information.

[0093] To facilitate understanding of the embodiments of this application, the technical problems to be solved by this application will be described.

[0094] In positioning scenarios, UEs at the same location may receive different channels due to different receiving beams (or, in other words, different reference signal resources). For example... Figure 4 The receiving beams are 1, 2, and 3.

[0095] Because NR supports on-demand PRS, even if the AI ​​model's training and inference occur at the same time, the actual measured PRS may not be consistent. In this case, if the beam selected during inference is inconsistent with the beam selected during training, it may lead to a deterioration in the AI ​​model's performance. For example, Figure 5 It is the cumulative distribution function of positioning error obtained by taking PDPs of different beam intensities as input.

[0096] In some scenarios, different PRS or beam configurations used by the AI ​​model during training and inference can also lead to performance degradation of the AI ​​unit.

[0097] In some scenarios, the PRU can provide auxiliary data for the performance supervision of the terminal's AI unit. For example, when the PRU is collecting data, it may use one SRS configuration to send SRS to obtain measurement information, but when the terminal is performing model inference, it may use another SRS configuration to send SRS to obtain measurement information, which may lead to the deterioration of the AI ​​unit's performance.

[0098] Therefore, ensuring the performance of the AI ​​unit is an urgent problem to be solved.

[0099] The positioning method provided in this application will be described in detail below with reference to the accompanying drawings and through some embodiments and application scenarios.

[0100] Figure 6 This is a schematic diagram of a positioning method provided in an embodiment of this application, such as... Figure 6As shown, the method 200 may include at least some of the following:

[0101] S210, the terminal sends first information to the network-side device, the first information including at least one of the following:

[0102] The first indication information is used to indicate at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit.

[0103] The second instruction information is used to instruct the terminal on the measurement configuration used to acquire the target measurement information;

[0104] The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

[0105] In the embodiments of this application, the AI ​​unit can be deployed on the terminal side or on the network side, and this application does not limit it in this regard.

[0106] In this embodiment, the AI ​​unit includes at least one of the following: a first AI unit used by a communication device (terminal, network side); a reference AI unit for a second AI unit used by a communication device (terminal, network side); a third AI unit used by the terminal, network side device, or test device in testing; and a reference AI unit for a fourth AI unit used by the terminal, network side device, or test device in testing. Optionally, the reference AI unit can be used by the terminal to determine which AI unit to use, i.e., which AI unit to use for positioning.

[0107] It should be noted that the AI ​​unit described in this application may also be referred to as AI model, ML (machine learning) model, ML unit, AI structure, AI function, AI characteristic, machine learning model, neural network, neural network function, neural network function, etc. The above terms can be used interchangeably. Alternatively, the AI ​​unit may refer to a processing unit that can implement specific algorithms, formulas, processing flows, capabilities, etc. related to AI. Alternatively, the AI ​​unit may be a processing method, algorithm, function, module, or unit for a specific dataset. Alternatively, the AI ​​unit may be a processing method, algorithm, function, module, or unit running on AI / ML related hardware such as GPU, NPU, TPU, and ASIC. This application does not make any specific limitations in this regard.

[0108] It should also be noted that the identifier of the AI ​​unit / AI model mentioned in this application may be an AI model identifier, an AI structure identifier, an AI algorithm identifier, or an identifier of a specific dataset associated with the AI ​​unit / AI model, or an identifier of a specific scenario, environment, channel characteristics, or device related to the AI / ML, or an identifier of a function, characteristic, capability, or module related to the AI / ML. This application does not make any specific limitations on this.

[0109] It should be noted that in the embodiments of this application, the positioning reference signal can be a downlink positioning reference signal, such as PRS, or it can be an uplink positioning reference signal, such as SRS. The corresponding positioning reference signal configuration can be a PRS configuration or an SRS configuration. The following uses PRS as an example for explanation, but this application is not limited to this.

[0110] It should also be noted that the measurement information can be obtained by measuring the downlink positioning reference signal or by measuring the uplink positioning reference signal; this application does not limit this.

[0111] For example, a terminal or PRU can send an SRS, and network-side devices can measure the SRS and obtain measurement information.

[0112] For example, network-side devices can send PRS, and terminals or PRUs can measure the PRS and obtain measurement information.

[0113] In some embodiments of this application, the first indication information is used to indicate the network-side configuration that the terminal expects or requests. For example, the network-side configuration may include, but is not limited to, at least one of the following: network-side configuration for determining the auxiliary dataset of the AI ​​unit, network-side configuration for determining the positioning assistance information, and network-side configuration for determining the AI ​​unit (e.g., for determining which AI unit to use for positioning).

[0114] That is, the network-side device can determine, based on the first instruction information, at least one of the target network-side configuration used to acquire the auxiliary dataset, the target network-side configuration used to acquire the positioning assistance information, and which AI unit is used for positioning.

[0115] Furthermore, network-side devices can acquire auxiliary datasets, location assistance information, or AI units based on the target network-side configuration, and provide the auxiliary datasets or location assistance information to the terminal.

[0116] In one optional embodiment, the network-side configuration includes configuration or indication information for the AI ​​unit. Optionally, the configuration or indication information for the AI ​​unit may be associated with other network-side configuration information.

[0117] Optionally, in this embodiment, the positioning assistance information can be used in conjunction with the AI ​​unit for reasoning or supervision.

[0118] Optionally, in this embodiment, the positioning assistance information may include the configuration or instruction information of the AI ​​unit, used to instruct the use of the AI ​​unit for reasoning or supervision.

[0119] Optionally, in this embodiment, the auxiliary dataset can be used for training or testing the AI ​​unit.

[0120] For example, auxiliary datasets may include training datasets and / or test datasets for the AI ​​unit.

[0121] Optionally, the auxiliary dataset may include the inputs and / or outputs of the AI ​​unit.

[0122] Optionally, the auxiliary dataset may include only the input of the AI ​​unit.

[0123] It is understood that the input and / or output of the AI ​​unit is only one way of expressing it, and optionally, the input of the AI ​​unit can be the measurement information.

[0124] Among them, the measurement information

[0125] Optionally, the input to the AI ​​unit may also include at least one of the following: the measurement information, the quality information of the measurement information (e.g., signal-to-interference-plus-noise ratio (SINR), signal-to-noise ratio (SNR)), the timestamp of the measurement information, or auxiliary information associated with the measurement information.

[0126] Understandably, the output of the AI ​​unit can be a combination of the measurement information and information acquired by the AI ​​unit, such as location-related information. Optionally, the location-related information includes at least one of the following:

[0127] Absolute position, relative position, relative distance, time information, line-of-sight information, such as LOS or NLOS markers.

[0128] Optionally, the time information may include, but is not limited to, at least one of the following:

[0129] TOA, RSTD, RTOA, Rx-Tx timing difference.

[0130] In some embodiments, the AI ​​unit is deployed on the terminal side. The first indication information can be used to indicate the network-side configuration that the terminal expects or requests. The network-side device can determine, based on the first indication information, the network-side configuration matching the AI ​​unit, and / or the network-side configuration for obtaining the AI ​​unit's location assistance information. Further optionally, the network-side device can configure a network-side configuration consistent with the training phase during the inference or monitoring phase, or configure a network-side configuration consistent with the AI ​​unit's network-side configuration for the terminal. Alternatively, the network-side device can obtain corresponding auxiliary datasets or location assistance information for the training or inference of the AI ​​unit.

[0131] In some embodiments, the AI ​​unit is deployed on the terminal side. The first indication information can be used to indicate the network-side configuration associated with the AI ​​unit. The network-side configuration associated with the AI ​​unit can be a network-side configuration supported by the AI ​​unit. Alternatively, the network-side configuration applicable to the AI ​​unit can be understood as the location assistance information or assistance dataset obtained based on the network-side configuration being adaptable to the AI ​​unit.

[0132] Therefore, in this embodiment of the application, the terminal indicates the desired or requested network-side configuration to the network-side device, so that the network-side device can obtain the corresponding positioning assistance information or auxiliary dataset that matches the AI ​​unit based on the network-side configuration, and provide the positioning assistance information or auxiliary dataset to the terminal for the inference or training of the AI ​​unit, which helps to ensure the performance of the AI ​​unit.

[0133] In some embodiments, the terminal sending first information to the network-side device includes:

[0134] The terminal sends first capability information to the network-side device. This first capability information is used to report the terminal's capabilities to the network-side device. The first capability information may include first indication information, indicating K network-side configurations supported by the terminal. These K network-side configurations are included among P candidate network-side configurations, where K and P are positive integers, and K ≤ P. These K network-side devices can be considered as the network-side configurations desired or requested by the terminal.

[0135] In some embodiments, the terminal sending first information to the network-side device includes:

[0136] The terminal sends first capability information to the network-side device. This first capability information includes terminal capabilities reported by the terminal to the network-side device. The first capability information may include first indication information indicating D AI units supported by the terminal, where each AI unit is associated with one or more network-side configurations. The D AI units are included in G AI units, where D and G are positive integers, and D ≤ G. The D AI units associated with one or more network-side configurations can be considered as network-side configurations desired or requested by the terminal.

[0137] In some embodiments, the terminal sending first information to the network-side device includes:

[0138] The terminal sends a first request to the network-side device. This first request requests location assistance information or auxiliary datasets for AI model training or inference. The first request includes first indication information, which indicates L network-side configurations that the terminal expects or requests. These L network-side configurations are included in P candidate network-side configurations, where L and P are positive integers, and L ≤ P. Optionally, the P candidate network-side configurations can be predefined or pre-configured.

[0139] In some embodiments, the terminal sending first information to the network-side device includes:

[0140] The terminal sends a first request message to the network-side device. The first request message is used to request the AI ​​unit from the network-side device. The first request message includes indication information and / or configuration information of the AI ​​unit, such as AI unit identifier or AI function identifier, or it may include the specific configuration corresponding to the AI ​​unit.

[0141] Optionally, each candidate network-side configuration can correspond to an identification information, such as a configuration index, configuration identifier, or association identifier. In this way, the terminal can indicate its desired or requested network-side configuration to the network-side device simply by using this identification information.

[0142] Optionally, each candidate network-side configuration can correspond to the identification information of one AI unit or a group of AI units. In this way, the terminal can indicate its desired or requested network-side configuration to the network-side device simply by using the identification information of one AI unit or a group of AI units.

[0143] In other embodiments of this application, the first indication information may also indicate the network-side configuration associated with the target measurement information. The target measurement information may be measurement information used by the AI ​​unit during the training, inference, or monitoring phases. The network-side configuration associated with the target measurement information may refer to the target measurement information being obtained based on that network-side configuration.

[0144] Therefore, in this embodiment, by indicating the network-side configuration associated with the measurement information used in the training phase to the network-side device, the network-side device can provide the terminal with positioning assistance information for the inference phase that is consistent with the network-side configuration. Alternatively, by indicating the network-side configuration associated with the measurement information used in the inference phase to the network-side device, the network-side device can determine an auxiliary dataset for the training phase that is consistent with the network-side configuration provided by the terminal, thereby ensuring that the network-side configuration associated with the measurement information used in the inference and training phases is consistent, and guaranteeing the performance of the AI ​​unit. Alternatively, by indicating the network-side configuration associated with the measurement information used in the inference phase to the network-side device, the network-side device can determine an AI unit that is consistent with the network-side configuration provided by the terminal (i.e., the network-side configuration associated with the AI ​​unit is consistent with the network-side configuration provided by the terminal), thereby ensuring that the network-side configuration associated with the measurement information used in the inference and training phases is consistent, and guaranteeing the performance of the AI ​​unit.

[0145] In some embodiments, the AI ​​unit is deployed on the network side. The first indication information can be used to indicate the network side configuration associated with the target measurement information. The network side device can determine the network side configuration used to obtain the target measurement information based on the first indication information. Furthermore, it can determine the AI ​​unit that is consistent with the network side configuration provided by the terminal, thereby ensuring the performance of the AI ​​unit determined by the network side.

[0146] It should be noted that, in the embodiments of this application, the first indication information may explicitly or implicitly indicate the network-side configuration that the terminal expects or requests, or the network-side configuration associated with the target measurement information, or the network-side configuration associated with the AI ​​unit. For example, the first indication information may explicitly indicate a specific network-side configuration, or indicate a configuration index or configuration identifier, which is associated with a set of network-side configurations, or indicate the AI ​​unit used by the terminal, which may be associated with a set of network-side configurations, and the network-side configuration can be determined based on the AI ​​unit.

[0147] In some implementations, the network-side configuration includes, but is not limited to, at least one of the following:

[0148] Configuration information of positioning reference signals, or simply positioning reference signal configuration;

[0149] Beam configuration;

[0150] Grouping information for location assistance;

[0151] Grouping information for auxiliary datasets.

[0152] The specific implementation of the beam configuration will be explained below.

[0153] In some embodiments, the first indication information may indicate the positioning reference signal configuration that the terminal expects or requests, or the positioning reference signal configuration associated with the target measurement information. In this way, the network-side device can obtain the corresponding positioning assistance information or auxiliary dataset based on the positioning reference signal configuration, which helps to ensure that the positioning reference signal configuration associated with the measurement information used in the inference and training phases is consistent and ensures the performance of the AI ​​unit.

[0154] Optionally, the configuration information for the positioning reference signal includes one or more of the following:

[0155] QCL configuration for positioning reference signals;

[0156] The transmission power of the positioning reference signal;

[0157] Silent information for locating reference signals.

[0158] Optionally, the configuration information for the positioning reference signal includes one or more of the following:

[0159] The bandwidth information of the positioning reference signal;

[0160] Frequency information of the location reference signal;

[0161] The location information of the TRP associated with the positioning reference signal;

[0162] The line-of-sight information of the TRP associated with the positioning reference signal;

[0163] The first time window information associated with the positioning reference signal is used to indicate the time window corresponding to the positioning reference signal;

[0164] Aggregation indication information is used to indicate whether to aggregate measurement information of positioning reference signals from multiple frequency points for training or supervision of AI units.

[0165] In some embodiments, the first indication information may indicate the beam configuration that the terminal expects or requests, or the beam configuration associated with the target measurement information. In this way, the network-side device can obtain the corresponding positioning assistance information or auxiliary dataset based on the beam configuration, which helps to ensure that the beam configuration associated with the measurement information used in the inference and training phases is consistent and ensures the performance of the AI ​​unit.

[0166] Optionally, the grouping information of the positioning assistance information can be used to indicate at least one positioning assistance information group, each positioning assistance information group corresponding to a network-side configuration, such as a positioning reference signal configuration or a beam configuration. Each positioning assistance information group may include positioning assistance information for the corresponding network-side configuration. For example, at least one positioning assistance information group includes a first positioning assistance information group and a second positioning assistance information group, wherein the first positioning assistance information corresponds to a first positioning reference signal configuration or a first beam configuration, and the second positioning assistance information corresponds to a second positioning reference signal configuration or a second beam configuration.

[0167] Optionally, when the first indication information indicates that the terminal expects or requests a positioning reference signal configuration as a first positioning reference signal configuration, or when the first indication information indicates that the terminal expects or requests a beam configuration as a first beam configuration, the network-side device can provide the terminal with positioning assistance information from the positioning assistance information packet associated with the first positioning reference signal configuration or the first beam configuration. Further, it can be understood that the network-side device sends the first positioning reference signal according to the first positioning reference signal configuration, or sends the first positioning reference signal according to the first beam configuration, thereby obtaining the positioning assistance information from the corresponding positioning assistance information packet.

[0168] Optionally, the grouping information of the auxiliary datasets can be used to indicate at least one auxiliary dataset group, each auxiliary dataset group corresponding to a network-side configuration, such as a positioning reference signal configuration or a beam configuration. Each auxiliary dataset group may include auxiliary datasets for the corresponding network-side configuration. For example, at least one auxiliary dataset group includes a first auxiliary dataset group and a second auxiliary dataset group, wherein the first positioning assistance information corresponds to a first positioning reference signal configuration or a first beam configuration, and the second positioning assistance information corresponds to a second positioning reference signal configuration or a second beam configuration.

[0169] Optionally, when the first indication information indicates that the terminal expects or requests a positioning reference signal configuration of a second positioning reference signal configuration, or when the first indication information indicates that the terminal expects or requests a beam configuration of a second beam configuration, the network-side device can provide the terminal with auxiliary datasets from the auxiliary dataset group corresponding to the second positioning reference signal configuration or the second beam configuration. Further, it can be understood that the network-side device sends the second positioning reference signal according to the second positioning reference signal configuration, or sends the second positioning reference signal according to the second beam configuration, thereby obtaining the auxiliary datasets from the corresponding auxiliary dataset group.

[0170] In some embodiments, the location assistance information may include at least one of the following:

[0171] Configuration information for the positioning reference signal;

[0172] Measurement information of PRU.

[0173] In some embodiments, the auxiliary dataset includes at least one of the following:

[0174] Measurement information;

[0175] Location-related information associated with the measurement information;

[0176] The timestamp information associated with the measurement information;

[0177] The timestamp information associated with the location-related information.

[0178] In some embodiments, the first indication information includes an associated ID, which indicates some or all of the network-side configurations. For example, each associated ID may be associated with a set of network-side configurations.

[0179] In some embodiments, the association identifier is used to indicate that some or all of the network-side configuration includes:

[0180] The association identifier is used to indicate at least one of the following network-side configurations:

[0181] Location information of at least one TRP, such as location information of a TRP or location information of TRPs in a list of TRPs;

[0182] At least one TRP associated with sight distance information, such as including sight distance information associated with a TRP or sight distance information associated with TRPs in a TRP list;

[0183] The bandwidth information of the positioning reference signal;

[0184] First time window information is used to indicate the time window corresponding to the positioning reference signal;

[0185] Frequency information of the location reference signal;

[0186] Aggregation indication information is used to indicate whether to aggregate measurement information of positioning reference signals from multiple frequency points (i.e., measurement information obtained based on the positioning reference signals from these multiple frequency points) for training or supervision of the AI ​​unit.

[0187] Optionally, the line-of-sight information associated with at least one TRP can be used to indicate whether there is line-of-sight between the at least one TRP and the terminal. For example, the line-of-sight information may include a line-of-sight (LOS) identifier or a non-line-of-sight (Non-Line of Sight) identifier.

[0188] Beam configuration.

[0189] Optionally, the first time window information can be used to indicate the sending or receiving window of the positioning reference signal.

[0190] Optionally, the first-time window information may include, but is not limited to, at least one of the following:

[0191] The start time, duration, and period information of the first time window.

[0192] In some embodiments, the association identifier is used to indicate a portion of the network-side configuration. For example, the association identifier is used to indicate a configuration in the network-side configuration that can be dynamically changed, such as beam configuration. At time 1, the beam configuration of the network-side device is beam configuration 1, and at time 2, the beam configuration of the network-side device is beam configuration 2. For example, the configuration of positioning reference signals. For example, at night, many positioning reference signals of the network-side device are not sent, and during the day, the network-side device sends positioning reference signals associated with different beam configurations.

[0193] Optionally, in some embodiments, the PRU can provide auxiliary data for supervising the AI ​​model. For example, this auxiliary data may include the PRU's measurement information and its location-related information. The PRU's location-related information can serve as a ground truth label, and the PRU's measurement information can be used as input to the AI ​​model to evaluate the AI ​​unit's performance. For instance, the performance of the AI ​​unit can be determined by comparing the PRU's location-related information determined by the AI ​​model based on the PRU's measurement information with the ground truth label. However, if the measurement configurations used by the PRU and the terminal to obtain the measurement information are different, supervising the AI ​​unit's performance based on the auxiliary data provided by the PRU may affect the reliability of the AI ​​unit's performance supervision results. For example, if the measurement configuration or positioning reference signal configuration on which the PRU's measurement information is based differs from the measurement configuration or positioning reference signal configuration on which the terminal's measurement information is based, a large error between the PRU's location-related information and the ground truth label inferred from the input PRU's measurement information to the AI ​​unit does not necessarily indicate poor positioning performance of the AI ​​unit, and vice versa.

[0194] In this embodiment, the terminal can send a second indication message to the network-side device to indicate the measurement configuration used by the terminal to obtain the target measurement information. Based on the second indication message, the network-side device can know the measurement configuration used by the terminal to obtain the target measurement information. Furthermore, the network-side device can obtain the measurement information of the PRU based on the measurement configuration. For example, the measurement information obtained by the PRU based on the same measurement configuration is beneficial to ensuring the reliability of the performance supervision of the AI ​​unit.

[0195] In this embodiment, the terminal can send a second indication message to the network-side device to indicate the measurement configuration used by the terminal to obtain the target measurement information. Based on the second indication message, the network-side device can know the measurement configuration used by the terminal to obtain the target measurement information. Furthermore, the network-side device can determine the AI ​​unit associated with the measurement configuration, such as an AI unit that is applicable (or matches) to the measurement configuration, and use the AI ​​unit to process the terminal's measurement information.

[0196] It should be noted that, in the embodiments of this application, the second indication information may explicitly or implicitly indicate the measurement configuration used by the terminal to obtain the target measurement information. For example, the second indication information may explicitly indicate the specific measurement configuration, or it may indicate a configuration index or configuration identifier, which is associated with a set of measurement configurations. Alternatively, the second indication information may include indication information of an AI unit, which is associated with a set of measurement configurations, and the measurement configuration can be determined based on the AI ​​unit.

[0197] In some embodiments, the measurement configuration includes, but is not limited to, at least one of the following:

[0198] The measurement type used by the terminal to acquire the target measurement information;

[0199] The type of target measurement information;

[0200] The composition of the target measurement information;

[0201] The beam configuration used to obtain the target measurement information.

[0202] Optionally, the measurement type used by the terminal to acquire target measurement information can be a path-based measurement type or a sample-based measurement type.

[0203] Optionally, path-based measurement types can refer to acquiring measurement information in time units with integer or non-integer sampling granularity, while sample-based measurement types can refer to acquiring measurement information in time units with integer sampling granularity.

[0204] Optionally, the second indication information includes a measurement type indication, used to indicate that the measurement type associated with the target measurement information is a channel path-based measurement type or a sampling point-based measurement type.

[0205] Optionally, the measurement type indicator can be 1 bit, and different values ​​of this 1 bit are used to indicate whether the measurement type used by the terminal to obtain the target measurement information is a path-based measurement type or a sample-based measurement type.

[0206] Optionally, the measurement type indicated by the measurement type indicator can be a measurement type associated with an AI unit, or it can be a measurement type not associated with an AI unit. That is, the measurement type can be associated with an AI unit, or it can be unrelated to an AI unit.

[0207] Optionally, the type of target measurement information may include at least one of the following:

[0208] The impulse response information of the measured channel or positioning reference signal, such as the channel impulse response (CIR);

[0209] The measured power delay profile (PDP) information of the channel or positioning reference signal;

[0210] The time delay profile (DP) information of the measured positioning reference signal;

[0211] Multipath measurement information of the measured positioning reference signal;

[0212] Measurement information from multiple sampling points of the positioning reference signal.

[0213] Optionally, the time delay spectrum includes only time information.

[0214] Optionally, the power delay profile (PDP) information is a combination of time information and power information.

[0215] Optionally, the channel impulse response information is a combination of time information, power information, and phase information, or a complex impulse response, including two channels, I and Q, each of which includes at least time delay information and amplitude information (or power information).

[0216] Optionally, the time information includes at least one of the following: TOA, RSTD, RTOA, and Rx-Tx timing difference.

[0217] Optionally, the type of target measurement information can be determined based on the type of time information associated with the target measurement information, such as a path-based measurement type or a sample-based measurement type.

[0218] Optionally, the type of target measurement information can be determined based on the type of time information associated with the target measurement information. For example, the time information can be RSTD type, TOA type, or Rx-Tx timing difference type. RSTD type time information refers to the measurement time information of the target TRP relative to the reference TRP. TOA type time information refers to the measurement time information of the target TRP relative to the terminal's downlink frame time. Rx-Tx timing difference type time information refers to the measurement time information of the target TRP relative to the terminal's uplink frame time.

[0219] Optionally, each path measurement information in the multipath measurement information is a combination of at least one of the following: path delay, path power, path phase, and path angle.

[0220] Optionally, the measurement information at each sampling point of the multi-sampling point measurement information is a combination of at least one of the following: the time corresponding to the sampling point, the power corresponding to the sampling point, the phase corresponding to the sampling point, and the angle corresponding to the sampling point.

[0221] Optionally, the target measurement information may include at least one of the following:

[0222] Delay, power, phase, angle.

[0223] Optionally, the second indication information includes a measurement composition indication, which indicates at least one of the following:

[0224] The time unit associated with the target measurement information can be continuous or discontinuous;

[0225] The time units associated with the target measurement information are the time units corresponding to the K strongest powers, where K is a positive integer;

[0226] The target measurement information includes the reporting granularity of time information;

[0227] The number of processed sampling samples corresponding to the target measurement information;

[0228] Does the target measurement information include direct trajectory indication information?

[0229] Does the target measurement information include power information?

[0230] Does the target measurement information include phase information?

[0231] The type of time information associated with the target measurement information.

[0232] Optionally, the second indication information includes a measurement composition indication, which indicates at least one of the following:

[0233] The number of paths in the multipath measurement information;

[0234] The number of time units associated with the target measurement information.

[0235] In some embodiments, the quality information (e.g., SINR, SNR) obtained when acquiring the target measurement information can also be considered as a measurement configuration or measurement condition.

[0236] Optionally, the second indication information includes the type of time information associated with the target measurement information, such as at least one of RSTD, Rx-Tx timing difference, and TOA.

[0237] In a typical embodiment, for a UE-based positioning scheme, the network-side device is not informed of the measurement information used by the UE for positioning. For example, the specific measurement information used may include the measurement configuration, whether the measurement includes power information, the type of time information associated with the target measurement information, or whether the measurement is path-based or sample-based. This application enhances this scheme by requiring the UE to send first and / or second indication information to the network-side device for UE-based positioning, thereby enabling the network to provide more reasonable positioning assistance information and / or auxiliary datasets.

[0238] In some embodiments, the beam configuration used to acquire the target measurement information includes the beam configuration used by the terminal to receive the target positioning reference signal, or the beam configuration used by the terminal to transmit the target positioning reference signal, wherein the target measurement information is associated with the target positioning reference signal, for example, the target measurement information is obtained by measuring the target positioning reference signal.

[0239] That is, the terminal can receive the target positioning reference signal based on the beam configuration to obtain the target measurement information, or the terminal can send the target positioning reference signal based on the beam configuration to obtain the target measurement information.

[0240] Optionally, the beam configuration used by the terminal to receive the target positioning reference signal includes at least one of the following:

[0241] Receive beam index;

[0242] Send beam index;

[0243] The receiving mode indicator is used to indicate whether multiple receiving beams are used to acquire the target measurement information;

[0244] Beam indication information, used to indicate multiple receiving beams that receive the target positioning reference signal;

[0245] Antenna indication information is used to indicate the use of an antenna to receive the target positioning reference signal and / or the use of an antenna port to receive the target positioning reference signal.

[0246] Optionally, the receive beam index can be used to indicate the receive beam used by the terminal to receive the target positioning reference signal.

[0247] Optionally, the receiving mode indication can be 1 bit, and different values ​​of this 1 bit are used to indicate whether to use multiple receiving beams to acquire the target measurement information, or not to use multiple receiving beams to acquire the target measurement information, that is, to use a single receiving beam to acquire the target measurement information.

[0248] Optionally, the beam indication information may include the receive beam indexes corresponding to the multiple receive beams used to receive the target positioning reference signal.

[0249] Optionally, the antenna indication information may include the antenna index of the antenna used to receive the target positioning reference signal.

[0250] In some embodiments of this application, the beam configuration in the network-side configuration or the beam configuration in the measurement configuration used to obtain the target measurement information includes at least one of the following:

[0251] Beam index;

[0252] Identification information for the positioning reference signal, used to identify the positioning reference signal;

[0253] Community signage:

[0254] Community list identifier;

[0255] Area identification;

[0256] The center angle of the beam;

[0257] Transformation parameters from Local Coordinate System (LCS) to Global Coordinate System (GCS);

[0258] Antenna Reception Point (ARP) identifier;

[0259] Frequency domain information;

[0260] Beam pattern configuration.

[0261] In some specific embodiments, the beam shape configuration includes at least one of the following:

[0262] Information on antenna spacing, number of antennas, and antenna orientation (or ARP or panel orientation).

[0263] In other specific embodiments, the beamform configuration includes the power response of the received beam at a first angle or a set of first angles. That is, the power response of the received beam can be quantized at each received beam granularity. For example, if the first angle includes 0:1 degree:120 degrees, then the power of the received beam at [0:1 degree:120 degrees] is [P...]. 0°，1 P 1°，1 ...P 120°，1 Alternatively, the beamform configuration includes the relative power responses of multiple receiving beams at a first angle or a set of first angles; that is, the relative power responses between multiple receiving beams can be quantized at the granularity of each angle and each receiving beam. For example, if the first angle includes 0:1 degree:120 degrees, then the relative power of the first receiving beam in the multiple receiving beams at [0:1 degree:180 degrees] is [P]. 0°，1 -P 0°，max P 1°，1 -P 1°，max ...P 120°，1 -P 180°，max ].

[0264] In some further embodiments, the beamform configuration includes the power response of a positioning reference signal at a first angle or a set of first angles. That is, the power response of the positioning reference signal can be quantized at the granularity of each positioning reference signal. Alternatively, the beamform configuration includes the relative power responses of multiple positioning reference signals at the first angle or a set of first angles. That is, the relative power responses between multiple positioning reference signals can be quantized at the granularity of each positioning reference signal for each angle.

[0265] Optionally, the measurement configuration associated with the target measurement information and the network-side configuration associated with the target measurement information can be associated.

[0266] That is, the measurement configuration used by the terminal to acquire target measurement information is associated with the network-side configuration on which the target measurement information is based. By associating the measurement configuration of the target measurement information with the network-side configuration, it can be ensured that the AI ​​unit uses measurement information with the same associated measurement configuration and network-side configuration during the training or inference phase, thereby ensuring the performance of the AI ​​unit.

[0267] Optionally, when generating the target measurement information, the target measurement information can be associated with the corresponding measurement configuration or network-side configuration.

[0268] In some embodiments of this application, the measurement configuration is associated with at least one of the following:

[0269] At least one TRP associated with the target measurement information;

[0270] The bandwidth information of the positioning reference signal associated with the target measurement information;

[0271] The first time window information associated with the target measurement information, wherein the first time reference information is used to indicate the time window corresponding to the positioning reference signal;

[0272] The frequency point information of the positioning reference signal associated with the target measurement information;

[0273] The aggregation indication information associated with the target measurement information is used to indicate whether to aggregate positioning assistance information from multiple frequency points for training or supervision of the AI ​​unit.

[0274] The target measurement information is associated with the line-of-sight information.

[0275] For example, if the target measurement information is associated with a first measurement configuration (e.g., including path-based measurement types) and a first network-side configuration (e.g., including a first TRP, or a first positioning reference signal bandwidth, or a first frequency point), and this target measurement information is the processing information used during the training phase, then during the inference phase, the measurement information associated with the first measurement configuration and the first network-side configuration can be used to perform inference on the AI ​​unit, which helps to ensure the inference performance of the model. Alternatively, the measurement information of the PRU associated with the first measurement configuration and the first network-side configuration can be obtained to supervise the AI ​​model, which helps to ensure the reliability of the performance supervision of the AI ​​unit.

[0276] Optionally, the network-side configuration indicated by the first indication information may be object-indiscriminate, or it may be object-specific, such as specific cell or specific area.

[0277] In some embodiments, the first indication information is associated with at least one of the following:

[0278] At least one community identifier;

[0279] At least one cell list identifier;

[0280] At least one area identifier;

[0281] At least one configuration identifier is used to indicate configuration information for at least one on-demand positioning reference signal;

[0282] At least one target localization aid;

[0283] Configuration information for at least one target positioning reference signal;

[0284] At least one beam configuration;

[0285] At least one auxiliary dataset.

[0286] Optionally, the first indication information is an association identifier, which is associated with at least one of the following:

[0287] At least one community identifier;

[0288] At least one cell list identifier;

[0289] At least one area identifier;

[0290] At least one configuration identifier is used to indicate configuration information for at least one on-demand positioning reference signal;

[0291] At least one target localization aid;

[0292] Configuration information for at least one target positioning reference signal;

[0293] At least one beam configuration;

[0294] At least one auxiliary dataset.

[0295] Optionally, the first indication information is associated with at least one cell identifier. This could mean that the network-side configuration indicated by the first indication information is associated with at least one cell identifier, or that the network-side configuration is the network-side configuration under the cell identified by the at least one cell identifier, or that the network-side configuration can be at the cell level. For example, the positioning reference signal configuration, beam configuration, positioning assistance information grouping information, and auxiliary dataset grouping information can be at the cell level. Therefore, based on the at least one cell identifier and the first indication information, the configuration information of the positioning reference signal, beam configuration, positioning assistance information grouping information, or auxiliary dataset grouping information within the cell identified by the at least one cell identifier can be identified.

[0296] Optionally, the first indication information is associated with at least one cell list identifier. This can mean that the network-side configuration indicated by the first indication information is associated with at least one cell list identifier, or that the network-side configuration is a network-side configuration under the cell list identified by the at least one cell list identifier, or that the network-side configuration can be at the cell list granularity. For example, the positioning reference signal configuration, beam configuration, positioning assistance information grouping information, and auxiliary dataset grouping information can be at the cell list granularity. Therefore, based on the at least one cell list identifier and the first indication information, the positioning reference signal configuration information, beam configuration, positioning assistance information grouping information, or auxiliary dataset grouping information within the cell list identified by the at least one cell list identifier can be identified.

[0297] Optionally, the first indication information is associated with at least one area identifier. This can mean that the network-side configuration indicated by the first indication information is associated with at least one area identifier, or that the network-side configuration is a network-side configuration within the area identified by the at least one area identifier, or that the network-side configuration is at the area level. For example, the configuration of positioning reference signals, beam configuration, grouping information of positioning assistance information, and grouping information of auxiliary datasets can be at the area level. Therefore, based on the at least one area identifier and the first indication information, the configuration information of positioning reference signals, beam configuration, grouping information of positioning assistance information, or grouping information of auxiliary datasets within the area identified by the at least one area identifier can be identified.

[0298] Optionally, associating the first indication information with at least one configuration identifier may refer to associating the first indication information with the configuration information of at least one on-demand positioning reference signal (PRS), or it may indicate the configuration information of at least one on-demand positioning reference signal (PRS). Optionally, the configuration identifier may be pre-configured or predefined for identifying the configuration information of the on-demand positioning reference signal. Optionally, the configuration information of the on-demand positioning reference signal may include the beam information of the on-demand positioning reference signal. Optionally, the association identifier may be the at least one configuration identifier.

[0299] The terminal indicates the configuration information of at least one on-demand positioning reference signal (PRS) to the network-side device. The network-side device can then obtain measurement information for the terminal's AI unit based on this configuration information, ensuring the consistency of the positioning reference signal configuration used by the AI ​​unit during training and inference phases, thus guaranteeing the AI ​​unit's positioning performance. Alternatively, it can obtain the measurement information of the PRU (Programmer, Controller, and User Unit) based on the configuration information of the at least one on-demand positioning reference signal (PRS) for AI unit performance supervision, ensuring consistency between the measurement information on the PRU side and the measurement information on the terminal side, and guaranteeing the reliability of AI unit performance supervision. Alternatively, it can identify the AI ​​unit associated with the configuration information of the on-demand positioning reference signal (PRS), such as an AI unit to which the configuration information is applicable (or matches), and use this AI unit to process the terminal's measurement information, which helps to ensure the performance of the AI ​​unit.

[0300] Optionally, associating the first indication information with at least one target positioning assistance information may mean that the first indication information is used to indicate at least one target positioning assistance information. Optionally, M positioning assistance information can be predefined or preconfigured, and the first indication information can indicate at least one target positioning assistance information among the M positioning assistance information. For example, the terminal can indicate the desired or requested target positioning assistance information to the network-side device. Further, the network-side device obtains the corresponding positioning assistance information based on the target positioning assistance information for the inference of the AI ​​unit, ensuring the inference performance of the model.

[0301] Optionally, associating the first indication information with the configuration information of at least one target positioning reference signal may mean that the first indication information is used to indicate the configuration information of at least one target positioning reference signal. Optionally, configuration information for N positioning reference signals may be predefined or pre-configured, and the first indication information may indicate the configuration information of at least one target positioning reference signal among the configuration information of these N positioning reference signals. For example, the terminal may indicate the desired or requested configuration information of a target positioning reference signal to the network-side device. Further, the network-side device obtains corresponding positioning assistance information or auxiliary datasets based on the configuration information of the target positioning reference signal for inference or training of the AI ​​unit, ensuring model performance.

[0302] Optionally, associating the first indication information with at least one beam configuration may mean that the first indication information is used to indicate at least one beam configuration. Optionally, P beam configurations are predefined or preconfigured, and the first indication information may indicate at least one of the P beam configurations. For example, the terminal may indicate a desired or requested beam configuration to the network-side device. Further, the network-side device obtains corresponding positioning assistance information or auxiliary datasets based on the beam configuration for inference or training of the AI ​​model, ensuring the performance of the AI ​​unit.

[0303] Optionally, associating the first indication information with at least one auxiliary dataset may mean that the first indication information is used to indicate at least one auxiliary dataset. Optionally, Q auxiliary datasets are predefined or preconfigured, and the first indication information may indicate at least one of the Q auxiliary datasets. For example, the terminal may indicate a desired or requested auxiliary dataset to the network-side device, and further, the network-side device may obtain the corresponding auxiliary dataset based on the desired or requested auxiliary dataset for training the AI ​​unit, thereby ensuring the performance of the AI ​​unit.

[0304] In some embodiments, the first indication information is associated with the target measurement information.

[0305] The first indication information associated with the target measurement information can refer to the target measurement information being associated with the network-side configuration indicated by the first indication information. For example, if the first indication information and the target measurement information are sent via different signaling, an association identifier can be carried when sending the target measurement information, indicating that the target measurement information is associated with the network-side configuration indicated by the association identifier, or in other words, the target measurement information was measured under the network-side configuration indicated by the association identifier. Then, when using the measurement information for subsequent training or inference of the AI ​​unit, the AI ​​unit can obtain the measurement information associated with the desired or requested network-side configuration for training or inference, ensuring the performance of the AI ​​unit.

[0306] In some embodiments of this application, such as Figure 6 As shown, the method 200 further includes:

[0307] S220, the terminal receives second information from the network-side device, the second information including positioning assistance information or auxiliary dataset. Optionally, the second information can be determined based on the first information; for example, the positioning assistance information or auxiliary dataset in the second information is associated with the network-side configuration or measurement configuration indicated in the first information.

[0308] In some embodiments, the positioning assistance information includes positioning assistance information used for training, inference, or supervision of the AI ​​unit.

[0309] In some embodiments, the auxiliary dataset includes an auxiliary dataset for training or testing the AI ​​unit.

[0310] In some embodiments, the positioning assistance information includes at least one of the following:

[0311] Configuration information of positioning reference signals, or simply positioning reference signal configuration;

[0312] The first measurement information includes measurement information acquired by at least one PRU under the network-side configuration;

[0313] The second measurement information includes measurement information acquired by at least one PRU based on the measurement configuration.

[0314] In some embodiments, each data unit of the auxiliary dataset includes at least one of the following:

[0315] Measurement information;

[0316] Location-related information associated with the measurement information;

[0317] The timestamp information associated with the measurement information;

[0318] The timestamp information associated with the location-related information.

[0319] Optionally, the location-related information includes at least one of the following:

[0320] Absolute position, relative position, relative distance, time information, line-of-sight information, such as LOS or NLOS markers.

[0321] Optionally, the time information may include, but is not limited to, at least one of the following:

[0322] TOA, RSTD, RTOA, Rx-Tx timing difference.

[0323] Optionally, the first measurement information includes at least one of the following:

[0324] The impulse response information of the measured channel or positioning reference signal, such as CIR;

[0325] PDP information of the measured channel or positioning reference signal;

[0326] DP information of the measured positioning reference signal;

[0327] Multipath measurement information of the measured positioning reference signal;

[0328] Measurement information from multiple sampling points of the positioning reference signal.

[0329] Optionally, the second measurement information includes at least one of the following:

[0330] The impulse response information of the measured channel or positioning reference signal, such as CIR;

[0331] PDP information of the measured channel or positioning reference signal;

[0332] DP information of the measured positioning reference signal;

[0333] Multipath measurement information of the measured positioning reference signal;

[0334] Measurement information from multiple sampling points of the positioning reference signal.

[0335] The specific implementation of each of the above information items is described in the relevant descriptions of the foregoing embodiments, and will not be repeated here for the sake of brevity.

[0336] In some embodiments, the second information may be obtained by a network-side device, such as by measurement, or by the network-side device from at least one terminal and / or at least one PRU.

[0337] In some embodiments, the positioning assistance information is associated with at least one of the first indication information and the second indication information. In other words, the positioning assistance information is associated with at least one of the network-side configuration indicated by the first indication information and the measurement configuration indicated by the second indication information.

[0338] In some specific embodiments, the location assistance information associated with at least one of the first indication information and the second indication information includes at least one of the following:

[0339] The configuration information of the positioning reference signal is associated with the first indication information;

[0340] The target positioning reference signal is associated with the first indication information, wherein the target positioning reference signal is a positioning reference signal associated with the target measurement information;

[0341] The measurement configuration associated with the second measurement information matches the measurement configuration associated with the target measurement information, or in other words, the measurement configuration used by the at least one PRU to obtain the second measurement information matches the measurement configuration used by the terminal to obtain the target measurement information.

[0342] For example, the positioning assistance information is associated with the network-side configuration indicated by the first indication information. Specifically, the positioning assistance information includes measurement information obtained under the network-side configuration indicated by the first indication information.

[0343] For example, the positioning assistance information is associated with the measurement configuration indicated by the second indication information. Specifically, the positioning assistance information includes measurement information obtained by the PRU based on the measurement configuration indicated by the second indication information.

[0344] In one embodiment, for a UE-based positioning scheme, the terminal can send first indication information and / or second indication information to the network-side device. For example, this may indicate the measurement configuration used for specific measurement information, whether the measurement includes power information, the type of time information associated with the target measurement information, or whether the measurement is path-based or sample-based. Then, the measurement configuration associated with the PRU measurement information provided by the network-side device is consistent with the measurement configuration associated with the terminal's target measurement information; alternatively, the measurement information of the PRU provided by the network side is a subset of the measurement configuration associated with the target measurement information; or, the two can be converted to each other.

[0345] In some embodiments, the matching of the measurement configuration associated with the second measurement information and the measurement configuration associated with the target measurement information may include, but is not limited to, at least one of the following:

[0346] The measurement type of the second measurement information matches the measurement type of the target measurement information. For example, their measurement types are the same, or the measurement type of the second measurement information is a subset of the measurement type of the target measurement information.

[0347] The type of the second measurement information matches the type of the target measurement information, for example, they are of the same type, or the type of the second measurement information is a subset of the type of the target measurement information;

[0348] The composition of the second measurement information matches the composition of the target measurement information, for example, the two have the same composition, or the components of the second measurement information are a subset of the components of the target measurement information;

[0349] The beam configuration associated with the second measurement information and the beam configuration associated with the target measurement information are, for example, identical, or the beam configuration associated with the second measurement information is a subset of the beam configuration associated with the target measurement information.

[0350] For example, the type of target measurement information of the terminal is RSTD information, and the measurement information of the PRU is also RSTD information; or, the components of the target measurement information of the terminal include time information and power information, and the components of the measurement information of the PRU include a subset of the target measurement information of the terminal, such as including time information and power information, or only time information.

[0351] For example, the measurement type of the target measurement information of the terminal is sample-based, and the measurement information of the PRU is also sample-based.

[0352] For example, the target measurement information of the terminal is composed of measurement information over continuous time, and the measurement information of the PRU is also composed of measurement information over continuous time.

[0353] For example, the target measurement information of the terminal is composed of measurement information within a time window, and the measurement information of the PRU is also composed of measurement information within a time window.

[0354] In some embodiments, the auxiliary dataset is associated with at least one of the first indication information and the second indication information. In other words, the auxiliary dataset is associated with at least one of the network-side configuration indicated by the first indication information and the measurement configuration indicated by the second indication information.

[0355] Optionally, the auxiliary dataset is associated with at least one of the first indication information and the second indication information, including:

[0356] The measurement information in the auxiliary dataset is associated with at least one of the first indication information and the second indication information, or in other words, the measurement information in the auxiliary dataset is associated with at least one of the network-side configuration indicated by the first indication information and the measurement configuration indicated by the second indication information. For example, the auxiliary dataset includes: measurement information obtained under the network-side configuration indicated by the first indication information, and / or measurement information obtained by the PRU based on the measurement configuration indicated by the second indication information.

[0357] In some embodiments, before the terminal receives the second information from the network-side device, the method 200 further includes:

[0358] The terminal receives third indication information from the network-side device, wherein the third indication information is used to instruct or request the terminal to obtain the positioning assistance information or the assistance dataset; or

[0359] The terminal sends a fourth indication message to the network-side device, wherein the fourth indication message is used to instruct or request the network-side device to obtain the positioning assistance information or the assistance dataset.

[0360] That is, the location assistance information or assistance dataset can be obtained by the terminal based on the instructions of the network-side device, or it can be obtained by the network-side device based on the instructions or requests of the terminal.

[0361] In summary, the terminal can send first information to the network-side device. This first information includes first indication information and / or second indication information. The first indication information indicates at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the AI ​​unit. This allows the network-side device to obtain corresponding positioning assistance information or auxiliary datasets based on the network-side configuration and provide this information to the terminal for AI unit inference or training, thereby ensuring AI unit performance. The second indication information indicates the measurement configuration used by the terminal to obtain the target measurement information. Based on this second indication information, the network-side device can determine the measurement configuration used by the terminal to obtain the target measurement information. Furthermore, the network-side device can obtain PRU measurement information based on this measurement configuration for AI unit supervision, which helps ensure AI unit performance.

[0362] The positioning method provided in this application can be executed by a wireless communication device. This application uses a wireless communication device executing the positioning method as an example to illustrate the wireless communication device provided in this application.

[0363] This application provides a wireless communication device. As an example, the wireless communication device may be a communication equipment or a component within a communication equipment, such as a chip. The communication equipment may be a terminal, a network-side device, or a server, etc. Exemplarily, the terminal may include, but is not limited to, the type of terminal 11 listed above, and the network-side device may include, but is not limited to, the type of network-side device 12 listed above. This application does not impose specific limitations.

[0364] The wireless communication device includes a receiving module, a transmitting module, and a processing module. These modules can be implemented in software or hardware. When implemented in hardware, the processing module can be implemented by a processor. For example, the processor can include general-purpose processors, special-purpose processors, such as a Central Processing Unit (CPU), microprocessor, Digital Signal Processor (DSP), Artificial Intelligence (AI) processor, Graphics Processing Unit (GPU), Application Specific Integrated Circuit (ASIC), Network Processor (NP), Field Programmable Gate Array (FPGA), or other programmable logic devices, gate circuits, transistors, discrete hardware components, etc. The receiving and transmitting modules can be implemented by a communication interface, which can include one or more of the following: transceiver, pins, circuits, bus, radio frequency unit, etc.

[0365] For details, see Figure 7 When the wireless communication device is a terminal or a component within a terminal, the wireless communication device 500 includes:

[0366] The sending module 510 is configured to send first information to a network-side device, the first information including at least one of the following:

[0367] The first indication information is used to indicate at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit.

[0368] The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information;

[0369] The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

[0370] In some embodiments, the network-side configuration includes at least one of the following:

[0371] Configuration information for the positioning reference signal;

[0372] Beam configuration;

[0373] Grouping information for location assistance;

[0374] Grouping information for auxiliary datasets.

[0375] In some embodiments, the first indication information includes an association identifier, which is used to indicate part or all of the network-side configuration.

[0376] In some embodiments, the association identifier is used to indicate that some or all of the network-side configuration includes:

[0377] The association identifier is used to indicate at least one of the following network-side configurations:

[0378] Location information of at least one TRP;

[0379] At least one TRP associated with line-of-sight information;

[0380] The bandwidth information of the positioning reference signal;

[0381] First time window information is used to indicate the time window corresponding to the positioning reference signal;

[0382] Frequency information of the location reference signal;

[0383] Aggregation indication information is used to indicate whether to aggregate measurement information of positioning reference signals from multiple frequency points for training or supervision of the AI ​​unit;

[0384] Beam configuration.

[0385] In some embodiments, the measurement configuration includes at least one of the following:

[0386] The measurement type used by the terminal to acquire the target measurement information;

[0387] The type of target measurement information;

[0388] The composition of the target measurement information;

[0389] The beam configuration used to obtain the target measurement information.

[0390] In some embodiments, the second indication information includes a measurement type indication, which indicates that the measurement type associated with the target measurement information is a channel path-based measurement type or a sampling point-based measurement type.

[0391] In some embodiments, the second indication information includes a measurement composition indication, which indicates at least one of the following:

[0392] The time unit associated with the target measurement information can be continuous or discontinuous;

[0393] The time units associated with the target measurement information are the time units corresponding to the K strongest powers, where K is a positive integer;

[0394] The target measurement information includes the reporting granularity of time information;

[0395] The number of processed sampling samples corresponding to the target measurement information; whether the target measurement information includes direct trajectory indication information;

[0396] Does the target measurement information include power information?

[0397] Does the target measurement information include phase information?

[0398] In some embodiments, the beam configuration includes at least one of the following:

[0399] Beam index;

[0400] Identification information for positioning reference signals;

[0401] Community signage;

[0402] Community list identifier;

[0403] Area identification;

[0404] The center angle of the beam;

[0405] Transformation parameters from the local coordinate system (LCS) to the global coordinate system (GCS);

[0406] ARP identifier for antenna receiver point;

[0407] Frequency domain information;

[0408] Beam shape configuration.

[0409] In some embodiments, the beamform configuration includes at least one of the following:

[0410] Antenna spacing, number of antennas, and antenna direction information.

[0411] In some embodiments, the beamform configuration includes receiving the power response of the beam at a first angle or a set of first angles; or...

[0412] The beamform configuration includes the relative power response of multiple receiving beams at a first angle or a set of first angles.

[0413] In some embodiments, the beamform configuration includes the power response of a positioning reference signal at a first angle or a set of first angles, or...

[0414] The beamform configuration includes the relative power response of multiple positioning reference signals at a first angle or a set of first angles.

[0415] In some embodiments, the beam configuration used to acquire the target measurement information includes the beam configuration used by the terminal to receive the target positioning reference signal, or the beam configuration used by the terminal to transmit the target positioning reference signal, wherein the target measurement information is associated with the target positioning reference signal.

[0416] In some embodiments, the beam configuration used by the terminal to receive the target positioning reference signal includes at least one of the following:

[0417] Receive beam index;

[0418] Send beam index;

[0419] The receiving mode indicator is used to indicate whether multiple receiving beams are used to acquire the target measurement information;

[0420] Beam indication information, used to indicate multiple receiving beams that receive the target positioning reference signal;

[0421] Antenna indication information, used to indicate at least one of receiving the target positioning reference signal using an antenna and receiving the target positioning reference signal using an antenna port.

[0422] In some embodiments, the measurement configuration is associated with at least one of the following:

[0423] At least one TRP associated with the target measurement information;

[0424] The bandwidth information of the positioning reference signal associated with the target measurement information;

[0425] The first time window information associated with the target measurement information, wherein the first time reference information is used to indicate the time window corresponding to the positioning reference signal;

[0426] The frequency point information of the positioning reference signal associated with the target measurement information;

[0427] The aggregation indication information associated with the target measurement information is used to indicate whether to aggregate positioning assistance information from multiple frequency points for training or supervision of the AI ​​unit.

[0428] The target measurement information is associated with the line-of-sight information.

[0429] In some embodiments, the first indication information is associated with at least one of the following:

[0430] At least one community identifier;

[0431] At least one cell list identifier;

[0432] At least one area identifier;

[0433] At least one configuration identifier is used to indicate configuration information for at least one on-demand positioning reference signal;

[0434] At least one target localization aid;

[0435] Configuration information for at least one target positioning reference signal;

[0436] At least one beam configuration;

[0437] At least one auxiliary dataset.

[0438] In some embodiments, the first indication information is associated with the target measurement information.

[0439] In some embodiments, the device 500 further includes:

[0440] A receiving module is configured to receive second information from a network-side device, the second information including positioning assistance information or assistance dataset;

[0441] The positioning assistance information includes at least one of the following:

[0442] Configuration information for the positioning reference signal;

[0443] The first measurement information includes measurement information acquired by at least one PRU under the network-side configuration;

[0444] The second measurement information includes measurement information acquired by at least one PRU based on the measurement configuration;

[0445] Each data unit of the auxiliary dataset includes at least one of the following:

[0446] Measurement information; location-related information associated with the measurement information;

[0447] The timestamp information associated with the measurement information;

[0448] The timestamp information associated with the location-related information.

[0449] In some embodiments, the positioning assistance information is associated with at least one of the first indication information and the second indication information; or

[0450] The auxiliary dataset is associated with at least one of the first indication information and the second indication information.

[0451] In some embodiments, the location assistance information associated with at least one of the first indication information and the second indication information includes at least one of the following:

[0452] The configuration information of the positioning reference signal is associated with the first indication information;

[0453] The target positioning reference signal is associated with the first indication information, wherein the target positioning reference signal is a positioning reference signal associated with the target measurement information;

[0454] The measurement configuration associated with the second measurement information matches the measurement configuration associated with the target measurement information.

[0455] In some embodiments, the positioning assistance information includes positioning assistance information used for training, inference, or supervision of the AI ​​unit; or,

[0456] The auxiliary dataset includes auxiliary datasets used for training or testing the AI ​​unit.

[0457] In some embodiments, the device 500 further includes:

[0458] A receiving module is configured to receive third indication information from the network-side device, wherein the third indication information is used to instruct or request the terminal to obtain the location assistance information or the assistance dataset; or

[0459] The sending module 510 is further configured to: send a fourth indication message to the network-side device to instruct or request the network-side device to obtain the monitoring of the positioning assistance information or the assistance dataset.

[0460] In some embodiments, the target measurement information includes at least one of the following:

[0461] The impact response information of the measured channel or positioning reference signal;

[0462] The time delay power spectrum information of the measured channel or positioning reference signal;

[0463] The time delay spectrum information of the measured positioning reference signal;

[0464] Multipath measurement information of the measured positioning reference signal;

[0465] The measurement information of the positioning reference signal obtained from multiple sampling points.

[0466] See Figure 8 When the wireless communication device is a network-side device or a component within a network-side device, the wireless communication device 600 includes:

[0467] The receiving module 610 is configured to receive first information from the terminal, the first information including at least one of the following:

[0468] The first indication information is used to indicate at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit.

[0469] The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information;

[0470] The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

[0471] In some embodiments, the network-side configuration includes at least one of the following:

[0472] Configuration information for the positioning reference signal;

[0473] Beam configuration;

[0474] Grouping information for location assistance;

[0475] Grouping information for auxiliary datasets.

[0476] In some embodiments, the first indication information includes an association identifier, which is used to indicate part or all of the network-side configuration.

[0477] In some embodiments, the association identifier is used to indicate that some or all of the network-side configuration includes:

[0478] The association identifier is used to indicate at least one of the following network-side configurations:

[0479] Location information of at least one TRP;

[0480] At least one TRP associated with line-of-sight information;

[0481] The bandwidth information of the positioning reference signal;

[0482] First time window information is used to indicate the time window corresponding to the positioning reference signal;

[0483] Frequency information of the location reference signal;

[0484] Aggregation indication information is used to indicate whether to aggregate measurement information of positioning reference signals from multiple frequency points for training or supervision of the AI ​​unit;

[0485] Beam configuration.

[0486] In some embodiments, the measurement configuration includes at least one of the following:

[0487] The measurement type used by the terminal to acquire the target measurement information;

[0488] The type of target measurement information;

[0489] The composition of the target measurement information;

[0490] The beam configuration used to obtain the target measurement information.

[0491] In some embodiments, the second indication information includes a measurement type indication, which indicates that the measurement type associated with the target measurement information is a channel path-based measurement type or a sampling point-based measurement type.

[0492] In some embodiments, the second indication information includes a measurement composition indication, which indicates at least one of the following:

[0493] The time unit associated with the target measurement information can be continuous or discontinuous;

[0494] The time units associated with the target measurement information are the time units corresponding to the K strongest powers, where K is a positive integer;

[0495] The target measurement information includes the reporting granularity of time information;

[0496] The number of processed sampling samples corresponding to the target measurement information; whether the target measurement information includes direct trajectory indication information;

[0497] Does the target measurement information include power information?

[0498] Does the target measurement information include phase information?

[0499] In some embodiments, the beam configuration includes at least one of the following:

[0500] Beam index;

[0501] Identification information for positioning reference signals;

[0502] Community signage;

[0503] Community list identifier;

[0504] Area identification;

[0505] The center angle of the beam;

[0506] Transformation parameters from the local coordinate system (LCS) to the global coordinate system (GCS);

[0507] ARP identifier for antenna receiver point;

[0508] Frequency domain information;

[0509] Beam shape configuration.

[0510] In some embodiments, the beamform configuration includes at least one of the following:

[0511] Antenna spacing, number of antennas, and antenna direction information.

[0512] In some embodiments, the beamform configuration includes receiving the power response of the beam at a first angle or a set of first angles; or...

[0513] The beamform configuration includes the relative power response of multiple receiving beams at a first angle or a set of first angles.

[0514] In some embodiments, the beamform configuration includes the power response of a positioning reference signal at a first angle or a set of first angles, or...

[0515] The beamform configuration includes the relative power response of multiple positioning reference signals at a first angle or a set of first angles.

[0516] In some embodiments, the beam configuration used to acquire the target measurement information includes the beam configuration used by the terminal to receive the target positioning reference signal, or the beam configuration used by the terminal to transmit the target positioning reference signal, wherein the target measurement information is associated with the target positioning reference signal.

[0517] In some embodiments, the beam configuration used by the terminal to receive the target positioning reference signal includes at least one of the following:

[0518] Receive beam index;

[0519] Send beam index;

[0520] The receiving mode indicator is used to indicate whether multiple receiving beams are used to acquire the target measurement information;

[0521] Beam indication information, used to indicate multiple receiving beams that receive the target positioning reference signal;

[0522] Antenna indication information, used to indicate at least one of receiving the target positioning reference signal using an antenna and receiving the target positioning reference signal using an antenna port.

[0523] In some embodiments, the measurement configuration is associated with at least one of the following:

[0524] At least one TRP associated with the target measurement information;

[0525] The bandwidth information of the positioning reference signal associated with the target measurement information;

[0526] The first time window information associated with the target measurement information, wherein the first time reference information is used to indicate the time window corresponding to the positioning reference signal;

[0527] The frequency point information of the positioning reference signal associated with the target measurement information;

[0528] The aggregation indication information associated with the target measurement information is used to indicate whether to aggregate positioning assistance information from multiple frequency points for training or supervision of the AI ​​unit.

[0529] The target measurement information is associated with the line-of-sight information.

[0530] In some embodiments, the first indication information is associated with at least one of the following:

[0531] At least one community identifier;

[0532] At least one cell list identifier;

[0533] At least one area identifier;

[0534] At least one configuration identifier is used to indicate configuration information for at least one on-demand positioning reference signal;

[0535] At least one target localization aid;

[0536] Configuration information for at least one target positioning reference signal;

[0537] At least one beam configuration;

[0538] At least one auxiliary dataset.

[0539] In some embodiments, the first indication information is associated with the target measurement information.

[0540] In some embodiments, the device 600 further includes:

[0541] The sending module is used to send second information to the terminal, the second information including positioning assistance information or assistance dataset;

[0542] The positioning assistance information includes at least one of the following:

[0543] Configuration information for the positioning reference signal;

[0544] The first measurement information includes measurement information acquired by at least one PRU under the network-side configuration;

[0545] The second measurement information includes measurement information acquired by at least one PRU based on the measurement configuration;

[0546] Each data unit of the auxiliary dataset includes at least one of the following:

[0547] Measurement information; location-related information associated with the measurement information;

[0548] The timestamp information associated with the measurement information;

[0549] The timestamp information associated with the location-related information.

[0550] In some embodiments, the auxiliary dataset comes from at least one of the following devices: the network-side device, at least one terminal, and at least one PRU.

[0551] In some embodiments, the positioning assistance information is associated with at least one of the first indication information and the second indication information; or

[0552] The auxiliary dataset is associated with at least one of the first indication information and the second indication information.

[0553] In some embodiments, the location assistance information associated with at least one of the first indication information and the second indication information includes at least one of the following:

[0554] The configuration information of the positioning reference signal is associated with the first indication information;

[0555] The target positioning reference signal is associated with the first indication information, wherein the target positioning reference signal is a positioning reference signal associated with the target measurement information;

[0556] The measurement configuration associated with the second measurement information matches the measurement configuration associated with the target measurement information.

[0557] In some embodiments, the positioning assistance information includes positioning assistance information used for training, inference, or supervision of the AI ​​unit; or,

[0558] The auxiliary dataset includes auxiliary datasets used for training or testing the AI ​​unit.

[0559] In some embodiments, the target measurement information includes at least one of the following:

[0560] The impact response information of the measured channel or positioning reference signal;

[0561] The measured time delay power spectrum information of the channel or positioning reference signal;

[0562] The time delay spectrum information of the measured positioning reference signal;

[0563] Multipath measurement information of the measured positioning reference signal;

[0564] The measurement information of the positioning reference signal obtained from multiple sampling points.

[0565] Therefore, in this embodiment, the terminal can send first information to the network-side device. This first information includes first indication information and / or second indication information. The first indication information indicates at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the AI ​​unit. This allows the network-side device to obtain corresponding positioning assistance information or auxiliary datasets based on the network-side configuration and provide this information to the terminal for inference or training of the AI ​​unit, thereby ensuring the performance of the AI ​​unit. The second indication information indicates the measurement configuration used by the terminal to obtain the target measurement information. Based on this second indication information, the network-side device can determine the measurement configuration used by the terminal to obtain the target measurement information. Furthermore, the network-side device can obtain the measurement information of the PRU based on this measurement configuration for the supervision of the AI ​​unit, which helps ensure the performance of the AI ​​unit.

[0566] The wireless communication device provided in this application embodiment can achieve... Figure 6 The various processes implemented in the method embodiments achieve the same technical effect, and will not be described again here to avoid repetition.

[0567] like Figure 9 As shown, this application embodiment also provides a communication device 800, including a processor 801 and a memory 802. The memory 802 stores programs or instructions that can run on the processor 801. For example, when the communication device 800 is a terminal, the program or instructions executed by the processor 801 implement the various steps performed by the terminal in the above-described positioning method embodiment, and achieve the same technical effect. When the communication device 800 is a network-side device, the program or instructions executed by the processor 801 implement the various steps performed by the network-side device in the above-described positioning method embodiment, and achieve the same technical effect.

[0568] This application embodiment also provides a terminal, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement, for example... Figure 6 The steps in the method embodiment shown are illustrated. This terminal embodiment corresponds to the above-described terminal-side method embodiment. All implementation processes and methods of the above-described method embodiments can be applied to this terminal embodiment and achieve the same technical effect. The terminal can be... Figure 7The wireless communication device shown. Specifically, Figure 10 A schematic diagram of the hardware structure of a terminal to implement an embodiment of this application.

[0569] The terminal 900 includes, but is not limited to, at least some of the following components: radio frequency unit 901, network module 902, audio output unit 903, input unit 904, sensor 905, display unit 906, user input unit 907, interface unit 908, memory 909, and processor 910.

[0570] Those skilled in the art will understand that the terminal 900 may also include a power supply (such as a battery) for supplying power to various components. The power supply may be logically connected to the processor 910 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system. Figure 10 The terminal structure shown does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown, or combine certain components, or have different component arrangements, which will not be elaborated here.

[0571] It should be understood that, in this embodiment, the input unit 904 may include a graphics processor 9041 and a microphone 9042. The graphics processor 9041 processes image data of still images or videos obtained by an image capture device (such as a camera) in video capture mode or image capture mode. The display unit 906 may include a display panel 9061, which may be configured in the form of a liquid crystal display, an organic light-emitting diode, or the like. The user input unit 907 includes at least one of a touch panel 9071 and other input devices 9072. The touch panel 9071 is also called a touch screen. The touch panel 9071 may include a touch detection device and a touch controller. Other input devices 9072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, power buttons, etc.), trackballs, mice, and joysticks, which will not be described in detail here.

[0572] In this embodiment, after receiving downlink data from the network-side device, the radio frequency unit 901 can transmit it to the processor 910 for processing; in addition, the radio frequency unit 901 can send uplink data to the network-side device. Typically, the radio frequency unit 901 includes, but is not limited to, antennas, amplifiers, transceivers, couplers, low-noise amplifiers, duplexers, etc.

[0573] The memory 909 can be used to store software programs or instructions, as well as various data. The memory 909 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 909 may include volatile memory or non-volatile memory. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 909 in the embodiments of this application includes, but is not limited to, these and any other suitable types of memory.

[0574] Processor 910 may include one or more processing units; optionally, processor 910 integrates an application processor and a modem processor, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into processor 910.

[0575] In some implementations, the radio frequency unit 901 is used for:

[0576] Send first information to the network-side device, the first information including at least one of the following:

[0577] The first indication information is used to indicate at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit.

[0578] The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information;

[0579] The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

[0580] Therefore, in this embodiment, the terminal can send first information to the network-side device. This first information includes first indication information and / or second indication information. The first indication information indicates at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the AI ​​unit. This allows the network-side device to obtain corresponding positioning assistance information or auxiliary datasets based on the network-side configuration and provide this information to the terminal for inference or training of the AI ​​unit, thereby ensuring the performance of the AI ​​unit. The second indication information indicates the measurement configuration used by the terminal to obtain the target measurement information. Based on this second indication information, the network-side device can determine the measurement configuration used by the terminal to obtain the target measurement information. Furthermore, the network-side device can obtain the measurement information of the PRU based on this measurement configuration for the supervision of the AI ​​unit, which helps ensure the performance of the AI ​​unit.

[0581] It is understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the method embodiment and achieve the same or corresponding technical effect. To avoid repetition, it will not be described again here.

[0582] This application embodiment also provides a network-side device, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement, for example... Figure 6 The steps of the method embodiment shown are illustrated. This network-side device embodiment corresponds to the above-described network-side device method embodiment. All implementation processes and methods of the above-described method embodiments can be applied to this network-side device embodiment and can achieve the same technical effect.

[0583] Specifically, embodiments of this application also provide a network-side device, which can be... Figure 8 The wireless communication device shown. (As shown) Figure 11As shown, the network-side device 1000 includes: an antenna 1001, a radio frequency (RF) device 1002, a baseband device 1003, a processor 1004, and a memory 1005. The antenna 1001 is connected to the RF device 1002. In the uplink direction, the RF device 1002 receives information through the antenna 1001 and transmits the received information to the baseband device 1003 for processing. In the downlink direction, the baseband device 1003 processes the information to be transmitted and sends it to the RF device 1002. The RF device 1002 processes the received information and transmits it through the antenna 1001.

[0584] The method executed by the network-side device in the above embodiments can be implemented in the baseband device 1003, which includes a baseband processor.

[0585] The baseband device 1003 may include, for example, at least one baseband board on which multiple chips are disposed, such as... Figure 11 As shown, one of the chips is, for example, a baseband processor, which is connected to the memory 1005 via a bus interface to call the program in the memory 1005 and execute the network device operation shown in the above method embodiment.

[0586] The network-side device may also include a network interface 1006, such as a Common Public Radio Interface (CPRI).

[0587] Specifically, the network-side device 1000 in this application embodiment further includes: instructions or programs stored in memory 1005 and executable on processor 1004, wherein processor 1004 calls the instructions or programs in memory 1005 to execute. Figure 8 The methods executed by each module shown achieve the same technical effect, and to avoid repetition, they will not be described in detail here.

[0588] Specifically, embodiments of this application also provide a network-side device. For example... Figure 12 As shown, the network-side device 1100 includes: a processor 1101, a network interface 1102, and a memory 1103. This network-side device can be... Figure 8 The wireless communication device shown. The network interface 1102 is, for example, a common public radio interface (CPRI).

[0589] Specifically, the network-side device 1100 in this application embodiment further includes: instructions or programs stored in memory 1103 and executable on processor 1101, wherein processor 1101 calls the instructions or programs in memory 1103 to execute. Figure 8The methods executed by each module shown achieve the same technical effect, and to avoid repetition, they will not be described in detail here.

[0590] This application embodiment also provides a readable storage medium storing a program or instructions that, when executed by a processor, implement the above-described functionality. Figure 6 The various processes of the method embodiments shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0591] The processor mentioned above is the processor in the terminal described in the above embodiments. 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. In some examples, the readable storage medium may be a non-transient readable storage medium.

[0592] This application embodiment also provides a chip, the chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the above. Figure 6 The various processes of the method embodiments shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0593] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0594] This application embodiment also provides a computer program / program product, which is stored in a storage medium and executed by at least one processor to implement the above. Figure 6 The various processes of the method embodiments shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0595] This application also provides a wireless communication system, including: a terminal and a network-side device. The terminal can be used to perform the steps performed by the terminal in the positioning method described above, and the network-side device can be used to perform the steps performed by the network-side device in the positioning method described above.

[0596] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0597] From 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 computer software products plus necessary general-purpose hardware platforms, and of course, they can also be implemented by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes several instructions to cause the terminal or network-side device to execute the methods described in the various embodiments of this application.

[0598] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other implementations under the guidance of this application without departing from the spirit and scope of the claims. All of these implementations are within the protection scope of this application.

Claims

1. A positioning method, characterized in that, include: The terminal sends first information to the network-side device, the first information including at least one of the following: The first indication information is used to indicate at least one of the following: the network-side configuration expected by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit; The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information; The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

2. The method according to claim 1, characterized in that, The network-side configuration includes at least one of the following: Configuration information for the positioning reference signal; Beam configuration; Grouping information for location assistance; Grouping information for auxiliary datasets.

3. The method according to claim 1 or 2, characterized in that, The first indication information includes an association identifier, which is used to indicate part or all of the network-side configuration.

4. The method according to claim 3, characterized in that, The association identifier is used to indicate that some or all of the network-side configuration includes: The association identifier is used to indicate at least one of the following network-side configurations: Location information of at least one TRP; At least one TRP associated with line-of-sight information; The bandwidth information of the positioning reference signal; First time window information is used to indicate the time window corresponding to the positioning reference signal; Frequency information of the location reference signal; Aggregation indication information is used to indicate whether to aggregate measurement information of positioning reference signals from multiple frequency points for training or supervision of the AI ​​unit; Beam configuration.

5. The method according to any one of claims 1-4, characterized in that, The measurement configuration includes at least one of the following: The measurement type used by the terminal to acquire the target measurement information; The type of target measurement information; The composition of the target measurement information; The beam configuration used to obtain the target measurement information.

6. The method according to claim 5, characterized in that, The second indication information includes a measurement type indication, which indicates that the measurement type associated with the target measurement information is either a channel path-based measurement type or a sampling point-based measurement type.

7. The method according to claim 5 or 6, characterized in that, The second indication information includes a measurement composition indication, which indicates at least one of the following: The time unit associated with the target measurement information can be continuous or discontinuous; The time units associated with the target measurement information are the time units corresponding to the K strongest powers, where K is a positive integer; The target measurement information includes the reporting granularity of time information; The number of processed sampling samples corresponding to the target measurement information; Does the target measurement information include direct trajectory indication information? Does the target measurement information include power information? Does the target measurement information include phase information? 8. The method according to any one of claims 4-7, characterized in that, The beam configuration includes at least one of the following: Beam index; Identification information for positioning reference signals; Community signage; Community list identifier; Area identification; The center angle of the beam; Transformation parameters from the local coordinate system (LCS) to the global coordinate system (GCS); ARP identifier for antenna receiver point; Frequency domain information; Beam shape configuration.

9. The method according to claim 8, characterized in that, The beam shape configuration includes at least one of the following: Antenna spacing, number of antennas, and antenna direction information.

10. The method according to claim 8, characterized in that, The beam shape configuration includes the power response of the received beam at a first angle or a set of first angles; or... The beamform configuration includes the relative power response of multiple receiving beams at a first angle or a set of first angles.

11. The method according to claim 8, characterized in that, The beamform configuration includes the power response of the positioning reference signal at a first angle or a set of first angles, or... The beamform configuration includes the relative power response of multiple positioning reference signals at a first angle or a set of first angles.

12. The method according to any one of claims 5-11, characterized in that, The beam configuration used to acquire the target measurement information includes the beam configuration used by the terminal to receive the target positioning reference signal, or the beam configuration used by the terminal to send the target positioning reference signal, wherein the target measurement information is associated with the target positioning reference signal.

13. The method according to claim 12, characterized in that, The beam configuration used by the terminal to receive the target positioning reference signal includes at least one of the following: Receive beam index; Send beam index; The receiving mode indicator is used to indicate whether multiple receiving beams are used to acquire the target measurement information; Beam indication information, used to indicate multiple receiving beams that receive the target positioning reference signal; Antenna indication information, used to indicate at least one of receiving the target positioning reference signal using an antenna and receiving the target positioning reference signal using an antenna port.

14. The method according to any one of claims 1-13, characterized in that, The measurement configuration is associated with at least one of the following: At least one TRP associated with the target measurement information; The bandwidth information of the positioning reference signal associated with the target measurement information; The first time window information associated with the target measurement information, wherein the first time reference information is used to indicate the time window corresponding to the positioning reference signal; The frequency point information of the positioning reference signal associated with the target measurement information; The aggregation indication information associated with the target measurement information is used to indicate whether to aggregate positioning assistance information from multiple frequency points for training or supervision of the AI ​​unit. The target measurement information is associated with the line-of-sight information.

15. The method according to any one of claims 1-14, characterized in that, The first indication information is associated with at least one of the following: At least one community identifier; At least one cell list identifier; At least one area identifier; At least one configuration identifier is used to indicate configuration information for at least one on-demand positioning reference signal; At least one target localization aid; Configuration information for at least one target positioning reference signal; At least one beam configuration; At least one auxiliary dataset.

16. The method according to any one of claims 1-14, characterized in that, The first indication information is associated with the target measurement information.

17. The method according to any one of claims 1-16, characterized in that, The method further includes: The terminal receives second information from the network-side device, the second information including positioning assistance information or assistance dataset; The positioning assistance information includes at least one of the following: Configuration information for the positioning reference signal; The first measurement information includes measurement information obtained by at least one positioning reference unit (PRU) under the network-side configuration; The second measurement information includes measurement information acquired by at least one PRU based on the measurement configuration; Each data unit of the auxiliary dataset includes at least one of the following: Measurement information; location-related information associated with the measurement information; The timestamp information associated with the measurement information; The timestamp information associated with the location-related information.

18. The method according to claim 17, characterized in that, The positioning assistance information is associated with at least one of the first indication information and the second indication information; or The auxiliary dataset is associated with at least one of the first indication information and the second indication information.

19. The method according to claim 18, characterized in that, The location assistance information associated with at least one of the first indication information and the second indication information includes at least one of the following: The configuration information of the positioning reference signal is associated with the first indication information; The target positioning reference signal is associated with the first indication information, wherein the target positioning reference signal is a positioning reference signal associated with the target measurement information; The measurement configuration associated with the second measurement information matches the measurement configuration associated with the target measurement information.

20. The method according to any one of claims 17-19, characterized in that, The positioning assistance information includes positioning assistance information used for training, inference, or supervision of the AI ​​unit; or, The auxiliary dataset includes auxiliary datasets used for training or testing the AI ​​unit.

21. The method according to any one of claims 17-20, characterized in that, The method further includes: The terminal receives third indication information from the network-side device, wherein the third indication information is used to instruct or request the terminal to obtain the location assistance information or the assistance dataset; or The terminal sends a fourth instruction message to the network-side device to instruct or request the network-side device to obtain the monitoring of the positioning assistance information or the assistance dataset.

22. The method according to any one of claims 1-21, characterized in that, The target measurement information includes at least one of the following: The impact response information of the measured channel or positioning reference signal; The time delay power spectrum information of the measured channel or positioning reference signal; The time delay spectrum information of the measured positioning reference signal; Multipath measurement information of the measured positioning reference signal; The measurement information of the positioning reference signal obtained from multiple sampling points.

23. A positioning method, characterized in that, include: The network-side device receives first information from the terminal, the first information including at least one of the following: The first indication information is used to indicate at least one of the following: the network-side configuration expected by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit; The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information; The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

24. The method according to claim 23, characterized in that, The network-side configuration includes at least one of the following: Configuration information for the positioning reference signal; Beam configuration; Grouping information for location assistance; Grouping information for auxiliary datasets.

25. The method according to claim 23 or 24, characterized in that, The first indication information includes an association identifier, which is used to indicate part or all of the network-side configuration.

26. The method according to claim 25, characterized in that, The association identifier is used to indicate that some or all of the network-side configuration includes: The association identifier is used to indicate at least one of the following network-side configurations: Location information of at least one TRP; At least one TRP associated with line-of-sight information; The bandwidth information of the positioning reference signal; First time window information is used to indicate the time window corresponding to the positioning reference signal; Frequency information of the location reference signal; Aggregation indication information is used to indicate whether to aggregate measurement information of positioning reference signals from multiple frequency points for training or supervision of the AI ​​unit; Beam configuration.

27. The method according to any one of claims 23-26, characterized in that, The measurement configuration includes at least one of the following: The measurement type used by the terminal to acquire the target measurement information; The type of target measurement information; The composition of the target measurement information; The beam configuration used to obtain the target measurement information.

28. The method according to claim 27, characterized in that, The second indication information includes a measurement type indication, which indicates that the measurement type associated with the target measurement information is either a channel path-based measurement type or a sampling point-based measurement type.

29. The method according to claim 27 or 28, characterized in that, The second indication information includes a measurement composition indication, which indicates at least one of the following: The time unit associated with the target measurement information can be continuous or discontinuous; The time units associated with the target measurement information are the time units corresponding to the K strongest powers, where K is a positive integer; The target measurement information includes the reporting granularity of time information; The number of processed sampling samples corresponding to the target measurement information; Does the target measurement information include direct trajectory indication information? Does the target measurement information include power information? Does the target measurement information include phase information? 30. The method according to any one of claims 27-29, characterized in that, The beam configuration includes at least one of the following: Beam index; Identification information for positioning reference signals; Community signage; Community list identifier; Area identification; The center angle of the beam; Transformation parameters from the local coordinate system (LCS) to the global coordinate system (GCS); ARP identifier for antenna receiver point; Frequency domain information; Beam shape configuration.

31. The method according to claim 30, characterized in that, The beam shape configuration includes at least one of the following: Antenna spacing, number of antennas, and antenna direction information.

32. The method according to claim 30, characterized in that, The beam shape configuration includes the power response of the received beam at a first angle or a set of first angles; or... The beamform configuration includes the relative power response of multiple receiving beams at a first angle or a set of first angles.

33. The method according to claim 30, characterized in that, The beamform configuration includes the power response of the positioning reference signal at a first angle or a set of first angles, or... The beamform configuration includes the relative power response of multiple positioning reference signals at a first angle or a set of first angles.

34. The method according to any one of claims 27-33, characterized in that, The beam configuration used to acquire the target measurement information includes the beam configuration used by the terminal to receive the target positioning reference signal, or the beam configuration used by the terminal to send the target positioning reference signal, wherein the target measurement information is associated with the target positioning reference signal.

35. The method according to claim 34, characterized in that, The beam configuration used by the terminal to receive the target positioning reference signal includes at least one of the following: Receive beam index; Send beam index; The receiving mode indicator is used to indicate whether multiple receiving beams are used to acquire the target measurement information; Beam indication information, used to indicate multiple receiving beams that receive the target positioning reference signal; Antenna indication information, used to indicate at least one of receiving the target positioning reference signal using an antenna and receiving the target positioning reference signal using an antenna port.

36. The method according to any one of claims 23-35, characterized in that, The measurement configuration is associated with at least one of the following: At least one TRP associated with the target measurement information; The bandwidth information of the positioning reference signal associated with the target measurement information; The first time window information associated with the target measurement information, wherein the first time reference information is used to indicate the time window corresponding to the positioning reference signal; The frequency point information of the positioning reference signal associated with the target measurement information; The aggregation indication information associated with the target measurement information is used to indicate whether to aggregate positioning assistance information from multiple frequency points for training or supervision of the AI ​​unit. The target measurement information is associated with the line-of-sight information.

37. The method according to any one of claims 23-36, characterized in that, The first indication information is associated with at least one of the following: At least one community identifier; At least one cell list identifier; At least one area identifier; At least one configuration identifier is used to indicate configuration information for at least one on-demand positioning reference signal; At least one target localization aid; Configuration information for at least one target positioning reference signal; At least one beam configuration; At least one auxiliary dataset.

38. The method according to any one of claims 23-37, characterized in that, The first indication information is associated with the target measurement information.

39. The method according to any one of claims 23-38, characterized in that, The method further includes: The network-side device sends second information to the terminal, the second information including location assistance information or auxiliary dataset; The positioning assistance information includes at least one of the following: Configuration information for the positioning reference signal; The first measurement information includes measurement information obtained by at least one positioning reference unit (PRU) under the network-side configuration; The second measurement information includes measurement information acquired by at least one PRU based on the measurement configuration; Each data unit of the auxiliary dataset includes at least one of the following: Measurement information; Location-related information associated with the measurement information; The timestamp information associated with the measurement information; The timestamp information associated with the location-related information.

40. The method according to claim 39, characterized in that, The auxiliary dataset comes from at least one of the following devices: the network-side device, at least one terminal, and at least one PRU.

41. The method according to claim 39 or 40, characterized in that, The positioning assistance information is associated with at least one of the first indication information and the second indication information; or The auxiliary dataset is associated with at least one of the first indication information and the second indication information.

42. The method according to claim 41, characterized in that, The location assistance information associated with at least one of the first indication information and the second indication information includes at least one of the following: The configuration information of the positioning reference signal is associated with the first indication information; The target positioning reference signal is associated with the first indication information, wherein the target positioning reference signal is a positioning reference signal associated with the target measurement information; The measurement configuration associated with the second measurement information matches the measurement configuration associated with the target measurement information.

43. The method according to any one of claims 39-42, characterized in that, The positioning assistance information includes positioning assistance information used for training, inference, or supervision of the AI ​​unit; or, The auxiliary dataset includes auxiliary datasets used for training or testing the AI ​​unit.

44. The method according to any one of claims 23-43, characterized in that, The target measurement information includes at least one of the following: The impact response information of the measured channel or positioning reference signal; The measured time delay power spectrum information of the channel or positioning reference signal; The time delay spectrum information of the measured positioning reference signal; Multipath measurement information of the measured positioning reference signal; Measurement information from multiple sampling points of the positioning reference signal.

45. A wireless communication device, characterized in that, include: The sending module is configured to send first information to a network-side device, the first information including at least one of the following: The first indication information is used to indicate at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit. The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information; The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

46. ​​The apparatus according to claim 45, characterized in that, The network-side configuration includes at least one of the following: Configuration information for the positioning reference signal; Beam configuration; Grouping information for location assistance; Grouping information for auxiliary datasets.

47. The apparatus according to claim 45 or 46, characterized in that, The measurement configuration includes at least one of the following: The measurement type used by the terminal to acquire the target measurement information; The type of target measurement information; The composition of the target measurement information; The beam configuration used to obtain the target measurement information.

48. The apparatus according to any one of claims 45-47, characterized in that, The device further includes: A receiving module is configured to receive second information from a network-side device, the second information including positioning assistance information or assistance dataset; The positioning assistance information includes at least one of the following: Configuration information for the positioning reference signal; The first measurement information includes measurement information obtained by at least one positioning reference unit (PRU) under the network-side configuration; The second measurement information includes measurement information acquired by at least one PRU based on the measurement configuration; Each data unit of the auxiliary dataset includes at least one of the following: Measurement information; Location-related information associated with the measurement information; The timestamp information associated with the measurement information; The timestamp information associated with the location-related information.

49. A wireless communication device, characterized in that, include: The receiving module is configured to receive first information from the terminal, the first information including at least one of the following: The first indication information is used to indicate at least one of the following: the network-side configuration desired by the terminal, the network-side configuration requested by the terminal, the network-side configuration associated with the target measurement information, and the network-side configuration associated with the artificial intelligence (AI) unit. The second instruction information is used to indicate the measurement configuration used by the terminal to obtain the target measurement information; The target measurement information is the measurement information used by the AI ​​unit during the training or inference phase, and the AI ​​unit is used to determine the location-related information of the terminal.

50. The apparatus according to claim 49, characterized in that, The network-side configuration includes at least one of the following: Configuration information for the positioning reference signal; Beam configuration; Grouping information for location assistance; Grouping information for auxiliary datasets.

51. The apparatus according to claim 49 or 50, characterized in that, The measurement configuration includes at least one of the following: The measurement type used by the terminal to acquire the target measurement information; The type of target measurement information; The composition of the target measurement information; The beam configuration used to obtain the target measurement information.

52. The apparatus according to any one of claims 49-51, characterized in that, The device further includes: The sending module is used to send second information to the terminal, the second information including positioning assistance information or assistance dataset; The positioning assistance information includes at least one of the following: Configuration information for the positioning reference signal; The first measurement information includes measurement information obtained by at least one positioning reference unit (PRU) under the network-side configuration; The second measurement information includes measurement information acquired by at least one PRU based on the measurement configuration; Each data unit of the auxiliary dataset includes at least one of the following: Measurement information; location-related information associated with the measurement information; The timestamp information associated with the measurement information; The timestamp information associated with the location-related information.

53. A terminal, characterized in that, It includes a processor and a memory, the memory storing a program or instructions that can run on the processor, the program or instructions being executed by the processor to implement the steps of the positioning method as described in any one of claims 1 to 22.

54. A network-side device, characterized in that, It includes a processor and a memory, the memory storing a program or instructions that can run on the processor, the program or instructions being executed by the processor to implement the steps of the method as described in any one of claims 23 to 44.

55. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions that, when executed by a processor, implement the method as claimed in any one of claims 1 to 22, or implement the steps of the method as claimed in any one of claims 23 to 44.

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