Information reporting method, device and equipment

Abstract

The invention discloses an information reporting method, device and equipment, and belongs to the field of communication, and the method comprises the steps that first equipment receives first information from second equipment; acquiring second information according to the first information and / or sending the second information to second equipment; the first information comprises at least one of the following items: the first indication information is used for indicating to report position estimation information and position measurement information; the second indication information is used for indicating to report auxiliary information; the third indication information is used for indicating the type of the reported auxiliary information; the fourth indication information is used for indicating the number of position estimation information instances and / or position measurement information instances reported at a time; the fifth indication information is used for indicating the type of the requested measurement information; the sixth indication information is used for indicating the preferred measurement information type; the seventh indication information is used for indicating at least one timed reporting granularity factor; the second information comprises at least one of the following items: M position measurement information instances; n position estimation information instances; and first auxiliary information.

Description

Technical Field

[0001] This application belongs to the field of communication technology, specifically relating to an information reporting method, apparatus, and device. Background Technology

[0002] In positioning scenarios based on Artificial Intelligence (AI) models, location management functions

[0003] The Location Management Function (LMF) can collect training datasets from nodes such as terminals, location reference units, or transmit / receive points (TRPs) for training AI models. For example, it can collect channel measurements between the terminal and the TRP, along with the corresponding terminal location coordinates. However, multiple terminals, location reference units, or TRPs in a wireless communication system can report training datasets to the LMF. This reporting method is detrimental to the management and training of AI models, thus affecting their inference performance. Therefore, how to collect location data to improve the inference performance of AI models is a pressing issue that needs to be addressed. Summary of the Invention

[0004] This application provides an information reporting method, apparatus, and device that can improve the inference performance of AI models.

[0005] Firstly, an information reporting method is provided, which includes:

[0006] The first device receives the first information from the second device;

[0007] The first device performs the first operation;

[0008] The first operation includes at least one of the following:

[0009] Obtain the second information based on the first information;

[0010] Send the second information to the second device;

[0011] The first information includes at least one of the following:

[0012] The first indication information is used to instruct the first device to report position estimation information and position measurement information;

[0013] The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device;

[0014] The third indication information is used to indicate the type of auxiliary information reported by the first device;

[0015] The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time;

[0016] The fifth indication information is used to indicate the type of measurement information requested by the second device;

[0017] The sixth indication information is used to indicate the type of measurement information preferred by the second device;

[0018] The seventh instruction information is used to indicate at least one timed reporting granularity factor;

[0019] The second information includes at least one of the following:

[0020] There are M instances of location measurement information, where M is a positive integer;

[0021] N instances of location estimation information, where N is a positive integer;

[0022] First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

[0023] In some embodiments, the location estimation information includes the location coordinates of the terminal, and the location measurement information includes measurement information between the terminal and at least one network-side device (e.g., TRP).

[0024] Secondly, an information reporting method is provided, which includes:

[0025] The second device sends the first information to the first device;

[0026] The second device receives second information from the first device;

[0027] The first information includes at least one of the following:

[0028] The first indication information is used to instruct the first device to report position estimation information and position measurement information;

[0029] The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device;

[0030] The third indication information is used to indicate the type of auxiliary information reported by the first device;

[0031] The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time;

[0032] The fifth indication information is used to indicate the type of measurement information requested by the second device;

[0033] The sixth indication information is used to indicate the type of measurement information preferred by the second device;

[0034] The seventh instruction information is used to indicate at least one timed reporting granularity factor;

[0035] The second information includes at least one of the following:

[0036] There are M instances of location measurement information, where M is a positive integer;

[0037] N instances of location estimation information, where N is a positive integer;

[0038] First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

[0039] In some embodiments, the location estimation information includes the location coordinates of the terminal, and the location measurement information includes measurement information between the terminal and at least one network-side device (e.g., TRP).

[0040] In some implementations, the third indication information is used to indicate the type of auxiliary information reported by the first device, including at least one of the following:

[0041] Configuration information of the reference signal, wherein the reference signal is used for the positioning of the terminal;

[0042] Regional related auxiliary information.

[0043] In some implementations, the configuration information of the positioning reference signal includes at least one of the following:

[0044] The signal bandwidth of the reference signal;

[0045] The index of the starting physical resource block (PRB) occupied by the reference signal;

[0046] Common reference points for resource block grids;

[0047] Reference signal resource comb size.

[0048] In some implementations, the region-related auxiliary information includes at least one of the following:

[0049] The region identifier corresponding to the valid region;

[0050] At least one list of cell identifiers;

[0051] The first association identifier for valid region associations;

[0052] Each cell identifier list includes at least one of the following:

[0053] The global cell identifier corresponding to the target cell;

[0054] The physical cell identifier corresponding to the target cell;

[0055] The absolute radio channel number (ARFCN) corresponding to the target cell;

[0056] The first association identifier associated with the target cell;

[0057] At least one positioning reference signal identifier, wherein the at least one positioning reference signal identifier is associated with a target cell;

[0058] The first associated identifier is associated with the at least one positioning reference signal identifier;

[0059] The location coordinates of the at least one Transmitter / Receiver Point (TRP).

[0060] In some implementations, the fifth indication information is used to indicate that the type of measurement information requested by the second device includes at least one of the following:

[0061] Channel sampling points, channel path.

[0062] In some implementations, the sixth indication information used to indicate the measurement information type preferred by the second device includes at least one of the following:

[0063] Channel sampling points, channel path.

[0064] In some implementations, the first information includes the third indication information, and the second information includes the first auxiliary information, wherein the first auxiliary information is auxiliary information of the type indicated by the third indication information.

[0065] In some implementations, the first information includes the fourth indication information, which indicates the number of location measurement information instances reported by the first device at one time, wherein M is equal to the number indicated by the fourth indication information, or M is less than or equal to the number indicated by the fourth indication information; or

[0066] The first information includes the fourth indication information, which is used to indicate the number of location estimation information instances reported by the first device at one time. The N is equal to the number indicated by the fourth indication information, or the N is less than or equal to the number indicated by the fourth indication information.

[0067] In some implementations, the first information includes fifth indication information, which indicates that the measurement information requested by the second device is of the channel path type, and the measurement information associated with the M location measurement information instances is of the channel path type; or

[0068] The first information includes a fifth indication information, which indicates that the measurement information requested by the second device is of the type of channel sampling point, and the measurement information associated with the M location measurement information instances is of the type of channel sampling point.

[0069] In some implementations, the first information includes sixth indication information, which indicates that the measurement information type preferred by the second device is channel path, and the measurement information type associated with the M location measurement information instances is channel path or channel sampling point; or

[0070] The first information includes a sixth indication information, which indicates that the measurement information type preferred by the second device is a channel sampling point, and the measurement information type associated with the M location measurement information instances is a channel sampling point or a channel path.

[0071] In some implementations, the seventh indication information is used to indicate a timing reporting granularity factor. When the measurement information type associated with the M location measurement information instances is a channel path or channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined based on the aforementioned timing reporting granularity factor; or

[0072] The seventh indication information is used to indicate two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel path, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the first timing reporting granularity factor among the two timing reporting granularity factors; when the measurement information type associated with the M location measurement information instances is a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the second timing reporting granularity factor among the two timing reporting granularity factors; or

[0073] The seventh indication information is used to indicate two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel path, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the second timing reporting granularity factor among the two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the first timing reporting granularity factor among the two timing reporting granularity factors.

[0074] In some implementations, M is greater than or equal to N.

[0075] In some implementations, the M instances of location measurement information and the N instances of location estimation information have a first association relationship.

[0076] In some implementations, the first association includes at least one of the following:

[0077] When M equals N, the M instances of location measurement information and the N instances of location estimation information are associated one-to-one;

[0078] When M is greater than N, the N location estimation information instances are associated one-to-one with the specific N location measurement information instances among the M location measurement information instances.

[0079] In some implementations, the first information includes eighth indication information, which is used to indicate the first association relationship; or

[0080] The second information includes a ninth indication, which is used to indicate the first association.

[0081] Thirdly, a wireless communication device is provided, which is a first device, or is disposed in a first device, the wireless communication device comprising:

[0082] The receiving module is used to receive first information from the second device;

[0083] The processing module is used to perform the first operation;

[0084] The first operation includes at least one of the following:

[0085] Obtain the second information based on the first information;

[0086] Send the second information to the second device;

[0087] The first information includes at least one of the following:

[0088] The first indication information is used to instruct the first device to report position estimation information and position measurement information;

[0089] The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device;

[0090] The third indication information is used to indicate the type of auxiliary information reported by the first device;

[0091] The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time;

[0092] The fifth indication information is used to indicate the type of measurement information requested by the second device;

[0093] The sixth indication information is used to indicate the type of measurement information preferred by the second device;

[0094] The seventh instruction information is used to indicate at least one timed reporting granularity factor;

[0095] The second information includes at least one of the following:

[0096] There are M instances of location measurement information, where M is a positive integer;

[0097] N instances of location estimation information, where N is a positive integer;

[0098] First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

[0099] Fourthly, a wireless communication device is provided, which is a second device or is disposed in a second device, the wireless communication device comprising:

[0100] The sending module is used to send first information to the first device;

[0101] A receiving module is configured to receive second information from the first device;

[0102] The first information includes at least one of the following:

[0103] The first indication information is used to instruct the first device to report position estimation information and position measurement information;

[0104] The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device;

[0105] The third indication information is used to indicate the type of auxiliary information reported by the first device;

[0106] The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time;

[0107] The fifth indication information is used to indicate the type of measurement information requested by the second device;

[0108] The sixth indication information is used to indicate the type of measurement information preferred by the second device;

[0109] The seventh instruction information is used to indicate at least one timed reporting granularity factor;

[0110] The second information includes at least one of the following:

[0111] There are M instances of location measurement information, where M is a positive integer;

[0112] N instances of location estimation information, where N is a positive integer;

[0113] First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

[0114] 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.

[0115] In a sixth aspect, a communication device is provided, the communication 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.

[0116] In a seventh aspect, a communication 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.

[0117] Eighthly, a communication device is provided, the communication 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 second aspect.

[0118] In a ninth aspect, a communication 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 second aspect.

[0119] 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.

[0120] Eleventhly, a wireless communication system is provided, comprising: a first device and a second device, wherein the first device is configured to perform the steps of the method as described in the first aspect, and the second device is configured to perform the steps of the method as described in the second aspect.

[0121] 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.

[0122] In a thirteenth aspect, a computer program / program product is provided, which is stored in a storage medium and is executed by at least one processor to implement the steps of the method as described in the first aspect, or to implement the steps of the method as described in the second aspect.

[0123] In this embodiment of the application, the second device can send first information to the first device. The first information can be regarded as the reporting configuration of the location data expected by the second device. Thus, the first device can determine the appropriate location data (i.e., the second information) and report the location data according to the first information. This is beneficial to meet the second device's needs for location data, and facilitates the second device to manage and train the AI ​​model based on the location data, thereby improving the inference performance of the AI ​​model.

[0124] For example, the second device can instruct the first device to simultaneously report the terminal's location measurement information (which can be considered as input-related information of the AI ​​model) and the terminal's location estimation information (which can be considered as output-related information of the AI ​​model). Thus, the second device can train the AI ​​model based on the location measurement information and location estimation information reported by the first device, which is beneficial to improving the inference training of the AI ​​model.

[0125] For example, the second device can instruct the first device to report auxiliary information associated with the location measurement information and / or location estimation information (e.g., obtaining the auxiliary information on which the location measurement information or location estimation information is based, such as reference signal configuration, TRP beam antenna configuration, etc.), so that the second device can determine the conditions to which the AI ​​model is adapted based on the auxiliary information. In this way, the second device can select the appropriate AI model for positioning based on the actual positioning scenario, which is beneficial to improving the inference performance of the AI ​​model. Attached Figure Description

[0126] Figure 1 This is a schematic diagram of a communication system architecture provided in an embodiment of this application.

[0127] Figure 2 This is a schematic diagram of a neuron structure.

[0128] Figure 3 This is a schematic diagram of a typical neural network.

[0129] Figure 4 This is a schematic interactive diagram of an information reporting method provided in an embodiment of this application.

[0130] Figure 5 This is a schematic diagram of measurement information for channel path type and channel sampling point type provided in an embodiment of this application.

[0131] Figure 6 This is a schematic interactive diagram of another information reporting method provided in the embodiments of this application.

[0132] Figure 7 This is a schematic interactive diagram illustrating another information reporting method provided in the embodiments of this application.

[0133] Figure 8 This is a schematic interactive diagram illustrating another information reporting method provided in the embodiments of this application.

[0134] Figure 9 This is a schematic block diagram of a wireless communication device provided according to an embodiment of this application.

[0135] Figure 10 This is a schematic block diagram of a wireless communication device provided according to an embodiment of this application.

[0136] Figure 11 This is a schematic block diagram of a communication device provided according to an embodiment of this application.

[0137] Figure 12 This is a schematic diagram of the hardware structure of a terminal according to an embodiment of this application.

[0138] Figure 13 This is a schematic block diagram of a network-side device provided according to an embodiment of this application.

[0139] Figure 14 This is a schematic block diagram of another network-side device provided according to an embodiment of this application. Detailed Implementation

[0140] 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.

[0141] 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.

[0142] 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.

[0143] 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.

[0144] 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.

[0145] In the embodiments of this application, the terminal may also be referred to as user equipment (UE), terminal equipment, access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, wireless communication equipment, user agent, or user device, etc.

[0146] 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.

[0147] 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.

[0148] 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.

[0149] 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).

[0150] To facilitate a better understanding of the embodiments of this application, artificial intelligence (AI) will be described.

[0151] Artificial intelligence (AI) has been widely applied in various fields. Integrating AI into wireless communication networks to significantly improve technical indicators such as throughput, latency, and user capacity is an important task for future wireless communication networks. 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 for illustration, but does not limit the specific type of AI module.

[0152] A neural network is a computational model consisting of multiple interconnected neurons. The connections between nodes represent weights, which are weights used to calculate the weighted sum of different input signals. Each node performs a weighted summation (SUM) on different input signals and outputs the sum 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.

[0153] 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).

[0154] 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 (sometimes called a loss function), which is often a mathematical combination of model parameters and data. For example, given data X and its corresponding label Y, we construct a neural network model f(.). With the model, we can obtain the predicted output f(x) based on the input x, and calculate the difference between the predicted value and the true value (f(x) - Y), which is the loss function. Our goal is to find suitable W and b that minimize the value of the above loss function. The smaller the loss value, the closer our model is to the reality.

[0155] Most common optimization algorithms are based on the error back propagation (BP) algorithm. The basic idea of ​​the BP algorithm 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 the error back propagation stage. Error back propagation involves propagating the output error back to the input layer layer by layer through the hidden layers, 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 of each layer through forward and backward propagation is repeated continuously. This continuous adjustment of weights is similar to the learning and training process of a network. This process continues until the error of the network output is reduced to an acceptable level, or until the predetermined number of learning iterations is reached.

[0156] Common optimization algorithms include Gradient Descent, Stochastic Gradient Descent (SGD), mini-batch gradient descent, Momentum, Nesterov (specifically, stochastic gradient descent with momentum), Adaptive Gradient Descent (Adagrad), Adadelta, root mean square propagation (RMSprop), and Adaptive Moment Estimation (Adam). During error backpropagation, these algorithms calculate the gradient by taking the derivative / partial derivative of the error / loss obtained from the loss function with respect to the current neuron, adding the learning rate and the effects of previous gradients / derivatives / partial derivatives, and then propagating this gradient to the previous layer.

[0157] In practice, due to the relatively small size of real-time datasets, training neural networks directly on small datasets may lead to overfitting. Neural networks may achieve good convergence or inference accuracy on the training set, but poor convergence or inference accuracy on the validation or test set, a problem known as the generalization problem of neural networks. To improve generalization ability, a common approach is to pre-train neural networks on a large amount of offline collected data, and then fine-tune the parameters or structure of the pre-trained neural network using real-time collected data (fine-tuning) to adapt the neural network to the real-world environment. If fine-tuning only updates the parameters of the neural network, it can be considered a training process based on the parameters of the pre-trained neural network as initialization. During the fine-tuning stage, parameters of some layers can be frozen. Generally, parameters of layers closer to the input are frozen to retain coarse-grained features learned from large-scale datasets, while parameters of layers closer to the output are fine-tuned to adapt the network to fine-grained features of the real-world environment. The less data available during the fine-tuning stage, the more layers should be frozen, with only a small number of layers closer to the output being fine-tuned. If fine-tuning updates the structure of a neural network, it can fine-tune the structure of the last few layers of the neural network, such as adding an extra layer before the output layer, adjusting the number of neurons in the last few layers, etc. After the structure is changed, the parameters of the neural network can be further updated using the above parameter update methods.

[0158] Generalization of neural networks refers to the ability of a neural network to produce relatively accurate outputs on data not encountered during training (or learning). To address the generalization problem caused by variations in the wireless transmission environment and transceiver hardware implementation (such as the number of antennas and beam patterns), neural network-based wireless communication systems offer three solutions: 1) Training different neural networks under different conditions (such as different cells, different areas, different movement speeds, and different channel conditions), with each condition corresponding to a set of neural network parameters or structures. Selecting or activating the appropriate neural network under different real-world environments ensures accurate inference; 2) Training a single neural network based on a mixed dataset under multiple conditions allows it to adapt to various conditions, improving its robustness to environmental changes and avoiding frequent switching; 3) Fine-tuning: Re-collecting a new set of data under new conditions and fine-tuning the parameters or structure of the original neural network. Each of these three modes has its advantages and disadvantages: The first approach performs well under different transmission conditions, but it requires storing multiple neural network parameters or structures and switching them as needed, which may lead to additional signaling overhead, model management complexity, and frequent switching issues; The second approach allows a single set of neural network parameters or structures to be applicable to multiple conditions, but it cannot achieve optimal performance under every condition; The third approach enables neural networks to be quickly adapted to various new scenarios, but it requires collecting new data and training the neural network model, and its performance is limited by several factors, such as the similarity between the pre-training dataset and the newly collected data, the scale of the new data, etc.

[0159] In machine learning and deep learning, a label (or ground truth label) typically refers to the identification or annotation of the true category or target value of a data sample. Labels are used to represent the information that a model should learn and predict given an input data sample. For example, in classification tasks, a label indicates which category a data sample belongs to. For instance, in image classification, each image sample has a label representing the category or probability of the object or scene contained in the image, such as "dog" or "cat," or the probability of belonging to "dog" or "cat."

[0160] Labels in object detection: Labels typically include the object's location information (bounding box) and category information. Each label identifies a target object in an image, including its location and category.

[0161] Labels for time series forecasting or regression tasks: Labels typically represent the continuous or real-valued objective to be predicted. For example, in a house price forecasting task, the label could be the predicted future house sales price.

[0162] Labels in sequence labeling: In natural language processing, labels in sequence labeling tasks are often used for tasks such as part-of-speech tagging and named entity recognition. Labels are used to represent the attributes or categories of each word or character in a text sequence.

[0163] Labels are a crucial component in supervised learning tasks, used to train machine learning models. Models learn patterns and regularities by comparing themselves to true labels in order to make predictions or classifications on unseen data. The quality and accuracy of the labels are critical to the model's performance.

[0164] To facilitate a better understanding of the embodiments of this application, the channel path and channel sampling points are explained.

[0165] Channel sampling points are observations of the channel obtained at a certain timing granularity T. Channel sampling points can also be called time-domain channel sampling points.

[0166] The timing reporting granularity factor k is used in the NR protocol. The LMF can recommend a k value to the UE, but the specific k value used to report channel path timing information (such as Reference Signal Time Difference (RSTD)) still depends on the UE. However, when reporting timing information, the UE needs to report the k value associated with the channel path to the network side. For channel path-based reporting, the choice of k value is related to the precision of the timing information (such as RSTD) reported by the terminal. The larger the k value, the coarser the granularity of the reported timing information. The current protocol supports k values ​​in the range of integers greater than or equal to 0 and less than or equal to 5. The k value corresponds to the minimum time interval between the two reported channel path timing information or the timing granularity of the channel path is T=2. k ×T c T c It is the basic time unit of NR. For reporting methods based on channel sampling points, the k value selected by the terminal side may affect the accuracy of the AI ​​model-based positioning function on the LMF side.

[0167] It should be noted that the base station or TRP is also applicable to the LMF side solution.

[0168] AI positioning refers to using an AI model to determine the location information of a terminal based on channel measurements (such as the channel delay spectrum, delay power spectrum, and time-domain channel impulse response (CIR) of at least one TRP associated with the target terminal). For example, by inputting channel measurements into the AI ​​model, the AI ​​model infers the terminal's location-related information. Location-related information includes at least one of the following: location coordinates, angle-related information (such as Angle of Arrival (AoA) and Angle of Departure (AoD)), delay-related information (such as Time of Arrival (TOA) and RSTD), distance-related information (such as the distance from the UE to the TRP), etc.

[0169] Specifically, the channel delay spectrum includes time information of multiple channel paths or channel sampling points, the delay power spectrum includes time information and power information of multiple channel paths or channel sampling points, and the time domain CIR includes time information, power information, and phase information of at least one channel path or channel sampling point.

[0170] Channel path is an estimate of the channel response, such as the time-domain channel impulse response or channel frequency response, obtained by measuring a reference signal and further processed by a multipath extraction algorithm. Specifically, the result of the channel path extraction or estimation algorithm is an estimate of the actual propagation path of the signal in the real environment, including the channel 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.

[0171] In AI model-based positioning scenarios, the Localization Management Frame (LMF) can collect training datasets for AI model training. For example, it can collect channel measurements and their corresponding timestamps. However, many terminals or TRPs in the system can also report training datasets to the LMF. This reporting method is detrimental to AI model management and training, thus affecting the AI ​​model's inference performance. Specifically, the AI ​​model's suitability typically depends on the configuration of the training dataset, and its inference performance depends on whether the model's suitability matches the current positioning scenario. Using an AI model that matches the positioning scenario ensures its inference performance and, consequently, the accuracy of terminal positioning. Furthermore, simply reporting channel measurements and related information is equivalent to not providing labels for AI model training, thus impacting the training process.

[0172] In view of this, embodiments of this application provide an information reporting method. The terminal or TRP can simultaneously report the terminal's location measurement information (which can be considered as input-related information of the AI ​​model) and the terminal's location estimation information (which can be considered as output-related information of the AI ​​model), facilitating the training of the AI ​​model by the LMF. Furthermore, the terminal or TRP can also report auxiliary information associated with the location measurement information or location estimation information to the LMF (e.g., obtaining the auxiliary information on which the location measurement information or location estimation information is based, such as reference signal configuration, TRP beam antenna configuration, etc.), enabling the LMF to determine the conditions suitable for the AI ​​model based on this auxiliary information. In this way, the LMF can select the appropriate AI model for positioning based on the actual positioning scenario, which is beneficial for improving the inference performance of the AI ​​model.

[0173] The information reporting method provided in this application will be described in detail below with reference to the accompanying drawings, through some embodiments and application scenarios.

[0174] Figure 4 This is a schematic diagram illustrating a wireless communication method provided in an embodiment of this application. Figure 4 As shown, the method includes at least some of the following:

[0175] S210, the first device receives the first information from the second device;

[0176] S220, the first device performs the first operation.

[0177] In some embodiments, the first device is the terminal or an access network device (such as an access network device that measures the reference signal sent by the terminal), for example, a TRP. The terminal can be a target terminal located based on an AI model.

[0178] In some embodiments, the second device is a core network device or an access network device (such as an access network device for measuring reference signals sent by a terminal). Optionally, the core network device may be a core network device for terminal positioning, or a core network device for AI model training, wherein the AI ​​model can be used for terminal positioning; for example, the core network device may be an LMF (Local Modeling Function).

[0179] The AI ​​model described in this application embodiment may also be referred to as an AI unit, AI model / AI unit, machine learning (ML) model, ML unit, AI structure, AI function, AI characteristic, neural network, neural network function, neural network functionality, etc. Alternatively, the AI ​​model described in this application may also refer to a processing unit capable of implementing specific algorithms, formulas, processing flows, capabilities, etc. related to AI. Alternatively, the AI ​​model described in this application may be a processing method, algorithm, function, module, or unit for a specific dataset. Alternatively, the AI ​​model described in this application may be a processing method, algorithm, function, module, or unit running on AI / ML related hardware such as a graphics processing unit (GPU), neural processing unit (NPU), tensor processing unit (TPU), or application-specific integrated circuit (ASIC). This application does not specifically limit this. Optionally, the specific dataset includes data related to the AI ​​model input or data related to the AI ​​model output.

[0180] The identifier of the AI ​​model described in the embodiments of this application may be an AI unit identifier, an AI structure identifier, an AI parameter identifier, an AI algorithm identifier, or an identifier of a specific dataset associated with the AI ​​model described in this application, or an identifier of a specific scenario, environment, channel characteristics, or device related to the AI ​​model described in this application, or an identifier of a function, characteristic, capability, or module related to the AI ​​model described in this application. This application does not make any specific limitations on these.

[0181] In one specific embodiment, the first device is a terminal and the second device is an LMF.

[0182] In another specific embodiment, the first device is a TRP and the second device is an LMF.

[0183] In some embodiments of this application, the first operation includes at least one of the following:

[0184] The first device obtains the second information based on the first information;

[0185] The first device sends the second information to the second device.

[0186] In some embodiments, the first information can be considered as the location data reporting configuration, which is used by the first device to determine the reporting content, reporting method, etc. of the location data.

[0187] In some embodiments, the second information may be considered as the location data reported by the first device. That is, the first device may determine the location data to be reported according to the location data reporting configuration indicated by the second device, and may further report the location data to the second device.

[0188] In some embodiments of this application, the first information includes at least one of the following:

[0189] The first indication information is used to instruct the first device to report position estimation information and position measurement information;

[0190] The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device;

[0191] The third instruction information is used to indicate the type of auxiliary information reported by the first device;

[0192] The fourth instruction information is used to indicate the number of location estimation information instances and / or location measurement information instances included in the first device's report at one time;

[0193] The fifth instruction information is used to indicate the type of measurement information requested (or required) by the second device;

[0194] The sixth indication information is used to indicate the type of measurement information preferred by the second device;

[0195] The seventh instruction information is used to indicate at least one timed reporting granularity factor.

[0196] In some embodiments of this application, the second information includes at least one of the following:

[0197] There are M instances of location measurement information, where M is a positive integer;

[0198] N instances of location estimation information, where N is a positive integer;

[0199] First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

[0200] In some embodiments, the location measurement information includes measurement information between the terminal and at least one access network device (e.g., TRP).

[0201] In some embodiments, the measurement information further includes, but is not limited to, at least one of the following:

[0202] Time information, power information, phase information, and timed reporting granularity factor.

[0203] In some embodiments, the location estimation information includes location-related information. Optionally, it may also include timestamp information of the measurement and / or the positioning method on which the location-related information is obtained. The timestamp information of the measurement may indicate the measurement time of a reference signal, wherein the location-related information is obtained by measuring the reference signal.

[0204] In some embodiments, the location-related information includes, but is not limited to, at least one of the following:

[0205] The terminal's location coordinates, angle-related information between the terminal and the TRP (such as Angle of Arrival (AoA) and Angle of Departure (AoD)), time delay-related information between the terminal and the TRP (such as Time of Arrival (TOA) and RSTD), and distance-related information between the terminal and the TRP (such as the distance from the terminal to the TRP), etc.

[0206] In some embodiments, the location measurement information can be considered as model input information of the AI ​​model, and the location estimation information can be considered as model output information of the AI ​​model. Therefore, the location measurement information can be used as model input information in the training dataset for training the AI ​​model, and the location estimation information can be used as a label for the AI ​​model. The first device reports the associated location measurement information and location estimation information to the second device. In this way, the second device can use the associated location measurement information and location estimation information to train the AI ​​model, which is beneficial to improving the inference performance of the AI ​​model. And / or, the second device can also supervise the AI ​​model based on the associated location measurement information and location estimation information. For example, the second device can obtain the corresponding location estimation information through the AI ​​model based on the location measurement information, and then compare it with the location estimation information associated with the location measurement information reported by the first device to determine the positioning accuracy or effectiveness of the AI ​​model.

[0207] In some embodiments, where the first information may include first indication information, the second information may include M instances of location measurement information and / or N instances of location estimation information. For example, if the first device cannot obtain location estimation information or for privacy reasons, the first device may only report instances of location measurement information.

[0208] In some embodiments, the second device can use location measurement information with associated location estimation information (i.e., with location labels) and location measurement information without associated location estimation information (i.e., without location labels) to perform semi-supervised model training, thereby improving the training effect of the AI ​​model.

[0209] In other embodiments, the first device may be allowed to report location estimation information and location measurement information by default or by agreement. In this case, the first information may not include the first indication information.

[0210] Optionally, the location measurement information instance may include measurement information between the terminal and at least one access network device (e.g., TRP). Optionally, the location estimation information instance may include location-related information of the terminal, and further optionally, may also include measurement timestamp information and / or the positioning method on which the location-related information is obtained. The measurement timestamp information may indicate the measurement time of a reference signal, wherein the location-related information is obtained by measuring the reference signal.

[0211] In some embodiments of this application, the second device can also configure the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device through the second indication information. Thus, the second device can know the auxiliary information on which the first device obtained the location measurement information and / or location estimation information, and further know the adaptation conditions of the AI ​​model obtained by training the AI ​​model based on the location measurement information and / or location estimation information. In this way, when performing terminal positioning in the future, the second device can select the AI ​​model that is adapted to the current conditions of the terminal for terminal positioning based on the adaptation conditions of the AI ​​model, which is beneficial to improving the inference performance of the AI ​​model. Alternatively, the second device can provide the terminal with corresponding auxiliary information for the measurement and reporting of reference signals based on the currently configured adaptation conditions associated with the AI ​​model.

[0212] In some embodiments, where the first information includes second indication information, the second information includes first auxiliary information, which is associated with the M instances of location measurement information and / or the N instances of location estimation information.

[0213] In other embodiments, auxiliary information associated with the location estimation information and / or location measurement information reported by the first device may be defaulted to or agreed upon by agreement. In this case, the first information may not include the second indication information.

[0214] Optionally, if the first information includes the tenth instruction information, the second information includes the first auxiliary information, wherein the tenth instruction information is used to instruct the first device to perform the collection or reporting of positioning data.

[0215] Optionally, if the time interval between the measurement time or acquisition time and the reporting time of the location estimation information or location measurement information is greater than or equal to a first threshold, the second information includes the first auxiliary information. The first threshold can be configured by the second device or agreed upon by a protocol. If the time interval between the acquisition time and the reporting time of the location estimation information or location measurement information is relatively short, it can be assumed that the second device has cached or knows the auxiliary information associated with the location estimation information or location measurement information reported by the first device at this time. In this case, the second information may not include the first auxiliary information. However, if the time interval between the acquisition time and the reporting time of the location estimation information or location measurement information is relatively long, it can be assumed that the second device does not know the auxiliary information associated with the location estimation information or location measurement information reported by the first device. Therefore, the first device needs to report this auxiliary information when reporting data.

[0216] In some embodiments of this application, the second device may also indicate the type of auxiliary information reported by the first device through third indication information. This type can be considered as the type of auxiliary information that the second device expects to obtain. For example, the second device can manage the AI ​​model based on this type of auxiliary information, so that the first device can report the appropriate type of auxiliary information based on the type of auxiliary information indicated by the second device to meet the needs of the second device.

[0217] In some embodiments, the third indication information is used to indicate at least one of the following types of auxiliary information:

[0218] Configuration information of the reference signal, wherein the reference signal is used for the positioning of the terminal;

[0219] Regional related auxiliary information.

[0220] In some embodiments, the configuration information of the reference signal may be the configuration information of the reference signal associated with the M location measurement information instances. For example, the M location measurement information instances are obtained by measuring the reference signal of the configuration information.

[0221] In some embodiments, the region-related auxiliary information may include, but is not limited to, obtaining the region-related information associated with the M location measurement information instances, and / or obtaining the region-related information associated with the N location estimation information instances.

[0222] The reference signals described in the embodiments of this application include, but are not limited to, at least one of the following:

[0223] Positioning reference signals (PRS), sounding reference signals (SRS), channel state information reference signals (CSI-RS), and synchronization signal blocks (SSB).

[0224] It should be noted that SSB can also be called synchronizationsignal / physical broadcast channel block (SS / PBCH block).

[0225] In some embodiments, the configuration information of the reference signal includes at least one of the following:

[0226] The signal bandwidth of the reference signal;

[0227] The index of the starting physical resource block (PRB) occupied by the reference signal;

[0228] The common reference point used for resource block grids, namely reference point A;

[0229] The reference signal resource interval in each OFDM symbol, or the reference signal resource comb size, is such as the downlink PRS resource comb size (dl-PRS-CombSizeN).

[0230] In some embodiments, at the same location, the terminal or TRP can obtain different location measurement information under different reference signal bandwidths. Therefore, the second device can train different AI models for different reference signal bandwidth ranges. This way, when subsequently using the AI ​​model to locate the terminal, the corresponding AI model can be determined based on the reference signal bandwidth allocated for the target terminal's location, and then the target terminal can be located based on that AI model, which helps improve positioning accuracy. For a given subcarrier interval, the bandwidth of the reference signal can be represented by the number of PRBs occupied by the reference signal.

[0231] In some embodiments, the PRB index and / or the reference point A can be used to determine the frequency information of the reference signal. Under different reference signal frequencies, the terminal or TRP can obtain different position measurement information. Therefore, the second device can train different AI models for different reference signal frequency ranges. In this way, when the AI ​​model is used to locate the terminal in the future, the corresponding AI model can be determined based on the reference signal frequency allocated for the target terminal location, and then the target terminal can be located based on the AI ​​model, which is beneficial to improving the positioning accuracy.

[0232] In some embodiments, the size of the reference signal resource comb teeth affects the accuracy of channel measurements; for example, a larger reference signal resource comb tooth size results in lower measurement accuracy. In some implementations, for example, a reference signal resource comb tooth size of 6 indicates that one pilot symbol is inserted every 6 resource particles.

[0233] In some embodiments, the region-related auxiliary information includes at least one of the following:

[0234] The area identifier (AreaID) corresponding to the valid area;

[0235] At least one list of cell identifiers;

[0236] The first association identifier for valid region association.

[0237] In some embodiments, the effective area can be considered as the area where auxiliary information is valid, such as a specific area to which one or more TRPs belong.

[0238] In some embodiments, the first association identifier of the effective area association is associated with at least one of the following: spatial filter of at least one TRP, beam information, antenna information, location information, beam information and reference signal resource association.

[0239] In some embodiments, the first association identifier of the effective region association can distinguish the configuration of at least one TRP, or can be used to implicitly indicate the configuration of at least one TRP.

[0240] In one implementation, for two identical first association identifiers of a TRP, the first or second device may assume that at least one of the spatial filter, beam information, or beam antenna information associated with these two identical first association identifiers has the same association relationship with a reference signal resource, a reference signal, or a set of reference signal resources. This is related to the configuration of the first association identifier and the associated TRP. For example, if the first association identifier is associated with the spatial direction information of the beam (such as azimuth, elevation, etc.) and the reference signal resource, then for two identical first association identifiers of a TRP, the first or second device may assume that the spatial direction information of the beam (such as azimuth, elevation, etc.) associated with these two identical first association identifiers has the same association relationship with the reference signal resource.

[0241] In other implementations, the first association identifier is associated with the location information of the TRP, such as location coordinates. Therefore, for two identical first association identifiers for a TRP, the first or second device can assume that the location coordinates of the TRPs associated with these two identical first association identifiers are the same, and so on. Alternatively, a TRP can also be associated with two different first association identifiers, and the first or second device can assume that at least one of the spatial filter, beam, or antenna information associated with these two different first association identifiers is different.

[0242] In some embodiments, the cell identifier list includes at least one of the following:

[0243] The global cell identifier corresponding to the target cell;

[0244] The physical cell identifier (PhysCellID) corresponding to the target cell;

[0245] The Absolute Radio Frequency Channel Number (ARFCN) corresponding to the target cell;

[0246] The first association identifier associated with the target cell;

[0247] At least one positioning reference signal identifier, the at least one positioning reference signal identifier being associated with the target cell;

[0248] The first associated identifier is associated with the at least one positioning reference signal identifier;

[0249] The position coordinates of at least one TRP.

[0250] In some embodiments, the target cell may be the cell corresponding to the reference signal on which the M location measurement information instances are based, or the cell corresponding to the TRP on which the N location estimation information instances are based.

[0251] In some embodiments, the target cell may include the serving cell of the terminal, or it may include the non-serving cell of the terminal, which is not limited in this application.

[0252] In some embodiments, the at least one positioning reference signal identifier is used to indicate at least one TRP, which may be a TRP associated with the M instances of location measurement information.

[0253] In some embodiments, the first association identifier associated with the at least one positioning reference signal identifier may be associated with at least one of the spatial filters, beams, and antenna information of at least one TRP. That is, the first association identifier may implicitly indicate at least one TRP.

[0254] In some embodiments, the position coordinates of the at least one TRP may be the position coordinates of the TRP on which the N position estimation information instances are based, or the position coordinates of the TRP corresponding to the reference signal on which the M position measurement information is based.

[0255] In some embodiments, where the first information includes third indication information, the second information includes first auxiliary information, wherein the first auxiliary information is auxiliary information of the type indicated by the third indication information.

[0256] In other embodiments, the first device may be required to report a preset type of auxiliary information by default or by agreement, such as configuration information of reference signals or area-related auxiliary information. In this case, the first information may not include the third indication information.

[0257] In some embodiments of this application, the second device may also indicate the number of location measurement information instances and / or the number of location estimation information instances included in a single report by the first device through the fourth indication information. In this way, the second device can allocate an appropriate number of air interface resources to the first device based on the number, and the first device can report an appropriate number of location measurement information instances and / or location estimation information instances based on the air interface resources, which is beneficial to saving air interface resource overhead.

[0258] In some embodiments, the fourth indication information may indicate a quantity applicable to the reporting of location measurement information instances and location estimation information instances, i.e., the first device may report the same quantity of location measurement information instances and location estimation information instances.

[0259] In other embodiments, the fourth indication information may also indicate two quantities, representing the number of location measurement information instances and the number of location estimation information instances included in a single report, respectively. These two quantities may be the same or different.

[0260] In some embodiments, the first device may report the location measurement information instances and / or location estimation information instances only after they have accumulated to the number indicated by the fourth indication information.

[0261] In some embodiments, the first information includes the fourth indication information, which is used to indicate the number of location measurement information instances reported by the first device at one time. The number of M location measurement information instances included in the second information is equal to the number indicated by the fourth indication information, or the number of M location measurement information instances included in the second information is less than or equal to the number indicated by the fourth indication information, or the number of M location measurement information instances included in the second information is greater than or equal to the number indicated by the fourth indication information.

[0262] In some embodiments, the first information includes the fourth indication information, which is used to indicate the number of location estimation information instances reported by the first device at one time. The number of N location estimation information instances included in the second information is equal to the number indicated by the fourth indication information, or the number of N location estimation information instances included in the second information is less than or equal to the number indicated by the fourth indication information, or the number of N location estimation information instances included in the second information is greater than or equal to the number indicated by the fourth indication information.

[0263] In some embodiments of this application, the second device may also indicate the type of measurement information requested to be reported by the second device (or the type of measurement information required by the second device) through the fifth indication information, that is, the type of measurement information included in the location measurement information instance. The type of measurement information may be a type of measurement information that matches the input of the AI ​​model, or a type of measurement information that the AI ​​model can process. Thus, the first device may report the appropriate type of measurement information based on the fifth indication information to ensure that the second device can train the AI ​​model based on the type of measurement information.

[0264] In some embodiments, the fifth indication information is used to indicate that the type of measurement information requested by the second device includes at least one of the following: channel sampling point, channel path. Figure 5 This diagram illustrates measurement information for a channel sampling point type and a channel path type provided in an embodiment of this application.

[0265] In some embodiments, the first information includes fifth indication information, which indicates that the measurement information type requested by the second device is a channel path, and the measurement information type associated with the M location measurement information instances is a channel path; or

[0266] The first information includes a fifth indication information, which indicates that the measurement information type requested by the second device is a channel sampling point, and the measurement information type associated with the M location measurement information instances is a channel sampling point.

[0267] That is, when the second device indicates the type of measurement information requested to the first device, the first device may provide the second device with an instance of that type of location measurement information. If it is unable to provide an instance of that type of location measurement information, the first device may not report an instance of location measurement information, or it may report an error indication to the second device.

[0268] In some embodiments of this application, the second device may also indicate the type of measurement information preferred by the second device through the sixth indication information, that is, the type of measurement information included in the location measurement information instance. The type of measurement information may be the type of measurement information that matches the input of the AI ​​model, or the type of measurement information that the AI ​​model can process. Thus, the first device may report the appropriate type of measurement information based on the sixth indication information to ensure that the second device can train or infer the AI ​​model based on the type of measurement information.

[0269] In some embodiments, the sixth indication information used to indicate the measurement information type preferred by the second device includes at least one of the following: channel sampling point, channel path.

[0270] In some embodiments, the first information includes sixth indication information, which indicates that the measurement information type preferred by the second device is channel path, and the measurement information type associated with the M location measurement information instances is channel path or channel sampling point; or

[0271] The first information includes a sixth indication information, which indicates that the measurement information type preferred by the second device is a channel sampling point, and the measurement information type associated with the M location measurement information instances is a channel sampling point or a channel path.

[0272] That is, when the second device indicates a preferred measurement information type to the first device, the first device can provide the second device with a location measurement information instance of that type. If it cannot provide a location measurement information instance of that type, the first device can indicate to the second device other types of location measurement information instances it has acquired. For example, if the second device requests a preferred measurement information type of channel sampling point, the first device reports a location measurement information instance of channel path type.

[0273] In some embodiments of this application, the second device may also indicate to the first device via the seventh indication information the timing reporting granularity factor corresponding to the reporting of location measurement information instances. This timing reporting granularity factor can affect the accuracy of the positioning function based on the AI ​​model. For example, the larger the timing reporting granularity factor, the lower the positioning accuracy; the smaller the timing reporting granularity factor, the higher the positioning accuracy. Thus, the first device can report location measurement information instances of appropriate granularity based on the timing reporting granularity factor indicated by the seventh indication information, thereby meeting the accuracy requirements of the positioning function of the second device.

[0274] In some embodiments, the seventh indication information is used to indicate a timing reporting granularity factor. When the measurement information type associated with the M location measurement information instances is a channel path or a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined based on the timing reporting granularity factor.

[0275] That is, regardless of whether the measurement information type associated with the M location measurement information instances is a channel path or a channel sampling point, the timing reporting granularity factor of the reported location measurement information instance is determined according to a timing reporting granularity factor indicated by the seventh indication information. In other words, the timing granularity associated with the channel path or channel sampling point reported by the first device is determined according to a timing reporting granularity factor indicated by the seventh indication information. For example, the timing granularity associated with the channel path or channel sampling point reported by the first device is T=2. k ×T c Where k represents a timing reporting granularity factor indicated by the seventh indication information, and T c It is a basic unit of time.

[0276] In other embodiments, the seventh indication information is used to indicate two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel path, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the first timing reporting granularity factor among the two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the second timing reporting granularity factor among the two timing reporting granularity factors.

[0277] In some other embodiments, the seventh indication information is used to indicate two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel path, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the second timing reporting granularity factor among the two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the first timing reporting granularity factor among the two timing reporting granularity factors.

[0278] That is, the second device can use the seventh indication information to indicate the timing reporting granularity factor for reporting measurement information of channel path type and channel sampling point type respectively. In this way, the first device can select the corresponding timing reporting granularity factor according to the type of measurement information to be reported, which is beneficial to meeting the positioning accuracy requirements of the first device.

[0279] In some embodiments, the determination of the timing reporting granularity factor corresponding to the M location measurement information instances reported by the first device based on the positioning reporting granularity factor indicated by the seventh indication information may include:

[0280] The timing reporting granularity factor corresponding to the M location measurement information instances reported by the first device is equal to the timing reporting granularity factor indicated by the seventh indication information; or

[0281] The timing reporting granularity factor corresponding to the M location measurement information instances reported by the first device is less than or equal to the timing reporting granularity factor indicated by the seventh indication information; or

[0282] The timing reporting granularity factor corresponding to the M location measurement information instances reported by the first device is greater than or equal to the timing reporting granularity factor indicated by the seventh indication information.

[0283] In some embodiments, the M location measurement information instances may be included in a first information element (IE), and the first auxiliary information may also be included in the first IE. For example, after the M location measurement information instances in the first IE, it indicates that the first auxiliary information is associated with all M location measurement information instances. By reporting the M location measurement information instances associated with the same auxiliary information in one IE, it is beneficial to reduce the reporting overhead of the first device.

[0284] In some embodiments, the N location estimation information instances may be included in a second IE, and the first auxiliary information may also be included in the second IE. For example, the first auxiliary information is associated with all N location estimation information instances after the N location estimation information instances in the second IE. By reporting the N location estimation information instances associated with the same auxiliary information in one IE, it is beneficial to reduce the reporting overhead of the first device.

[0285] In some embodiments, the number M of location measurement information instances included in the second information is greater than or equal to the number N of location estimation information instances included in the second information.

[0286] In some embodiments, the M instances of location measurement information and the N instances of location estimation information have a first association relationship.

[0287] In some specific embodiments, the first association relationship includes at least one of the following:

[0288] When M equals N, the M location measurement information instances and the N location estimation information instances are associated one-to-one. For example, the M location measurement information instances and the N location estimation information instances are associated one-to-one according to the index. For example, the i-th location measurement information instance is associated with the i-th location estimation information instance. This pairing method helps to reduce the pairing overhead on the second device side.

[0289] When M is greater than N, the N location estimation information instances are associated one-to-one with the specific N location measurement information instances among the M location measurement information instances. For example, the N location estimation information instances are associated one-to-one with the first N location measurement information instances among the M location measurement information instances, or the N location estimation information instances are associated one-to-one with the last N location measurement information instances among the M location measurement information instances. This pairing method helps to reduce the pairing overhead on the second device side.

[0290] In some embodiments, the first information includes an eighth indication information, which is used to indicate the first association relationship. In this way, the first device can arrange the M location measurement information instances and N location estimation information instances in the second information according to the association relationship indicated by the eighth indication information. Correspondingly, the second device can determine the associated location measurement information instances and location estimation information instances in the second information according to the association relationship indicated by the eighth indication information.

[0291] In some embodiments, the second information includes a ninth indication information, which is used to indicate the first association relationship. That is, when the second device reports N location estimation information instances and M location measurement information instances, it can simultaneously indicate the association relationship between the N location estimation information instances and the M location measurement information instances, so that the first device can determine the associated location measurement information instances and location estimation information instances in the second information based on the ninth indication information.

[0292] In some embodiments of this application, the method 200 further includes:

[0293] The first device (e.g., UE) sends first capability information to the second device (e.g., LMF), the first capability information including at least one of the following:

[0294] The first device supports simultaneously reporting location measurement information and location estimation information;

[0295] The number of location measurement information instances that the first device can report in a single report;

[0296] The number of location estimation information instances that the first device can report in a single report;

[0297] The number of data pairs that the first device can report in a single report, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance;

[0298] The first device supports a certain number of cached or stored location measurement information instances;

[0299] The first device supports the number of cached or stored location estimation information instances;

[0300] The first device supports a number of cached or stored data pairs, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance.

[0301] In some embodiments, the first information may be determined based on first capability information.

[0302] For example, if the first device supports reporting location measurement information and location estimation information, the first information may include first indication information.

[0303] For example, the number of location measurement information instances included in a single report indicated by the fourth instruction information is less than or equal to the number of location measurement information instances supported by the first device in a single report.

[0304] For example, the number of location estimation information instances included in a single report indicated by the fourth instruction information is less than or equal to the number of location estimation information instances supported by the first device in a single report.

[0305] In some embodiments, the first device receives first information from the second device, including:

[0306] The first device receives a first request from the second device, the first request including the first information, wherein the first request is used to request location information; or

[0307] The first device receives a second request from the second device, the second request including the first information, wherein the second request is used to request the execution of a measurement.

[0308] Optionally, the second information is included in the first response, which is used to provide location information.

[0309] Optionally, the second information is included in the second response, which is used to provide measurement information.

[0310] For example, the first request may include an LTE Positioning Protocol (LPP) Location Information Request, and the first response may include an LPP Provide Location Information.

[0311] For example, the second request may include an NR Positioning Protocol Annex (NRPPa) Measurement Request, and the second response may include an NRPPa Measurement Response.

[0312] The following, combined with Figure 6 Taking a UE as the first device and an LMF as the second device as an example, this application provides an information reporting method. Figure 6 As shown, the method may include the following steps:

[0313] S301, the UE reports the first capability information to the LMF. The specific content of the first capability information is as described in the foregoing embodiments, and will not be repeated here for the sake of brevity.

[0314] S302, LMF sends a first request to UE. The first request includes first information. The specific content of the first information is described in the relevant description of the foregoing embodiments. For the sake of brevity, it will not be repeated here.

[0315] Optionally, the first request can be an LPP Request Location Information.

[0316] S303, the UE performs positioning measurement and determines the second information based on the first information.

[0317] For example, the UE performs measurements on the downlink PRS to obtain location measurement information and location estimation information.

[0318] S304, the UE sends a first response to the LMF, wherein the first response includes second information. The specific content of the second information is described in the relevant description of the foregoing embodiments, and will not be repeated here for the sake of brevity.

[0319] Optionally, the first response can be LPP Provide Location Information.

[0320] Since the reporting of positioning data used for AI model training does not have high latency requirements, the terminal can report the positioning data at an appropriate time after collection. For example, the terminal can perform positioning measurements to acquire positioning data in the RRC idle (RRC_IDLE) or RRC inactive (RRC_INACTIVE) state. Optionally, when performing positioning measurements in the RRC_IDLE / INACTIVE state, the terminal can use broadcast positioning assistance data or positioning assistance data received via RRC connection (RRC_CONNECTED) for positioning measurements. The positioning assistance data can correspond to the auxiliary information mentioned earlier, such as reference signal configuration information and area-related auxiliary information.

[0321] The following, combined with Figure 7 Taking the first device as the UE and the second device as the LMF as an example, this application provides another information reporting method. Figure 7 As shown, the method may include the following steps:

[0322] S311, LMF sends positioning assistance data to the UE in RRC connected state.

[0323] S312, LMF sends first information to UE. The specific content of the first information is described in the relevant description of the foregoing embodiments, and will not be repeated here for the sake of brevity.

[0324] After that, the UE enters the RRC idle state or the RRC inactive state.

[0325] S313, LMF transmits broadcast system information (e.g., posSIB).

[0326] S314, the UE performs a measurement and determines the second information based on the first information.

[0327] For example, the UE performs measurements on the downlink PRS to obtain positioning data.

[0328] S315, after the UE enters the RRC connection state, the UE sends the second information to the LMF. The specific content of the second information is described in the relevant description of the foregoing embodiments, and will not be repeated here for the sake of brevity.

[0329] Optionally, the auxiliary information in the embodiments of this application can be obtained through step S311 or step S313.

[0330] The following, combined with Figure 8 Taking a gNB or TRP as the first device and an LMF as the second device as an example, this application provides another information reporting method. Figure 8 As shown, the method may include the following steps:

[0331] S321, the UE reports the first capability information to the LMF. The specific content of the first capability information is as described in the foregoing embodiments, and will not be repeated here for the sake of brevity.

[0332] S322, LMF sends a second request to gNB or TRP. The second request includes first information. The specific content of the first information is described in the relevant description of the foregoing embodiments. For the sake of brevity, it will not be repeated here.

[0333] Optionally, the second request can be an NRPPa Measurement Request.

[0334] S323, gNB or TRP performs the measurement and determines the second information based on the first information.

[0335] For example, gNB or TRP performs measurements on the uplink PRS to obtain location measurement information and location estimation information.

[0336] S324, gNB or TRP sends a second response to LMF, wherein the second response includes second information. The specific content of the second information is described in the relevant description of the foregoing embodiments, and will not be repeated here for the sake of brevity.

[0337] Optionally, the second response may include an NRPPa Measurement Response.

[0338] In summary, in this embodiment, the second device can instruct the first device to simultaneously report the terminal's location measurement information (which can be considered as input-related information of the AI ​​model) and the terminal's location estimation information (which can be considered as output-related information of the AI ​​model). This allows the second device to train the AI ​​model based on the location measurement and location estimation information reported by the first device, improving the AI ​​model's inference training. Furthermore, the second device can instruct the first device to report auxiliary information associated with the location measurement or location estimation information (e.g., the auxiliary information upon which the location measurement or location estimation information is based, such as reference signal configuration, TRP beam antenna configuration, etc.). This facilitates the second device in determining the conditions suitable for the AI ​​model based on this auxiliary information. Thus, the second device can select the appropriate AI model for positioning based on the actual positioning scenario, further improving the AI ​​model's inference performance.

[0339] The information reporting method provided in this application can be executed by a wireless communication device. This application uses an example of a wireless communication device executing the information reporting method to illustrate the wireless communication device provided in this application.

[0340] 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.

[0341] 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.

[0342] For details, see Figure 9 When the wireless communication device is a first device or a component of the first device, the wireless communication device 500 includes:

[0343] Receiver module 501 is used to receive first information from the second device;

[0344] Processing module 502 is used to perform the first operation.

[0345] The first operation includes at least one of the following:

[0346] Obtain the second information based on the first information;

[0347] Send the second information to the second device;

[0348] The first information includes at least one of the following:

[0349] The first indication information is used to instruct the first device to report position estimation information and position measurement information;

[0350] The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device;

[0351] The third indication information is used to indicate the type of auxiliary information reported by the first device;

[0352] The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time;

[0353] The fifth indication information is used to indicate the type of measurement information requested by the second device;

[0354] The sixth indication information is used to indicate the type of measurement information preferred by the second device;

[0355] The seventh instruction information is used to indicate at least one timed reporting granularity factor;

[0356] The second information includes at least one of the following:

[0357] There are M instances of location measurement information, where M is a positive integer;

[0358] N instances of location estimation information, where N is a positive integer;

[0359] First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

[0360] In some embodiments, the third indication information is used to indicate the type of auxiliary information reported by the first device, including at least one of the following:

[0361] Configuration information of the reference signal, wherein the reference signal is used for the positioning of the terminal;

[0362] Regional related auxiliary information.

[0363] In some embodiments, the configuration information of the reference signal includes at least one of the following:

[0364] The signal bandwidth of the reference signal;

[0365] The index of the starting physical resource block (PRB) occupied by the reference signal;

[0366] Common reference points for resource block grids;

[0367] Reference signal resource comb size.

[0368] In some embodiments, the region-related auxiliary information includes at least one of the following:

[0369] The region identifier corresponding to the valid region;

[0370] At least one list of cell identifiers;

[0371] The first association identifier for valid region associations;

[0372] Each cell identifier list includes at least one of the following:

[0373] The global cell identifier corresponding to the target cell;

[0374] The physical cell identifier corresponding to the target cell;

[0375] The absolute radio channel number (ARFCN) corresponding to the target cell;

[0376] The first association identifier associated with the target cell;

[0377] At least one positioning reference signal identifier, wherein the at least one positioning reference signal identifier is associated with a target cell;

[0378] The first associated identifier is associated with the at least one positioning reference signal identifier;

[0379] The location coordinates of the at least one Transmitter / Receiver Point (TRP).

[0380] In some embodiments, the fifth indication information is used to indicate the type of measurement information requested by the second device, including at least one of the following:

[0381] Channel sampling points, channel path.

[0382] In some embodiments, the sixth indication information used to indicate the measurement information type preferred by the second device includes at least one of the following:

[0383] Channel sampling points, channel path.

[0384] In some embodiments, the first information includes the third indication information, the second information includes the first auxiliary information, and the first auxiliary information is auxiliary information of the type indicated by the third indication information.

[0385] In some embodiments, the first information includes the fourth indication information, which indicates the number of location measurement information instances reported by the first device at one time, wherein M is equal to the number indicated by the fourth indication information, or M is less than or equal to the number indicated by the fourth indication information; or

[0386] The first information includes the fourth indication information, which is used to indicate the number of location estimation information instances reported by the first device at one time. The N is equal to the number indicated by the fourth indication information, or the N is less than or equal to the number indicated by the fourth indication information.

[0387] In some embodiments, the first information includes fifth indication information, which indicates that the measurement information type requested by the second device is channel path, and the measurement information type associated with the M location measurement information instances is channel path; or

[0388] The first information includes a fifth indication information, which indicates that the measurement information requested by the second device is of the type of channel sampling point, and the measurement information associated with the M location measurement information instances is of the type of channel sampling point.

[0389] In some embodiments, the first information includes sixth indication information, which indicates that the measurement information type preferred by the second device is channel path, and the measurement information type associated with the M location measurement information instances is channel path or channel sampling point; or

[0390] The first information includes a sixth indication information, which indicates that the measurement information type preferred by the second device is a channel sampling point, and the measurement information type associated with the M location measurement information instances is a channel sampling point or a channel path.

[0391] In some embodiments, the seventh indication information is used to indicate a timing reporting granularity factor. When the measurement information type associated with the M location measurement information instances is a channel path or a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined based on the timing reporting granularity factor; or

[0392] The seventh indication information is used to indicate two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel path, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the first timing reporting granularity factor among the two timing reporting granularity factors; when the measurement information type associated with the M location measurement information instances is a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the second timing reporting granularity factor among the two timing reporting granularity factors; or

[0393] The seventh indication information is used to indicate two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel path, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the second timing reporting granularity factor among the two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the first timing reporting granularity factor among the two timing reporting granularity factors.

[0394] In some embodiments, M is greater than or equal to N.

[0395] In some embodiments, the M instances of location measurement information and the N instances of location estimation information have a first association relationship.

[0396] In some embodiments, the first association includes at least one of the following:

[0397] When M equals N, the M instances of location measurement information and the N instances of location estimation information are associated one-to-one;

[0398] When M is greater than N, the N location estimation information instances are associated one-to-one with the specific N location measurement information instances among the M location measurement information instances.

[0399] In some embodiments, the first information includes eighth indication information, which is used to indicate the first association relationship; or

[0400] The second information includes a ninth indication, which is used to indicate the first association.

[0401] In some embodiments, the wireless communication device 500 further includes:

[0402] The sending module is configured to send first capability information to the second device, wherein the first capability information includes at least one of the following:

[0403] The first device supports simultaneously reporting location measurement information and location estimation information;

[0404] The number of location measurement information instances that the first device can report in a single report;

[0405] The number of location estimation information instances that the first device can report in a single report;

[0406] The number of data pairs that the first device can report in a single report, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance;

[0407] The first device supports a certain number of cached or stored location measurement information instances;

[0408] The first device supports the number of cached or stored location estimation information instances;

[0409] The first device supports a number of cached or stored data pairs, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance.

[0410] In some embodiments, the receiving module 501 is further configured to:

[0411] Receive a first request from the second device, the first request including the first information, wherein the first request is used to request location information; or

[0412] A second request is received from the second device, the second request including the first information, wherein the second request is used to request the execution of a measurement.

[0413] In some embodiments, the second information includes a first response, which is used to provide location information; or, the second information includes a second response, which is used to provide measurement information.

[0414] See Figure 10 When the wireless communication device is a second device or a component of a second device, the wireless communication device 600 includes:

[0415] The sending module 601 is used to send first information to the first device;

[0416] The receiving module 602 is used to receive second information from the first device;

[0417] The first information includes at least one of the following:

[0418] The first indication information is used to instruct the first device to report position estimation information and position measurement information;

[0419] The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device;

[0420] The third indication information is used to indicate the type of auxiliary information reported by the first device;

[0421] The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time;

[0422] The fifth indication information is used to indicate the type of measurement information requested by the second device;

[0423] The sixth indication information is used to indicate the type of measurement information preferred by the second device;

[0424] The seventh instruction information is used to indicate at least one timed reporting granularity factor;

[0425] The second information includes at least one of the following:

[0426] There are M instances of location measurement information, where M is a positive integer;

[0427] N instances of location estimation information, where N is a positive integer;

[0428] First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

[0429] In some embodiments, the third indication information is used to indicate the type of auxiliary information reported by the first device, including at least one of the following:

[0430] Configuration information of the reference signal, wherein the reference signal is used for the positioning of the terminal;

[0431] Regional related auxiliary information.

[0432] In some embodiments, the configuration information of the positioning reference signal includes at least one of the following:

[0433] The signal bandwidth of the reference signal;

[0434] The index of the starting physical resource block (PRB) occupied by the reference signal;

[0435] Common reference points for resource block grids;

[0436] Reference signal resource comb size.

[0437] In some embodiments, the region-related auxiliary information includes at least one of the following:

[0438] The region identifier corresponding to the valid region;

[0439] At least one list of cell identifiers;

[0440] The first association identifier for valid region associations;

[0441] Each cell identifier list includes at least one of the following:

[0442] The global cell identifier corresponding to the target cell;

[0443] The physical cell identifier corresponding to the target cell;

[0444] The absolute radio channel number (ARFCN) corresponding to the target cell;

[0445] The first association identifier associated with the target cell;

[0446] At least one positioning reference signal identifier, wherein the at least one positioning reference signal identifier is associated with a target cell;

[0447] The first associated identifier is associated with the at least one positioning reference signal identifier;

[0448] The location coordinates of the at least one Transmitter / Receiver Point (TRP).

[0449] In some embodiments, the fifth indication information is used to indicate the type of measurement information requested by the second device, including at least one of the following:

[0450] Channel sampling points, channel path.

[0451] In some embodiments, the sixth indication information used to indicate the measurement information type preferred by the second device includes at least one of the following:

[0452] Channel sampling points, channel path.

[0453] In some embodiments, the first information includes the third indication information, the second information includes the first auxiliary information, and the first auxiliary information is auxiliary information of the type indicated by the third indication information.

[0454] In some embodiments, the first information includes the fourth indication information, which indicates the number of location measurement information instances reported by the first device at one time, wherein M is equal to the number indicated by the fourth indication information, or M is less than or equal to the number indicated by the fourth indication information; or

[0455] The first information includes the fourth indication information, which is used to indicate the number of location estimation information instances reported by the first device at one time. The N is equal to the number indicated by the fourth indication information, or the N is less than or equal to the number indicated by the fourth indication information.

[0456] In some embodiments, the first information includes fifth indication information, which indicates that the measurement information type requested by the second device is channel path, and the measurement information type associated with the M location measurement information instances is channel path; or

[0457] The first information includes a fifth indication information, which indicates that the measurement information requested by the second device is of the type of channel sampling point, and the measurement information associated with the M location measurement information instances is of the type of channel sampling point.

[0458] In some embodiments, the first information includes sixth indication information, which indicates that the measurement information type preferred by the second device is channel path, and the measurement information type associated with the M location measurement information instances is channel path or channel sampling point; or

[0459] The first information includes a sixth indication information, which indicates that the measurement information type preferred by the second device is a channel sampling point, and the measurement information type associated with the M location measurement information instances is a channel sampling point or a channel path.

[0460] In some embodiments, the seventh indication information is used to indicate a timing reporting granularity factor. When the measurement information type associated with the M location measurement information instances is a channel path or a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined based on the timing reporting granularity factor; or

[0461] The seventh indication information is used to indicate two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel path, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the first timing reporting granularity factor among the two timing reporting granularity factors; when the measurement information type associated with the M location measurement information instances is a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the second timing reporting granularity factor among the two timing reporting granularity factors; or

[0462] The seventh indication information is used to indicate two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel path, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the second timing reporting granularity factor among the two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the first timing reporting granularity factor among the two timing reporting granularity factors.

[0463] In some embodiments, M is greater than or equal to N.

[0464] In some embodiments, the M instances of location measurement information and the N instances of location estimation information have a first association relationship.

[0465] In some embodiments, the first association includes at least one of the following:

[0466] When M equals N, the M instances of location measurement information and the N instances of location estimation information are associated one-to-one;

[0467] When M is greater than N, the N location estimation information instances are associated one-to-one with the specific N location measurement information instances among the M location measurement information instances.

[0468] In some embodiments, the first information includes eighth indication information, which is used to indicate the first association relationship; or

[0469] The second information includes a ninth indication, which is used to indicate the first association.

[0470] In some embodiments, the receiving module 602 is further configured to:

[0471] Receive first capability information from the first device, wherein the first capability information includes at least one of the following:

[0472] The first device supports simultaneously reporting location measurement information and location estimation information;

[0473] The number of location measurement information instances that the first device can report in a single report;

[0474] The number of location estimation information instances that the first device can report in a single report;

[0475] The number of data pairs that the first device can report in a single report, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance;

[0476] The first device supports a certain number of cached or stored location measurement information instances;

[0477] The first device supports the number of cached or stored location estimation information instances;

[0478] The first device supports a number of cached or stored data pairs, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance.

[0479] In some embodiments, the sending module 601 is further configured to:

[0480] Send a first request to the first device, the first request including the first information, wherein the first request is used to request location information; or

[0481] A second request is sent to the first device, the second request including the first information, wherein the second request is used to request the execution of a measurement.

[0482] In some embodiments, the second information includes a first response, wherein the first response is used to provide location information; or

[0483] The second information is included in the second response, which is used to provide measurement information.

[0484] The wireless communication device provided in this application embodiment can achieve... Figures 4 to 8 The various processes implemented in the method embodiments achieve the same technical effect, and will not be described again here to avoid repetition.

[0485] like Figure 11 As shown, this application embodiment also provides a communication device 800, including a processor 801 and a memory 802. The memory 802 stores a program 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 above-mentioned... Figures 4 to 8 The various steps of the method embodiment can achieve the same technical effect. When the communication device 800 is a network-side device, the program or instruction executed by the processor 801 implements the above. Figures 4 to 8 The steps in the method embodiments are the same and can achieve the same technical effect, so they will not be repeated here to avoid repetition.

[0486] 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... Figures 4 to 8 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 9 The wireless communication device shown. Specifically, Figure 12 A schematic diagram of the hardware structure of a terminal to implement an embodiment of this application.

[0487] 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.

[0488] 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 12 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.

[0489] 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.

[0490] 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.

[0491] 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.

[0492] 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.

[0493] Among them, the radio frequency unit 901 receives the first information from the second device;

[0494] The processor 910 is used to perform the first operation;

[0495] The first operation includes at least one of the following:

[0496] Obtain the second information based on the first information;

[0497] Send the second information to the second device;

[0498] The first information includes at least one of the following:

[0499] The first indication information is used to instruct the first device to report position estimation information and position measurement information;

[0500] The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device;

[0501] The third indication information is used to indicate the type of auxiliary information reported by the first device;

[0502] The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time;

[0503] The fifth indication information is used to indicate the type of measurement information requested by the second device;

[0504] The sixth indication information is used to indicate the type of measurement information preferred by the second device;

[0505] The seventh instruction information is used to indicate at least one timed reporting granularity factor;

[0506] The second information includes at least one of the following:

[0507] There are M instances of location measurement information, where M is a positive integer;

[0508] N instances of location estimation information, where N is a positive integer;

[0509] First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

[0510] It is understood that the implementation process of each implementation method mentioned in this embodiment can be referred to the method embodiment. Figures 4 to 8 The relevant descriptions and the achievement of the same or corresponding technical effects will not be repeated here to avoid duplication.

[0511] 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... Figures 4 to 8 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.

[0512] Specifically, embodiments of this application also provide a network-side device, which can be... Figure 9 The wireless communication device shown. (As shown) Figure 13 As 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.

[0513] 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.

[0514] The baseband device 1003 may include, for example, at least one baseband board on which multiple chips are disposed, such as... Figure 13 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.

[0515] The network-side device may also include a network interface 1006, such as a Common Public Radio Interface (CPRI).

[0516] 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 9 The methods executed by each module shown achieve the same technical effect, and to avoid repetition, they will not be described in detail here.

[0517] In some embodiments, the radio frequency device 1002 is used to receive first information from a second device; the processor 1004 is used to perform a first operation. The first operation includes at least one of the following:

[0518] Obtain the second information based on the first information;

[0519] Send the second information to the second device;

[0520] The first information includes at least one of the following:

[0521] The first indication information is used to instruct the first device to report position estimation information and position measurement information;

[0522] The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device;

[0523] The third indication information is used to indicate the type of auxiliary information reported by the first device;

[0524] The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time;

[0525] The fifth indication information is used to indicate the type of measurement information requested by the second device;

[0526] The sixth indication information is used to indicate the type of measurement information preferred by the second device;

[0527] The seventh instruction information is used to indicate at least one timed reporting granularity factor;

[0528] The second information includes at least one of the following:

[0529] There are M instances of location measurement information, where M is a positive integer;

[0530] N instances of location estimation information, where N is a positive integer;

[0531] First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

[0532] Specifically, embodiments of this application also provide a network-side device. For example... Figure 14 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 10 The wireless communication device shown. The network interface 1102 is, for example, a common public radio interface (CPRI).

[0533] 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 10 The methods executed by each module shown achieve the same technical effect, and to avoid repetition, they will not be described in detail here.

[0534] In some embodiments, the network-side device 1100 can send first information to the first device through the network interface 1102 and receive second information from the first device.

[0535] The first information includes at least one of the following:

[0536] The first indication information is used to instruct the first device to report position estimation information and position measurement information;

[0537] The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device;

[0538] The third indication information is used to indicate the type of auxiliary information reported by the first device;

[0539] The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time;

[0540] The fifth indication information is used to indicate the type of measurement information requested by the second device;

[0541] The sixth indication information is used to indicate the type of measurement information preferred by the second device;

[0542] The seventh instruction information is used to indicate at least one timed reporting granularity factor;

[0543] The second information includes at least one of the following:

[0544] There are M instances of location measurement information, where M is a positive integer;

[0545] N instances of location estimation information, where N is a positive integer;

[0546] First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

[0547] 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. Figures 4 to 8 The various processes in the method embodiments can achieve the same technical effect, and will not be described again here to avoid repetition.

[0548] 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.

[0549] 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. Figures 4 to 8 The various processes in the method embodiments can achieve the same technical effect, and will not be described again here to avoid repetition.

[0550] 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.

[0551] 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. Figures 4 to 8 The various processes in the method embodiments can achieve the same technical effect, and will not be described again here to avoid repetition.

[0552] This application also provides a communication system, including a first device and a second device. The first device can be used to perform the steps executed by the first device in the information reporting method described above, and the second device can be used to perform the steps executed by the second device in the information reporting method described above.

[0553] 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 reverse order, depending on the functions involved.

[0554] For example, the described methods can be performed in a different order than described, and various steps can be added, omitted, or combined. Furthermore, features described with reference to some examples can be combined in other examples.

[0555] 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.

[0556] 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. An information reporting method, characterized in that, include: The first device receives the first information from the second device; The first device performs the first operation; The first operation includes at least one of the following: Obtain the second information based on the first information; Send the second information to the second device; The first information includes at least one of the following: The first indication information is used to instruct the first device to report position estimation information and position measurement information; The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device; The third indication information is used to indicate the type of auxiliary information reported by the first device; The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time; The fifth indication information is used to indicate the type of measurement information requested by the second device; The sixth indication information is used to indicate the type of measurement information preferred by the second device; The seventh instruction information is used to indicate at least one timed reporting granularity factor; The second information includes at least one of the following: There are M instances of location measurement information, where M is a positive integer; N instances of location estimation information, where N is a positive integer; First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

2. The method according to claim 1, characterized in that, The third indication information is used to indicate the type of auxiliary information reported by the first device, including at least one of the following: Configuration information of the reference signal, wherein the reference signal is used for the positioning of the terminal; Regional related auxiliary information.

3. The method according to claim 2, characterized in that, The configuration information of the reference signal includes at least one of the following: The signal bandwidth of the reference signal; The index of the starting physical resource block (PRB) occupied by the reference signal; Common reference points for resource block grids; Reference signal resource comb size.

4. The method according to claim 2 or 3, characterized in that, The relevant auxiliary information for the region includes at least one of the following: The region identifier corresponding to the valid region; At least one list of cell identifiers; The first association identifier for valid region associations; Each cell identifier list includes at least one of the following: The global cell identifier corresponding to the target cell; The physical cell identifier corresponding to the target cell; The absolute radio channel number (ARFCN) corresponding to the target cell; The first association identifier associated with the target cell; At least one positioning reference signal identifier, wherein the at least one positioning reference signal identifier is associated with a target cell; The first associated identifier is associated with the at least one positioning reference signal identifier; The location coordinates of the at least one Transmitter / Receiver Point (TRP).

5. The method according to any one of claims 1-4, characterized in that, The fifth indication information is used to indicate that the type of measurement information requested by the second device includes at least one of the following: Channel sampling points, channel path.

6. The method according to any one of claims 1-5, characterized in that, The sixth indication information used to indicate the measurement information type preferred by the second device includes at least one of the following: Channel sampling points, channel path.

7. The method according to any one of claims 1-6, characterized in that, The first information includes the third indication information, and the second information includes the first auxiliary information, wherein the first auxiliary information is auxiliary information of the type indicated by the third indication information.

8. The method according to any one of claims 1-7, characterized in that, The first information includes the fourth indication information, which indicates the number of location measurement information instances reported by the first device at one time. M is equal to the number indicated by the fourth indication information, or M is less than or equal to the number indicated by the fourth indication information; or The first information includes the fourth indication information, which is used to indicate the number of location estimation information instances reported by the first device at one time. The N is equal to the number indicated by the fourth indication information, or the N is less than or equal to the number indicated by the fourth indication information.

9. The method according to any one of claims 1-8, characterized in that, The first information includes fifth indication information, which indicates that the measurement information requested by the second device is of the channel path type, and that the measurement information associated with the M location measurement information instances is of the channel path type; or The first information includes a fifth indication information, which indicates that the measurement information requested by the second device is of the type of channel sampling point, and the measurement information associated with the M location measurement information instances is of the type of channel sampling point.

10. The method according to any one of claims 1-9, characterized in that, The first information includes a sixth indication, which indicates that the measurement information type preferred by the second device is channel path, and the measurement information type associated with the M location measurement information instances is channel path or channel sampling point; or The first information includes a sixth indication information, which indicates that the measurement information type preferred by the second device is a channel sampling point, and the measurement information type associated with the M location measurement information instances is a channel sampling point or a channel path.

11. The method according to any one of claims 1-10, characterized in that, The seventh indication information is used to indicate a timing reporting granularity factor. When the measurement information type associated with the M location measurement information instances is a channel path or channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined based on this timing reporting granularity factor; or The seventh indication information is used to indicate two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel path, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the first timing reporting granularity factor among the two timing reporting granularity factors; when the measurement information type associated with the M location measurement information instances is a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the second timing reporting granularity factor among the two timing reporting granularity factors; or The seventh indication information is used to indicate two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel path, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the second timing reporting granularity factor among the two timing reporting granularity factors. When the measurement information type associated with the M location measurement information instances is a channel sampling point, the timing reporting granularity factor corresponding to the reporting of the M location measurement information instances is determined according to the first timing reporting granularity factor among the two timing reporting granularity factors.

12. The method according to any one of claims 1-11, characterized in that, M is greater than or equal to N.

13. The method according to any one of claims 1-12, characterized in that, The M instances of location measurement information and the N instances of location estimation information have a first correlation relationship.

14. The method according to claim 13, characterized in that, The first association includes at least one of the following: When M equals N, the M instances of location measurement information and the N instances of location estimation information are associated one-to-one; When M is greater than N, the N location estimation information instances are associated one-to-one with the specific N location measurement information instances among the M location measurement information instances.

15. The method according to claim 13 or 14, characterized in that, The first information includes eighth indication information, which is used to indicate the first association relationship; or The second information includes a ninth indication, which is used to indicate the first association.

16. The method according to any one of claims 1-15, characterized in that, The method further includes: The first device sends first capability information to the second device, the first capability information including at least one of the following: The first device supports simultaneously reporting location measurement information and location estimation information; The number of location measurement information instances that the first device can report in a single report; The number of location estimation information instances that the first device can report in a single report; The number of data pairs that the first device can report in a single report, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance; The first device supports a certain number of cached or stored location measurement information instances; The first device supports the number of cached or stored location estimation information instances; The first device supports a number of cached or stored data pairs, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance.

17. The method according to any one of claims 1-16, characterized in that, The first device receives first information from the second device, including: The first device receives a first request from the second device, the first request including the first information, wherein the first request is used to request location information; or The first device receives a second request from the second device, the second request including the first information, wherein the second request is used to request the execution of a measurement.

18. The method according to claim 17, characterized in that, The second information includes the first response, which is used to provide location information; or The second information is included in the second response, which is used to provide measurement information.

19. An information reporting method, characterized in that, include: The second device sends the first information to the first device; The second device receives second information from the first device; The first information includes at least one of the following: The first indication information is used to instruct the first device to report position estimation information and position measurement information; The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device; The third indication information is used to indicate the type of auxiliary information reported by the first device; The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time; The fifth indication information is used to indicate the type of measurement information requested by the second device; The sixth indication information is used to indicate the type of measurement information preferred by the second device; The seventh instruction information is used to indicate at least one timed reporting granularity factor; The second information includes at least one of the following: There are M instances of location measurement information, where M is a positive integer; N instances of location estimation information, where N is a positive integer; First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

20. The method according to claim 19, characterized in that, The third indication information is used to indicate the type of auxiliary information reported by the first device, including at least one of the following: Configuration information of the reference signal, wherein the reference signal is used for the positioning of the terminal; Regional related auxiliary information.

21. The method according to claim 19 or 20, characterized in that, The method further includes: The second device receives first capability information from the first device, the first capability information including at least one of the following: The first device supports simultaneously reporting location measurement information and location estimation information; The number of location measurement information instances that the first device can report in a single report; The number of location estimation information instances that the first device can report in a single report; The number of data pairs that the first device can report in a single report, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance; The first device supports a certain number of cached or stored location measurement information instances; The first device supports the number of cached or stored location estimation information instances; The first device supports a number of cached or stored data pairs, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance.

22. The method according to any one of claims 19-21, characterized in that, The second device sends first information to the first device, including: The second device sends a first request to the first device, the first request including the first information, wherein the first request is used to request location information; or The second device sends a second request to the first device, the second request including the first information, wherein the second request is used to request the execution of a measurement.

23. The method according to claim 22, characterized in that, The second information includes the first response, which is used to provide location information; or The second information is included in the second response, which is used to provide measurement information.

24. A wireless communication device, characterized in that, The wireless communication device is a first device, or is disposed in a first device, the wireless communication device comprising: The receiving module is used to receive first information from the second device; The processing module is used to perform the first operation; The first operation includes at least one of the following: Obtain the second information based on the first information; Send the second information to the second device; The first information includes at least one of the following: The first indication information is used to instruct the first device to report position estimation information and position measurement information; The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device; The third indication information is used to indicate the type of auxiliary information reported by the first device; The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time; The fifth indication information is used to indicate the type of measurement information requested by the second device; The sixth indication information is used to indicate the type of measurement information preferred by the second device; The seventh instruction information is used to indicate at least one timed reporting granularity factor; The second information includes at least one of the following: There are M instances of location measurement information, where M is a positive integer; N instances of location estimation information, where N is a positive integer; First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

25. The apparatus according to claim 24, characterized in that, The wireless communication device further includes: The sending module is configured to send first capability information to the second device, wherein the first capability information includes at least one of the following: The first device supports simultaneously reporting location measurement information and location estimation information; The number of location measurement information instances that the first device can report in a single report; The number of location estimation information instances that the first device can report in a single report; The number of data pairs that the first device can report in a single report, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance; The first device supports a certain number of cached or stored location measurement information instances; The first device supports the number of cached or stored location estimation information instances; The first device supports a number of cached or stored data pairs, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance.

26. A wireless communication device, characterized in that, The wireless communication device is a second device, or is disposed in a second device, the wireless communication device comprising: The sending module is used to send first information to the first device; A receiving module is configured to receive second information from the first device; The first information includes at least one of the following: The first indication information is used to instruct the first device to report position estimation information and position measurement information; The second indication information is used to indicate the auxiliary information associated with the location estimation information and / or the location measurement information reported by the first device; The third indication information is used to indicate the type of auxiliary information reported by the first device; The fourth indication information is used to indicate the number of location estimation information instances and / or the number of location measurement information instances reported by the first device at one time; The fifth indication information is used to indicate the type of measurement information requested by the second device; The sixth indication information is used to indicate the type of measurement information preferred by the second device; The seventh instruction information is used to indicate at least one timed reporting granularity factor; The second information includes at least one of the following: There are M instances of location measurement information, where M is a positive integer; N instances of location estimation information, where N is a positive integer; First auxiliary information, which is associated with the M location measurement information instances and / or the N location estimation information instances.

27. The apparatus according to claim 26, characterized in that, The wireless communication device further includes: The receiving module is configured to receive first capability information from the first device, wherein the first capability information includes at least one of the following: The first device supports simultaneously reporting location measurement information and location estimation information; The number of location measurement information instances that the first device can report in a single report; The number of location estimation information instances that the first device can report in a single report; The number of data pairs that the first device can report in a single report, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance; The first device supports a certain number of cached or stored location measurement information instances; The first device supports the number of cached or stored location estimation information instances; The first device supports a number of cached or stored data pairs, wherein a data pair includes a location measurement information instance and a location estimation information instance associated with the location measurement information instance.

28. A communication 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 information reporting method as described in any one of claims 1 to 18.

29. A communication 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 information reporting method as described in any one of claims 19 to 23.

30. A readable storage medium, characterized in that, The readable storage medium stores a program or instructions, which, when executed by a processor, implement the information reporting method as described in any one of claims 1-18, or implement the steps of the information reporting method as described in any one of claims 19-23.

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