Method for wireless communication, terminal device and network device

Description

1 / 78 METHOD FOR WIRELESS COMMUNICATION, TERMINAL DEVICE AND NETWORK DEVICE FIELD OF TECHNIQUE

[001] The embodiments of the present disclosure relate to the field of communications and, in particular, to methods for wireless communication, a terminal device and a network device. BACKGROUND

[002] In a New Radio (NR) system, the location of a terminal device is considered to be estimated using an Artificial Intelligence (AI) model or a Machine Learning (ML) model.

[003] In some scenarios, AI / ML function recognition and AI / ML model recognition are considered to be introduced into AI model-based positioning or ML model-based positioning. How to define the AI / ML function, the AI / ML model, and the relationship between the AI / ML function and the AI / ML model to implement AI / ML model-based positioning is an urgent problem to be solved. SUMMARY

[004] This disclosure provides methods for wireless communication, a terminal device and a network device, which provide a definition of a model function for positioning, thereby achieving model-based positioning.

[005] In a first aspect, a method for wireless communication is provided, including that: a terminal device sends at least one initial piece of information to a network device, wherein the initial information includes Petition 870250088521, dated 09 / 30 / 2025, page 8 / 208 2 / 78 parameter information related to a positioning model function supported by the terminal device; and the network device sends the initial configuration information to the terminal device, where the initial configuration information includes: configuration information related to a positioning model function and / or configuration information related to a positioning model.

[006] In a second aspect, a method for wireless communication is provided, including that: a network device receives at least one first piece of information sent by a terminal device, wherein the first piece of information is parameter information relating to a model function for positioning supported by the terminal device; and the network device sends the first configuration information to the terminal device, wherein the first configuration information includes: configuration information relating to a model function for positioning and / or configuration information relating to a model for positioning, and the first configuration information is determined according to at least one first piece of information.

[007] In a third aspect, a terminal device is provided that is configured to execute the method in the first aspect mentioned above or in several implementations thereof.

[008] Specifically, the terminal device includes functional modules configured to execute the method in the first aspect mentioned above or in various implementations thereof. Petition 870250088521, dated 09 / 30 / 2025, page 9 / 208 3 / 78

[009] In a fourth aspect, a network device is provided that is configured to perform the method in the second aspect mentioned above, or several implementations thereof.

[0010] Specifically, the network device includes functional modules configured to execute the method in the second aspect mentioned above or in various implementations thereof.

[0011] In a fifth aspect, a terminal device is provided including a processor and memory. The memory is configured to store a computer program, and the processor is configured to invoke and execute the computer program stored in memory to execute the method in the first aspect mentioned above or various implementations thereof.

[0012] In a sixth aspect, a network device is provided including a processor and memory. The memory is configured to store a computer program and the processor is configured to invoke and execute the computer program stored in memory to perform the method in the second aspect mentioned above or various implementations thereof.

[0013] In a seventh aspect, a chip is provided configured to implement the method in either the first and second aspects mentioned above or in several implementations thereof. Specifically, the chip includes a processor configured to invoke and execute a computer program from memory, to enable a device on which the chip is mounted to execute the method in either the first and second aspects mentioned. Petition 870250088521, dated 09 / 30 / 2025, page 10 / 208 4 / 78 above, or various implementations thereof.

[0014] In an eighth aspect, a computer-readable storage medium is provided that is configured to store a computer program that causes a computer to execute the method in either of the first and second aspects mentioned above or various implementations thereof.

[0015] In a ninth aspect, a computer program product is provided that includes computer program instructions that cause a computer to execute the method in either of the first and second aspects mentioned above or various implementations thereof.

[0016] In a tenth aspect, a computer program is provided, the computer program, when executed on a computer, causes the computer to perform the method in either one of the first and second aspects mentioned above, or in various implementations thereof.

[0017] According to the technical scheme above, the terminal device can send at least one initial piece of information to the network device, and this initial information includes parameter information related to a positioning model function supported by the terminal device. That is, the initial information can determine the positioning model function supported by the terminal device. Furthermore, the network device can send initial configuration information to the terminal device, and this initial configuration information includes: configuration information related to the positioning model function and / or configuration information related to the positioning model itself. Or Petition 870250088521, dated 09 / 30 / 2025, page 11 / 208 5 / 78 That is, the initial configuration information can be used to configure the model's function for positioning and / or the model for positioning. In this way, model-based positioning is performed. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a schematic diagram of a communication system architecture according to an embodiment of the present disclosure.

[0019] Figure 2 is a schematic structural diagram of a neuron.

[0020] Figure 3 is a schematic diagram of a neural network according to the present disclosure.

[0021] Figure 4 is a schematic diagram of a convolutional neural network according to the present disclosure.

[0022] Figure 5 is a schematic diagram of a Long Short Term Memory (LSTM) unit according to the present disclosure.

[0023] Figure 6 is a schematic diagram of a positioning method in the related technique.

[0024] Figure 7 is a schematic diagram of another positioning technology in the related technique.

[0025] Figure 8 is a schematic diagram of a model-based positioning scheme.

[0026] Figure 9 is a schematic interaction diagram of a method for wireless communication according to an embodiment of the present disclosure.

[0027] Figure 10 is a schematic interaction diagram of another method for wireless communication according to an embodiment of the present disclosure. Petition 870250088521, dated 09 / 30 / 2025, page 12 / 208 6 / 78

[0028] Figure 11 is a schematic interaction diagram of yet another method for wireless communication according to an embodiment of the present disclosure.

[0029] Figure 12 is a schematic block diagram of a terminal device according to an embodiment of the present disclosure.

[0030] Figure 13 is a schematic block diagram of a network device according to an embodiment of the present disclosure.

[0031] Figure 14 is a schematic block diagram of a communication device according to an embodiment of the present disclosure.

[0032] Figure 15 is a schematic block diagram of a chip according to an embodiment of the present disclosure.

[0033] Figure 16 is a schematic block diagram of a communication system according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] The technical schemes of the embodiments of the present disclosure would be described together with the attached drawings in the embodiments of the present disclosure. It is evident that the embodiments described are only part, not all, of the embodiments of the present disclosure. All other embodiments obtained by those skilled in the art with respect to the embodiments of the present disclosure without creative effort shall be within the scope of protection of the present disclosure.

[0035] The technical schemes in the forms of this disclosure can be applied to various communication systems, such as: a Global Mobile Communication System Petition 870250088521, dated 09 / 30 / 2025, p. 13 / 208 7 / 78 (GSM), a Code Division Multiple Access System (CDMA), a Wideband Code Division Multiple Access System (WCDMA), a General Packet Radio Service (GPRS), a Long Term Evolution (LTE) system, a Long Term Advanced Evolution (LTE-A) system, a New Radio (NR) system, an evolution to the NR system, an LTE-based Unlicensed Spectrum Access system (LTE-U), an NR-based Unlicensed Spectrum Access system (NR-U), a Non-Terrestrial Network (NTN) system, a Universal Mobile Telecommunications System (UMTS), a Wireless Local Area Network (WLAN), a Wireless Fidelity (Wi-Fi) system, a 5th generation (5G) system, or other communication systems.

[0036] In general, traditional communication systems support a limited number of connections and are easy to implement. However, with the development of communication technology, mobile communication systems will not only support traditional communication, but will also support, for example, Device-to-Device (D2D) communication, Machine-to-Machine (M2M) communication, Machine-Type Communication (MTC), Vehicle-to-Vehicle (V2V) communication, or Vehicle-to-Everything (V2X) communication, etc. The embodiments of the present disclosure may also be applied to these communication systems.

[0037] Optionally, the communication system in the modalities of this disclosure may be applied to a Carrier Aggregation (CA) scenario, a Dual Connectivity (DC) scenario, and an Autonomous Network Distribution (AS) scenario.

[0038] Optionally, the communication system Petition 870250088521, dated 09 / 30 / 2025, page 14 / 208 8 / 78 in the embodiments of this disclosure may be applied to an unlicensed spectrum, and the unlicensed spectrum may also be considered as a shared spectrum. Optionally, the communication system in the embodiments of this disclosure may also be applied to a licensed spectrum, and the licensed spectrum may also be considered as an unshared spectrum.

[0039] The embodiments of this disclosure are described in connection with a network device and a terminal device. The terminal device may also be referred to as User Equipment (UE), an access terminal, a user unit, a user station, a mobile station, a remote station, a remote terminal, a mobile device, a user terminal, a terminal, a wireless communication device, a user agent, or a user device, etc.

[0040] The terminal device can be a Station (STA) on the WLAN, a cell phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Area Link (WLL) station, a Personal Digital Assistant (PDA) device, a portable device with wireless communication function, a computing device or other processing device connected to a wireless modem, a vehicle-mounted device, a wearable device, a terminal device in a next-generation communication system such as an NR network, or a terminal device in a future-evolved Public Terrestrial Mobile Network (PLMN), etc.

[0041] In the embodiments of the present disclosure, the terminal device may be deployed on land, and include Petition 870250088521, dated 09 / 30 / 2025, page 15 / 208 9 / 78 internal or external device, portable device, wearable device, or vehicle-mounted device. The terminal device can also be deployed in water (such as on ships, etc.). The terminal device can also be deployed in the air (such as on airplanes, balloons, and satellites, etc.).

[0042] In the embodiments of the present disclosure, the terminal device may be a mobile phone, a Pad, a computer with wireless transceiver function, a Virtual Reality (VR) terminal device, an Augmented Reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in autonomous driving, a wireless terminal device in remote medicine, a wireless terminal device in the smart network, a wireless terminal device in transport security, a wireless terminal device in the smart city, or a wireless terminal device in the smart home, etc.

[0043] By way of example, but not as a limitation, in embodiments of the present disclosure, the terminal device may also be a wearable device. The wearable device may also be referred to as a smart wearable device, which is a general term for wearable devices that are intelligently designed and developed by applying wearable technology to everyday use, such as eyeglasses, gloves, watches, clothing, and shoes. The wearable device is a portable device that is worn directly on the body or integrated into the user's clothing or accessories. The wearable device is not only a type of hardware device but also performs powerful functions through software support, data interaction, and cloud interaction. Petition 870250088521, dated 09 / 30 / 2025, page 16 / 208 10 / 78 The widespread wearable smart device has comprehensive functions and a large size, and the widespread wearable smart device can perform complete or partial functions without relying on smartphones, such as smartwatches or smart glasses, and the widespread wearable smart device focuses only on certain application functions and needs to be used in conjunction with other devices (such as smartphones), such as various smart bracelets and smart jewelry to monitor physical signals.

[0044] In the embodiments of the present disclosure, the network device may be a device configured to communicate with a mobile device, and the network device may be an access point (AP) in WLAN, a Base Transceiver Station (BTS) in GSM or CDMA, a NodeB (NB) in WCDMA, an evolved Node B (eNB or eNodeB) in LTE, a relay station or access point, a vehicle-mounted device, a wearable device, a network device (or gNB) in the NR network, a network device in the future evolved PLMN network or a network device in the NTN network, etc.

[0045] By way of example, without limitation, in the embodiments of the present disclosure, the network device may have mobility characteristics, for example, the network device may be a mobile device. Optionally, the network device may be a satellite, a balloon station. For example, the satellite may be a Low Earth Orbit (LEO) satellite, a Medium Earth Orbit (MEO) satellite, a Geostationary Orbit (GEO) satellite, a High Elliptical Orbit (HEO) satellite, and the like. Optionally, the network device may also be a base station located Petition 870250088521, dated 09 / 30 / 2025, p. 17 / 208 11 / 78 on land, water, etc.

[0046] In the embodiments of this disclosure, the network device may provide services to a cell, and the terminal device communicates with the network device through transmission resources (e.g., frequency domain resources, or spectrum resources) used by the cell. The cell may be a cell corresponding to the network device (e.g., base station), and the cell may belong to a macro base station or a base station corresponding to a small cell. The small cell may include a metrocell, a microcell, a picocell, a femtocell, etc. These small cells have characteristics of small coverage and low transmission power, and small cells are suitable for providing high-speed data transmission services.

[0047] By way of example, Figure 1 illustrates a communication system 100 to which the embodiments of the present disclosure are applied. The communication system 100 may include a network device(s) 110 and a terminal device(s) 120 (or referred to as a communication terminal, or terminal) with a communication function. The network device 110 may provide communication coverage for a particular geographic area and may communicate with terminal devices located within the coverage.

[0048] Figure 1 illustrates, by way of example, a network device and two terminal devices. Optionally, the communication system 100 may include multiple network devices, and other numbers of terminal devices may be included in the coverage of each network device, which is not limited by Petition 870250088521, dated 09 / 30 / 2025, p. 18 / 208 12 / 78 modalities of the present disclosure.

[0049] Optionally, the communication system 100 may also include other network entities, such as network controllers, mobility management entities, etc., which are not limited by the embodiments of this disclosure.

[0050] It should be understood that devices with communication functions in the network or system in the embodiments of this disclosure may be referred to as communication devices. The communication system 100 illustrated in Figure 1 is taken as an example; the communication device may include a network device 110 and terminal devices 120 that both have the communication function, and the network device 110 and the terminal devices 120 may be the devices described above, which will not be described in this document. The communication device may also include other devices in the communication system 100, such as network controllers, mobility management entities, and other network entities, which are not limited to the embodiments of this disclosure.

[0051] It should be understood that the terms system and network are often used interchangeably in this document. In this disclosure, the term and / or is merely an association relation that describes associated objects and represents that three relationships can exist. For example, A and / or B can represent three conditions: namely, independent existence of A, existence of A and B, and independent existence of B. Furthermore, the character / in this disclosure generally indicates that the relationship between the related objects is either or. Petition 870250088521, dated 09 / 30 / 2025, page 19 / 208 13 / 78

[0052] It should be understood that the indication mentioned in the modalities of this disclosure may be a direct indication, may be an indirect indication, or may be indicative of an association. For example, A indicates B, which may mean that A directly indicates B, for example, B can be obtained through A; it may also mean that A indirectly indicates B, for example, A indicates C, and B can be obtained through C; and it may also indicate that there is an association between A and B.

[0053] In describing the modalities of the present disclosure, the term correspond may mean that there is a direct correspondence or an indirect correspondence between the two, it may also mean that there is a relationship of association between the two, and it may also be a relationship between indication and being indicated, configuration and being configured, etc.

[0054] In embodiments of the present disclosure, the default can be achieved through the pre-storage of corresponding codes, tables, or other means used to indicate relevant information in devices (for example, including terminal devices and network devices), and the specific implementation thereof is not limited in the present disclosure. For example, default can refer to that which is defined in the protocol.

[0055] In the embodiments of this disclosure, the protocol may be a standard protocol in the field of communication. For example, the protocol may include an LTE protocol, an NR protocol, and related protocols applied in future communication systems, which are not limited to the present disclosure.

[0056] In order to facilitate understanding of Petition 870250088521, dated 09 / 30 / 2025, page 20 / 208 14 / 78 technical diagrams of the modalities of the present disclosure, a neural network related to the present disclosure will be described.

[0057] A neural network is an operational model formed by multiple interconnected neuron nodes. The connections between the nodes represent the weighted values ​​of the input signals for the output signal and are called weights. The weighted sum (SUM) is performed on different input signals at each node and output through a specific activation function (denoted as f). Figure 2 is a schematic structural diagram of neurons. In this document, al, a2, ..., an represent the input signals, w1, w2, ..., wn represent the weights, f represents the activation function, and et represents the output.

[0058] A simple neural network, as shown in Figure 3, includes an input layer, hidden layers, and an output layer. Through different forms of connection between various neurons, weights, and activation functions, different outputs can be generated, and then the mapping of the relationship between inputs and outputs can be adjusted. In this document, each node of the previous level is connected to all its nodes of the next level, and this neural network is a fully connected neural network, which can also be called a Deep Neural Network (DNN).

[0059] Deep learning adopts DNNs with multiple hidden layers, which significantly improves the network's feature learning capacity, allowing for the adjustment of complex non-linear mapping from inputs to output, and is widely used in the fields of speech processing and image processing. In addition to DNNs, for different tasks, deep learning also includes structures Petition 870250088521, dated 09 / 30 / 2025, page 21 / 208 15 / 78 commonly used basic frameworks, such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs).

[0060] The basic structure of a convolutional neural network includes: an input layer, multiple convolutional layers, multiple pooling layers, a fully connected layer, and an output layer, as shown in Figure 4. In the convolutional layer, each neuron of a convolutional core is locally connected to the neuron inputs, and the pooling layer is introduced to extract maximum or average local features of a certain layer, which effectively reduces the network parameters and exploits local features, so that the convolutional neural network can converge quickly and achieve excellent performance.

[0061] An RNN is a neural network that models sequence data. It has achieved remarkable feats in the field of natural language processing, such as machine translation and speech recognition. Specifically, information from the past moment is memorized by the network and used in calculating the current output. That is, the nodes between the hidden layers are no longer disconnected, but connected, and the inputs of the hidden layers include not only the current input from the input layer, but also the outputs of the hidden layers at the previous moment. Commonly used RNNs include structures such as the Long Short-Term Memory (LSTM) network and the Gated Recurrent Unit (GRU). Figure 5 shows a basic structure of the LSTM unit that may include the tanh activation function.Unlike RNNs, where only the ultimate state is considered, the cellular state of LSTM can determine which states to retain and which states to discard, thus resolving the shortcomings of traditional RNNs in long-term memory. Petition 870250088521, dated 09 / 30 / 2025, page 22 / 208 16 / 78

[0062] In order to facilitate understanding of the technical schemes of the modalities of the present disclosure, the positioning method related to the present disclosure will be described.

[0063] In the related technique, the positioning method can be classified into the following categories: a UE-based positioning method, a UE-assisted or Location Management Function (LMF)-based positioning method, and a network node-assisted positioning method.

[0064] For the UE-based positioning method, the terminal directly calculates the location of the target UE.

[0065] For the UE-assisted / LMF-based positioning method, the terminal reports the measurement results to the LMF, and the LMF calculates the location of the target UE based on the collected measurement results.

[0066] For the network node-assisted positioning method (e.g., NG-RAN node-assisted), the base station reports the Transmit / Receive Point (TRP) measurement results to the LMF, and the LMF calculates the target UE location based on the collected measurement results.

[0067] In the traditional positioning method, for different methods, the UE or LMF estimates the location of the target UE using traditional algorithms, such as Chan's algorithm, Taylor expansion, and other algorithms.

[0068] To support multiple positioning methods, a Positioning Reference Signal (PRS) is introduced in the downlink and a Probing Reference Signal (SRS) for positioning is introduced in the link Petition 870250088521, dated 09 / 30 / 2025, page 23 / 208 17 / 78 ascending.

[0069] The NR-based positioning function mainly involves three parts: a terminal (i.e., UE), several TRPs, and a location server. In this document, several TRPs around the terminal participate in cellular positioning; and a base station can be a TRP, or a base station can have several TRPs. The location server is responsible for a positioning stream. The location server may include the LMF.

[0070] The downlink-based positioning method can be further classified into the following two categories: a EU-assisted positioning method and an EU-based positioning method. 1. EU-Assisted Positioning Method

[0071] In this document, the UE is responsible for the positioning-related measurements, and the network calculates the location information based on the measurement results reported by the UE. 2. EU-BASED POSITIONING METHOD

[0072] In this document, the UE performs the positioning-related measurements and calculates the location information based on the measurement results.

[0073] One of the downlink-based positioning methods (such as the UE-assisted positioning method) is taken as an example to explain a basic positioning flow, as shown in Figure 6.

[0074] In step 1, a location server notifies a configuration related to TRP.

[0075] The TRP-related configuration may include: PRS configuration information and / or a type of Petition 870250088521, dated 09 / 30 / 2025, page 24 / 208 18 / 78 measurement result that must be reported by the terminal, etc.

[0076] In step 2, the TRP sends a PRS.

[0077] In step 3, the UE receives the PRS and performs a measurement.

[0078] In this document, according to different positioning methods, the measurement results required by the EU may also be different.

[0079] In step 4, the UE can send the measurement result to the location server.

[0080] For example, the UE sends back the measurement result to the location server via the base station.

[0081] In step 5, the location server calculates location-related information.

[0082] Figure 6 illustrates an execution flow of a UE-assisted positioning method. For the UE-based positioning method, in step 4 mentioned above, the UE can directly calculate the location-related information according to the measurement result and does not need to report the measurement result to the location server, and then the calculation is performed by the location server. In the UE-based positioning method, the UE needs to know the location information corresponding to the TRP, and therefore the network needs to notify the UE of the location information corresponding to the TRP in advance.

[0083] One of the upward link-based placement methods is taken as an example to explain a basic placement flow, as shown in Figure 7, and the basic placement flow includes the following steps.

[0084] In step 1, a location server Petition 870250088521, dated 09 / 30 / 2025, page 25 / 208 19 / 78 notifies about TRP-related settings.

[0085] In stage 2, a base station sends related signaling to the EU.

[0086] In step 3, the UE sends an uplink signal, such as SRS for positioning, according to the related training.

[0087] In step 4, the TRP measures the SPS for positioning and sends a measurement result to the location server.

[0088] In step 5, the location server calculates location-related information.

[0089] The model can be combined with any positioning method to replace the traditional algorithm for estimating the terminal device location, thus improving accuracy. The model can be deployed on the UE side or the LMF side, or both on the UE and LMF sides. The combination of the model and the positioning method can be classified into: model-based direct positioning method and model-assisted positioning method. As shown in Figure 8, for the model-based direct positioning method, the terminal device location is determined directly according to the input information, and for the model-assisted positioning method, an intermediate result is determined according to the input information and the terminal device location is determined according to a positioning algorithm.

[0090] In the model-based positioning method, the introduction of AI / ML function recognition and AI / ML model recognition is considered. Petition 870250088521, dated 09 / 30 / 2025, page 26 / 208 20 / 78

[0091] For AI / ML function recognition, the network side and the UE side recognize the AI / ML function through the same procedure or method. For the model on the UE side, AI / ML function recognition is reported to the network device via the UE resource. The network device activates / deactivates / falls back / toggles the AI / ML function through signaling such as Radio Resource Control (RRC), Media Access Control Element (MAC CE), and Downlink Control Information (DCI).

[0092] For AI / ML model recognition, the network side and the UE side recognize the AI / ML model through the same procedure or method.

[0093] However, how to define the AI / ML function, the AI / ML model, and the relationship between the AI / ML function and the AI / ML model is an urgent problem to be solved.

[0094] To facilitate understanding of the technical schemes of the embodiments of this disclosure, the technologies related to the embodiments of this disclosure are described below. The following related technologies used as optional solutions can be combined with the technical scheme of the embodiments of this disclosure in various ways, and the combinations belong to the scope of protection of the embodiments of this disclosure.

[0095] Figure 9 is a schematic interaction diagram of a method 200 for wireless communication according to an embodiment of the present disclosure. As shown in Figure 9, method 200 includes at least some of the following operations S210, S220.

[0096] In the S210 operation, a terminal device sends at least one initial piece of information to a device Petition 870250088521, dated 09 / 30 / 2025, page 27 / 208 21 / 78 network.

[0097] Similarly, the network device receives at least one initial piece of information sent by the terminal device.

[0098] In the S220 operation, the network device sends the initial configuration information to the terminal device.

[0099] Similarly, the terminal device receives the initial configuration information sent by the network device.

[00100] In some embodiments, the network device may be a base station (e.g., a gNb) or LMF.

[00101] In some embodiments, the initial information includes parameter information related to a model function for positioning supported by the terminal device. In other words, the initial information is used to determine the model function for positioning supported by the terminal device.

[00102] In some embodiments, the initial configuration information includes: configuration information related to a model function for positioning and / or configuration information related to a model for positioning. In other words, the initial configuration information is used to configure the model function and / or the positioning model for the terminal device.

[00103] In some embodiments, the positioning model is deployed on the terminal device side, the model can be determined according to the initial configuration information and the initial information of Petition 870250088521, dated 09 / 30 / 2025, page 28 / 208 22 / 78 configuration can be determined according to the initial information. The model can be used to determine the location information of the terminal device or it can determine intermediate information from the location information of the terminal device. That is, the first model can be used for direct positioning of the terminal device or it can be used for assisted positioning of the terminal device.

[00104] In some embodiments, intermediate information of the terminal device location information may, for example, include, without limitation, one or more of the following:

[00105] time of arrival (ToA), downlink time difference (DL TDOA), downlink departure angle (DL AoD), reference signal reception power (RSRP), reference signal reception quality (RSRQ), reference signal time difference DL (DL RSTD), line of sight / non-line of sight identification (LOS / NLOS), uplink time difference (UL TDOA), uplink arrival angle (UL AoD), uplink relative time of arrival (UL RTOA) or distance information between the terminal device and the network device.

[00106] Optionally, the network device may be a base station, and the base station may have one TRP or multiple TRPs. Optionally, the distance information between the terminal device and the network device may refer to the intermediate information between the terminal device and one or more TRPs.

[00107] In some modalities, the initial information includes, without limitation, at least one of the following: Petition 870250088521, dated 09 / 30 / 2025, page 29 / 208 23 / 78 following parameters:

[00108] a positioning mode, model input-related information, model output-related information, reference signal-related information, model complexity information, model computational complexity information, or terminal device TEG (Timing Error Group) information.

[00109] In some modes, the positioning mode is either a direct positioning mode or an assisted positioning mode.

[00110] For example, the model function for positioning can be defined at a positioning mode granularity. For example, different positioning modes correspond to different model functions.

[00111] For direct positioning mode, the model output can be the terminal device location information; and for assisted positioning mode, the model output can be intermediate information from the terminal device location information.

[00112] In some modalities, the model's function for positioning can be defined at a granularity of information related to the model's input.

[00113] For example, different input-related information corresponds to different model functions.

[00114] In some embodiments, the model input information includes at least one of the following:

[00115] dimension information of a parameter of Petition 870250088521, dated 09 / 30 / 2025, page 30 / 208 24 / 78 model input or model input parameter type information.

[00116] In some embodiments, the model input parameter dimension information may include, without limitation, the number of TRPs and / or the number of non-zero values ​​in the model input parameters.

[00117] Optionally, the number of TRPs is n, where n is a positive integer, for example, n is 1, 3, 18, etc.

[00118] Optionally, the number of non-zero values ​​in the model's input parameters is m, where m is an integer power of 2, for example, m is 16, 32, 64, 128, 256, etc.

[00119] In some embodiments, the model input parameter location information may be a range of the number of TRPs and / or a range of the number of non-zero values ​​in the model input parameters. For example, different ranges of TRP numbers correspond to different model functions. For example, different ranges of model input parameter numbers correspond to different model functions.

[00120] In some embodiments, the model input parameter type information may include, without limitation, at least one of the following:

[00121] a channel impulse response (CIR), a power delay profile (PDP), ToA, a DL TDOA, a DL AoD, an RSRP, a DL RSTD or an RSRQ.

[00122] Optionally, the model function for positioning can be defined at a granularity of the model's input parameter type. For example, parameters of Petition 870250088521, dated 09 / 30 / 2025, page 31 / 208 25 / 78 model entries with different types correspond to different model functions.

[00123] In some modalities, the model's function for positioning can be defined at a granularity of information related to the model's output.

[00124] For example, different pieces of information related to the model output correspond to different model functions.

[00125] In some embodiments, the model output information includes terminal device location information.

[00126] For example, for direct positioning mode, the model output-related information may be the terminal device location information.

[00127] In some embodiments, the model output information includes intermediate terminal device location information. For example, the model output information includes, without limitation, at least one of the following:

[00128] ToA, DL TDOA, DL AoD, RSRP, RSRQ, DL RSTD, positioning scenario information (such as LOS / NLOS identification information), UL TDOA, UL AoD, UL RTOA, distance information between the terminal device and the network device.

[00129] For example, for assisted positioning mode, the model output-related information may be intermediate information for the terminal device location information.

[00130] In a specific embodiment, when the information related to the model output is the information Petition 870250088521, dated 09 / 30 / 2025, page 32 / 208 26 / 78 terminal device location information corresponds to one function of the model, and when the information related to the model output is the intermediate information of the terminal device location information, it corresponds to another function of the model.

[00131] In some embodiments, the model's function for positioning can be defined at a granularity of information related to the reference signal.

[00132] For example, different information related to the reference signal corresponds to different functions of the model.

[00133] In some modalities, the information related to the reference signal includes information related to PRS and / or information related to SRS. The SRS may be the SRS for positioning.

[00134] In some specific modalities, the model's function for positioning can be defined at a granularity of PRS-related information. For example, different PRS-related information corresponds to different model functions.

[00135] In other specific modalities, the model's function for positioning can be defined at a granularity of information related to the SRS. For example, different information related to the SRS corresponds to different model functions.

[00136] In some modalities, the information related to the PRS includes, without limitation, at least one of the following:

[00137] information related to PRS processing capacity or information related to resources of Petition 870250088521, dated 09 / 30 / 2025, page 33 / 208 27 / 78 PRS.

[00138] In some embodiments, information relating to PRS processing capacity includes, but is not limited to, at least one of the following:

[00139] a maximum PRS bandwidth supported by the terminal device, a maximum number of positioning frequency layers supported by the terminal device, or a maximum number of PRS resources that the terminal device is capable of processing in a slot.

[00140] In some modes, the information relating to the PRS resource includes, without limitation, at least one of the following:

[00141] a maximum number of PRS resource sets for each TRP in each positioning frequency layer, a maximum total number of TRPs across all frequency points, a maximum number of positioning frequency layers supported by the terminal device, a maximum number of PRS resources in each PRS resource set, or a maximum number of PRS resources in each positioning frequency layer.

[00142] In some modalities, the information related to the SRS includes, but is not limited to, at least one of the following:

[00143] information related to SRS processing capacity, type information for an SRS path loss reference signal (reference signal for path loss estimation for SRS), type information of a reference signal for spatial relationship information for SRS (spatial relationship for SRS for positioning based on the reference signal). Petition 870250088521, dated 09 / 30 / 2025, page 34 / 208 28 / 78

[00144] In some embodiments, information relating to SRS processing capability includes, but is not limited to, at least one of the following:

[00145] a maximum number of SRS resource sets for placement in each BWP, a maximum number of SRS resources for placement in each BWP, a maximum number of aperiodic SRS resources for placement in each BWP, a maximum number of periodic SRS resources for placement in each BWP, or a maximum number of semi-persistent SRS resources for placement in each BWP.

[00146] In some implementations, the path loss reference signal type of the SRS may include, without limitation, at least one of the following: a PRS, a Synchronization Signal Block (SSB), or a Channel State Information Reference Signal (CSI-RS).

[00147] Optionally, the above reference signal types can be reference signals for a service cell or they can be reference signals for a neighboring cell.

[00148] In some specific embodiments, the SRS path loss reference signal type information includes, without limitation, at least one of the following:

[00149] if a PRS from a service cell is supported as the SRS path loss reference signal, if a CSI-RS from the service cell is supported as the SRS path loss reference signal, if an SSB signal from a neighboring cell is supported as the SRS path loss reference signal, or if a PRS from the neighboring cell is supported as the SRS path loss reference signal. Petition 870250088521, dated 09 / 30 / 2025, page 35 / 208 29 / 78

[00150] In some embodiments, the reference signal type information for spatial relationship information for SRS may include, without limitation, at least one of: a PRS, an SSB, or a CSI-RS.

[00151] Optionally, the above reference signal types can be service cell reference signals or can be neighboring cell reference signals.

[00152] In some specific embodiments, the reference signal type information for spatial relationship information for SRS includes, without limitation, at least one of the following:

[00153] if a service cell PRS is supported as a reference signal for spatial relationship information for SRS (spatial relationship for SRS for positioning based on the service cell PRS), if a service cell CSI-RS is supported as a reference signal for spatial relationship information for SRS (spatial relationship for SRS for positioning based on the service cell CSIRS), if a neighboring cell SSB is supported as a reference signal for spatial relationship information for SRS (spatial relationship for SRS for positioning based on the neighboring cell SSB), or if a neighboring cell PRS is supported as a reference signal for spatial relationship information for SRS (spatial relationship for SRS for positioning based on the neighboring cell PRS),or if the SRS for positioning in a working band is supported as the reference signal for spatial relationship information for SRS (spatial relationship for SRS for SRS-based positioning).

[00154] In some modalities, the function of the model Petition 870250088521, dated 09 / 30 / 2025, page 36 / 208 30 / 78 for positioning can be defined at a granularity of the model complexity information. For example, different parts of the model complexity information correspond to different model functions.

[00155] In some modalities, model complexity information includes, but is not limited to: the number of model parameters and / or the complexity of the model structure, such as the number of model layers.

[00156] In some specific embodiments, the model complexity information indicates a range of target parameter numbers and / or a range of target layer numbers. The range of target parameter numbers is a range to which several parameters included in a model belong, and the range of target layer numbers is a range to which several layers of the model belong.

[00157] In some embodiments, the target parameter number range is one of several parameter number ranges, and the various parameter number ranges correspond to different numerical intervals. Optionally, different parameter number intervals correspond to different model functions.

[00158] In some modes, the ranges of multiple parameter numbers are configured by the network device or predefined.

[00159] In some embodiments, the target layer number range is one of the multi-layer number ranges, and the multi-layer number ranges correspond to different number ranges. Optionally, different layer number ranges correspond to different model functions. Petition 870250088521, dated 09 / 30 / 2025, page 37 / 208 31 / 78

[00160] In some modes, the range of multiple layers is configured by the network device or predefined.

[00161] In some embodiments, the model function for positioning can be defined at a granularity of computational complexity information of a model. For example, different computational complexity information corresponds to different model functions.

[00162] In some embodiments, the computational complexity information of the model includes a complexity of the model that performs a floating-point operation (FLOP).

[00163] In some embodiments, the computational complexity information of the model indicates a target computational complexity range, and the target computational complexity range is a range to which the computational complexity of a model belongs.

[00164] In some embodiments, the target computational complexity range is one of several computational complexity ranges, and the various computational complexity ranges correspond to different complexity intervals. Optionally, different computational complexity ranges correspond to different model functions.

[00165] In some modes, the multiple ranges of computational complexity are configured by the network device or predefined.

[00166] In some embodiments, the model function for positioning can be defined at a granularity of the terminal device's TEG information. For example, different computational TEG information corresponds to different model functions. Petition 870250088521, dated 09 / 30 / 2025, p. 38 / 208 32 / 78

[00167] In some embodiments, the terminal device's TEG information includes, without limitation, at least one of the following:

[00168] a maximum number of terminal device reception TEGs, a maximum number of terminal device transmission TEGs, or a maximum number of terminal device receive-transmit (Rx-Tx) TEGs.

[00169] In some embodiments, different number ranges to which the terminal device's reception TEG number belongs correspond to different model functions.

[00170] In some embodiments, different number ranges to which the terminal device's transmission TEG number belongs correspond to different model functions.

[00171] In some embodiments, different numerical ranges to which the number of Rx-Tx TEGs of the terminal device belongs correspond to different functions of the model.

[00172] In some embodiments, each of the at least one first piece of information corresponds to a model function, and the first piece of information corresponding to each model function comprises different sets of parameters and / or different parameter contents.

[00173] Therefore, the model functions at different granularities can be implemented through the parameter sets included in the initial information. For example, the initial information includes a positioning model, and different model functions can be distinguished by the positioning mode, so that Petition 870250088521, dated 09 / 30 / 2025, page 39 / 208 33 / 78 model functions with greater granularity can be implemented. As another example, the initial information includes reference signal information, and different model functions can be distinguished through the reference signal information, so that model functions with less granularity can be implemented. Therefore, in the embodiments of the present disclosure, flexible control of the granularity of the model functions can be implemented through the parameter sets included in the initial information.

[00174] In some embodiments, a set of parameters included in the first piece of information is denoted as a first set of parameters, and the first sets of parameters corresponding to different parts of the first piece of information include different parameters and / or different parameter contents. In this document, parameter content (or parameter content) may refer to a setting corresponding to the parameter, or to a parameter value, or to a range of parameter values.

[00175] In some specific embodiments, it is assumed that the first two pieces of information correspond, respectively, to the model function i and the model function j, a set of parameters corresponding to the model function i is different from a set of parameters corresponding to the model function j, or the content of the parameter corresponding to the model function i is different from the content of the parameter corresponding to the model function j.

[00176] For a first case, a first set of parameters corresponding to the model function i is the same as a first set of parameters corresponding Petition 870250088521, dated 09 / 30 / 2025, page 40 / 208 34 / 78 to model function j; but the content of the parameter corresponding to model function i is different from the content of the parameter corresponding to model function j.

[00177] For a first example, the first set of parameters corresponding to the function of model i includes the positioning mode, and the parameter content is the direct positioning mode; and the first set of parameters corresponding to the function of model j includes the positioning mode, and the parameter content is the assisted positioning mode.

[00178] As a second example, the first set of parameters corresponding to the function of model i includes the positioning mode and the information related to the reference signal, the content of the positioning mode is the direct positioning mode and the content of the information related to the reference signal is the information related to the PRS; and the first set of parameters corresponding to the function of model j includes the positioning mode and the information of the reference signal, the content of the positioning mode is the direct positioning mode and the content of the information related to the reference signal is the information related to the SRS.

[00179] As a second case, the first set of parameters corresponding to model function i is different from the first set of parameters corresponding to model function j; and the content of the parameter corresponding to model function i is different from the content of the parameter corresponding to model function j.

[00180] For a third example, the first set of parameters corresponding to the model function i Petition 870250088521, dated 09 / 30 / 2025, page 41 / 208 35 / 78 includes the positioning mode, and the content of the positioning mode is the direct positioning mode; and the first set of parameters corresponding to the model function j includes the positioning mode and the information related to the model output, and the content of the positioning mode is the assisted positioning mode, and the content of the information related to the model output is the LOS / NLOS identification.

[00181] In some embodiments, each model function corresponds to a number P of models, where P is a positive integer. That is, a model function can correspond to one or more models.

[00182] Optionally, the granularity of the model function is the same as the granularity of the model; or, the granularity of the model function is greater than the granularity of the model, for example, multiple models can implement the same model function.

[00183] In some embodiments, the respective models of the P models correspond to different sets of parameters and / or different parameter contents.

[00184] In some embodiments, a set of parameters corresponding to the model is denoted as a second set of parameters, and the second sets of parameters corresponding to different models include different parameters and / or different parameter contents. In this document, parameter content may refer to the setting corresponding to the parameter, or to the parameter value, or to the parameter's range of values.

[00185] In some embodiments, the second set of parameters includes, without limitation, at least one of the following parameters: Petition 870250088521, dated 09 / 30 / 2025, page 42 / 208 36 / 78

[00186] reference signal configuration information, model complexity information, model computational complexity information, terminal device TEG information, terminal device timing error information, network device synchronization error information or application scenario.

[00187] In some implementations, the reference signal configuration information may include PRS configuration information or SRS configuration information.

[00188] In some embodiments, PRS configuration information may include, without limitation, at least one of the following:

[00189] a configuration related to the positioning frequency layer, a configuration related to the TRP, a configuration related to the PRS feature set, or a configuration related to the PRS feature.

[00190] In some embodiments, the SRS configuration information may include, without limitation, at least one of the following:

[00191] a configuration related to the SRS feature set or a configuration related to SRS resources.

[00192] In some modes, the configuration related to the positioning frequency layer includes one or more of the following:

[00193] a maximum number of positioning frequency layers supported by the terminal device, a maximum number of PRS feature sets for each TRP in each positioning frequency layer, and a maximum number Petition 870250088521, dated 09 / 30 / 2025, p. 43 / 208 37 / 78 PRS resources in each positioning frequency layer.

[00194] In some modes, the TRP-related configuration may include one or more of the following:

[00195] a maximum number of PRS feature sets for each TRP in each positioning frequency layer and a maximum total number of TRPs across all frequency points.

[00196] In some modes, the configuration related to the PRS feature set includes one or more of the following:

[00197] Time-domain configuration information for the PRS feature set and / or frequency configuration information for the PRS feature set, such as the transmission period and PRS slot offset, and a time interval for PRS feature repetition;

[00198] a repetition factor for the PRS feature, such as the number of repetitions of the PRS feature in each PRS period;

[00199] a PRS muting configuration, for example, the PRS is not sent on certain allocated time-frequency resources (which is called muting); and

[00200] the number of Orthogonal Frequency Division Multiplexing (OFDM) symbols occupied by the PRS feature.

[00201] In some modes, the configuration related to the PRS feature includes, without limitation, one or more of the following:

[00202] an initial displacement of the unit of Petition 870250088521, dated 09 / 30 / 2025, page 44 / 208 38 / 78 feature in the PRS frequency domain, as an offset value of the feature units in the frequency domain used for mapping PRS feature resources to the first OFDM symbols allocated within a slot;

[00203] a PRS feature slot offset, such as a slot offset relative to the PRS feature set;

[00204] PRS QCL information; and

[00205] the number of PRS ports.

[00206] In some embodiments, the configuration related to the SRS feature set includes, without limitation, one or more of the following:

[00207] types of SRS features in an SRS feature set, such as aperiodic, semi-persistent, periodic; and

[00208] a configuration related to open-loop power control parameters.

[00209] In some models, the configuration related to the SRS feature includes, without limitation, one or more of the following:

[00210] the number of SRS resource ports; and

[00211] the SRS transmission comb.

[00212] In some embodiments, the first set of parameters corresponding to the function of model i includes the positioning mode, and the parameter content is the direct positioning mode. The function of model i corresponds to the P models (denoted as model 0 to model P1). In some embodiments, the P models correspond to different sets of second parameters and / or different parameter contents. Model 0 and model 1 are among the Petition 870250088521, dated 09 / 30 / 2025, page 45 / 208 39 / 78 P models are taken as an example.

[00213] For a first case, a second set of parameters corresponding to model 0 is the same as a second set of parameters corresponding to model 1, but the content of the parameter corresponding to model 0 is different from the content of the parameter corresponding to model 1.

[00214] As a first example, the second set of parameters corresponding to model 0 includes reference signal configuration information, and the content of the reference signal configuration information is a first reference signal configuration. The second set of parameters corresponding to model 1 includes reference signal configuration information, and the content of the reference signal configuration information is a second reference signal configuration. In this document, the first reference signal configuration is different from the second reference signal configuration.

[00215] As a second example, the second set of parameters corresponding to model 0 includes the model complexity information, and the content of the reference signal configuration information is a complexity range of the first model; and the second set of parameters corresponding to model 1 includes the model complexity information, and the content of the model complexity information is a second model complexity range. In the present document, the first model complexity range is different from the second model complexity range.

[00216] For a third example, the second set of parameters corresponding to model 0 includes the Petition 870250088521, dated 09 / 30 / 2025, page 46 / 208 40 / 78 terminal device timing error information, and the content of the terminal device timing error information is a first timing error; and the second set of parameters corresponding to model 1 includes terminal device timing error information, and the content of the terminal device timing error information is a second timing error. In this document, the first timing error is different from the second timing error.

[00217] As a second case, the second set of parameters corresponding to model 0 is different from the second set of parameters corresponding to model 1, and the content of the parameter corresponding to model 0 is different from the content of the parameter corresponding to model 1.

[00218] As a fourth example, the second set of parameters corresponding to model 0 includes network device synchronization error information, and the content of the network device synchronization error information is a first synchronization error; and the second set of parameters corresponding to model 1 includes terminal device timing error information, and the content of the network device synchronization error information is a third timing error.

[00219] In some embodiments, the first information may explicitly correspond to a model function. For example, the first information includes the first indication information, and the first indication information indicates a model function corresponding to the first information. For example, the first indication information may indicate an index of the model function. Petition 870250088521, dated 09 / 30 / 2025, page 47 / 208 41 / 78 corresponding to the initial information.

[00220] In some embodiments, the initial information may implicitly correspond to a model function. In this case, the initial information may not include the initial indication information.

[00221] In some embodiments, the first configuration information includes second indication information, and the second indication information indicates a target model function configured by the network device for the terminal device. For example, the second indication information may indicate an index of the target model function. In this case, the first configuration information can be considered to include configuration information related to the model function.

[00222] In some embodiments, the initial configuration information can be determined based on at least one initial piece of information. In this document, each part of the initial information corresponds to a function of the model; the network device can determine the target model function based on the model function corresponding to at least one initial piece of information and further indicate the target model function to the terminal device through the second piece of information.

[00223] Optionally, in the case where the first information includes the first indication information, the first configuration information includes the second indication information.

[00224] In other words, the network device can determine the function of the model corresponding to each of the first pieces of information according to the first pieces of information. Petition 870250088521, dated 09 / 30 / 2025, page 48 / 208 42 / 78 indication in at least one initial piece of information, and may additionally indicate the target model function for the terminal device through secondary information.

[00225] Additionally, optionally, the terminal device can select one of the P models corresponding to the target model function as the target model. For example, the terminal device can randomly select one of the P models as the target model or it can determine the target model based on the performance of the P models.

[00226] By way of example and not limitation, the performance of P models includes at least one of the following performances:

[00227] the complexity of the model, the computational complexity of the model, or the positioning accuracy of the model.

[00228] In some embodiments, the model's positioning accuracy may be an error between the terminal device location-related information determined from the model output and the actual terminal device location-related information, or it may be a distribution of the terminal device location-related information.

[00229] In some specific embodiments, the accuracy of the positioning may be an error between the predicted location information of the terminal device and the actual location information of the terminal device, or it may be a distribution of the predicted location information of the terminal device.

[00230] Optionally, the output information of Petition 870250088521, dated 09 / 30 / 2025, page 49 / 208 43 / 78 model refers to terminal device location information, and the predicted terminal device location information may be the model output information. This corresponds to direct positioning mode.

[00231] Optionally, the model output information is intermediate information from the terminal device location information, and the predicted terminal device location information can be obtained by performing the calculation based on the model output information. This corresponds to the assisted positioning mode.

[00232] In other embodiments, the positioning accuracy may be an error between the intermediate information of the predicted location information of a terminal device and the intermediate information of the actual location information of the terminal device, or it may be a distribution of the intermediate information of the predicted location information of the terminal device, or a distribution of the error between the intermediate information of the predicted location information of the terminal device and the intermediate information of the actual location information of the terminal device.

[00233] For example, the model output information is the intermediate information of the terminal device location information, such as distance information between the terminal device and the network device. In this case, the positioning accuracy may be an error between the distance information between the terminal device and the network device predicted by the model and the actual distance information between the terminal device and the network device. Petition 870250088521, dated 09 / 30 / 2025, page 50 / 208 44 / 78 network.

[00234] In some embodiments, the terminal device may select a model that satisfies at least one of the following conditions among the P models as the target model:

[00235] a model with the highest positioning accuracy or with a positioning accuracy that reaches a first positioning accuracy threshold among the P models;

[00236] a model with the lowest model complexity or with a model complexity that satisfies a predefined condition among the P models; or

[00237] a model with the lowest computational complexity of the model or with a computational complexity of the model that satisfies a predefined condition among the P models.

[00238] In some embodiments, the complexity of the model that satisfies the predefined condition may include that: the dimension of the model's input parameter is less than the limit of the first dimension and / or the number of layers in the model structure is less than the limit of the number of the first layer.

[00239] In some embodiments, the computational complexity of the model that satisfies the predefined condition may include that: the computational complexity of the model is less than the first computational complexity limit.

[00240] Optionally, the initial positioning accuracy may be in units of meters, centimeters, or millimeters, which is not limited in the present disclosure.

[00241] In some modalities, the first limit Petition 870250088521, dated 09 / 30 / 2025, page 51 / 208 45 / 78 positioning accuracy can be configured by the network device, determined by the terminal device itself, preset, or pre-configured.

[00242] In some modes, the limit of the first dimension can be configured by the network device, determined by the terminal device itself, predefined or preconfigured.

[00243] In some modes, the first layer number limit can be configured by the network device, determined by the terminal device itself, predefined, or preconfigured.

[00244] In some modes, the first limit of computational complexity may be set by the network device, determined by the terminal device itself, predefined or preconfigured.

[00245] In some modes, the first configuration information includes the third indication information and the fourth indication information.

[00246] The third indication information indicates a target model configured by the network device for the terminal device.

[00247] The fourth indication information indicates parameter information corresponding to the target model.

[00248] In some embodiments, the parameter information corresponding to the target model is determined according to the initial information. In other words, the parameter information corresponding to the target model corresponds to the initial information.

[00249] In some modalities, the third Petition 870250088521, dated 09 / 30 / 2025, page 52 / 208 46 / 78 indicator information may indicate an index of the target model, and the fourth indicator information may indicate a second set of parameters corresponding to the target model.

[00250] For example, in the case where the initial information does not include the initial indication information, the network device may indicate the target model and the parameter information corresponding to the target model to the terminal device. In this case, the initial configuration information can be considered to include configuration information related to the model.

[00251] In some modes, the initial configuration information may include only the third indication information and may not include the fourth indication information.

[00252] For example, the first information might include P parts of fifth indication information and P parts of sixth indication information. In this document, each of the P parts of fifth indication information corresponds to one of the respective P parts of sixth indication information. Each part of fifth indication information indicates one of the P models corresponding to the function of the model corresponding to the first information. For example, fifth indication information indicates an index of the model, and sixth indication information indicates a second set of parameters corresponding to the model indicated by fifth indication information. In this case, the first configuration information might include only the information from the third indication and might not include the fourth indication information. Third indication information might indicate an index of a selected target model. Petition 870250088521, dated 09 / 30 / 2025, page 53 / 208 47 / 78 via network device to terminal device between P models.

[00253] In some embodiments, the first configuration information may also include the second indication information and the third indication information. That is, the network device may simultaneously configure the target model function and the target model for the terminal device. In this document, the models corresponding to the target model function include the target model.

[00254] For example, when the first information includes indication information for a model function (such as the first indication information), the first set of parameters corresponding to the model function, indication information for a model (such as the P parts of the fifth indication information), and the second set of parameters corresponding to the model (such as the P parts of the sixth indication information), the first configuration information may include indication information for the target model function and indication information for the target model.

[00255] In some modes, each of at least one initial piece of information is carried in a respective independent structure.

[00256] As an example, the structure for transporting the initial information is designed as follows: FIRST INFORMATION :: = SEQUENCE { INDEX OF THE OPTIONAL MODEL FUNCTION FIRST SET OF PARAMETERS :: = SEQUENCE { PARAMETER 1 DATA TYPE 0, OPTIONAL PARAMETER N DATA TYPE N, OPTIONAL Petition 870250088521, dated 09 / 30 / 2025, page 54 / 208 48 / 78} MODEL 0 INDEX P-1 MODEL INDEX

[00257] In some modalities, at least one initial piece of information is transmitted in a structure.

[00258] For example, the structure for transporting all parts of the initial information is designed as follows: MODEL FUNCTION :: = SEQUENCE { INITIAL INFORMATION 1 :: = SEQUENCE { INDEX OF THE OPTIONAL MODEL FUNCTION FIRST SET OF PARAMETERS :: = SEQUENCE { PARAMETER 1 DATA TYPE 0, OPTIONAL PARAMETER n DATA TYPE n, OPTIONAL} MODEL INDEX 0 INDEX OF MODEL X-1} FIRST INFORMATION 2 :: = SEQUENCE { INDEX OF THE OPTIONAL MODEL FUNCTION FIRST SET OF PARAMETERS :: = SEQUENCE { PARAMETER 1 DATA TYPE 0, OPTIONAL PARAMETER m DATA TYPE m, OPTIONAL} MODEL INDEX 0 Petition 870250088521, dated 09 / 30 / 2025, page 55 / 208 49 / 78 INDEX OF THE Y-1 MODEL}}

[00259] In this document, the model function corresponding to the first of at least one first piece of information corresponds to models X, the model function corresponding to the second of at least one first piece of information corresponds to models Y. Optionally, the first pieces of information may additionally include a second set of parameters corresponding to each model.

[00260] In some embodiments, the terminal device may also report to the network device a maximum number t of model functions that it is capable of storing.

[00261] In some embodiments, the first configuration information may be carried through the first signaling, and the first signaling may be, such as RRC signaling, MAC CE signaling or DCI signaling, etc.

[00262] In some embodiments, the index of the model function configured by the network device may be indicated by n bits in the first signal. In this document, n is determined from t, for example, 2n is greater than or equal to t. For example, the index of the model function configured by the network device is indicated by different values ​​of n bits.

[00263] Therefore, in the modalities of the present disclosure, by means of the explicit indication of the model function configuration, the implementation on the device side of Petition 870250088521, dated 09 / 30 / 2025, page 56 / 208 The 50 / 78 network is simplified, and model selection on the terminal device side is also more flexible. Furthermore, since the model can occupy storage space on the terminal device, setting the maximum number of stored model functions reduces the complexity of terminal implementation.

[00264] With reference to Figure 10 and Figure 11, schematic interactive diagrams illustrating the model function configuration forms provided by the embodiments of this disclosure will be described below.

[00265] In the example shown in Figure 10, the model is deployed on the end device side and an end device performs monitoring of the model's performance.

[00266] As shown in Figure 10, the following operations S301 to S307 can be included.

[00267] In the S301 operation, the terminal device sends the initial information to a network device, where the specific implementation of the initial information refers to the relevant description in the previous embodiments, which will not be repeatedly described in this document.

[00268] In the S302 operation, the network device sends the initial configuration information to the terminal device, and this initial configuration information is used to configure an initial template function for the terminal device.

[00269] In the S303 operation, the terminal device selects a target model based on the function of the first model configured by the network device, whose specific selection method may refer to specific implementations of the previous modes. Petition 870250088521, dated 09 / 30 / 2025, page 57 / 208 51 / 78

[00270] Optionally, after selecting the target model, the S304 operation is included. In the S304 operation, the terminal device sends indication information to the network device, and the indication information indicates the target model selected by the terminal device; for example, the indication information indicates an index of the target model. Optionally, if the network device does not know the second set of parameters corresponding to the target model, the terminal device can still indicate the second set of parameters corresponding to the target model to the network device.

[00271] Optionally, the terminal device can send first-request information to the network device, and the first-request information is used to request model monitoring.

[00272] Optionally, the network device can send model monitoring configuration information, such as reference signal configuration information, to the terminal device. Optionally, the reference signal configuration information includes reference signal time domain configuration information and / or reference signal frequency configuration information.

[00273] In operation S305, the terminal device performs model monitoring for the target model.

[00274] For example, the terminal device performs model monitoring based on the model monitoring configuration information sent by the network device.

[00275] In operation S306, the terminal device Petition 870250088521, dated 09 / 30 / 2025, page 58 / 208 52 / 78 sends back a model monitoring result to the network device. For example, the terminal device sends second request information to the network device to request the switching of the model function. Optionally, if the model monitoring result does not meet the requirements, the terminal device can request the switching of the model function.

[00276] In operation S307, the network device configures the configuration information for the model change for the terminal device. For example, the network device may indicate a second model function for the terminal device. In this document, the first set of parameters and / or the content of the parameter corresponding to the first model function is different from the first set of parameters and / or the content of the parameter corresponding to the second model function.

[00277] In the example shown in Figure 11, the model is deployed on the endpoint device side and the network device performs model performance monitoring.

[00278] As shown in Figure 11, the following operations S301 to S307 can be included.

[00279] In the S311 operation, the terminal device sends the initial information to a network device, where the specific implementation of the initial information refers to the relevant description in the previous embodiments, which will not be repeatedly described in this document.

[00280] In the S312 operation, the network device sends the initial configuration information to the terminal device, and this initial configuration information is used to configure an initial function of Petition 870250088521, dated 09 / 30 / 2025, page 59 / 208 53 / 78 model for the terminal device.

[00281] In the S313 operation, the terminal device selects a target model based on the first model function configured by the network device, whose specific selection method may refer to specific implementations of the previous modes.

[00282] Optionally, after selecting the target model, the S304 operation is additionally included. In the S304 operation, the terminal device sends indication information to the network device, and the indication information indicates the target model selected by the terminal device, for example, the indication information indicates an index of the target model. Optionally, if the network device does not know the second set of parameters corresponding to the target model, the terminal device can still indicate the second set of parameters corresponding to the target model to the network device.

[00283] In operation S315, the network device performs model monitoring for the target model.

[00284] In operation S316, the network device configures the model switching configuration information for the terminal device.

[00285] For example, in the case where a model monitoring result does not meet the requirements, the network device may indicate a second model function for the terminal device. In this document, the first set of parameters and / or the content of the parameter corresponding to the first model function is different from the first set of parameters and / or the content of the parameter corresponding to the second model function. Petition 870250088521, dated 09 / 30 / 2025, page 60 / 208 54 / 78

[00286] In summary, in the embodiments of this disclosure, the granularity of the model function is defined, for example, model functions at different granularities can be implemented using the parameter sets included in the first information; and the relationship between the model function and the model is defined, for example, a model function can correspond to one or more models, and different models correspond to different parameter sets and / or parameter content. In this document, the granularity of the model function is the same as the granularity of the model; or the granularity of the model function is greater than the granularity of the model. For example, several models can implement the same model function.

[00287] A structure was further designed to report model function-related information for the network device. For example, information (such as initial information, model information corresponding to a model function) related to multiple model functions can be reported through one structure, or information related to each of the model functions can be reported through a respective independent structure.

[00288] The method embodiments of the present disclosure have been described in detail above with reference to Figures 9 to 11, and the device embodiments of the present disclosure are described in detail below with reference to Figures 12 to 16. It should be understood that the device embodiments correspond to the method embodiments, and similar descriptions of the device embodiments may refer to the method embodiments. Petition 870250088521, dated 09 / 30 / 2025, page 61 / 208 55 / 78

[00289] Figure 12 is a schematic block diagram of a terminal device 400 according to an embodiment of the present disclosure. As shown in Figure 12, the terminal device 400 includes a communication unit 410.

[00290] Communication unit 410 is configured to: send at least one initial piece of information to a network device, where the initial information is parameter information related to a positioning model function supported by the terminal device; and

[00291] receive the first configuration information sent by the network device, where the first configuration information includes: configuration information related to a model function for positioning and / or configuration information related to a model for positioning.

[00292] In some modalities, the initial information includes at least one of the following parameters:

[00293] a positioning mode, model input-related information, model output-related information, reference signal-related information, model complexity information, model computational complexity information, or terminal device TEG (Timing Error Group) information.

[00294] In some modalities, the positioning mode is a direct positioning model or an assisted positioning model.

[00295] In some modalities, the information Petition 870250088521, dated 09 / 30 / 2025, page 62 / 208 56 / 78 related to model input include at least one of the following:

[00296] a dimension of a model input parameter or a type of the model input parameter.

[00297] In some embodiments, the model output information includes terminal device location information.

[00298] In some embodiments, the information relating to the model output includes at least one of the following:

[00299] TOA information of a reference signal for positioning, AoD information of the reference signal for positioning, AoA information of the reference signal for positioning or positioning scenario information.

[00300] In some modalities, the information related to the reference signal includes information related to PRS and / or information related to SRS.

[00301] In some modalities, the information related to the PRS includes at least one of the following:

[00302] information related to PRS processing capacity and / or information related to PRS resources.

[00303] In some embodiments, information relating to PRS processing capacity includes at least one of the following:

[00304] a maximum PRS bandwidth supported by the terminal device, a maximum number of positioning frequency layers supported by the terminal device, or a maximum number of PRS features that the Petition 870250088521, dated 09 / 30 / 2025, p. 63 / 208 57 / 78 terminal device has processing capability in one slot.

[00305] In some modes, the information related to the PRS resource includes at least one of the following:

[00306] a maximum number of PRS resource sets for each TRP in each positioning frequency layer, a maximum total number of TRPs across all frequency points, a maximum number of positioning frequency layers supported by the terminal device, a maximum number of PRS resources in each PRS resource set, or a maximum number of PRS resources in each positioning frequency layer.

[00307] In some modalities, the information related to the SRS includes at least one of the following:

[00308] information related to SRS processing capacity, information on the type of an SRS path loss reference signal, information on the type of a reference signal for spatial relationship information for SRS.

[00309] In some embodiments, information relating to SRS processing capability includes at least one of the following:

[00310] a maximum number of SRS resource sets for placement in each bandwidth part (BWP), a maximum number of SRS resources for placement in each BWP, a maximum number of aperiodic SRS resources for placement in each BWP, a maximum number of periodic SRS resources for placement in each BWP, or a maximum number of semi-persistent SRS resources for placement in each BWP. Petition 870250088521, dated 09 / 30 / 2025, page 64 / 208 58 / 78

[00311] In some embodiments, the SRS path loss reference signal type information includes at least one of the following:

[00312] if a PRS from a service cell is supported as the SRS path loss reference signal, if a CSI-RS from the service cell is supported as the SRS path loss reference signal, if an SSB signal from a neighboring cell is supported as the SRS path loss reference signal, or if a PRS from the neighboring cell is supported as the SRS path loss reference signal.

[00313] In some embodiments, the reference signal type information for spatial relationship information for SRS includes at least one of the following:

[00314] if the PRS of a service cell is supported as a reference signal for spatial relationship information for SRS, if an SSB of a neighboring cell is supported as a reference signal for spatial relationship information for SRS, if a CSI-RS of the service cell is supported as a reference signal for spatial relationship information for SRS, or if a PRS of the neighboring cell is supported as a reference signal for spatial relationship information for SRS, or if SRS for positioning in a working band is supported as a reference signal for spatial relationship information for SRS.

[00315] In some embodiments, the model complexity information indicates a target parameter number range, and the target parameter number range is a range to which the number of parameters included in a model belongs.

[00316] In some modes, the range of numbers Petition 870250088521, dated 09 / 30 / 2025, page 65 / 208 59 / 78 of target parameters is one of several parameter number ranges, and the various parameter number ranges are configured by the network device or predefined.

[00317] In some embodiments, the computational complexity information of the model indicates a target computational complexity range, and the target computational complexity range is a range to which the computational complexity of a model belongs.

[00318] In some embodiments, the target computational complexity range is one of several computational complexity ranges, and the various computational complexity ranges are configured by the network device or predefined.

[00319] In some embodiments, the terminal device's TEG information includes at least one of the following:

[00320] a maximum number of terminal device reception TEGs, a maximum number of terminal device transmission TEGs, or a maximum number of terminal device Rx-Tx TEGs.

[00321] In some embodiments, each of the at least one first piece of information corresponds to a model function, and the first pieces of information corresponding to the respective model functions comprise different sets of parameters and / or different parameter contents.

[00322] In some embodiments, each model function corresponds to a number P of models, where P is a positive integer.

[00323] In some modalities, the respective models of the P models correspond to different sets of Petition 870250088521, dated 09 / 30 / 2025, p. 66 / 208 60 / 78 parameters and / or different parameter contents.

[00324] In some embodiments, a set of parameters corresponding to each model includes at least one of the following:

[00325] reference signal configuration information, model complexity information, model computational complexity information, terminal device TEG information, terminal device timing error information, network device synchronization error information, or application scenario.

[00326] In some embodiments, the initial information includes the initial indication information, and the initial indication information indicates a model function corresponding to the initial information.

[00327] In some embodiments, the first configuration information includes second indication information, and the second indication information indicates a target model function configured by the network device for the terminal device.

[00328] In some embodiments, in the case where the first information includes information indicating the function of the model, the first configuration information includes the second indication information.

[00329] In some modes, the first configuration information includes the third indication information and the fourth indication information.

[00330] The third indication information indicates a target model configured by the network device for the terminal device.

[00331] The fourth indication information Petition 870250088521, dated 09 / 30 / 2025, page 67 / 208 61 / 78 indicate parameter information corresponding to the target model.

[00332] In some modes, the parameter information corresponding to the target model is determined according to the initial information.

[00333] In some embodiments, in a case where the first information does not include any indication of the model's function, the first configuration information includes the third indication information and the fourth indication information.

[00334] In some forms, each of the at least one first piece of information is carried in a respective independent structure, or at least one first piece of information is carried in a single structure.

[00335] Optionally, in some embodiments, the communication unit may be a communication interface or a transceiver or an input-output interface of a communication chip or a system-on-a-chip. The processing unit may be one or more processors.

[00336] It should be understood that the terminal device 400 in the embodiments of the present disclosure may correspond to the terminal device in the embodiments of the method of the present disclosure, and the above operations and / or functions and of other units in the terminal device 400 are intended to implement the corresponding flow of the terminal device in the method 200 illustrated in Figures 9 to 11, which will not be elaborated on in this document for the sake of brevity.

[00337] Figure 13 is a schematic block diagram of a network device according to an embodiment of the present disclosure. The network device 500 Petition 870250088521, dated 09 / 30 / 2025, page 68 / 208 The 62 / 78 shown in Figure 13 includes a 510 communication unit.

[00338] The 510 communication unit is configured to: receive at least one initial piece of information sent by a terminal device, where the initial information is parameter information related to a model function for positioning supported by the terminal device; and

[00339] send the first configuration information to the terminal device, where the first configuration information includes: configuration information related to a model function for positioning and / or configuration information related to a model for positioning, and the first configuration information is determined according to at least one first piece of information.

[00340] In some modes, the initial information includes at least one of the following parameters:

[00341] a positioning mode, model input-related information, model output-related information, reference signal-related information, model complexity information, model computational complexity information, or terminal device TEG information.

[00342] In some modalities, the positioning mode is direct positioning or assisted positioning.

[00343] In some embodiments, the model input information includes at least one of the following: Petition 870250088521, dated 09 / 30 / 2025, page 69 / 208 63 / 78

[00344] a dimension of a model input parameter or a type of the model input parameter.

[00345] In some embodiments, the model output information includes terminal device location information.

[00346] In some embodiments, the information relating to the model output includes at least one of:

[00347] TOA information of a reference signal for positioning, AoD information of the reference signal for positioning, AoA information of the reference signal for positioning or positioning scenario information.

[00348] In some modalities, the information related to the reference signal includes information related to PRS and / or information related to SRS.

[00349] In some modalities, the information related to the PRS includes at least one of the following:

[00350] information related to PRS processing capacity and / or information related to PRS resources.

[00351] In some embodiments, information relating to PRS processing capacity includes at least one of the following:

[00352] a maximum PRS bandwidth supported by the terminal device, a maximum number of positioning frequency layers supported by the terminal device, or a maximum number of PRS resources that the terminal device is capable of processing in a slot.

[00353] In some modalities, the information related to the PRS resource includes at least one of the Petition 870250088521, dated 09 / 30 / 2025, p. 70 / 208 64 / 78 following:

[00354] a maximum number of PRS resource sets for each TRP in each positioning frequency layer, a maximum total number of TRPs across all frequency points, a maximum number of positioning frequency layers supported by the terminal device, a maximum number of PRS resources in each PRS resource set, or a maximum number of PRS resources in each positioning frequency layer.

[00355] In some modalities, the information related to the SRS includes at least one of the following:

[00356] information related to SRS processing capacity, information on the type of an SRS path loss reference signal, information on the type of a reference signal for spatial relationship information for SRS.

[00357] In some embodiments, information relating to SRS processing capability includes at least one of the following:

[00358] a maximum number of SRS resource sets for placement in each BWP, a maximum number of SRS resources for placement in each BWP, a maximum number of aperiodic SRS resources for placement in each BWP, a maximum number of periodic SRS resources for placement in each BWP, or a maximum number of semi-persistent SRS resources for placement in each BWP.

[00359] In some embodiments, the SRS path loss reference signal type information includes at least one of the following:

[00360] if a PRS of a service cell is Petition 870250088521, dated 09 / 30 / 2025, page 71 / 208 65 / 78 is supported as the SRS path loss reference signal if a CSI-RS from the service cell is supported as the SRS path loss reference signal, if an SSB signal from a neighboring cell is supported as the SRS path loss reference signal, or if a PRS from the neighboring cell is supported as the SRS path loss reference signal.

[00361] In some embodiments, the reference signal type information for spatial relationship information for SRS includes at least one of the following:

[00362] if the PRS of a service cell is supported as a reference signal for spatial relationship information for SRS, if a CSI-RS of the service cell is supported as a reference signal for spatial relationship information for SRS, if an SSB of a neighboring cell is supported as a reference signal for spatial relationship information for SRS, or if a PRS of the neighboring cell is supported as a reference signal for spatial relationship information for SRS, or if SRS for positioning in a working band is supported as a reference signal for spatial relationship information for SRS.

[00363] In some embodiments, the model complexity information indicates a range of target parameter numbers, and the range of target parameter numbers is a range to which numerous parameters included in a model belong.

[00364] In some embodiments, the target parameter number range is one of several parameter number ranges, and the various parameter number ranges are either configured by the network device or predefined. Petition 870250088521, dated 09 / 30 / 2025, page 72 / 208 66 / 78

[00365] In some embodiments, the computational complexity information of the model indicates a target computational complexity range, and the target computational complexity range is a range to which the computational complexity of a model belongs.

[00366] In some embodiments, the target computational complexity range is one of several computational complexity ranges, and the various computational complexity ranges are configured by the network device or predefined.

[00367] In some embodiments, the terminal device's TEG information includes at least one of the following:

[00368] a maximum number of terminal device reception TEGs, a maximum number of terminal device transmission TEGs, or a maximum number of terminal device reception / transmission TEGs.

[00369] In some embodiments, each of the at least one first piece of information corresponds to a model function, and the first pieces of information corresponding to the respective model functions comprise different sets of parameters and / or different parameter contents.

[00370] In some embodiments, each model function corresponds to a number P of models, where P is a positive integer.

[00371] In some embodiments, the respective models of the P models correspond to different sets of parameters and / or different parameter contents.

[00372] In some modalities, a set of parameters corresponding to each model includes at least one Petition 870250088521, dated 09 / 30 / 2025, p. 73 / 208 67 / 78 of the following:

[00373] reference signal configuration information, model complexity information, model computational complexity information, terminal device TEG information, terminal device timing error information, network device synchronization error information or application scenario.

[00374] In some embodiments, the first information includes the first indication information, and the first indication information indicates a model function corresponding to the first information.

[00375] In some embodiments, the first configuration information includes second indication information, and the second indication information indicates a target model function configured by the network device for the terminal device.

[00376] In some embodiments, in the case where the first information includes information indicating the function of the model, the first configuration information includes the second indication information.

[00377] In some modes, the first configuration information includes: third indication information and fourth indication information.

[00378] The third indication information indicates a target model configured by the network device for the terminal device.

[00379] The fourth indication information indicates parameter information corresponding to the target model.

[00380] In some modalities, the information of Petition 870250088521, dated 09 / 30 / 2025, page 74 / 208 68 / 78 parameters corresponding to the target model are determined according to the initial information.

[00381] In some embodiments, in a case where the first information does not include any indication of the model's function, the first configuration information includes the third indication information and the fourth indication information.

[00382] In some forms, each of the at least one first piece of information is carried in a respective independent structure, or at least one first piece of information is carried in a structure.

[00383] Optionally, in some embodiments, the communication unit may be a communication interface or a transceiver or an input-output interface of a communication chip or a system-on-a-chip. The processing unit may be one or more processors.

[00384] It should be understood that the network device 500 in the embodiments of the present disclosure may correspond to the network device in the embodiments of the method of the present disclosure, and the above operations and / or functions and of other units in the network device 500 are intended to implement the corresponding flow of the network device in the method 200 illustrated in Figures 9 to 11, which will not be elaborated on in this document for the sake of brevity.

[00385] Figure 14 is a schematic structural diagram of a communication device 600 according to an embodiment of the present disclosure. The communication device 600 illustrated in Figure 14 includes a processor 610. The processor 610 can be configured to invoke and execute a computer program stored in a memory. Petition 870250088521, dated 09 / 30 / 2025, page 75 / 208 69 / 78 to carry out each of the methods in accordance with the modalities of the present disclosure.

[00386] Optionally, as illustrated in Figure 14, the communication device 600 may additionally include a memory 620. In the present document, the processor 610 may be configured to invoke and execute the computer program stored in memory 620 to perform each of the methods according to the embodiments of the present disclosure.

[00387] In this document, memory 620 can be a separate device independent of processor 610, or it can be integrated into processor 610.

[00388] Optionally, as illustrated in Figure 14, the communication device 600 may additionally include a transceiver 630. The processor 610 may control the transceiver 630 to communicate with other devices. Specifically, the transceiver 1430 may transmit information or data to other devices, or receive information or data from other devices.

[00389] In this document, the 630 transceiver may include a transmitter and a receiver. The 630 transceiver may additionally include one or more antennas.

[00390] Optionally, communication device 600 may specifically be the network device in the embodiments of this disclosure. Communication device 600 may implement corresponding processes that are implemented by the network device in each of the methods in the embodiments of this disclosure. To summarize, the details are not elaborated on again in this document.

[00391] Optionally, the device of Petition 870250088521, dated 09 / 30 / 2025, p. 76 / 208 70 / 78 communication 600 can specifically be the mobile terminal / terminal device in the embodiments of this disclosure. The communication device 600 can implement the corresponding processes that are implemented by the mobile terminal / terminal device in each of the methods in the embodiments of this disclosure. To summarize, the details are not elaborated on again in this document.

[00392] Figure 15 is a schematic structural diagram of a chip according to an embodiment of the present disclosure. The chip 700 illustrated in Figure 15 includes a processor 710. The processor 710 can be configured to invoke and execute a computer program stored in a memory to perform each of the methods according to the embodiments of the present disclosure.

[00393] Optionally, as illustrated in Figure 15, chip 700 may additionally include a memory 720. In the present document, processor 710 may be configured to invoke and execute the computer program stored in memory 720 to perform each of the methods according to the embodiments of the present disclosure.

[00394] In this document, memory 720 may be a separate device independent of processor 710, or it may be integrated into processor 710.

[00395] Optionally, the 700 chip may also include a 730 input interface. In this document, the 710 processor may control the 730 input interface to communicate with other devices or chips. Specifically, the 1530 input interface may obtain information or data from other devices or chips.

[00396] Optionally, chip 700 may include Petition 870250088521, dated 09 / 30 / 2025, page 77 / 208 71 / 78 still has a 740 output interface. In this document, the 710 processor can control the 740 output interface to communicate with other devices or chips. Specifically, the 1540 output interface can send information or data to other devices or chips.

[00397] Optionally, the chip can be applied to the network device in the embodiments of this disclosure. The chip can implement the corresponding processes implemented by the network device in each of the methods in the embodiments of this disclosure. To summarize, the details are not elaborated on again in this document.

[00398] Optionally, the chip can be applied to the mobile terminal / terminal device in the embodiments of the present disclosure. The chip can implement the corresponding processes implemented by the mobile terminal / terminal device in each of the methods in the embodiments of the present disclosure. To summarize, the details are not elaborated on again in this document.

[00399] It should be understood that the chip referred to in the embodiments of the present disclosure may also be referred to as a system-level chip, a system chip, a system-on-a-chip, or a system-on-a-chip, etc.

[00400] Figure 16 is a schematic block diagram of a 900 communication system according to an embodiment of the present disclosure. As illustrated in Figure 16, the 900 communication system includes a terminal device 910 and a network device 920.

[00401] In this document, the terminal device 910 can be configured to implement the corresponding functions implemented by the terminal device in Petition 870250088521, dated 09 / 30 / 2025, pp. 78 / 208 72 / 78 previous methods. The 920 network device can be configured to implement the corresponding functions implemented by the network device in the previous methods. To summarize, the details are not elaborated on again in this document.

[00402] It should be understood that the processor of the disclosure modalities can be an integrated circuit chip with signal processing capabilities. In an implementation process, several steps of the above method modalities can be completed by hardware integrated logic circuits in the processor or instructions in software form. The above processor can be a general-purpose processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components. Several methods, steps, and logic block diagrams disclosed in the disclosure modalities can be implemented or realized. The general-purpose processor can be a microprocessor, any conventional processor, or similar.The steps of the disclosed methods, referring to the disclosure modalities, can be performed and completed directly by a hardware decoding processor, or they can be performed and completed by a combination of hardware and software modules in the decoding processor. The software modules can be located in a storage medium mature in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, or programmable memory. Petition 870250088521, dated 09 / 30 / 2025, pp. 79 / 208 73 / 78 electrically erasable, or a register. The storage medium is located in memory, and the processor reads information from memory and completes the steps of the previous methods in combination with the processor hardware. It can be understood that memory in the revelation modes can be volatile memory or non-volatile memory, or it can include both volatile and non-volatile memory. Non-volatile memory can be read-only memory (ROM), programmable ROM (PROM), erasable PROM (EPROM), electrically erasable EPROM (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), which is used as a high-speed external cache.By way of example, but not as a restrictive description, many forms of RAM can be used, for example, Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DR RAM).

[00403] It should be noted that the memory of the systems and methods described in this specification includes, without limitation, these and any other suitable types of memory.

[00404] It should be understood that the memories mentioned above are exemplary, but not restrictive; for example, the memory in the disclosure embodiments may also be a static RAM (SRAM), a dynamic RAM (DRAM), a synchronous DRAM (SDRAM), a double data rate SDRAM (DDR SDRAM), an enhanced SDRAM (ESDRAM), a Synchlink DRAM (SLDRAM), and a Direct Rambus RAM (DR RAM). That is, the memories described in the disclosure embodiment are intended to include, but are not limited to, these and any other suitable types of Petition 870250088521, dated 09 / 30 / 2025, pages 80 / 208 74 / 78 memories.

[00405] One embodiment of the present disclosure further provides a computer-readable storage medium configured to store a computer program.

[00406] Optionally, computer-readable storage media may be applied to the network device in the embodiments of the present disclosure, and the computer program causes a computer to execute the corresponding processes performed by the network device in the various methods of the embodiments of the present disclosure. To summarize, the details are not elaborated upon again in this document.

[00407] Optionally, the computer-readable storage medium may be applied to the mobile terminal / terminal device in the embodiments of the present disclosure, and the computer program causes a computer to execute the corresponding processes performed by the mobile terminal / terminal device in various methods of the embodiments of the present disclosure. To summarize, the details are not described again in this document.

[00408] One embodiment of the present disclosure further provides a computer program product, which includes computer program instructions.

[00409] Optionally, the computer program product may be applied to the network device in the embodiments of the present disclosure, and the instructions of the computer program cause a computer to execute the corresponding processes performed by the network device in the various methods of the embodiments of the present disclosure. To summarize, the details are not elaborated upon again in this document. Petition 870250088521, dated 09 / 30 / 2025, page 81 / 208 75 / 78

[00410] Optionally, the computer program product may be applied to the mobile terminal / terminal device in the embodiments of the present disclosure, and the instructions of the computer program cause a computer to execute the corresponding processes performed by the mobile terminal / terminal device in various methods of the embodiments of the present disclosure. To summarize, the details are not described again in this document.

[00411] One embodiment of the present disclosure additionally provides a computer program.

[00412] Optionally, the computer program may be applied to the network device in the embodiments of the present disclosure, and the computer program, when executed on a computer, causes the computer to perform the corresponding processes performed by the network device in various methods of the embodiments of the present disclosure. To summarize, the details are not elaborated upon again in this document.

[00413] Optionally, the computer program may be applied to the mobile terminal / terminal device in the embodiments of the present disclosure, and the computer program, when running on a computer, causes the computer to perform the corresponding processes performed by the mobile terminal / terminal device in various methods of the embodiments of the present disclosure. To summarize, the details are not described again in this document.

[00414] Those skilled in the art may realize that units and steps of algorithms of various examples described in combination with the embodiments disclosed in this document can be implemented by electronic hardware, or Petition 870250088521, dated 09 / 30 / 2025, page 82 / 208 76 / 78 a combination of computer software and electronic hardware. Whether the functions are performed by hardware or software depends on specific applications and the design constraints of the technical schematics. Professionals may implement the described functions for each specific application using different methods, but such implementations should not be considered outside the scope of this disclosure.

[00415] It may be clearly understood by those skilled in the art that, for the specific work processes of the systems, apparatus and units mentioned above, reference may be made to the corresponding processes in the method modalities mentioned above, and such specific work processes of the systems, devices and units are not described again in the present document for the sake of convenient and brief description.

[00416] In the various embodiments provided in the disclosure, it should be understood that the disclosed system, apparatus, and methods may be implemented in other ways. For example, the apparatus embodiments described above are only schematic, and, for instance, the division of units is only a logical function division, and other ways of division may be adopted during practical implementation. For example, several units or components may be combined or integrated into another system, or some features may be omitted or not implemented. Furthermore, the mutual couplings or direct couplings or communication connections shown or discussed may be implemented using some interfaces. Indirect connections or communication links between the apparatus or units may be implemented in electronic, mechanical, or other forms. Petition 870250088521, dated 09 / 30 / 2025, page 83 / 208 77 / 78

[00417] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, and may be located in a single location or may be distributed across multiple network units. Some or all of the units may be selected according to the actual needs to achieve the objectives of the modal solutions.

[00418] Furthermore, functional units in various modes of development can be integrated into a processing unit, or each of the units can be physically separated, or two or more units can be integrated into one unit.

[00419] When functions are implemented in the form of functional software units and sold or used as a stand-alone product, they may be stored on a computer-readable storage medium. In relation to this understanding, the technical schematics of the embodiments of the disclosure, essentially or the parts that contribute to the prior art, or part of the technical schematics, may be incorporated in the form of a software product. The computer software product is stored on a storage medium, including various instructions to cause a computer device (which may be a personal computer, a server, a network device, and the like) to execute all or part of the steps of the method described in the embodiments of the disclosure. The prior storage medium includes a USB flash drive, a portable hard disk drive, a ROM, a RAM, and various media that can store program code, such as a magnetic disk or an optical disk. Petition 870250088521, dated 09 / 30 / 2025, page 84 / 208 78 / 78

[00420] The descriptions above are merely specific implementations of the disclosure, but are not intended to limit the scope of protection of the disclosure. Any variation or substitution readily determined by a person skilled in the art within the technical scope disclosed in the disclosure shall be within the scope of protection of the disclosure. Therefore, the scope of protection of the disclosure is defined by the scope of protection of the claims. Petition 870250088521, dated 09 / 30 / 2025, page 85 / 208

Claims

1 / 9 CLAIMS 1. METHOD FOR WIRELESS COMMUNICATION characterized by comprising: sending, by a terminal device, at least one initial piece of information to a network device, wherein the initial information is parameter information relating to a positioning model function supported by the terminal device; and receiving, by the terminal device, the initial configuration information sent by the network device, wherein the initial configuration information comprises: configuration information relating to a positioning model function and / or configuration information relating to a positioning model.

2. METHOD, according to claim 1, characterized in that the initial information comprises at least one of the following parameters: a positioning mode, information related to the model input, information related to the model output, information related to the reference signal, model complexity information, computational complexity information of a model, or TEG (Timing Error Group) information of the terminal device.

3. METHOD, according to claim 2, characterized in that the positioning mode is either a direct positioning mode or an assisted positioning mode, wherein the model input-related information comprises at least one of: a dimension of a model input parameter or a type of model input parameter, Petition 870250088521, dated 09 / 30 / 2025, p.86 / 208 2 / 9 wherein the model output-related information comprises terminal device location information, or the model output-related information comprises at least one of: Time of Arrival (TOA) information from a positioning reference signal, Departure Angle (AoD) information from the positioning reference signal, Arrival Angle (AoA) information from the positioning reference signal, or positioning scenario information, wherein the reference signal-related information comprises information related to the Positioning Reference Signal (PRS) and / or information related to the Sounding Reference Signal (SRS).

4. METHOD, according to claim 3, characterized in that the PRS-related information comprises: information related to the PRS processing capacity and / or information related to PRS resources, wherein the information related to the PRS processing capacity comprises at least one of: a maximum PRS bandwidth supported by the terminal device, a maximum number of positioning frequency layers supported by the terminal device, or a maximum number of PRS resources that the terminal device is capable of processing in a slot, wherein the information related to PRS resources comprises at least one of: a maximum number of PRS resource sets for Petition 870250088521, dated 09 / 30 / 2025, p.87 / 208 3 / 9 each transmit / receive point (TRP) in each positioning frequency layer, a maximum total number of TRPs across all frequency points, a maximum number of positioning frequency layers supported by the terminal device, a maximum number of PRS features in each PRS feature set, or a maximum number of PRS features in each positioning frequency layer.

5. METHOD, according to claim 4, characterized in that the SRS-related information comprises at least one of: SRS processing capacity-related information, type information for an SRS path loss reference signal, or type information of a reference signal for spatial relationship information for SRS, wherein the SRS processing capacity-related information comprises at least one of: a maximum number of SRS feature sets for placement in each bandwidth part (BWP), a maximum number of SRS features for placement in each BWP, a maximum number of aperiodic SRS features for placement in each BWP, a maximum number of periodic SRS features for placement in each BWP, or a maximum number of semi-persistent SRS features for placement in each BWP.wherein the type information for the SRS path loss reference signal comprises at least one of: if a PRS from a service cell is supported as an SRS path loss reference signal, if a Channel State Information Reference Signal (CSI-RS) from the service cell is supported as an SRS path loss reference signal, if a Synchronization Signal Block (SSB) signal from a neighboring cell is supported as an SRS path loss reference signal, or if a PRS signal from the neighboring cell is supported as an SRS path loss reference signal, wherein the type information for the reference signal for spatial relationship information for SRS comprises at least one of: if a PRS from a server cell is supported as a reference signal for spatial relationship information for SRS,If a CSI-RS from the serving cell is supported as a reference signal for spatial relationship information for SRS, if an SSB from a neighboring cell is supported as a reference signal for spatial relationship information for SRS, or if a PRS from the neighboring cell is supported as a reference signal for spatial relationship information for SRS, or if an SRS for positioning in a working band is supported as a reference signal for spatial relationship information for SRS.

6. METHOD, according to any one of claims 1 to 5, characterized in that each of the at least one first piece of information corresponds to a model function, and wherein the first pieces of information corresponding to the respective model functions comprise different sets of parameters and / or different parameter contents.

7. METHOD, according to any one of claims 1 to 6, characterized in that the first configuration information comprises: Petition 870250088521, dated 09 / 30 / 2025, page 89 / 208 5 / 9 third indication information to indicate a target model configured by the network device for the terminal device; and fourth indication information to indicate parameter information corresponding to the target model, wherein the parameter information corresponding to the target model is determined according to the first information, wherein, in a case where the first information does not comprise any indication information of the model function, the first configuration information comprises the third indication information and the fourth indication information.

8. METHOD, according to any one of claims 1 to 7, characterized in that each of the at least one first piece of information is carried in a respective independent structure, or in that at least one first piece of information is carried in a structure.

9. METHOD FOR WIRELESS COMMUNICATION characterized by comprising: receiving, by a network device, at least one initial piece of information sent by a terminal device, wherein the initial parameter information relates to a positioning model function supported by the terminal device; and sending, by the network device, the initial configuration information to the terminal device, wherein the initial configuration information includes: configuration information relating to a positioning model function and / or configuration information relating to a positioning model, and the initial configuration information is determined according to at least one initial piece of information.

10. METHOD, according to claim 9, characterized in that the initial information comprises at least one of the following parameters: a positioning mode, information related to the model input, information related to the model output, information related to the reference signal, model complexity information, computational complexity information of a model, or TEG (Timing Error Group) information of the terminal device.

11. METHOD, according to claim 10, characterized in that the positioning mode is a direct positioning mode or an assisted positioning mode, wherein the model input information comprises at least one of: a dimension of a model input parameter or a type of model input parameter, wherein the model output information comprises terminal device location information, or the model output information comprises at least one of: Time of Arrival (TOA) information of a positioning reference signal, Departure Angle (AoD) information of the positioning reference signal, Arrival Angle (AoA) information of the positioning reference signal, or positioning scenario information, and wherein the information related to the signal of Petition 870250088521, dated 09 / 30 / 2025, p.References 91 / 208 7 / 9 include information related to the Positioning Reference Signal (PRS) and / or information related to the Sounding Reference Signal (SRS).

12. METHOD, according to claim 11, characterized in that the PRS-related information comprises: information related to the PRS processing capacity and / or information related to PRS resources, wherein the information related to the PRS processing capacity comprises at least one of: a maximum PRS bandwidth supported by the terminal device, a maximum number of positioning frequency layers supported by the terminal device, or a maximum number of PRS resources that the terminal device is capable of processing in a slot, and wherein the information related to PRS resources comprises at least one of: a maximum number of sets of PRS resources for each transmit / receive point (TRP) in each positioning frequency layer, a maximum total number of TRPs at all frequency points, a maximum number of positioning frequency layers supported by the terminal device,a maximum number of PRS resources in each PRS resource set or a maximum number of PRS resources in each positioning frequency layer.

13. METHOD, according to claim 11, characterized in that the SRS-related information comprises at least one of: information related to SRS processing capacity, type information for a path loss reference signal for SRS, or type information of a reference signal for spatial relationship information for SRS, wherein the information related to SRS processing capacity comprises at least one of: a maximum number of SRS resource sets for placement in each bandwidth part (BWP), a maximum number of SRS resources for placement in each BWP, a maximum number of aperiodic SRS resources for placement in each BWP, a maximum number of periodic SRS resources for placement in each BWP, or a maximum number of semi-persistent SRS resources for placement in each BWP.wherein the SRS path loss reference signal type information comprises at least one of the following: if a service cell PRS is supported as the SRS path loss reference signal, if a service cell Channel State Information Reference Signal (CSI-RS) is supported as the SRS path loss reference signal, if a Synchronization Signal Block (SSB) from a neighboring cell is supported as the SRS path loss reference signal, or if a neighboring cell PRS is supported as the SRS path loss reference signal, wherein the SRS path loss reference signal type information comprises at least one of the following: if a server cell PRS is supported as the SRS path loss reference signal, if a server cell CSI-RS is supported as the SRS path loss reference signal, if a neighboring cell SSB is Petition 870250088521, of 30 / 09 / 2025pg. 93 / 208 9 / 9 supported as a path loss reference signal for SRS, or if a PRS from a neighboring cell is supported as a path loss reference signal for SRS, wherein the reference signal type information for spatial relationship information for SRS comprises at least one of: if a PRS from a server cell is supported as a reference signal for spatial relationship information for SRS, if a CSI-RS from a server cell is supported as a reference signal for spatial relationship information for SRS, if an SSB from a neighboring cell is supported as a reference signal for spatial relationship information for SRS, or if a PRS from a neighboring cell is supported as a reference signal for spatial relationship information for SRS, or if SRS for positioning in a working band is supported as a reference signal for spatial relationship information for SRS.

14. TERMINAL DEVICE characterized by comprising: a processor and a memory, wherein the memory is configured to store a computer program and the processor is configured to invoke and execute the computer program stored in memory, to perform the method as defined in any one of claims 1 to 8.

15. NETWORK DEVICE characterized by comprising: a processor and a memory, wherein the memory is configured to store a computer program and the processor is configured to invoke and execute the computer program stored in memory, to perform the method as defined in any one of claims 9 to 13. Petition 870250088521, dated 09 / 30 / 2025, pp. 94 / 208

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