Data collection method, terminal and network side equipment

Abstract

The invention discloses a data collection method, a terminal and network side equipment, and belongs to the technical field of communication, and the data collection method comprises the steps that the terminal receives first request information from the network side equipment, and the first request information is used for requesting the terminal to measure and acquire first data; and the terminal measures a positioning reference signal based on the first request information to obtain the first data.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of communication, and particularly relates to a data collection method, a terminal and a network side device. BACKGROUND

[0002] Use case research of artificial intelligence (AI) in the communication field is ongoing, such as AI-based positioning accuracy improvement. AI-based positioning mainly relies on an AI model to obtain a position prediction or an intermediate measurement prediction about positioning. In order to obtain a reliable output, model training of the AI needs a large amount of data. However, at present, it is still impossible to obtain enough data as AI training samples. SUMMARY

[0003] Embodiments of the present application provide a data collection method, a terminal and a network side device, which can solve the problem that the network side device cannot obtain enough positioning data as AI training samples.

[0004] In a first aspect, a data collection method is provided, comprising: receiving, by a terminal, first request information from a network side device, the first request information being used to request the terminal to measure and obtain first data; and measuring, by the terminal, a positioning reference signal based on the first request information to obtain the first data.

[0005] In a second aspect, a data collection method is provided, comprising: sending, by a network side device, first request information, the first request information being used to request a terminal to measure and obtain first data.

[0006] In a third aspect, a data collection apparatus is provided, comprising: a receiving module configured to receive first request information from a network side device, the first request information being used to request the apparatus to measure and obtain first data; and a processing module configured to measure a positioning reference signal based on the first request information to obtain the first data.

[0007] In a fourth aspect, a data collection apparatus is provided, comprising: a sending module configured to send first request information, the first request information being used to request a terminal to measure and obtain first data.

[0008] In a fifth aspect, a data collection apparatus is provided, which is configured to perform the steps of the method according to the first aspect, or implement the steps of the method according to the second aspect.

[0009] In a sixth aspect, a terminal is provided, comprising a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions being executed by the processor to implement the steps of the method according to the first aspect.

[0010] In a seventh aspect, a terminal is provided, comprising a processor and a communication interface, wherein the communication interface is configured to receive first request information from a network-side device, the first request information being used to request the terminal to measure and obtain first data, and the processor is configured to measure a positioning reference signal based on the first request information to obtain the first data.

[0011] In an eighth aspect, a network-side device is provided, comprising a processor and a memory, wherein the memory stores programs or instructions executable on the processor, and the programs or instructions, when executed by the processor, implement the steps of the method according to the first aspect.

[0012] In a ninth aspect, a network-side device is provided, comprising a processor and a communication interface, wherein the communication interface is configured to send first request information, the first request information being used to request a terminal to measure and obtain first data.

[0013] In a tenth aspect, a readable storage medium is provided, wherein the readable storage medium stores programs or instructions, and the programs or instructions, when executed by a processor, implement the steps of the method according to the first aspect or the steps of the method according to the second aspect.

[0014] In an eleventh aspect, a wireless communication system is provided, comprising a terminal and a network-side device, wherein the terminal is configured to implement the steps of the method according to the first aspect, and the network-side device is configured to implement the steps of the method according to the second aspect.

[0015] In a twelfth aspect, a chip is provided, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is configured to run programs or instructions to implement the method according to the first aspect or the method according to the second aspect.

[0016] In a thirteenth aspect, a computer program / program product is provided, which is stored in a storage medium and is executed by at least one processor to implement the method according to the first aspect or the method according to the second aspect.

[0017] In the embodiments of the present application, the terminal receives first request information from a network-side device, the first request information being used to request the terminal to measure and obtain first data, and the terminal measures a positioning reference signal based on the first request information to obtain the first data. In this way, the network-side device uses the first request information to trigger the terminal to measure and obtain the first data on demand, which is conducive to obtaining a large amount of first data for training, supervision, reasoning or management of an AI unit or AI feature, and is conducive to improving the prediction accuracy of the AI unit or AI feature. BRIEF DESCRIPTION OF DRAWINGS

[0018] Figure 1 This is a schematic diagram of a wireless communication system according to an embodiment of this application;

[0019] Figure 2 This is a schematic flowchart of a data collection method according to an embodiment of this application;

[0020] Figure 3 This is a schematic flowchart of a data collection method according to an embodiment of this application;

[0021] Figure 4 This is a schematic flowchart of a data collection method according to an embodiment of this application;

[0022] Figure 5 This is a schematic flowchart of a data collection method according to an embodiment of this application;

[0023] Figure 6 This is a schematic flowchart of a data collection method according to an embodiment of this application;

[0024] Figure 7 This is a schematic diagram of the structure of a data collection device according to an embodiment of this application;

[0025] Figure 8 This is a schematic diagram of the structure of a data collection device according to an embodiment of this application;

[0026] Figure 9 This is a schematic diagram of the structure of a communication device according to an embodiment of this application;

[0027] Figure 10 This is a schematic diagram of the terminal structure according to an embodiment of this application;

[0028] Figure 11 This is a schematic diagram of the structure of a network-side device according to an embodiment of this application;

[0029] Figure 12 This is a schematic diagram of the structure of a network-side device according to an embodiment of this application. Detailed Implementation

[0030] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0031] The terms "first," "second," etc., used in this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same class, not limited in number; for example, the first object can be one or more. Furthermore, "or" in this application indicates at least one of the connected objects. For example, the scope of protection for "A or B" covers at least three scenarios: Scenario 1: including A but not B; Scenario 2: including B but not A; Scenario 3: including both A and B. In addition, the terms "A and / or B," "at least one of A and B," and "at least one of A or B" also cover at least the above three scenarios. The character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0032] The term "instruction" in this application can be either a direct instruction (or explicit instruction) or an indirect instruction (or implicit instruction). A direct instruction can be understood as one in which the sender explicitly informs the receiver of specific information, the operation to be performed, or the requested result, etc., in the instruction sent. An indirect instruction can be understood as one in which the receiver determines the corresponding information based on the instruction sent by the sender, or makes a judgment and determines the operation to be performed or the requested result, etc., based on the judgment result.

[0033] It is worth noting that the technologies described in this application are not limited to Long Term Evolution (LTE) / LTE-Advanced (LTE-A) systems, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA), or other systems. The terms "system" and "network" in this application are often used interchangeably, and the described technologies can be used with the systems and radio technologies mentioned above, as well as with other systems and radio technologies. The following description describes New Radio (NR) systems for illustrative purposes, and the term NR is used in most of the following description; however, these technologies can also be applied to systems other than NR systems, such as 6th generation (6G) radio systems. th Generation 6G communication system.

[0034] Figure 1This diagram illustrates a block diagram of a wireless communication system applicable to embodiments of this application. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 can be a mobile phone, tablet computer, laptop computer, notebook computer, personal digital assistant (PDA), handheld computer, netbook, ultra-mobile personal computer (UMPC), mobile internet device (MID), augmented reality (AR), virtual reality (VR) device, robot, wearable device, flight vehicle, vehicle user equipment (VUE), shipboard equipment, pedestrian user equipment (PUE), smart home devices (home appliances with wireless communication capabilities, such as refrigerators, televisions, washing machines, or furniture), game consoles, personal computers (PCs), ATMs, or self-service machines, etc. Wearable devices include: smartwatches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart chains, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among these, in-vehicle devices can also be referred to as in-vehicle terminals, in-vehicle controllers, in-vehicle modules, in-vehicle components, in-vehicle chips, or in-vehicle units, etc. It should be noted that the specific type of terminal 11 is not limited in this application embodiment. Network-side equipment 12 may include access network equipment or core network equipment, wherein access network equipment may also be referred to as Radio Access Network (RAN) equipment, radio access network function, or radio access network unit. Access network equipment may include base stations, Wireless Local Area Network (WLAN) access points (AS), or Wireless Fidelity (WiFi) nodes, etc.The term "base station" can be referred to as Node B (NB), Evolved Node B (eNB), Next Generation Node B (gNB), New Radio Node B (NR Node B), Access Point, Relay Base Station (RBS), Serving Base Station (SBS), Base Transceiver Station (BTS), Radio Base Station, Radio Transceiver, Basic Service Set (BSS), Extended Service Set (ESS), Home Node B (HNB), Home Evolved Node B, Transmit / Receive Point (TRP), or any other suitable term in the relevant field, as long as the same technical effect is achieved. The term "base station" is not limited to any specific technical terminology. It should be noted that this application embodiment only uses a base station in an NR system as an example for description and does not limit the specific type of base station.

[0035] Core network equipment, also known as core network nodes, core network functions, or core network elements, includes, but is not limited to, at least one of the following: Mobility Management Entity (MME), Access and Mobility Management Function (AMF), Session Management Function (SMF), User Plane Function (UPF), Policy Control Function (PCF), Policy and Charging Rules Function (PCRF), Edge Application Server Discovery Function (EASDF), Unified Data Management (UDM), Unified Data Repository (UDR), Home Subscriber Server (HSS), Centralized network configuration (CNC), Network Repository Function (NRF), Network Exposure Function (NEF), Local NEF (or L-NEF), and Binding Support Function. Support Functions (BSF), Application Functions (AF), Location Management Functions (LMF), Gateway Mobile Location Centres (GMLC), and Network Data Analytics Functions (NWDAF), etc. It should be noted that this application embodiment only uses core network equipment in the NR system as an example and does not limit the specific type of core network equipment. If the name of the core network equipment mentioned in this application embodiment changes in subsequent protocol versions (e.g., 6G), it will still be within the scope of protection of this application.

[0036] Optionally, the core network equipment can be implemented by one or more functional modules in a single device, or by multiple devices working together; this application does not specifically limit this. It is understood that the aforementioned functional modules can be network elements in hardware devices, software functional modules running on dedicated hardware, or virtualized functional modules instantiated on a platform (e.g., a cloud platform).

[0037] The data collection method provided in this application will be described in detail below with reference to the accompanying drawings, through some embodiments and application scenarios.

[0038] In related technologies, the data acquisition process, such as the acquisition of positioning data of the target terminal, is often triggered by the positioning needs of the positioning client. The positioning needs of the positioning client are limited, and the measurement data or location data provided by the target terminal to the network-side device are limited or only for the positioning needs. Moreover, the coverage is strongly correlated with the movement range of the terminal, so it is impossible to obtain enough and widely covered positioning data through the existing positioning process.

[0039] To solve the above technical problems, such as Figure 2 As shown, this application embodiment provides a data collection method 200, which can be executed by a terminal. In other words, the method can be executed by software or hardware installed on the terminal, and the method includes the following steps.

[0040] S202: The terminal receives a first request message from a network-side device, the first request message being used to request the terminal to measure and obtain first data.

[0041] The network-side equipment in various embodiments of this application can be core network equipment, such as an LMF (Local Mesh Filter); it can also be access network equipment, such as a base station participating in positioning. The first request information can be a positioning request message, etc., and the first data can be data from measuring positioning reference signals, location data, etc. In one embodiment, the first request message is used to request the terminal to periodically measure positioning reference signals to obtain first data. In this embodiment, the first request message can also indicate the measurement period or measurement interval, the number of measurement periods to be performed, etc.

[0042] In one embodiment, the first request message is used to request the terminal to measure a positioning reference signal to obtain first data if a first event is met. In this embodiment, the first request message may also indicate the first event and a time interval within which the terminal needs to monitor the first event, within which the terminal determines whether the first event is met.

[0043] S204: The terminal measures the positioning reference signal based on the first request information to obtain the first data.

[0044] In this embodiment, the terminal can measure the positioning reference signal based on the first request information and obtain the first data. The first data can be the measurement data of the positioning reference signal or the location data. Optionally, the first data can be used for the AI-based positioning process.

[0045] In one embodiment, obtaining the first data includes: calculating location data based on measurement data of the positioning reference signal, for example, obtaining the location estimate of the terminal.

[0046] In one embodiment, the first data includes at least one of the following: Channel Impulse Response (CIR), Power Delay Profile (PDP), Delay Profile (DP), Reference Signal Receiving Power (RSRP), Time Difference of Arrival (TDOA), Time of Arrival (TOA), Reference Signal Carrier Phase (RSCP), Reference Signal Carrier Phase Difference (RSCPD), and the location estimate of the terminal.

[0047] In one embodiment, the terminal may be a localization reference unit (PRU), and the first data may be ground truth label data.

[0048] In one embodiment, after the terminal obtains the first data, the method further includes: the terminal sending response information to the network-side device, the response information being used to provide the first data to the network-side device.

[0049] In one embodiment, the AI ​​model may be located on a network-side device, which can train, infer, monitor, and manage the AI ​​model based on the first data. For training the AI ​​model, the network-side device can acquire first data from multiple terminals to train the AI ​​model, which facilitates improving the generalization ability of the AI ​​model and saves training resource overhead.

[0050] In one embodiment, the AI ​​model can also be located on the terminal side, where the terminal can train, infer, monitor, and manage the AI ​​model based on the first data. For AI model training, a single terminal can train part or all of the AI ​​model separately, acquiring the terminal's first data in real time, resulting in better AI model performance and reduced training overhead for network-side devices.

[0051] The data collection method provided in this application embodiment involves a terminal receiving a first request message from a network-side device. The first request message requests the terminal to measure and acquire first data. The terminal measures a positioning reference signal based on the first request message to acquire the first data. In this way, the network-side device uses the first request message to trigger the terminal to measure and acquire the first data as needed. This is beneficial for acquiring a large amount of first data for training, supervision, inference, or management of AI units or AI features, and for improving the prediction accuracy of AI units or AI features.

[0052] The data collection method provided in this application embodiment can be used for AI positioning use cases. It introduces terminal collection or measurement of positioning reference signals to obtain first data (positioning data, such as measurement results or location prediction results). This enables network-side devices to obtain a large amount of first data that is not tied to positioning requirements for AI model training, supervision, inference or management, which is beneficial to improving the performance indicators of AI units or AI features.

[0053] The AI ​​units / AI models in the various embodiments of this application may also be referred to as ML (machine learning) models, ML units, AI structures, AI functions, AI characteristics, machine learning models, neural networks, neural network functions, neural network features, etc. Alternatively, the AI ​​unit / AI model may refer to a processing unit capable of implementing specific algorithms, formulas, processing flows, capabilities, etc., related to AI. Or, the AI ​​unit / AI model may be a processing method, algorithm, function, module, or unit for a specific dataset. Alternatively, the AI ​​unit / AI model may be a processing method, algorithm, function, module, or unit running on AI / ML related hardware such as a Graphics Processing Unit (GPU), Neural Processing Unit (NPU), Tensor Processing Unit (TPU), or Application-Specific Integrated Circuit (ASIC). This invention does not specifically limit these aspects. Optionally, the specific dataset includes the inputs and / or outputs of the AI ​​unit / AI model.

[0054] The identifier of the AI ​​unit / AI model may be an AI model identifier, an AI structure identifier, an AI algorithm identifier, or an identifier of a specific dataset associated with the AI ​​unit / AI model, or an identifier of a specific scenario, environment, channel characteristics, or device related to the AI / ML, or an identifier of a function, characteristic, capability, or module related to the AI / ML. This application does not make any specific limitations on this.

[0055] In one embodiment, the measurement and positioning reference signal is periodically generated, and the first request information includes at least one of the following:

[0056] 1) The measurement period or measurement interval of the positioning reference signal.

[0057] 2) The number of measurements of the positioning reference signal.

[0058] In this embodiment, the network-side device can configure the terminal to perform periodic positioning measurement behavior and record the measurement locally on the terminal, thereby enabling the terminal to report positioning data in batches through LTE Positioning Protocol (LPP) messages, improving the data collection efficiency of the network-side device.

[0059] In one embodiment, the data collection method further includes: a terminal receiving second request information from a network-side device, the second request information being associated with the first request information, the second request information being used to request the terminal to periodically report the first data. The measurement period or measurement interval indicated by the first request information is equal to M times the reporting period indicated by the second request information, where M is a decimal less than or equal to 1; or, the number of measurements indicated by the first request information is equal to N times the number of reports indicated by the second request information, where N is an integer greater than or equal to 1.

[0060] In one embodiment, the first request information and the second request information are carried by the same message.

[0061] In one embodiment, the first request information and the second request information are carried by different messages. It is worth noting that in this case, the order in which the terminal receives the first request information and the second request information is not limited. That is, the terminal can receive the first request information first and then the second request information, or the terminal can receive the second request information first and then the first request information.

[0062] In this embodiment, since the measurement period or measurement interval is less than the reporting period, or the number of measurements is greater than the number of reports, the reporting overhead of the terminal can be reduced.

[0063] In one embodiment, the measurement of the positioning reference signal is performed upon fulfillment of a first event, wherein the first request information includes at least one of the following:

[0064] 1) The first event.

[0065] 2) Monitoring time information, wherein the monitoring time information is used to indicate the time of monitoring the first event.

[0066] In this embodiment, the network-side device can configure the terminal to perform event-triggered positioning measurement behavior and record the measurement locally on the terminal, thereby enabling the terminal to report positioning data in batches through LPP messages, thus improving the efficiency of network-side data collection.

[0067] In one embodiment, the first event includes at least one of the following:

[0068] 1) Changes occur in the cell, cell list, or area. For example, the terminal enters a specific cell or area and is triggered to collect data (i.e., measure and acquire the first data). This specific cell or area belongs to the area where the AI ​​feature or AI unit is applicable.

[0069] 2) The associated ID changes. For example, when the terminal receives a change in the associated ID of the AI ​​feature or AI unit from the network side, the terminal is triggered to collect data (i.e., measure and acquire the first data).

[0070] 3) The results of the first AI feature or AI unit are not available.

[0071] 4) The performance index of the first AI feature or AI unit meets the condition corresponding to the first threshold, for example, the performance index of the first AI feature or AI unit is lower than the first threshold.

[0072] 5) The terminal's moving speed meets the condition corresponding to the second threshold, and low terminal mobility triggers data collection behavior. For example, during the first observation time, if the difference between the RSRP and / or Reference Signal Receiving Quality (RSRQ) measurement value of the first reference signal in the terminal's current cell and the first reference value is greater than the second threshold, the first reference signal can be a Channel State Information-Reference Signal (CSI-RS) or a Synchronization Signal and Physical Broadcast Channel Block (SSB). In other examples, the terminal's moving speed meeting the condition corresponding to the second threshold can also be determined by the terminal itself.

[0073] 6) The reference signal received strength of the terminal satisfies the third threshold condition. For example, the terminal is located at the cell edge, and the measured RSRP and / or RSRQ values ​​of the first reference signal of the terminal in the current cell are less than the third threshold. In other examples, the terminal can also determine whether the reference signal received strength satisfies the third threshold condition.

[0074] The aforementioned first AI feature or AI unit is located on the terminal side and is used to predict the location of the terminal or predict measurement data related to the location of the terminal.

[0075] In one embodiment, after the terminal receives the first request information from the network-side device, the method further includes: if the terminal is unable to measure the positioning reference signal based on the first request information; or if the terminal measures the positioning reference signal based on the first request information but is unable to obtain the first data, the terminal reports a failure reason value.

[0076] In this embodiment, when the terminal is unable to support batch measurement reporting, it informs the network-side device of the reason for the positioning failure related to the lack of support for data collection, thus giving the terminal flexibility when assisting the network side in data collection.

[0077] It is understood that after receiving the first request information from the network-side device, the terminal can send the first response information to the network-side device. The first response information is used to provide the first data to the network-side device. Alternatively, if the terminal is unable to measure the positioning reference signal based on the first request information or if the terminal measures the positioning reference signal based on the first request information but is unable to obtain the first data, the terminal may report a failure reason value.

[0078] In one embodiment, the failure reason value includes at least one of the following:

[0079] 1) Periodic measurements are unavailable, corresponding to an embodiment where the terminal periodically measures the positioning reference signal.

[0080] 2) Measurement triggered by the first event is unavailable, corresponding to an embodiment in which the terminal measures the positioning reference signal when the first event is met.

[0081] 3) First data acquisition is not supported.

[0082] 4) The terminal is not supported as a Positioning Reference Unit (PRU).

[0083] 5) The terminal has insufficient memory.

[0084] In one embodiment, the terminal measuring the positioning reference signal based on the first request information to obtain the first data includes: the terminal receiving positioning configuration information from the network-side device, the positioning configuration information being used to provide information about the positioning reference signal; and the terminal measuring the positioning reference signal based on the first request information and the positioning configuration information to obtain the first data.

[0085] In this embodiment, the positioning configuration information is used to instruct the terminal how to receive the positioning reference signal, which can be obtained through the LTE Positioning Protocol Provide Assistance Data (LPP) message or through the Positioning System Information Block (posSIB) message.

[0086] In one embodiment, when the terminal is in a disconnected state, the terminal measures a positioning reference signal based on the first request information to obtain the first data, including: when the terminal is in a normal camping state or selects any cell state, the terminal measures a positioning reference signal based on the first request information to obtain the first data.

[0087] To illustrate the data collection method provided in the embodiments of this application in detail, the following will describe it in conjunction with several specific embodiments.

[0088] Example 1

[0089] The main idea of ​​this embodiment is that the network-side device (LMF) configures the UE to perform periodic measurement behavior, so that the UE can also use the DL-PRS configuration information obtained by the system message to measure DL-PRS and / or calculate the location, thereby achieving the effect of the terminal periodically collecting downlink measurement data.

[0090] like Figure 3 As shown, the corresponding signaling flow is as follows:

[0091] Step 1. The LMF sends a first request message to the UE, requesting the UE to perform periodic positioning measurements. This first request is carried via an LTE Location Protocol Request Location Information (LPP) message. The first request message includes at least one of the following:

[0092] 1) The measurement period or measurement interval of the positioning reference signal.

[0093] 2) The number of positioning reference signals measured.

[0094] In one embodiment, the method further includes: the terminal receiving second request information from a network-side device, the second request information being associated with the first request information, the second request information being used to request the terminal to periodically report the first data, wherein the measurement period or measurement interval indicated by the first request information is equal to M times the reporting period indicated by the second request information, where M is a decimal less than or equal to 1; or, the number of measurements indicated by the first request information is equal to N times the number of reports indicated by the second request information, where N is an integer greater than or equal to 1.

[0095] In this embodiment, since the measurement period or measurement interval is less than the reporting period, or the number of measurements is greater than the number of reports, the reporting overhead of the terminal can be reduced.

[0096] Step 2. Based on the first request information and the location configuration information of the first DL-PRS, the UE performs periodic measurements on the DL-PRS and records the measurement results and / or location calculation results locally. For non-connected UEs, measurement recording should be performed in the "normal camping" state and the "select any cell" state. The location configuration information of the first DL-PRS is used to indicate how the UE should receive the DL-PRS, and it can be obtained through LPP Provide Assistance Data; or through posSIB location system messages.

[0097] When the required number of measurements is reached, the terminal stores the measurement record and stops the measurement.

[0098] Step 3. The UE sends a first response message to the LMF, which provides periodic positioning results corresponding to the first request message. The first request message is carried through an LPP Provide Location Information message. The first response message can be transmitted through one or more LPP Provide Location Information messages; it can also be represented by multiple measurement instances.

[0099] Example 2

[0100] The main idea of ​​this embodiment is that the LMF configures the UE to perform measurement behaviors triggered by location events / AI-related events, so that the UE can determine how to collect downlink measurement data based on predefined events that trigger location data collection. The UE's measurement / collection behavior is associated with specific events to optimize and train the model in a targeted manner, thereby improving the model's accuracy or generalization ability.

[0101] like Figure 4 As shown, the corresponding steps are illustrated below:

[0102] Step 1. The LMF sends a first request message to the UE, requesting the UE to perform a location measurement triggered by a first event. This first request message is carried via an LPP Request Location Information message. The first request message includes at least one of the following:

[0103] 1) The first event.

[0104] 2) Monitoring time information, wherein the monitoring time information is used to indicate the time of monitoring the first event.

[0105] In this embodiment, the network-side device can configure the terminal to perform event-triggered positioning measurement behavior and record the measurement locally on the terminal, thereby enabling the terminal to report positioning data in batches through LPP messages, thus improving the efficiency of network-side data collection.

[0106] In one embodiment, the first event includes at least one of the following:

[0107] 1) Changes occur in the cell, cell list, or area. For example, the terminal enters a specific cell or area and is triggered to collect data (i.e., measure and acquire the first data). This specific cell or area belongs to the area where the AI ​​feature or AI unit is applicable.

[0108] 2) The associated ID changes. For example, when the terminal receives a change in the associated ID of the AI ​​feature or AI unit from the network side, the terminal is triggered to collect data (i.e., measure and acquire the first data).

[0109] 3) The results of the first AI feature or AI unit are not available.

[0110] 4) The performance index of the first AI feature or AI unit meets the condition corresponding to the first threshold, for example, the performance index of the first AI feature or AI unit is lower than the first threshold.

[0111] 5) The terminal's moving speed meets the condition corresponding to the second threshold, and low terminal mobility triggers data collection behavior. For example, during the first observation time, if the difference between the RSRP and / or Reference Signal Receiving Quality (RSRQ) measurement value of the first reference signal in the terminal's current cell and the first reference value is greater than the second threshold, the first reference signal can be a Channel State Information-Reference Signal (CSI-RS) or a Synchronization Signal and Physical Broadcast Channel Block (SSB). In other examples, the terminal's moving speed meeting the condition corresponding to the second threshold can also be determined by the terminal itself.

[0112] 6) The reference signal received strength of the terminal satisfies the third threshold condition. For example, the terminal is located at the cell edge, and the measured RSRP and / or RSRQ values ​​of the first reference signal of the terminal in the current cell are less than the third threshold. In other examples, the terminal can also determine whether the reference signal received strength satisfies the third threshold condition.

[0113] The aforementioned first AI feature or AI unit is located on the terminal side and is used to predict the location of the terminal or predict measurement data related to the location of the terminal.

[0114] Step 2. Based on the first request information and the location configuration information of the first DL-PRS, the UE continuously monitors the first event during the monitoring period. When the first event is met, the UE measures the DL-PRS and records the measurement result and / or location calculation result locally. For non-connected UEs, measurement recording should be performed in the "normal camping" state and the "select any cell" state. The location configuration information of the first DL-PRS is used to indicate how the UE should receive the DL-PRS, which can be obtained through LPP ProvideAssistance Data; or through posSIB location system messages.

[0115] When the detection time is reached, the terminal stores the measurement record and stops the measurement.

[0116] Step 3. The UE sends a first response message to the LMF, which provides the location result triggered by the event corresponding to the first request message. The first request message is carried through an LPP Request Location Information message. The first response message can be transmitted through one or more LPP Provide Location Information messages; it can also be represented by multiple measurement instances.

[0117] Example 3

[0118] The main idea of ​​this embodiment is: the LMF configures the UE to perform positioning measurement / reporting behavior. When the UE cannot obtain the positioning result through the AI ​​model, the UE indicates to the LMF the reason for its positioning failure.

[0119] like Figure 5 As shown, the corresponding steps are illustrated below:

[0120] Step 1. The LMF requests the UE to perform location measurement, which is carried in the LPP Request Location Information message.

[0121] Step 2. Based on the above request, the UE is unable to perform the corresponding positioning measurement; or the UE performs the positioning measurement according to the request but does not obtain any positioning measurement result or location result, the UE sends the failure reason value to the LMF, which is carried in the LPP ProvideLocation Information message.

[0122] In one embodiment, the failure reason value includes at least one of the following:

[0123] 1) Periodic measurements are unavailable, corresponding to an embodiment where the terminal periodically measures the positioning reference signal.

[0124] 2) Measurement triggered by the first event is unavailable, corresponding to an embodiment in which the terminal measures the positioning reference signal when the first event is met.

[0125] 3) First data acquisition is not supported.

[0126] 4) The terminal is not supported as a Positioning Reference Unit (PRU).

[0127] 5) The terminal has insufficient memory.

[0128] In this embodiment, when the terminal is unable to support batch measurement reporting, it informs the network-side device of the reason for the positioning failure related to the lack of support for data collection, thus giving the terminal flexibility when assisting the network side in data collection.

[0129] The above combination Figure 2 A data collection method according to embodiments of this application is described in detail. The following will combine... Figure 6 A data collection method according to another embodiment of this application is described in detail. It will be understood that the interaction between the network-side device and the terminal, as described from the perspective of the network-side device, is... Figure 2 The terminal-side descriptions in the methods shown are the same or corresponding; to avoid repetition, relevant descriptions are omitted as appropriate.

[0130] Figure 6 This is a schematic diagram illustrating the implementation flow of a data collection method according to an embodiment of this application, which can be applied to network-side devices. For example... Figure 6 As shown, the method 600 includes the following steps.

[0131] S602: The network-side device sends a first request message, which is used to request the terminal to measure and obtain first data.

[0132] The data collection method provided in this application embodiment allows the network-side device to trigger terminal measurement and acquire first data on demand using first request information. This is beneficial for acquiring a large amount of first data for training, supervision, inference, or management of AI units or AI features, and for improving the prediction accuracy of AI units or AI features.

[0133] In one embodiment, after the network-side device sends the first request information, the method further includes: the network-side device receiving response information, the response information being used to provide the first data to the network-side device.

[0134] In one embodiment, the first data is used for an AI-based positioning process.

[0135] In one embodiment, the request information is used to request the terminal to periodically measure the positioning reference signal, and the first request information includes at least one of the following: 1) the measurement period or measurement interval of the positioning reference signal; 2) the number of measurements of the positioning reference signal.

[0136] In one embodiment, the method further includes: the network-side device sending a second request message, the second request message being associated with the first request message, the second request message being used to request the terminal to periodically report the first data, wherein the measurement period or measurement interval indicated by the first request message is equal to M times the reporting period indicated by the second request message, where M is a decimal less than or equal to 1; or, the number of measurements indicated by the first request message is equal to N times the number of reports indicated by the second request message, where N is an integer greater than or equal to 1.

[0137] In one embodiment, the request information is used to request the terminal to measure a positioning reference signal in the event of a first event, wherein the first request information includes at least one of the following: 1) the first event; 2) monitoring time information, wherein the monitoring time information is used to indicate the time for monitoring the first event.

[0138] In one embodiment, the first event includes at least one of the following: 1) a change in the cell, cell list, or area; 2) a change in the associated identifier; 3) the result of the first AI feature or AI unit is unavailable; 4) the performance index of the first AI feature or AI unit meets the condition corresponding to the first threshold; 5) the moving speed of the terminal meets the condition corresponding to the second threshold; 6) the reference signal reception strength of the terminal meets the condition corresponding to the third threshold; wherein, the first AI feature or AI unit is used to predict the location of the terminal or predict measurement data related to the location of the terminal.

[0139] In one embodiment, after the network-side device sends the first request information, the method further includes: the network-side device receiving a failure reason value, the failure reason value being used to indicate that the terminal cannot measure the positioning reference signal based on the first request information; or the terminal measures the positioning reference signal based on the first request information but cannot obtain the first data.

[0140] In one embodiment, the failure reason value includes at least one of the following: 1) periodic measurement is unavailable; 2) measurement triggered by a first event is unavailable; 3) first data acquisition is not supported; 4) the terminal is not supported as a PRU; 5) the terminal has insufficient memory.

[0141] In one embodiment, the method further includes: the network-side device sending positioning configuration information, the positioning configuration information being used to provide information about positioning reference signals.

[0142] The data collection method provided in this application can be executed by a data collection device. This application uses an example of a data collection device executing the data collection method to illustrate the data collection device provided in this application.

[0143] This application provides a data collection device. As an example, the data collection device may be a communication device or a component within a communication device, such as a chip. The communication device may be a terminal, a network-side device, or a server, etc. Exemplarily, the terminal may include, but is not limited to, the type of terminal 11 listed above, and the network-side device may include, but is not limited to, the type of network-side device 12 listed above. This application does not impose specific limitations.

[0144] The data collection device includes a receiving module, a transmitting module, and a processing module. These modules can be implemented in software or hardware. When implemented in hardware, the processing module can be implemented by a processor. For example, the processor can include general-purpose processors, special-purpose processors, such as a Central Processing Unit (CPU), microprocessor, Digital Signal Processor (DSP), Artificial Intelligence (AI) processor, Graphics Processing Unit (GPU), Application Specific Integrated Circuit (ASIC), Network Processor (NP), Field Programmable Gate Array (FPGA), or other programmable logic devices, gate circuits, transistors, discrete hardware components, etc. The receiving and transmitting modules can be implemented by a communication interface, which can include one or more of the following: transceiver, pins, circuits, bus, radio frequency unit, etc.

[0145] For details, see Figure 7 When the data collection device is a terminal or a component within a terminal, the data collection device 700 includes:

[0146] The receiving module 702 is used to receive a first request information from a network-side device, the first request information being used to request the device to measure and acquire first data.

[0147] The processing module 704 is used to measure the positioning reference signal based on the first request information to obtain the first data.

[0148] In this embodiment, the terminal receives a first request message from a network-side device. The first request message is used to request the terminal to measure and acquire first data. The terminal measures a positioning reference signal based on the first request message to acquire the first data. In this way, the network-side device uses the first request message to trigger the terminal to measure and acquire the first data as needed. This is beneficial for acquiring a large amount of first data for training, supervision, inference, or management of AI units or AI features, and for improving the prediction accuracy of AI units or AI features.

[0149] In one embodiment, the device further includes a sending module for sending response information to the network-side device, the response information being used to provide the first data to the network-side device.

[0150] In one embodiment, the measurement of the positioning reference signal is performed periodically, and the first request information includes at least one of the following: 1) the measurement period or measurement interval of the positioning reference signal; 2) the number of measurements of the positioning reference signal.

[0151] In one embodiment, the measurement and positioning reference signal is performed in response to a first event, wherein the first request information includes at least one of the following: 1) the first event; 2) monitoring time information, wherein the monitoring time information is used to indicate the time for monitoring the first event.

[0152] In one embodiment, the system further includes a sending module, configured to report a failure reason value when the positioning reference signal cannot be measured based on the first request information, or when the positioning reference signal is measured based on the first request information but the first data cannot be obtained.

[0153] See Figure 8 When the data collection device is a network-side device or a component of a network-side device, the data collection device 800 includes a sending module 802 for sending a first request message, the first request message being used to request the terminal to measure and obtain first data.

[0154] In this embodiment, the network-side device uses the first request information to trigger the terminal to measure and acquire the first data on demand. This is beneficial for acquiring a large amount of first data for training, supervision, inference, or management of AI units or AI features, and for improving the prediction accuracy of AI units or AI features.

[0155] In one embodiment, the device further includes a receiving module for receiving response information, the response information being used to provide the first data to the network-side device.

[0156] In one embodiment, the request information is used to request the terminal to periodically measure the positioning reference signal, and the first request information includes at least one of the following: 1) the measurement period or measurement interval of the positioning reference signal; 2) the number of measurements of the positioning reference signal.

[0157] In one embodiment, the request information is used to request the terminal to measure a positioning reference signal in the event of a first event, wherein the first request information includes at least one of the following: 1) the first event; 2) monitoring time information, wherein the monitoring time information is used to indicate the time for monitoring the first event.

[0158] In one embodiment, the system further includes a receiving module for receiving a failure reason value, the failure reason value being used to indicate that the terminal is unable to measure the positioning reference signal based on the first request information; or that the terminal measures the positioning reference signal based on the first request information but is unable to obtain the first data.

[0159] The data collection device provided in this application embodiment can achieve... Figures 2 to 6 The various processes implemented in the method embodiments achieve the same technical effect, and will not be described again here to avoid repetition.

[0160] like Figure 9 As shown, this application embodiment also provides a communication device 900, including a processor 901 and a memory 902. The memory 902 stores programs or instructions that can run on the processor 901. For example, when the communication device 900 is a terminal, the program or instructions executed by the processor 901 implement the various steps of the above-described data collection method embodiment and achieve the same technical effect. When the communication device 900 is a network-side device, the program or instructions executed by the processor 901 implement the various steps of the above-described data collection method embodiment and achieve the same technical effect. To avoid repetition, further details are omitted here.

[0161] This application embodiment also provides a terminal, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement, for example... Figure 2 The steps in the method embodiment shown are illustrated. This terminal embodiment corresponds to the above-described terminal-side method embodiment. All implementation processes and methods of the above-described method embodiments can be applied to this terminal embodiment and achieve the same technical effect. The terminal can be... Figure 7 The data collection device shown. Specifically, Figure 10 A schematic diagram of the hardware structure of a terminal to implement an embodiment of this application.

[0162] The terminal 1000 includes, but is not limited to, at least some of the following components: radio frequency unit 1001, network module 1002, audio output unit 1003, input unit 1004, sensor 1005, display unit 1006, user input unit 1007, interface unit 1008, memory 1009, and processor 1010.

[0163] Those skilled in the art will understand that the terminal 1000 may also include a power supply (such as a battery) for supplying power to various components. The power supply may be logically connected to the processor 1010 through a power management system, thereby enabling functions such as managing charging, discharging, and power consumption through the power management system. Figure 10 The terminal structure shown does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown, or combine certain components, or have different component arrangements, which will not be elaborated here.

[0164] It should be understood that, in this embodiment, the input unit 1004 may include a graphics processor 10041 and a microphone 10042. The graphics processor 10041 processes image data of still images or videos obtained by an image capture device (such as a camera) in video capture mode or image capture mode. The display unit 1006 may include a display panel 10061, which may be configured in the form of a liquid crystal display, an organic light-emitting diode, or the like. The user input unit 1007 includes a touch panel 10071 and at least one of other input devices 10072. The touch panel 10071 is also called a touch screen. The touch panel 10071 may include a touch detection device and a touch controller. Other input devices 10072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, power buttons, etc.), trackballs, mice, and joysticks, which will not be described in detail here.

[0165] In this embodiment, after receiving downlink data from the network-side device, the radio frequency unit 1001 can transmit it to the processor 1010 for processing; in addition, the radio frequency unit 1001 can send uplink data to the network-side device. Typically, the radio frequency unit 1001 includes, but is not limited to, antennas, amplifiers, transceivers, couplers, low-noise amplifiers, duplexers, etc.

[0166] The memory 1009 can be used to store software programs or instructions, as well as various data. The memory 1009 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 1009 may include volatile memory or non-volatile memory. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 1009 in this embodiment includes, but is not limited to, these and any other suitable types of memory.

[0167] The processor 1010 may include one or more processing units; optionally, the processor 1010 integrates an application processor and a modem processor, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into the processor 1010.

[0168] The radio frequency unit 1001 is used to receive a first request information from a network-side device, the first request information being used to request the terminal to measure and acquire first data; the processor 1010 is used to measure a positioning reference signal based on the first request information to acquire the first data.

[0169] In this embodiment, the terminal receives a first request message from a network-side device. The first request message is used to request the terminal to measure and acquire first data. The terminal measures a positioning reference signal based on the first request message to acquire the first data. In this way, the network-side device uses the first request message to trigger the terminal to measure and acquire the first data as needed. This is beneficial for acquiring a large amount of first data for training, supervision, inference, or management of AI units or AI features, and for improving the prediction accuracy of AI units or AI features.

[0170] It is understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the data collection method embodiment and achieve the same or corresponding technical effect. To avoid repetition, it will not be described again here.

[0171] This application embodiment also provides a network-side device, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement, for example... Figure 6 The steps of the method embodiment shown are illustrated. This network-side device embodiment corresponds to the above-described network-side device method embodiment. All implementation processes and methods of the above-described method embodiments can be applied to this network-side device embodiment and can achieve the same technical effect.

[0172] Specifically, embodiments of this application also provide a network-side device, which can be... Figure 8 The data collection device shown. (As shown) Figure 11 As shown, the network-side device 1100 includes: an antenna 111, a radio frequency (RF) device 112, a baseband device 113, a processor 114, and a memory 115. The antenna 111 is connected to the RF device 112. In the uplink direction, the RF device 112 receives information through the antenna 111 and transmits the received information to the baseband device 113 for processing. In the downlink direction, the baseband device 113 processes the information to be transmitted and sends it to the RF device 112. The RF device 112 processes the received information and transmits it through the antenna 111.

[0173] The method executed by the network-side device in the above embodiments can be implemented in the baseband device 113, which includes a baseband processor.

[0174] Baseband device 113 may include, for example, at least one baseband board on which multiple chips are disposed, such as Figure 11 As shown, one of the chips is, for example, a baseband processor, which is connected to the memory 115 via a bus interface to call the program in the memory 115 and execute the network device operation shown in the above method embodiment.

[0175] The network-side device may also include a network interface 116, such as a Common Public Radio Interface (CPRI).

[0176] Specifically, the network-side device 1100 in this application embodiment further includes: instructions or programs stored in memory 115 and executable on processor 114, wherein processor 114 calls the instructions or programs in memory 115 to execute. Figure 8 The methods executed by each module shown achieve the same technical effect, and to avoid repetition, they will not be described in detail here.

[0177] Specifically, embodiments of this application also provide a network-side device. For example... Figure 12 As shown, the network-side device 1200 includes: a processor 1201, a network interface 1202, and a memory 1203. This network-side device can be... Figure 8 The data collection device shown. The network interface 1202 is, for example, a common public radio interface (CPRI).

[0178] Specifically, the network-side device 1200 in this application embodiment further includes: instructions or programs stored in memory 1203 and executable on processor 1201, wherein processor 1201 calls the instructions or programs in memory 1203 to execute. Figure 8 The methods executed by each module shown achieve the same technical effect, and to avoid repetition, they will not be described in detail here.

[0179] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described data collection method embodiments and achieve the same technical effects. To avoid repetition, they will not be described again here.

[0180] The processor mentioned above is the processor in the terminal described in the above embodiments. The readable storage medium includes computer-readable storage media, such as computer read-only memory (ROM), random access memory (RAM), magnetic disk, or optical disk. In some examples, the readable storage medium may be a non-transient readable storage medium.

[0181] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above data collection method embodiment and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0182] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0183] This application also provides a computer program / program product, which is stored in a storage medium and executed by at least one processor to implement the various processes of the above-described data collection method embodiments, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0184] This application also provides a data collection system, including: a terminal and a network-side device, wherein the terminal can be used to perform the steps of the data collection method described above, and the network-side device can be used to perform the steps of the data collection method described above.

[0185] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0186] From the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of computer software products plus necessary general-purpose hardware platforms, and of course, they can also be implemented by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes several instructions to cause the terminal or network-side device to execute the methods described in the various embodiments of this application.

[0187] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other implementations under the guidance of this application without departing from the spirit and scope of the claims. All of these implementations are within the protection scope of this application.

Claims

1. A data collection method characterized by, The method comprises: a terminal receiving first request information from a network side device, the first request information being used for requesting the terminal to measure and acquire first data; the terminal measuring a positioning reference signal based on the first request information to acquire the first data.

2. The method of claim 1, wherein, After the first data is acquired, the method further comprises: the terminal sending response information to the network side device, the response information being used for providing the first data to the network side device.

3. The method according to claim 1 or 2, characterized in that, The first data is used for an AI-based positioning process.

4. The method according to any one of claims 1 to 3, characterized in that, The first data comprises at least one of the following: a channel impulse response (CIR), a power delay profile (PDP), a delay profile (DP), a reference signal received power (RSRP), a time difference of arrival (TDOA), a time of arrival (TOA), a reference signal carrier phase (RSCP), a reference signal carrier phase difference (RSCPD), and a position estimate of the terminal.

5. The method according to any one of claims 1 to 4, characterized in that, The measurement of the positioning reference signal is performed periodically, and the first request information comprises at least one of the following: a measurement period or a measurement interval of the positioning reference signal; and a number of measurements of the positioning reference signal.

6. The method of claim 5, wherein, The method further comprises: the terminal receiving second request information from the network side device, the second request information being associated with the first request information, and the second request information being used for requesting the terminal to periodically report the first data, wherein the measurement period or the measurement interval indicated by the first request information is equal to M times of a reporting period indicated by the second request information, M being a decimal number less than or equal to 1; or the number of measurements indicated by the first request information is equal to N times of a number of reports indicated by the second request information, N being an integer greater than or equal to 1.

7. The method according to any one of claims 1 to 4, characterized in that, The measurement of the positioning reference signal is performed when a first event is met, and the first request information comprises at least one of the following: the first event; and monitoring time information used for indicating a time of monitoring the first event.

8. The method of claim 7, wherein, The first event comprises at least one of the following: a change in a cell, a cell list, or a region; a change in an associated identifier; a result of a first AI feature or AI unit being unavailable; a performance indicator of the first AI feature or AI unit satisfying a condition corresponding to a first threshold value; a moving speed of the terminal satisfying a condition corresponding to a second threshold value; a reference signal receiving strength of the terminal satisfying a condition corresponding to a third threshold value; wherein the first AI feature or AI unit is used for predicting a position of the terminal or predicting measurement data related to the position of the terminal.

9. The method according to any one of claims 1 or 3 to 8, characterized in that, After the terminal receives the first request information from the network side device, the method further comprises: in a case where the terminal cannot measure the positioning reference signal based on the first request information or the terminal measures the positioning reference signal based on the first request information but cannot acquire the first data, the terminal reports a failure cause value.

10. The method of claim 9, wherein, The failure cause value comprises at least one of the following: periodic measurement being unavailable; measurement triggered by the first event being unavailable; first data acquisition being unsupported; the terminal being a positioning reference unit (PRU) being unsupported; and a memory of the terminal being insufficient.

11. The method according to any one of claims 1 to 10, characterized in that, The terminal measures a positioning reference signal based on the first request information to obtain the first data, and the method comprises the following steps: The terminal receives positioning configuration information from the network side device, and the positioning configuration information is used to provide information of the positioning reference signal. The terminal measures a positioning reference signal based on the first request information and the positioning configuration information to obtain the first data.

12. The method according to any one of claims 1 to 11, characterized in that, The terminal is in a non-connected state, and the terminal measures a positioning reference signal based on the first request information to obtain the first data. The terminal measures a positioning reference signal based on the first request information to obtain the first data in a normal camping state or a selected arbitrary cell state.

13. A data collection method characterized by comprising: The method comprises the following steps: The network side device sends first request information, and the first request information is used to request the terminal to measure and obtain first data.

14. The method of claim 13, wherein, After the network side device sends the first request information, the method further comprises the following steps: The network side device receives response information, and the response information is used to provide the first data to the network side device.

15. The method according to claim 13 or 14, characterized in that, The first data is used for an AI-based positioning process.

16. The method according to any one of claims 13 to 15, characterized in that, The request information is used to request the terminal to periodically measure a positioning reference signal, and the first request information comprises at least one of the following: A measurement period or a measurement interval of the positioning reference signal; A measurement number of the positioning reference signal.

17. The method of claim 16, wherein, The method further comprises the following steps: The network side device sends second request information, and the second request information is associated with the first request information, and the second request information is used to request the terminal to periodically report the first data, wherein The measurement period or the measurement interval indicated by the first request information is equal to M times of a reporting period indicated by the second request information, and M is a decimal less than or equal to 1; or The measurement number indicated by the first request information is equal to N times of a reporting number indicated by the second request information, and N is an integer greater than or equal to 1.

18. The method according to any one of claims 13 to 15, characterized in that, The request information is used to request the terminal to measure a positioning reference signal when a first event is met, and the first request information comprises at least one of the following: The first event; Monitoring time information, which is used to indicate a time of monitoring the first event.

19. The method of claim 18, wherein, The first event comprises at least one of the following: A change in a cell, a cell list or an area; A change in an associated identifier; A result of a first AI feature or AI unit is unavailable; A performance index of the first AI feature or AI unit meets a condition corresponding to a first threshold value; A moving speed of the terminal meets a condition corresponding to a second threshold value; A reference signal receiving strength of the terminal meets a condition corresponding to a third threshold value; The first AI feature or AI unit is used to predict a position of the terminal or predict measurement data related to the position of the terminal.

20. The method according to any one of claims 13 or 15 to 19, characterized in that, After the network side device sends the first request information, the method further comprises the following steps: The network side device receives a failure cause value, and the failure cause value is used to indicate that the terminal cannot measure a positioning reference signal based on the first request information, or the terminal measures a positioning reference signal based on the first request information but cannot obtain first data.

21. The method of claim 20, wherein, The failure cause value comprises at least one of: Periodic measurement is unavailable; First event triggered measurement is unavailable; First data acquisition is not supported; The terminal as a PRU is not supported; The terminal is out of memory.

22. The method according to any one of claims 13 to 21, characterized in that, The method further comprises: The network side device sends positioning configuration information, and the positioning configuration information is used to provide information of a positioning reference signal.

23. A data collection device, comprising: Comprise: A receiving module is configured to receive first request information from a network side device, wherein the first request information is used to request the apparatus to measure and acquire first data; A processing module is configured to measure a positioning reference signal based on the first request information to acquire the first data.

24. The apparatus of claim 23, wherein, Further comprise a sending module, for sending response information to the network side device, the response information is used to provide the first data to the network side device.

25. The apparatus of claim 23 or 24, wherein, The measurement of the positioning reference signal is periodic, and the first request information comprises at least one of: The measurement period or measurement interval of the positioning reference signal; The number of measurements of the positioning reference signal.

26. The apparatus of claim 23 or 24, wherein, The measurement of the positioning reference signal is performed when a first event is met, and the first request information comprises at least one of: The first event; Monitoring time information, wherein the monitoring time information is used to indicate the time of monitoring the first event.

27. The apparatus of any one of claims 23 or 25-26, wherein, Further comprise a sending module, for reporting a failure cause value in a case that the positioning reference signal cannot be measured based on the first request information; or the positioning reference signal is measured based on the first request information but the first data cannot be acquired.

28. A data collection device, comprising: Comprise: A sending module is configured to send first request information, wherein the first request information is used to request a terminal to measure and acquire first data.

29. The apparatus of claim 28, wherein, Further comprise a receiving module, configured to receive response information, wherein the response information is used to provide the first data to the network side device.

30. The apparatus of claim 28 or 29, wherein, The request information is used to request the terminal to periodically measure a positioning reference signal, and the first request information comprises at least one of: The measurement period or measurement interval of the positioning reference signal; The number of measurements of the positioning reference signal.

31. The apparatus of claim 28 or 29, wherein, The request information is used to request the terminal to measure a positioning reference signal when a first event is met, and the first request information comprises at least one of: The first event; Monitoring time information, wherein the monitoring time information is used to indicate the time of monitoring the first event.

32. The apparatus of claim 28, 30 or 31, wherein, Further comprise a receiving module, configured to receive a failure cause value, wherein the failure cause value is used to indicate that the terminal cannot measure a positioning reference signal based on the first request information; or the terminal measures a positioning reference signal based on the first request information but cannot acquire first data.

33. A terminal, characterized by Comprise a processor and a memory, wherein the memory stores programs or instructions executable on the processor, and the programs or instructions are executed by the processor to implement the steps of the method according to any one of claims 1 to 12.

34. A network-side device, comprising: Comprise a processor and a memory, wherein the memory stores programs or instructions executable on the processor, and the programs or instructions are executed by the processor to implement the steps of the method according to any one of claims 13 to 22.

35. A readable storage medium characterized by, The program or instruction is stored on the readable storage medium, and when executed by the processor, implements the method of any one of claims 1 to 12, or implements the steps of the method of any one of claims 13 to 22.

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