Measurement configuration method, device, chip, and storage medium

Abstract

The present application relates to the technical field of communications, and discloses a measurement configuration method, a device, a chip, and a storage medium. The method comprises: a network device sends first information, the first information being related to a configuration of first measurement, and a measurement result obtained by means of the first measurement being used for network side model monitoring (810). Embodiments of the present application provide a measurement reporting solution for network side model monitoring. A terminal device can determine a related configuration of first measurement on the basis of first information, and perform measurement and reporting on the basis of the related configuration of the first measurement, so that a network device can compare a measurement result obtained by means of the first measurement with a prediction result of a network side model, so as to perform network side model monitoring. For example, performance (e.g., accuracy of the prediction result) of the network side model is determined on the basis of a comparison result, thereby facilitating improvement of the reliability of the network side model.

Description

Measurement configuration methods, equipment, chips and storage media Technical Field

[0001] This application relates to the field of communication technology, and in particular to a measurement configuration method, device, chip, and storage medium. Background Technology

[0002] With the development of communication technology, AI (Artificial Intelligence) / ML (Machine Learning) models have been applied to RRM (Radio Resource Management) measurement and prediction scenarios.

[0003] In the above scenario, for downlink measurement prediction, the AI / ML model used for prediction is deployed on the network device side. The terminal device measures the downlink signal sent by the network device, obtains the measured results, and reports the measured results to the network device. The network device uses the AI / ML model to make predictions based on the measured results, and obtains the predicted results.

[0004] To ensure the performance of AI / ML models on the network side, model monitoring is necessary. However, further research is needed on how to monitor network-side models. Summary of the Invention

[0005] This application provides a measurement configuration method, device, chip, and storage medium. The technical solutions provided by this application are as follows.

[0006] According to one aspect of the embodiments of this application, a measurement configuration method is provided, the method being executed by a terminal device, the method comprising:

[0007] Receive first information, which is related to the configuration of the first measurement, and the measurement result obtained from the first measurement is used for network-side model monitoring.

[0008] According to one aspect of the embodiments of this application, a measurement configuration method is provided, the method being executed by a network device, the method comprising:

[0009] Send a first message, which is related to the configuration of the first measurement, and the measurement result obtained from the first measurement is used for network-side model monitoring.

[0010] According to one aspect of the embodiments of this application, a terminal device is provided, the terminal device comprising:

[0011] The receiving module is used to receive first information, which is related to the configuration of the first measurement, and the measurement result obtained from the first measurement is used for network-side model monitoring.

[0012] According to one aspect of the embodiments of this application, a network device is provided, the network device comprising:

[0013] The sending module is used to send first information, which is related to the configuration of the first measurement, and the measurement result obtained from the first measurement is used for network-side model monitoring.

[0014] According to one aspect of the embodiments of this application, a terminal device is provided, the terminal device including a processor and a memory, the memory storing a computer program, the processor executing the computer program to cause the terminal device to perform the above-described measurement configuration method.

[0015] According to one aspect of the present application, a network device is provided, the network device including a processor and a memory, the memory storing a computer program, the processor executing the computer program to cause the network device to perform a measurement configuration method.

[0016] According to one aspect of the embodiments of this application, a computer-readable storage medium is provided, the storage medium storing a computer program, the computer program being executed by a processor to implement the above-described measurement configuration method on the terminal device side, or to implement the above-described measurement configuration method on the network device side.

[0017] According to one aspect of the embodiments of this application, a chip is provided, the chip including programmable logic circuits and / or program instructions, which, when the chip is running, are used to implement the above-described measurement configuration method on the terminal device side or the above-described measurement configuration method on the network device side.

[0018] According to one aspect of the embodiments of this application, a computer program product is provided, the computer program product including computer instructions stored in a computer-readable storage medium, wherein a processor reads from the computer-readable storage medium and executes the computer instructions to implement the above-described measurement configuration method on the terminal device side or the above-described measurement configuration method on the network device side.

[0019] The technical solutions provided in this application embodiment may have the following beneficial effects:

[0020] A measurement reporting scheme for network-side model monitoring is provided. Based on first information, the terminal device can determine the relevant configuration of the first measurement, and then perform measurement and reporting based on the relevant configuration of the first measurement. This allows the network device to compare the measurement results obtained from the first measurement with the prediction results of the network-side model, thereby monitoring the network-side model. For example, the performance of the network-side model (such as the accuracy of the prediction results) can be determined based on the comparison results, which helps to improve the reliability of the network-side model. Attached Figure Description

[0021] Figure 1 is a schematic diagram of a network architecture provided in one embodiment of this application;

[0022] Figure 2 is a schematic diagram of a time-domain prediction scenario provided in an embodiment of this application;

[0023] Figure 3 is a schematic diagram of a time-domain prediction scenario provided by another embodiment of this application;

[0024] Figure 4 is a schematic diagram of a spatial prediction scenario provided by an embodiment of this application;

[0025] Figure 5 is a schematic diagram of a frequency domain prediction scenario provided in an embodiment of this application;

[0026] Figure 6 is a schematic diagram of the functional framework of an AI / ML model provided in an embodiment of this application;

[0027] Figure 7 is a schematic diagram of a measurement reporting process provided in one embodiment of this application;

[0028] Figure 8 is a flowchart of a measurement configuration method provided in an embodiment of this application;

[0029] Figure 9 is a block diagram of a terminal device provided in an embodiment of this application;

[0030] Figure 10 is a block diagram of a network device provided in an embodiment of this application;

[0031] Figure 11 is a schematic diagram of the structure of a terminal device provided in an embodiment of this application;

[0032] Figure 12 is a schematic diagram of the structure of a network device provided in one embodiment of this application. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0034] The network architecture and business scenarios described in the embodiments of this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided in the embodiments of this application. As those skilled in the art will know, with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0035] The technical solutions of this application embodiment can be applied to various communication systems, such as: Global System for Mobile Communication (GSM) system, Code Division Multiple Access (CDMA) system, Wideband Code Division Multiple Access (WCDMA) system, General Packet Radio Service (GPRS), Long Term Evolution (LTE) system, Advanced Long Term Evolution (LTE-A) system, New Radio (NR) system, evolution of NR system, LTE-based access to unlicensed spectrum (LTE-U) system, NR-based access to unlicensed spectrum (NR-U) system, Non-Terrestrial Networks (NTN) system, Universal Mobile Telecommunication System (UMTS), Wireless Local Area Networks (WLAN), and Wireless Fidelity (WF). Fidelity (WiFi), 5th-Generation (5G) systems, B5G (Beyound 5G) systems, 6th-Generation (6G) systems, or other communication systems.

[0036] Traditional communication systems typically 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 also, 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. The embodiments of this application can also be applied to these communication systems.

[0037] The communication system in this application embodiment can be applied to carrier aggregation (CA) scenarios, dual connectivity (DC) scenarios, and standalone (SA) network deployment scenarios.

[0038] The communication system in this application embodiment can be applied to unlicensed spectrum, wherein unlicensed spectrum can also be considered as shared spectrum; or, the communication system in this application embodiment can also be applied to licensed spectrum, wherein licensed spectrum can also be considered as non-shared spectrum.

[0039] The embodiments of this application can be applied to both non-terrestrial networks (NTN) and terrestrial networks (TN). NTN typically uses satellite communication to provide communication services to terrestrial users. Currently, NTN systems include NR-NTN and IoT-NTN systems, and other NTN systems may be included in the future.

[0040] Please refer to Figure 1, which shows a schematic diagram of a network architecture 100 provided in one embodiment of this application. The network architecture 100 may include: a terminal device 10, an access network device 20, and a core network element 30.

[0041] Terminal device 10 can refer to UE (User Equipment), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile device, wireless communication device, user agent, or user equipment. In some embodiments, terminal device 10 can also be a cellular phone, cordless phone, SIP (Session Initiation Protocol) phone, WLL (Wireless Local Loop) station, PDA (Personal Digital Assistant), handheld device with wireless communication capabilities, computing device or other processing device connected to a wireless modem, vehicle-mounted device, wearable device, terminal device in 5GS (5th Generation System), or terminal device in the future evolved PLMN (Public Land Mobile Network), etc., and this application embodiment is not limited to these. For ease of description, the devices mentioned above are collectively referred to as terminal devices. The number of terminal devices 10 is usually multiple, and one or more terminal devices 10 can be distributed within the cell managed by each access network device 20. Terminal equipment can also be simply referred to as terminal or UE, the meaning of which can be understood by those skilled in the art.

[0042] Access network device 20 is a device deployed in an access network to provide wireless communication functionality to terminal device 10. Access network device 20 may include various forms of macro base stations, micro base stations, relay stations, access points, etc. In systems employing different wireless access technologies, the name of the device with access network device functionality may differ; for example, in a 5G NR system, it is called gNodeB or gNB. As communication technologies evolve, the name "access network device" may change. For ease of description, in this embodiment, the aforementioned devices providing wireless communication functionality to terminal device 10 are collectively referred to as access network devices. In some embodiments, a communication relationship can be established between terminal device 10 and core network element 30 through access network device 20. For example, in an LTE (Long Term Evolution) system, access network device 20 may be one or more eNodeBs in an EUTRAN (Evolved Universal Terrestrial Radio Access Network) or EUTRAN; in a 5G NR system, access network device 20 may be one or more gNBs in a RAN (Radio Access Network). In the embodiments of this application, unless otherwise specified, the term "network device" refers to access network device 20, such as a base station.

[0043] Core network element 30 is a network element deployed in the core network. Its main functions are to provide user connectivity, manage users, and bear services, serving as an interface to external networks. For example, core network elements in a 5G NR system may include AMF (Access and Mobility Management Function) entities, UPF (User Plane Function) entities, and SMF (Session Management Function) entities.

[0044] In some embodiments, the access network device 20 and the core network element 30 communicate with each other via some air interface technology, such as the NG interface in a 5G NR system. The access network device 20 and the terminal device 10 communicate with each other via some air interface technology, such as the Uu interface.

[0045] The "5G NR system" in this application embodiment can also be referred to as a 5G system or an NR system, but those skilled in the art will understand its meaning. The technical solutions described in this application embodiment can be applied to LTE systems, 5G NR systems, and subsequent evolution systems of 5G NR systems (such as B5G (Beyond 5G, a fifth-generation mobile communication technology) systems, 6G systems (6th Generation System, a sixth-generation mobile communication system)), and other communication systems such as NB-IoT (Narrow Band Internet of Things) systems. This application does not limit these applications.

[0046] In this embodiment, the network device can provide services to a cell. The terminal device communicates with the network device through the transmission resources (e.g., frequency domain resources, or spectrum resources) on the carrier used by the cell. The cell can be the cell corresponding to the network device (e.g., a base station). The cell can belong to a macro base station or to a base station corresponding to a small cell. The small cell can include: metro cell, micro cell, pico cell, femto cell, etc. These small cells have the characteristics of small coverage area and low transmission power, and are suitable for providing high-speed data transmission services.

[0047] The relevant technologies involved in this application are described below. These related technologies are optional solutions and can be arbitrarily combined with the technical solutions of the embodiments of this application, all of which fall within the protection scope of the embodiments of this application. The embodiments of this application include at least some of the following contents.

[0048] 1. AI / ML models applied to RRM measurement and prediction scenarios

[0049] Four high-priority research scenarios were defined for RRM measurement prediction.

[0050] Scenario 1 (Time-Domain Prediction Scenario): Predicting measurement results for a future period using historical measurement results. As shown in Figure 2, taking downstream measurement prediction as an example, the terminal device collects actual measurement results within the time-domain unit indicated by the diagonal fill; the network device uses an AI / ML model to obtain prediction results based on the aforementioned actual measurement results within the time-domain unit indicated by the white fill.

[0051] The second scenario (temporal domain prediction scenario): interpolation prediction is performed using partial measurement results. As shown in Figure 3, taking the downstream measurement prediction as an example, the terminal device collects the measured results in the temporal domain unit indicated by the diagonal fill; in the temporal domain unit indicated by the white fill, the network device uses an AI / ML model to obtain the prediction result based on the above measured results.

[0052] The third scenario (spatial prediction scenario): Predicting the measurement values ​​of the remaining unmeasured beams using the measurement results of some beams. As shown in Figure 4, taking downlink measurement prediction as an example, the circles filled with diagonal lines represent the beams measured by the terminal device, and the circles filled with white represent the beams predicted by the network device. The network device uses an AI / ML model based on the measured results of the aforementioned beams to obtain the predicted beam results.

[0053] The fourth scenario (frequency domain prediction scenario): using the measurement value of a certain frequency point to predict the measurement value of other frequencies. As shown in Figure 5, the AI / ML model uses the measurement results of the frequency point (cell A) represented by the diagonally filled part to predict the signal coverage of the frequency point (cell B) represented by the white filled part.

[0054] For these high-priority scenarios, each scenario can be further subdivided into the following three sub-scenarios based on the input and output of the AI / ML model.

[0055] Sub-scenario 1: The model's input and output are both L1 data.

[0056] Sub-scenario 2: The model's input and output are both L3 data.

[0057] Sub-scenario 3: The model's input is L1 data, and its output is L3 data.

[0058] L1 represents the physical layer. L3 represents the network layer or control plane layer, including the RRC (Radio Resource Control) layer and the NAS (Non-Access Stratum) layer.

[0059] 2. AI / ML Functional Framework

[0060] Figure 6 illustrates the functional framework of an AI / ML model. After training and deployment, model inference can be performed. Model inference involves obtaining the model's output after receiving specific inputs; this output is typically a prediction. The AI / ML model performing inference is periodically monitored and managed based on the monitoring results. Model management includes activating the model or switching to a better-performing model when its performance is poor or unsuitable.

[0061] 3. Measurement reporting (definitions of beam-level and cell-level measurements, and the relationship between L1 and L3 measurements)

[0062] Section 38.331 5.5.3 of the 3GPP (3rd Generation Partnership Project) specification describes how terminal equipment performs same-frequency or different-frequency measurements, and how it proceeds from L1 beam-based measurement sampling to determining measurement events based on network configuration parameters. This can be illustrated using the diagram in section 38.300 9.2.4, as shown in Figure 7. Several reference points in Figure 7 are explained below.

[0063] Reference point A: This is the physical layer measurement sampling step performed by the terminal equipment, according to the granularity of the beam.

[0064] Reference point A1: The terminal equipment performs L1 filtering on the measured beam measurement results. Generally, the protocol specifies the length of the measurement period under a specific RRC configuration. The measurement period stipulates that the terminal equipment must perform at least one sampling, and the beam measurement results after L1 filtering must meet the performance requirements specified in 3GPP specification 38.133. The specific number of samplings by the terminal equipment within one measurement period at reference point A is specified. In the test case, 4 to 5 oversampling operations are generally used.

[0065] Reference point B: The beam measurement results obtained from reference point A1 within a certain cell are merged to synthesize the L1 cell-level measurement results.

[0066] Reference point C: The L1 cell-level measurement results of a certain cell are filtered through L3 in sequence to obtain the L3 cell-level measurement results.

[0067] Reference point D: Measurement results from the serving cell and / or neighboring cells are used to determine whether a specific measurement event is valid based on certain decision conditions (configured by the network). For example, whether the measurement result of a neighboring cell is higher than the measurement result of the primary cell's PCell (PCell) by an offset value (i.e., event A3), etc.

[0068] Reference point E: Based on the filtered measurement value, determine whether a measurement event is triggered (such as event A3: the neighboring cell signal is better than the serving cell by more than the offset), and complete the measurement event evaluation.

[0069] Reference point F: Encapsulates the measurement results that meet the conditions (such as neighbor cell signal quality, target cell information) into RRC signaling (i.e., Measurement Report) and reports it to the network.

[0070] 4. Existing measurement configuration and reporting content

[0071] The existing measurement configuration mainly includes the following information: measurement target list, reporting configuration list, measurement ID list, quality configuration (including filter coefficient configuration and reference signal configuration), measurement gap configuration, etc.

[0072] The measured content is reported through the MeasurementReport message, which mainly contains the MeasResults information element. Its specific content is as follows: The reported content includes the cell physical ID, reference signal type, and cell / beam level results. The above content distinguishes whether it comes from the serving cell, the best neighbor cell, or all neighbor cells.

[0073] For network-side AI / ML models, network devices make predictions based on partial measurement data reported by terminal devices, as is the case in the four high-priority scenarios mentioned above. To monitor the model, the predicted data needs to be compared with the actual measurement data. During model inference, the actual measurement data used for this comparison is not transmitted to the network device over the air interface; therefore, a specific mechanism needs to be established for monitoring.

[0074] For example, in a spatial scenario, the terminal device only measures the RSRP (Reference Signal Receiving Power) values ​​of a given set of 16 beams (measured beams) and reports them to the network for model inference to obtain the RSRP values ​​of the remaining 16 undetected beams (predicted beams). Model monitoring is not necessarily continuous; it can be performed at intervals (e.g., every 10 seconds). During model monitoring, the terminal device measures the RSRP of the predicted beams (actual measurement data). It's important to note that the inference results of the AI / ML model on the network side, i.e., the prediction results, reside on the network side, while the actual measurement data resides on the terminal device side. Since the data is distributed in different locations, comparison requires cooperation between the network side and the terminal device side.

[0075] Therefore, for network-side AI / ML models, to monitor model performance, network devices need to inform terminal devices which actual measurement data to report, and then compare this data with the model's inference results. Current protocols do not include a data transmission mechanism for monitoring network-side AI / ML models; this application aims to provide a solution to this problem.

[0076] Please refer to Figure 8, which shows a flowchart of a measurement configuration method provided in one embodiment of this application. This method can be applied to the network architecture shown in Figure 1. The method may include the following step 810.

[0077] Step 810: The network device sends first information, which is related to the configuration of the first measurement. The measurement result obtained from the first measurement is used for network-side model monitoring.

[0078] Accordingly, the terminal device receives the first information.

[0079] The first measurement refers to wireless measurement, specifically downlink wireless measurement, which is the measurement of the reception quality of downlink signals transmitted by network equipment by the terminal device. Optionally, the first measurement can be beam-level and / or cell-level measurement. Optionally, the first measurement can be RRM measurement, RLM (Radio Link Monitoring) measurement, BFD (Beam Failure Detection) measurement, etc.

[0080] The measurement result obtained from the first measurement refers to the measurement result obtained by measuring the reception quality of the downlink signal transmitted by the network device. For example, the downlink signal includes, but is not limited to, at least one of the following: SSB (Synchronization Signal Block), CSI-RS (Channel State Information Reference Signal), and DMRS (Demodulation Reference Signal). The measurement result includes, but is not limited to, at least one of the following: RSRP, RSRQ (Reference Signal Received Quality), SINR (Signal to Interference plus Noise Ratio), and RSSI (Received Signal Strength Indicator).

[0081] The network-side model refers to the AI / ML model deployed on the network device side. This AI / ML model is used for wireless measurement prediction, such as to implement wireless measurement prediction in one or more of the first, second, third, and fourth scenarios mentioned above. It should be understood that the same AI / ML model can be used for different scenarios within the first, second, third, and fourth scenarios, or independent AI / ML models can be used. For example, the first and second scenarios can share the same AI / ML model, or they can use independent AI / ML models.

[0082] Furthermore, each of the four scenarios (Scene 1, Scene 2, Scene 3, and Scene 4) can be further divided into sub-scenario 1, Sub-scenario 2, and Sub-scenario 3. Different sub-scenarios within the same scenario can share the same AI / ML model or use independent AI / ML models. For example, the three sub-scenarios within Scene 1 can share the same AI / ML model, or each of the three sub-scenarios within Scene 1 can use an independent AI / ML model.

[0083] The measurement results obtained from the first measurement are used for network-side model monitoring. This means that the network device monitors the AI / ML model deployed on its side for wireless measurement prediction based on the measurement results obtained from the first measurement. This includes monitoring the performance of the AI / ML model (such as monitoring the accuracy of the prediction results output by the model) and managing the model based on the monitoring results. Model management includes activating the model or switching to a better-performing model when the model's performance is poor or unsuitable.

[0084] In this embodiment, since the AI / ML model used for wireless measurement prediction is deployed on the network device side, the network device needs to configure a first measurement for the terminal device in order to obtain the real measurement data required for model monitoring. This allows the terminal device to perform the first measurement and report the measurement result to the network device. The network device can then compare the measurement result with the prediction result of the network-side AI / ML model to perform model monitoring, such as determining the performance of the network-side AI / ML model (e.g., the accuracy of the prediction result) based on the comparison result. The network device configures the first measurement for the terminal device by sending first information to the terminal device.

[0085] In some embodiments, the first information is used to determine the measurement configuration of the first measurement and / or to determine the reporting configuration of the measurement results. The measurement configuration of the first measurement is used by the terminal device to determine how to perform the first measurement, such as which / which downlink signals to measure, what kind of measurement results to obtain, and when to initiate the measurement. The reporting configuration of the measurement results is used by the terminal device to determine how to report the measurement results of the first measurement to the network device, such as what kind of measurement results to report, the type of data to report, and the method of reporting the measurement results.

[0086] Optionally, if the first information is only used to determine the measurement configuration of the first measurement, the reporting configuration of the measurement result can be predefined by the protocol or instructed to the terminal device by the network device through other information or methods; this application does not limit this. Alternatively, there is a mapping relationship between the measurement configuration of the first measurement and the reporting configuration of the measurement result. Based on the measurement configuration of the first measurement and the above mapping relationship, the terminal device can determine the reporting configuration of the measurement result. The above mapping relationship can be predefined by the protocol, or configured or indicated by the network device; this application does not limit this.

[0087] Optionally, if the first information is only used to determine the reporting configuration of the measurement results, the measurement configuration of the first measurement can be predefined by the protocol or instructed to the terminal device by the network device through other information or methods; this application does not limit this. Alternatively, there is a mapping relationship between the measurement configuration of the first measurement and the reporting configuration of the measurement results. Based on the reporting configuration of the measurement results of the first measurement and in conjunction with the above mapping relationship, the terminal device can determine the measurement configuration of the first measurement. The above mapping relationship can be predefined by the protocol, or configured or indicated by the network device; this application does not limit this.

[0088] Optionally, the first information is used to determine both the measurement configuration for the first measurement and the reporting configuration for the measurement results.

[0089] In some embodiments, the first information includes: measurement configuration information and / or reporting configuration information; wherein the measurement configuration information is used to determine the measurement configuration of the first measurement, and the reporting configuration information is used to determine the reporting configuration of the measurement result.

[0090] When the first information is used to determine the measurement configuration of the first measurement, the first information may include measurement configuration information, and the terminal device can determine the measurement configuration of the first measurement based on the measurement configuration information.

[0091] When the first information is used to determine the reporting configuration of the measurement results, the first information may include reporting configuration information, and the terminal device can determine the reporting configuration of the measurement results based on the reporting configuration information.

[0092] When the first information is used to determine the measurement configuration of the first measurement and the reporting configuration of the measurement result, the first information may include measurement configuration information and reporting configuration information. The terminal device can determine the measurement configuration of the first measurement based on the measurement configuration information and the reporting configuration of the measurement result based on the reporting configuration information.

[0093] In some embodiments, the measurement configuration of the first measurement and the reporting configuration of the measurement result are configured independently. For example, the measurement configuration of the first measurement is configured through measurement configuration information, and the reporting configuration of the measurement result is configured through reporting configuration information. The measurement configuration information and the reporting configuration information are two independent pieces of information.

[0094] In some embodiments, the reporting configuration of the measurement results may be included in the measurement configuration of the first measurement. For example, the measurement configuration of the first measurement may be used not only for the terminal device to determine how to perform the first measurement, but also for the terminal device to determine how to report the measurement results of the first measurement to the network device. In this case, only the measurement configuration information is needed, and the reporting configuration information is not required. Alternatively, it can be understood that the reporting configuration information is included in the measurement configuration information.

[0095] Based on the first information sent by the network device, the terminal device can determine the measurement configuration for the first measurement and / or the reporting configuration for the measurement results, thereby performing measurements and reporting according to the requirements of the network device and better meeting the needs of network-side model monitoring. Furthermore, the measurement configuration for the first measurement and the reporting configuration for the measurement results can be configured independently, offering greater flexibility.

[0096] In some embodiments, the measurement results are compared with the prediction results of the network-side model to monitor the network-side model based on the comparison results. The terminal device sends the measurement results of the first measurement (also called the actual measurement results) to the network device. After receiving the measurement results of the first measurement, the network device compares them with the prediction results output by the network device based on the network-side model (also called the predicted measurement results). Based on the comparison results, the network device can evaluate the performance of the network-side model, thereby achieving model monitoring. Furthermore, if the performance of the network-side model is poor, the network device can switch the network-side model, update the parameters of the network-side model, or perform other model management operations, which are not limited in this application.

[0097] It should be noted that for network-side models, the specific application scenarios of the model can be transparent to the terminal devices. That is, the terminal devices only need to know when to report measurements and the data type of the reported measurements. The terminal devices do not need to concern themselves with how the network devices use the measurement results reported by them for model monitoring, nor do they need to concern themselves with how the network devices generate the configuration related to the first measurement.

[0098] This application provides a measurement reporting scheme for network-side model monitoring. Based on first information, the terminal device can determine the relevant configuration of the first measurement, and then perform measurement and reporting based on the relevant configuration of the first measurement. This allows the network device to compare the measurement results obtained from the first measurement with the prediction results of the network-side model, thereby monitoring the network-side model. For example, the performance of the network-side model (such as the accuracy of the prediction results) can be determined based on the comparison results, which helps to improve the reliability of the network-side model.

[0099] The measurement configuration for the first measurement will be described below.

[0100] In some embodiments, the measurement configuration of the first measurement includes one or more of the following:

[0101] (1) Identification information of the first measurement;

[0102] (2) A partial measurement configuration of the first measurement, wherein the partial measurement configuration of the first measurement is a part of the complete measurement configuration of the first measurement, and the partial measurement configuration of the first measurement is one or more measurement configurations that are different from the measurement configuration of the second measurement;

[0103] (3) Complete measurement configuration for the first measurement;

[0104] (4) The timer corresponding to the first measurement;

[0105] (5) The activation conditions corresponding to the first measurement.

[0106] In some embodiments, the identification information of the first measurement is used to determine the first measurement. For example, different measurements have different identification information, and different measurements can be distinguished and indicated based on this identification information. Optionally, the identification information of the first measurement may be the measurement ID (Identifier) ​​of the first measurement, which can be understood as the identification information of the measurement or measurement configuration itself. Optionally, the identification information of the first measurement may be the measurement target ID of the first measurement, which can be understood as the identification information of the measurement target. The measurement target refers to the object being measured, such as which downlink signals(s) are being measured, then these downlink signals are the measurement target. Optionally, based on the identification information of the first measurement, the terminal device can obtain or determine the complete measurement configuration of the first measurement and perform the first measurement accordingly.

[0107] In some embodiments, the complete measurement configuration of the first measurement refers to all the measurement configurations of the first measurement, such as including all configuration information required to perform the first measurement. The terminal device can perform the first measurement based on this complete measurement configuration.

[0108] In some embodiments, the partial measurement configuration of the first measurement refers to the measurement configuration of that portion of the first measurement, such as including partial configuration information required to implement the first measurement. If the terminal device cannot perform the first measurement based solely on the partial measurement configuration of the first measurement, it needs to determine the complete measurement configuration of the first measurement in conjunction with other information before it can perform the first measurement. Optionally, the partial measurement configuration of the first measurement is one or more measurement configurations that are different from the measurement configuration of the second measurement. In this way, the terminal device can determine the complete measurement configuration of the first measurement based on the measurement configuration of the second measurement and the partial measurement configuration of the first measurement. Optionally, the second measurement is a measurement configured before the first measurement. Exemplarily, the second measurement is a measurement that has been configured for the terminal device and / or has been performed by the terminal device, and the terminal device is aware of the measurement configuration of the second measurement. Optionally, the second measurement can be a measurement for network-side model monitoring or a measurement for network-side model inference prediction; this application does not limit this.

[0109] In some embodiments, the timer corresponding to the first measurement is used to determine whether the measurement configuration of the first measurement is valid. Optionally, the measurement configuration of the first measurement is valid before the timer expires or times out; and / or, the measurement configuration of the first measurement is invalid after the timer expires or times out. The measurement configuration of the first measurement may include at least one of the duration, start time, and start condition of the timer corresponding to the first measurement. It should be understood that the timer corresponding to the first measurement is an optional configuration. If the timer corresponding to the first measurement is not configured, the terminal device will start the first measurement by default after receiving the first information, or start the first measurement based on the start condition corresponding to the first measurement.

[0110] In some embodiments, the enabling condition corresponding to the first measurement refers to the condition for starting the execution of the first measurement. Optionally, if the enabling condition is met, the terminal device executes the first measurement based on the measurement configuration of the first measurement. If the enabling condition is not met, the terminal device does not execute the first measurement.

[0111] In some embodiments, the activation condition includes at least one of the following: meeting the entry condition for the terminal device to perform cell handover; or the signal quality of the serving cell of the terminal device being less than a first threshold value. The first threshold value can be configured by the network device or predefined by the protocol. Optionally, the entry condition for the terminal device to perform cell handover refers to the terminal device initiating measurements of the serving cell and / or neighboring cells, and deciding whether to perform cell handover based on the measurement results. Optionally, the signal quality includes RSRP (Reference Signal Receiving Power) and / or RSRQ (Reference Signal Receiving Quality). It should be understood that the activation condition corresponding to the first measurement is optional. If the activation condition corresponding to the first measurement is not configured, the terminal device will default to initiating the first measurement after receiving the first information, or initiate the first measurement based on the timer corresponding to the first measurement.

[0112] In some embodiments, when the measurement configuration of the first measurement includes a timer corresponding to the first measurement and an enable condition corresponding to the first measurement, the terminal device starts the timer when the enable condition is met and performs the first measurement based on the measurement configuration of the first measurement. After the timer expires or times out, the terminal device stops performing the first measurement.

[0113] In some embodiments, the measurement configuration for the first measurement further includes a configuration for reporting the measurement results of the first measurement. For details regarding the configuration for reporting the measurement results of the first measurement, please refer to the description below.

[0114] The above method enables the measurement configuration for the first measurement, allowing the terminal device to perform the first measurement accordingly and meet the requirements of the network device.

[0115] The following section describes the configuration for reporting the measurement results of the first measurement.

[0116] In some embodiments, the configuration for reporting measurement results includes one or more of the following information:

[0117] (1) Identification information of the first measurement;

[0118] (2) Data type to be reported;

[0119] (3) Reporting method;

[0120] (4) Partial reporting instruction information: Partial reporting instruction information is used to instruct on part of the measurement results in the reported measurement results.

[0121] In some embodiments, identification information for the first measurement is used to determine the first measurement. A description of this identification information can be found in the embodiments described above, and will not be repeated here.

[0122] Optionally, the measurement configuration of the first measurement and the reporting configuration of the measurement result are associated, and the association can be achieved through the identification information of the first measurement. For example, if the measurement configuration of the first measurement includes the identification information of the first measurement, and the reporting configuration of the measurement result includes the identification information of the first measurement, it indicates that the reporting configuration of the measurement result is configured for the first measurement and is used to report the measurement result of the first measurement. Alternatively, the reporting configuration of the measurement result of the first measurement includes the identification information of the first measurement, and the identification information of the first measurement is associated with the measurement configuration of the first measurement. The association between the identification information of the first measurement and the measurement configuration of the first measurement can be predefined by network device configuration or protocol. For example, the network device configuration or protocol predefined at least one set of association relationships between the identification information of measurements and the measurement configuration. Based on the fact that the reporting configuration of the measurement result of the first measurement includes the identification information of the first measurement, and combined with the above association relationship, the terminal device can determine the measurement configuration of the first measurement, thus eliminating the need to indicate the measurement configuration of the first measurement in the first information. Of course, in some other possible implementations, the reporting configuration of the measurement result can also be directly included in the measurement configuration of the first measurement, thereby achieving the association between the two.

[0123] In some embodiments, the reported data type refers to the data type of the measurement results reported by the terminal device to the network device. Optionally, the reported data type can be data from any one or more reference points A, A1, B, C, E, and F mentioned above. Optionally, the reported data type is L1 data or L3 data.

[0124] Optionally, the reported data type can be explicitly indicated, or implicitly indicated. For example, explicitly indicating the reported data type can use a bitmap mapping. For instance, 001 represents data for reference point A, and 010 represents data for reference point A1 (i.e., L1 filtered beam-level results). For example, implicitly indicating the reported data type can be determined based on other information contained in the measurement configuration of the first measurement and / or the reporting configuration of the measurement results. For example, when the measurement configuration of the first measurement and / or the reporting configuration of the measurement results includes consolidation-related parameters, the reported data type is data for reference point B; when the measurement configuration of the first measurement and / or the reporting configuration of the measurement results includes both consolidation and L3 filtering-related parameters, the reported data type is data for reference point C.

[0125] Optionally, the reported data type can also be included in a partial or complete measurement configuration within the measurement configuration of the first measurement.

[0126] Optionally, the reporting method can be real-time reporting or stored reporting. Real-time reporting means that the terminal device immediately reports the measurement result of the first measurement to the network device after obtaining it. Stored reporting means that the terminal device temporarily stores the measurement result after obtaining it, and then reports it to the network device when the reporting timing / conditions are met. Optionally, real-time reporting and stored reporting can be explicitly indicated using 1 bit information.

[0127] Optionally, the stored report can be any of the following: timer-based reporting, condition-based reporting, or explicit indication-based reporting. Timer-based reporting refers to reporting when the timer expires. Condition-based reporting refers to reporting when set conditions are met. Explicit indication-based reporting refers to reporting upon receiving explicit indication information from the network device. Optionally, the explicit indication information can be used to indicate or determine the uplink transmission resources allocated by the network device to the terminal device for reporting measurement results. The stored report method can avoid occupying large amounts of uplink resources in a short period.

[0128] In some embodiments, partial reporting indication information is used to instruct the terminal device not to report all measurement results in the measurement configuration, but only a portion of the measurement results. For example, for spatial L1 beam-level RSRP reporting, only the five beams with the highest RSRP values ​​can be reported, instead of reporting the measurement results of all beams. This helps save the transmission resources required for reporting and reduces terminal complexity.

[0129] The above method enables the configuration for reporting measurement results, allowing terminal devices to report measurement results and meet the needs of network devices.

[0130] In some embodiments, the network-side model is applicable to at least one of the following scenarios: time-domain prediction scenario, spatial-domain prediction scenario, and frequency-domain prediction scenario.

[0131] A time-domain prediction scenario is a scenario in which the predicted measurement results of another set of time-domain units (including at least one time-domain unit) are obtained based on the actual measurement results of one set of time-domain units (including at least one time-domain unit). The two sets of time-domain units include at least one different time-domain unit.

[0132] The airspace prediction scenario is a scenario in which the predicted measurement results of another set of beams (including at least one beam) are obtained based on the actual measurement results of one set of beams (including at least one beam). The two sets of beams include at least one different beam.

[0133] A frequency domain prediction scenario is a scenario in which the predicted measurement results of another set of frequency domain cells (including at least one frequency domain cell) are obtained based on the actual measurement results of one set of frequency domain cells (including at least one frequency domain cell). The two sets of frequency domain cells include at least one different frequency domain cell.

[0134] In some embodiments, the network-side model is applicable to at least one of the following scenarios: a first scenario, a second scenario, a third scenario, and a fourth scenario. The first and second scenarios are both time-domain prediction scenarios. The third scenario is a spatial-domain prediction scenario. The fourth scenario is a frequency-domain prediction scenario.

[0135] The first scenario involves obtaining predicted measurement results for at least one second time-domain unit based on the actual measurement results of at least one first time-domain unit. The time-domain position of the at least one second time-domain unit is located after the time-domain position of the at least one first time-domain unit. For example, the network-side model outputs predicted measurement results for at least one second time-domain unit based on the actual measurement results of the at least one first time-domain unit. For instance, following the order of time-domain positions from front to back (which can also be understood as from early to late, or from small to large), the time-domain units are sequentially included as time-domain unit 1, time-domain unit 2, time-domain unit 3, time-domain unit 4, time-domain unit 5, time-domain unit 6, and so on. In one example, the network-side model obtains predicted measurement results for time-domain units 5 to 6 based on the actual measurement results of time-domain units 1 to 4; the network-side model obtains predicted measurement results for time-domain units 6 to 7 based on the actual measurement results of time-domain units 2 to 5; the network-side model obtains predicted measurement results for time-domain units 7 to 8 based on the actual measurement results of time-domain units 3 to 6, and so on. In another example, the network-side model obtains the predicted measurement results for time-domain units 4-6 based on the actual measurement results for time-domain units 1-3; the network-side model obtains the predicted measurement results for time-domain units 7-9 based on the actual measurement results for time-domain units 4-6; the network-side model obtains the predicted measurement results for time-domain units 10-12 based on the actual measurement results for time-domain units 7-9, and so on. Here, a time-domain unit refers to a unit for dividing time-domain resources. The unit of a time-domain unit can be a frame, subframe, time slot, symbol, second, millisecond, microsecond, etc., and this embodiment of the application does not limit this.

[0136] The second scenario involves obtaining a predicted measurement result for at least one fourth time-domain unit based on the actual measurement results of at least two third time-domain units. In this scenario, the time-domain positions of at least one fourth time-domain unit are alternated with the time-domain positions of at least two third time-domain units. The fourth and third time-domain units are distributed alternately, meaning the fourth time-domain unit is located between two adjacent third time-domain units. Optionally, if the number of fourth time-domain units is greater than one, the third time-domain units are also located between two adjacent fourth time-domain units. For example, the network-side model outputs a predicted measurement result for at least one fourth time-domain unit based on the actual measurement results of at least two third time-domain units. For instance, in order of time-domain position from front to back (which can also be understood as from early to late, or from small to large), the time-domain units are sequentially included as time-domain unit 1, time-domain unit 2, time-domain unit 3, time-domain unit 4, time-domain unit 5, time-domain unit 6, and so on. In one example, the network-side model obtains the predicted measurement results for time-domain units 2, 4, and 6 based on the actual measurement results of time-domain units 1, 3, and 5; the network-side model obtains the predicted measurement results for time-domain units 4, 6, and 8 based on the actual measurement results of time-domain units 3, 5, and 7; the network-side model obtains the predicted measurement results for time-domain units 6, 8, and 10 based on the actual measurement results of time-domain units 5, 7, and 9, and so on. In another example, the network-side model obtains the predicted measurement result for time-domain unit 2 based on the actual measurement results of time-domain units 1 and 3; the network-side model obtains the predicted measurement result for time-domain unit 4 based on the actual measurement results of time-domain units 3 and 5; the network-side model obtains the predicted measurement result for time-domain unit 6 based on the actual measurement results of time-domain units 5 and 7, and so on. Here, a time-domain unit refers to a unit for dividing time-domain resources. The unit of a time-domain unit can be a frame, subframe, time slot, symbol, second, millisecond, microsecond, etc., and this embodiment does not limit this.

[0137] The third scenario involves obtaining predicted measurement results for at least one second beam based on actual measurement results of at least one first beam, where the first and second beams are different beams. For example, the network-side model outputs predicted measurement results for at least one second beam based on actual measurement results of at least one first beam. For example, different beams are represented by different indices. In one example, the network-side model obtains predicted measurement results for beams 3 and 4 based on actual measurement results of beams 1 and 2. In another example, the network-side model obtains predicted measurement results for beams 2 and 4 based on actual measurement results of beams 1, 3, and 5.

[0138] The fourth scenario involves obtaining predicted measurement results for at least one second frequency domain unit based on actual measurement results of at least one first frequency domain unit. The first and second frequency domain units are different frequency domain units. For example, the network-side model outputs predicted measurement results for at least one second frequency domain unit based on actual measurement results of at least one first frequency domain unit. For example, different frequency domain units are represented by different indices. In one example, the network-side model obtains predicted measurement results for frequency domain unit 2 based on actual measurement results of frequency domain unit 1. In another example, the network-side model obtains predicted measurement results for frequency domain units 2 and 4 based on actual measurement results of frequency domain units 1 and 3. Here, a frequency domain unit refers to a unit for dividing frequency domain resources. A frequency domain unit can be a frequency point, frequency point group, frequency band, frequency band group, subcarrier, subcarrier set, etc., which are not limited in this embodiment.

[0139] In addition, for any one of the first, second, third and fourth scenarios mentioned above, each scenario can be further subdivided into the following three sub-scenarios based on the input and output of the network-side model.

[0140] Sub-scenario 1: The model's input and output are both L1 data, meaning that both the actual measurement results and the predicted measurement results are L1 data.

[0141] Sub-scenario 2: The model's input and output are both L3 data, meaning that both the actual measurement results and the predicted measurement results are L3 data.

[0142] Sub-scenario 3: The model's input is L1 data and its output is L3 data, meaning the actual measurement results are L1 data and the predicted measurement results are L3 data.

[0143] Here, L1 represents the physical layer. L3 represents the network layer or control plane layer, including the RRC layer and the NAS layer.

[0144] The technical solutions provided in the embodiments of this application will be described below in conjunction with different scenarios. In the following examples, we will mainly introduce how a network device determines the above-mentioned measurement configuration and / or reporting configuration from the perspective of a network device.

[0145] Scenario 1 (Time-Domain Prediction Scenario)

[0146] In some embodiments, for time-domain prediction scenarios (including the first scenario and the second scenario), when the actual measurement result input to the network-side model is L1 data and the predicted measurement result output by the network-side model is L3 data (i.e., sub-scenario 3), the partial or complete measurement configuration of the first measurement is used to indicate that L3 data is measured, and / or, the data type of the reported measurement result is L3 data in the reporting configuration. By configuring the measurement and / or reporting of L3 data, the terminal device can measure and report the actual measurement result in L3 data form, thereby enabling the network device to compare the actual measurement result in L3 data form with the predicted measurement result in L3 data form to monitor the network-side model based on the comparison result. Through the above method, it can be ensured that the dimensions or forms of data comparison performed by the network device during the model monitoring phase are consistent.

[0147] In some embodiments, for the first scenario, if both the actual measurement result and the predicted measurement result are L1 data (i.e., sub-scenario 1), or if both the actual measurement result and the predicted measurement result are L3 data (i.e., sub-scenario 2), the first measurement is not configured. For sub-scenario 1 and sub-scenario 2 in the first scenario, since the model's input and output are both L1 data, or the model's input and output are both L3 data (i.e., the model's input and output values ​​are of the same type), the terminal device will report the actual measurement data corresponding to the time-domain unit predicted by the network device. Therefore, it is not necessary to additionally instruct the measurement-related configuration for network-side model monitoring during the monitoring period.

[0148] In some embodiments, for the first scenario, when the actual measurement result is L1 data and the predicted measurement result is L3 data (i.e., sub-scenario 3), the first measurement is configured. For sub-scenario 3 under the first scenario, that is, for the time-domain prediction scenario, where the model input is L1 data and the output is L3 data, since the terminal device reports L1 data for model inference prediction, while the actual measurement data required for model monitoring is L3 data, the network device needs to provide the terminal device with measurement-related configurations for network-side model monitoring. The network device sends first information to the terminal device; the description of the first information can be found above. Exemplarily, the first information configures the first measurement for network-side model monitoring. The measurement configuration of the first measurement may include the identification information of the first measurement and the timer corresponding to the first measurement; the reporting configuration of the measurement result of the first measurement includes the identification information of the first measurement, the reporting data type, and the reporting method, wherein the reporting data type is L3 data, and the reporting method is stored reporting. The first information explicitly instructs the terminal device to collect and report L3 data. The reporting may be non-real-time, that is, collected and stored locally before being reported. Optionally, the first information may include the collection period (i.e., the timer corresponding to the first measurement mentioned above), indicating the duration for which data collection is required.

[0149] Second scenario (temporal domain prediction scenario)

[0150] In some embodiments, for the second scenario, the first measurement is configured when both the actual measurement result and the predicted measurement result are L1 data (i.e., sub-scenario 1), or when both the actual measurement result and the predicted measurement result are L3 data (i.e., sub-scenario 2), or when both the actual measurement result is L1 data and the predicted measurement result is L3 data (i.e., sub-scenario 3).

[0151] For sub-scenarios 1 and 2 in the second scenario, although the input and output values ​​of the model are of the same type, unlike sub-scenarios 1 and 2 in the first scenario, in the second scenario, the terminal device does not report the actual measurement data corresponding to the time-domain units predicted by the network device. For example, based on the actual measurement data of several time-domain units with odd-numbered sequences (such as the 1st, 3rd, and 5th time-domain units), the network device uses an AI / ML model to predict the predicted measurement data of several time-domain units with even-numbered sequences (such as the 2nd, 4th, and 6th time-domain units). If no additional configuration is made for network-side model monitoring, the terminal device will not measure and report the actual measurement data of the time-domain units with even-numbered sequences (such as the 2nd, 4th, and 6th time-domain units). Therefore, for sub-scenarios 1 and 2 in the second scenario, additional measurement-related configurations for network-side model monitoring need to be indicated during the monitoring period. The network device sends the first information to the terminal device; for an explanation of the first information, please refer to the above. Optionally, the measurement configuration of the first measurement may include a portion of the measurement configuration of the first measurement, which is one or more measurement configurations that differ from the measurement configuration of the second measurement. The second measurement may be a measurement configured prior to the first measurement, used for network-side model inference and prediction. Furthermore, for sub-scenario 1 and sub-scenario 2 within the second scenario, the reported data types of the first and second measurements are consistent.

[0152] For sub-scenario 3 of the second scenario, namely the time-domain prediction scenario where the model input is L1 data and the output is L3 data, since the terminal device reports L1 data for model inference prediction, while the actual measurement data required for model monitoring is L3 data, the network device needs to provide the terminal device with measurement-related configurations for network-side model monitoring. The network device sends first information to the terminal device; a description of the first information can be found above. For example, the partial or complete measurement configuration of the first measurement is used to indicate the measurement of L3 data, and / or the reporting data type in the measurement result reporting configuration is L3 data, enabling the terminal device to measure and report actual measurement results in L3 data form. This allows the network device to compare the actual measurement results in L3 data form with the predicted measurement results in L3 data form, and monitor the network-side model based on the comparison results. Through the above method, it can be ensured that the dimensions or forms of data comparison performed by the network device during the model monitoring phase are consistent.

[0153] In some embodiments, for the second scenario, when the actual measurement result is L1 data and the predicted measurement result is L3 data (i.e., sub-scenario 3), the reporting priority of the actual measurement result in L3 data form is higher than the reporting priority of the actual measurement result in L1 data form; and / or, the actual measurement result in L3 data form is reported, and the actual measurement result in L1 data form is stored. In sub-scenario 3 of the second scenario, the terminal device needs to report both the actual measurement result in L1 data form and the actual measurement result in L3 data form, so that the network device can obtain the predicted measurement result in L3 data form based on the actual measurement result in L1 data form through the network-side model, and then compare the actual measurement result in L3 data form with the predicted measurement result in L3 data form to monitor the network-side model based on the comparison result. In this embodiment, it is proposed to prioritize the reporting of the actual measurement result in L3 data form, so that the network device can make mobility decisions for the terminal device based on the actual measurement result in L3 data form, and can avoid short-term large-scale uplink channel occupation caused by simultaneous reporting of both. For actual measurement results in L1 data format, they can be stored first and then reported later at an appropriate time for use in network-side model monitoring.

[0154] Optionally, in sub-scenario 3 of the second scenario, the reporting configuration of the measurement results of the first measurement includes a reporting method and / or a reporting data type, wherein the reporting method is real-time reporting and the reporting data type is L3 data. For sub-scenario 3, since the reported data used for model inference prediction is L1 data and the reported data used for model monitoring is L3 data, there is a situation where both L1 and L3 data are reported. If only L3 data is available, the terminal device can directly utilize the L3 data without using the predicted value. Therefore, L3 data can be reported first, while the L1 data used for model inference prediction is stored and reported later. That is, during the model monitoring phase, the terminal device makes mobility decisions based on the measured L3 data, not the predicted value. In other words, the terminal device obtains both L1 and L3 data, but is configured to report L3 data in real-time, while the L1 data is stored and reported later. Through this method, when measured values ​​are available, the L1 data used for prediction is not reported temporarily, which can reduce the short-term large-scale occupation of the uplink channel.

[0155] Scenario 3 (Airspace Prediction Scenario)

[0156] In some embodiments, for the third scenario, since beam-level measurement and prediction are required, the likelihood that both the actual measurement result and the predicted measurement result are L3 data is low, so sub-scenario 2 can be disregarded. For the third scenario, the first measurement is configured in either the case where both the actual measurement result and the predicted measurement result are L1 data (i.e., sub-scenario 1), or in the case where the actual measurement result is L1 data and the predicted measurement result is L3 data (i.e., sub-scenario 3).

[0157] In some embodiments, for the third scenario, the reporting configuration of the measurement results includes partial reporting indication information, which is used to indicate a portion of the measurement results in the reported measurement results.

[0158] In some embodiments, for the third scenario, the measurement result of the first measurement includes the actual measurement result of at least one second beam. When the reporting configuration of the measurement result of the first measurement includes partial reporting indication information, the terminal device reports the actual measurement result of a portion of the at least one second beam to the network device; wherein the partial reporting indication information is used to indicate a portion of the reported measurement result.

[0159] For example, in the third scenario, the network device needs to explicitly instruct the terminal device to perform measurements on all L1 beams. The first information indicates that the reported data type is L3 beam-level RSRP, the reporting method is real-time reporting, and there is partial reporting indication information, such as indicating the reporting of the RSRP values ​​of the three largest beams among those with RSRP greater than -100dBm. The first information also needs to configure L3 filtering parameters so that the terminal device can obtain L3 measurement results based on the L1 measurement results. By using the above method, only necessary data is reported, which helps to reduce the amount of data that needs to be reported.

[0160] Fourth scenario (frequency domain prediction scenario)

[0161] In some embodiments, for the fourth scenario, the first measurement is configured when both the actual measurement result and the predicted measurement result are L1 data (i.e., sub-scenario 1), or when both the actual measurement result and the predicted measurement result are L3 data (i.e., sub-scenario 2), or when both the actual measurement result is L1 data and the predicted measurement result is L3 data (i.e., sub-scenario 3).

[0162] In some embodiments, for the fourth scenario, the measurement configuration of the first measurement includes a measurement interval, which is used to limit the interval duration between measurement moments for different frequency domain units.

[0163] In some embodiments, for the fourth scenario, the first measurement is used to obtain the actual measurement results of at least one second frequency domain unit. The interval between the measurement time of the actual measurement result for at least one first frequency domain unit and the measurement time of the actual measurement result for at least one second frequency domain unit is less than a preset or configured measurement interval. The measurement interval can be configured by the network device or predefined by the protocol (i.e., preset). Optionally, the measurement interval is included in the measurement configuration of the first measurement.

[0164] For the fourth scenario, network devices need to configure a new MO (Measurement Object) (i.e., at least one second frequency domain unit mentioned above) to configure terminal devices for actual acquisition of predicted frequency bands. Simultaneously, the measurement gap mode needs to be clearly defined so that the time interval between the terminal device's actual measurement of the current frequency band and the predicted frequency band cannot be too large. That is, during the model monitoring phase, the interval between the actual measurement time of the terminal device for the first frequency domain unit and the actual measurement time for the second frequency domain unit should be less than the preset or configured measurement interval. Optionally, the measurement gap mode can be included in the measurement configuration, for example, indicating the maximum measurement interval time. This approach avoids excessively large time intervals between inferred and monitored measured values, which could lead to a decreased correlation between the two.

[0165] In the above method embodiments, the steps performed by the terminal device can be implemented separately as a measurement and configuration method on the terminal device side, and the steps performed by the network device can be implemented separately as a measurement and configuration method on the network device side.

[0166] Furthermore, the various embodiments of this application can be combined in any way to form new embodiments, all of which are within the protection scope of this application.

[0167] The following are embodiments of the device described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the embodiments of the device described in this application, please refer to the embodiments of the method described in this application.

[0168] Please refer to Figure 9, which shows a block diagram of a terminal device provided in one embodiment of this application. This terminal device has the function of performing the measurement configuration method described above on the terminal device side. As shown in Figure 9, the terminal device 900 may include a receiving module 910.

[0169] The receiving module 910 is used to receive first information, which is related to the configuration of the first measurement, and the measurement result obtained from the first measurement is used for network-side model monitoring.

[0170] In some embodiments, the first information is used to determine the measurement configuration of the first measurement, and / or to determine the reporting configuration of the measurement results.

[0171] In some embodiments, the first information includes: measurement configuration information and / or reporting configuration information; wherein the measurement configuration information is used to determine the measurement configuration of the first measurement, and the reporting configuration information is used to determine the reporting configuration of the measurement result.

[0172] In some embodiments, the measurement configuration of the first measurement includes one or more of the following: identification information of the first measurement; partial measurement configuration of the first measurement, wherein the partial measurement configuration is one or more measurement configurations that are different from the measurement configuration of the second measurement, wherein the second measurement is a measurement configured before the first measurement; complete measurement configuration of the first measurement; timer corresponding to the first measurement; and start condition corresponding to the first measurement.

[0173] In some embodiments, the measurement configuration of the first measurement is valid before the timer expires or times out; and / or, the measurement configuration of the first measurement is invalid after the timer expires or times out.

[0174] In some embodiments, as shown in FIG9, the terminal device 900 further includes a processing module 920, which is used to perform the first measurement based on the measurement configuration of the first measurement when the activation condition is met.

[0175] In some embodiments, the activation condition includes at least one of the following: the entry condition for the terminal device to perform cell handover is met; the signal quality of the serving cell of the terminal device is less than a first threshold value.

[0176] In some embodiments, the reporting configuration of the measurement results includes one or more of the following: identification information of the first measurement; data type of the report; reporting method; partial reporting indication information, wherein the partial reporting indication information is used to indicate that a portion of the measurement results are reported.

[0177] In some embodiments, the reported data type is indicated explicitly, or the reported data type is indicated implicitly.

[0178] In some embodiments, the reported data type is L1 data or L3 data.

[0179] In some embodiments, the reporting method is stored reporting, which can be any of the following: timer-based reporting, condition-based reporting, or explicit indication-based reporting.

[0180] In some embodiments, the measurement results are used to compare with the prediction results of the network-side model in order to monitor the network-side model based on the comparison results.

[0181] In some embodiments, the association between the measurement configuration of the first measurement and the reporting configuration of the measurement result includes: both the measurement configuration of the first measurement and the reporting configuration of the measurement result include the identification information of the first measurement; or, the reporting configuration of the measurement result includes the identification information of the first measurement, and the identification information of the first measurement is associated with the measurement configuration of the first measurement; or, the reporting configuration of the measurement result is included in the measurement configuration of the first measurement.

[0182] In some embodiments, the network-side model is applicable to at least one of the following scenarios: time-domain prediction scenario, spatial-domain prediction scenario, and frequency-domain prediction scenario.

[0183] In some embodiments, for the time-domain prediction scenario, when the actual measurement result input to the network-side model is L1 data and the predicted measurement result output by the network-side model is L3 data, the partial or complete measurement configuration of the first measurement is used to indicate that the L3 data is measured, and / or the reporting data type in the reporting configuration of the measurement result is the L3 data.

[0184] In some embodiments, the reporting priority of the actual measurement results in L3 data form is higher than the reporting priority of the actual measurement results in L1 data form; and / or, the actual measurement results in L3 data form are reported, and the actual measurement results in L1 data form are stored.

[0185] In some embodiments, for the spatial prediction scenario, the reporting configuration of the measurement results includes partial reporting indication information, which is used to indicate the reporting of a portion of the measurement results.

[0186] In some embodiments, for the frequency domain prediction scenario, the measurement configuration of the first measurement includes a measurement interval, which is used to limit the interval duration between measurement times for different frequency domain units.

[0187] Please refer to Figure 10, which shows a block diagram of a network device provided in one embodiment of this application. This network device has the function of performing the measurement configuration method described above on the network device side. As shown in Figure 10, the network device 1000 may include a transmitting module 1010.

[0188] The sending module 1010 is used to send first information, which is related to the configuration of the first measurement, and the measurement result obtained from the first measurement is used for network-side model monitoring.

[0189] In some embodiments, the first information is used to determine the measurement configuration of the first measurement, and / or to determine the reporting configuration of the measurement results.

[0190] In some embodiments, the first information includes: measurement configuration information and / or reporting configuration information; wherein the measurement configuration information is used to determine the measurement configuration of the first measurement, and the reporting configuration information is used to determine the reporting configuration of the measurement result.

[0191] In some embodiments, the measurement configuration of the first measurement includes one or more of the following: identification information of the first measurement; partial measurement configuration of the first measurement, wherein the partial measurement configuration of the first measurement is a part of the complete measurement configuration of the first measurement, and the partial measurement configuration of the first measurement is one or more measurement configurations that are different from the measurement configuration of the second measurement, wherein the second measurement is a measurement configured prior to the first measurement; the complete measurement configuration of the first measurement; the timer corresponding to the first measurement; and the start condition corresponding to the first measurement.

[0192] In some embodiments, the measurement configuration of the first measurement is valid before the timer expires or times out; and / or, the measurement configuration of the first measurement is invalid after the timer expires or times out.

[0193] In some embodiments, the activation condition is used to determine when to perform the first measurement based on the measurement configuration of the first measurement.

[0194] In some embodiments, the activation condition includes at least one of the following: the entry condition for the terminal device to perform cell handover is met; the signal quality of the serving cell of the terminal device is less than a first threshold value.

[0195] In some embodiments, the reporting configuration of the measurement results includes one or more of the following: identification information of the first measurement; data type of the report; reporting method; partial reporting indication information, wherein the partial reporting indication information is used to indicate that a portion of the measurement results are reported.

[0196] In some embodiments, the reported data type is indicated explicitly, or the reported data type is indicated implicitly.

[0197] In some embodiments, the reported data type is L1 data or L3 data.

[0198] In some embodiments, the reporting method is stored reporting, which can be any of the following: timer-based reporting, condition-based reporting, or explicit indication-based reporting.

[0199] In some embodiments, the measurement results are used to compare with the prediction results of the network-side model in order to monitor the network-side model based on the comparison results.

[0200] In some embodiments, the association between the measurement configuration of the first measurement and the reporting configuration of the measurement result includes: both the measurement configuration of the first measurement and the reporting configuration of the measurement result include the identification information of the first measurement; or, the reporting configuration of the measurement result includes the identification information of the first measurement, and the identification information of the first measurement is associated with the measurement configuration of the first measurement; or, the reporting configuration of the measurement result is included in the measurement configuration of the first measurement.

[0201] In some embodiments, the network-side model is applicable to at least one of the following scenarios: time-domain prediction scenario, spatial-domain prediction scenario, and frequency-domain prediction scenario.

[0202] In some embodiments, for the time-domain prediction scenario, when the actual measurement result input to the network-side model is L1 data and the predicted measurement result output by the network-side model is L3 data, the partial or complete measurement configuration of the first measurement is used to indicate that the L3 data is measured, and / or, the reporting data type in the reporting configuration of the measurement result is the L3 data. Optionally, as shown in FIG10, the network device 1000 further includes a processing module 1020, used to compare the actual measurement result in L3 data form with the predicted measurement result in L3 data form, so as to monitor the network-side model based on the comparison result.

[0203] In some embodiments, the reporting priority of the actual measurement results in L3 data form is higher than the reporting priority of the actual measurement results in L1 data form; and / or, the actual measurement results in L3 data form are reported, and the actual measurement results in L1 data form are stored. Optionally, as shown in FIG10, the network device 1000 further includes a processing module 1020, configured to obtain the predicted measurement results in L3 data form based on the actual measurement results in L1 data form using the network-side model; and compare the actual measurement results in L3 data form with the predicted measurement results in L3 data form to monitor the network-side model based on the comparison results.

[0204] In some embodiments, for the spatial prediction scenario, the reporting configuration of the measurement results includes partial reporting indication information, which is used to indicate the reporting of a portion of the measurement results.

[0205] In some embodiments, for the frequency domain prediction scenario, the measurement configuration of the first measurement includes a measurement interval, which is used to limit the interval duration between measurement times for different frequency domain units.

[0206] It should be noted that the above embodiments only illustrate the division of the above functional modules when implementing the functions of the device. In actual applications, the above functions can be assigned to different functional modules according to actual needs, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0207] Regarding the devices in the above embodiments, the specific methods by which each module performs its operations have been described in detail in the embodiments related to the method, and will not be elaborated upon here. For details not described in detail in the device embodiments, please refer to the above method embodiments.

[0208] Please refer to Figure 11, which shows a schematic diagram of the structure of a terminal device provided in one embodiment of this application. The terminal device 1100 may include a processor 1101, a transceiver 1102, and a memory 1103. The processor 1101 is used to implement various processing functions of the terminal device 1100, such as generating information to be sent, processing received information, controlling transmission and / or reception, etc., for example, to implement the functions of the processing module 920 described above. The transceiver 1102 is used to implement transmission and / or reception functions, for example, to implement the functions of the receiving module 910 described above.

[0209] The processor 1101 includes one or more processing cores. The processor 1101 executes various functional applications and information processing by running software programs and modules.

[0210] The transceiver 1102 may include a receiver and a transmitter. For example, the receiver and transmitter may be implemented as the same wireless communication component, which may include a wireless communication chip and a radio frequency antenna.

[0211] The memory 1103 can be connected to the processor 1101 and the transceiver 1102.

[0212] The memory 1103 can be used to store a computer program executed by the processor, and the processor 1101 is used to execute the computer program so that the terminal device performs the various steps performed by the terminal device in the above method embodiments.

[0213] In some embodiments, transceiver 1102 is configured to receive first information related to the configuration of a first measurement, the measurement result obtained from the first measurement being used for network-side model monitoring. Optionally, processor 1101 is configured to execute the first measurement based on the measurement configuration of the first measurement when the activation condition is met.

[0214] For details not described in this embodiment, please refer to the embodiments above, which will not be repeated here.

[0215] Furthermore, the memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, including but not limited to: magnetic disks or optical disks, electrically erasable programmable read-only memory, erasable programmable read-only memory, statically accessible memory, read-only memory, magnetic memory, flash memory, and programmable read-only memory.

[0216] Please refer to Figure 12, which shows a schematic diagram of a network device provided in one embodiment of this application. The network device 1200 may include a processor 1201, a transceiver 1202, and a memory 1203. The processor 1201 can be used to implement various processing functions of the network device 1200, such as generating information to be sent, processing received information, controlling transmission and / or reception, etc., for example, to implement the functions of the processing module 1020 described above. The transceiver 1202 is used to implement transmission and / or reception functions, for example, to implement the functions of the transmission module 1010 described above.

[0217] The processor 1201 includes one or more processing cores. The processor 1201 executes various functional applications and information processing by running software programs and modules.

[0218] Transceiver 1202 may include a receiver and a transmitter. For example, transceiver 1202 may include a wired communication component, which may include a wired communication chip and a wired interface (such as a fiber optic interface). Optionally, transceiver 1202 may also include a wireless communication component, which may include a wireless communication chip and a radio frequency antenna.

[0219] The memory 1203 can be connected to the processor 1201 and the transceiver 1202.

[0220] The memory 1203 can be used to store a computer program executed by the processor, and the processor 1201 is used to execute the computer program so that the network device performs the various steps performed by the network device in the above method embodiment.

[0221] In some embodiments, transceiver 1202 is configured to send first information, the first information being related to the configuration of a first measurement, and the measurement result obtained from the first measurement being used for network-side model monitoring.

[0222] For details not described in this embodiment, please refer to the embodiments above, which will not be repeated here.

[0223] Furthermore, the memory 1203 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, including but not limited to: magnetic disks or optical disks, electrically erasable programmable read-only memory, erasable programmable read-only memory, static on-demand memory, read-only memory, magnetic memory, flash memory, and programmable read-only memory.

[0224] This application also provides a computer-readable storage medium storing a computer program for execution by a processor to implement the measurement configuration method on the terminal device side or the measurement configuration method on the network device side. In some embodiments, the computer-readable storage medium may include ROM (Read-Only Memory), RAM (Random-Access Memory), SSD (Solid State Drives), or optical disc, etc. The random access memory may include ReRAM (Resistance Random Access Memory) and DRAM (Dynamic Random Access Memory).

[0225] This application also provides a chip, which includes programmable logic circuits and / or program instructions. When the chip is running, it is used to implement the above-mentioned measurement configuration method on the terminal device side.

[0226] This application also provides a chip, which includes programmable logic circuitry and / or program instructions. When the chip is running in a terminal device, it is used to: receive first information, the first information being related to the configuration of a first measurement, and the measurement result obtained from the first measurement being used for network-side model monitoring. When the chip is running in the terminal device, it is also used to implement other steps executed by the terminal device as described in the above embodiments, which will not be repeated here.

[0227] This application also provides a chip, which includes programmable logic circuits and / or program instructions, and when the chip is running, it is used to implement the above-mentioned measurement configuration method on the network device side.

[0228] This application also provides a chip, which includes programmable logic circuitry and / or program instructions. When the chip is running in a network device, it is used to: send first information, the first information being related to the configuration of a first measurement, and the measurement result obtained from the first measurement being used for network-side model monitoring. When the chip is running in the network device, it is also used to implement other steps performed by the network device as described in the above embodiments, which will not be repeated here.

[0229] This application also provides a computer program product, which includes computer instructions stored in a computer-readable storage medium. A processor reads and executes the computer instructions from the computer-readable storage medium to implement the above-described measurement configuration method on the terminal device side or the above-described measurement configuration method on the network device side.

[0230] It should be understood that the term "instruction" mentioned in the embodiments of this application can be a direct instruction, an indirect instruction, or an indication of a relationship. For example, A instructing B can mean that A directly instructs B, such as B being able to obtain information through A; it can also mean that A indirectly instructs B, such as A instructing C, so B can obtain information through C; or it can mean that there is a relationship between A and B.

[0231] In the description of the embodiments of this application, the term "correspondence" may indicate that there is a direct or indirect correspondence between two things, or that there is an association between two things, or that there is a relationship of instruction and being instructed, configuration and being configured, etc.

[0232] In some embodiments of this application, "predefined" can be achieved by pre-storing corresponding codes, tables, or other means that can be used to indicate relevant information in the device (e.g., including terminal devices and network devices). This application does not limit the specific implementation method. For example, predefined can refer to what is defined in the protocol.

[0233] In some embodiments of this application, the term "protocol" may refer to standard protocols in the field of communications, such as BLE protocol, Wi-Fi protocol, and related protocols applied in future communication systems. This application does not limit the scope of these protocols.

[0234] In this article, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0235] In this article, "greater than or equal to" can mean greater than or equal to, and "less than or equal to" can mean less than or equal to.

[0236] Furthermore, the step numbers described herein are merely illustrative of one possible execution order between steps. In some other embodiments, the steps may not be executed in the order of their numbers, such as two steps with different numbers being executed simultaneously, or two steps with different numbers being executed in the reverse order of the illustration. This application does not limit this.

[0237] Those skilled in the art will recognize that the functions described in the embodiments of this application in one or more of the above examples can be implemented using hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any medium that facilitates the transfer of a computer program from one place to another. Storage media can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0238] The above description is merely an exemplary embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A measurement configuration method, characterized in that, The method is executed by a terminal device, and the method includes: Receive first information, which is related to the configuration of the first measurement, and the measurement result obtained from the first measurement is used for network-side model monitoring.

2. The method according to claim 1, characterized in that, The first information is used to determine the measurement configuration of the first measurement, and / or to determine the reporting configuration of the measurement results.

3. The method according to claim 1 or 2, characterized in that, The first information includes: measurement configuration information and / or reporting configuration information; wherein, the measurement configuration information is used to determine the measurement configuration of the first measurement, and the reporting configuration information is used to determine the reporting configuration of the measurement result.

4. The method according to any one of claims 1 to 3, characterized in that, The measurement configuration for the first measurement includes one or more of the following: The identification information of the first measurement; The partial measurement configuration of the first measurement is a part of the complete measurement configuration of the first measurement, and the partial measurement configuration of the first measurement is one or more measurement configurations that are different from the measurement configuration of the second measurement, the second measurement being a measurement configured prior to the first measurement; The complete measurement configuration for the first measurement; The timer corresponding to the first measurement; The activation condition corresponding to the first measurement.

5. The method according to claim 4, characterized in that, The measurement configuration of the first measurement is valid until the timer expires or times out.

6. The method according to claim 4 or 5, characterized in that, The method further includes: If the activation condition is met, the first measurement is performed based on the measurement configuration of the first measurement.

7. The method according to any one of claims 4 to 6, characterized in that, The activation conditions include at least one of the following: The conditions for the terminal device to perform cell handover have been met; The signal quality of the serving cell of the terminal device is less than the first threshold value.

8. The method according to any one of claims 1 to 7, characterized in that, The configuration for reporting measurement results includes one or more of the following information: The identification information of the first measurement; Report data types; Reporting method; Partial reporting instruction information, which is used to instruct the reporting of a portion of the measurement results.

9. The method according to claim 8, characterized in that, The reported data type is indicated explicitly, or the reported data type is indicated implicitly.

10. The method according to claim 8 or 9, characterized in that, The reported data type is either L1 data or L3 data.

11. The method according to any one of claims 8 to 10, characterized in that, The reporting method is stored reporting, which can be any of the following: timer-based reporting, condition-based reporting, or explicit indication-based reporting.

12. The method according to any one of claims 1 to 11, characterized in that, The measurement results are used to compare with the prediction results of the network-side model in order to monitor the network-side model based on the comparison results.

13. The method according to any one of claims 1 to 12, characterized in that, The association method between the measurement configuration of the first measurement and the reporting configuration of the measurement result includes: Both the measurement configuration for the first measurement and the reporting configuration for the measurement result include the identification information of the first measurement; or, The reporting configuration of the measurement results includes the identification information of the first measurement, and the identification information of the first measurement is associated with the measurement configuration of the first measurement; or, The reporting configuration of the measurement results is included in the measurement configuration of the first measurement.

14. The method according to any one of claims 1 to 13, characterized in that, The network-side model is applicable to at least one of the following scenarios: time-domain prediction scenario, spatial-domain prediction scenario, and frequency-domain prediction scenario.

15. The method according to claim 14, characterized in that, For the time-domain prediction scenario, when the actual measurement result input to the network-side model is L1 data and the predicted measurement result output by the network-side model is L3 data, the partial or complete measurement configuration of the first measurement is used to indicate that the L3 data is measured, and / or the data type of the reporting configuration of the measurement result is the L3 data.

16. The method according to claim 15, characterized in that, The reporting priority of the actual measurement results in L3 data form is higher than that of the actual measurement results in L1 data form; and / or, the actual measurement results in L3 data form are reported, and the actual measurement results in L1 data form are stored.

17. The method according to any one of claims 14 to 16, characterized in that, For the aforementioned spatial prediction scenario, the reporting configuration of the measurement results includes partial reporting indication information, which is used to indicate the reporting of a portion of the measurement results.

18. The method according to any one of claims 14 to 17, characterized in that, For the frequency domain prediction scenario, the measurement configuration of the first measurement includes a measurement interval, which is used to limit the interval between measurement times for different frequency domain units.

19. A measurement configuration method, characterized in that, The method is performed by a network device, and the method includes: Send a first message, which is related to the configuration of the first measurement, and the measurement result obtained from the first measurement is used for network-side model monitoring.

20. The method according to claim 19, characterized in that, The first information is used to determine the measurement configuration of the first measurement, and / or to determine the reporting configuration of the measurement results.

21. The method according to claim 19 or 20, characterized in that, The first information includes: measurement configuration information and / or reporting configuration information; wherein, the measurement configuration information is used to determine the measurement configuration of the first measurement, and the reporting configuration information is used to determine the reporting configuration of the measurement result.

22. The method according to any one of claims 19 to 21, characterized in that, The measurement configuration for the first measurement includes one or more of the following: The identification information of the first measurement; The partial measurement configuration of the first measurement is a part of the complete measurement configuration of the first measurement, and the partial measurement configuration of the first measurement is one or more measurement configurations that are different from the measurement configuration of the second measurement, the second measurement being a measurement configured prior to the first measurement; The complete measurement configuration for the first measurement; The timer corresponding to the first measurement; The activation condition corresponding to the first measurement.

23. The method according to claim 22, characterized in that, The measurement configuration of the first measurement is valid until the timer expires or times out.

24. The method according to claim 22 or 23, characterized in that, The activation condition is used to determine when to perform the first measurement based on the measurement configuration of the first measurement.

25. The method according to any one of claims 22 to 24, characterized in that, The activation conditions include at least one of the following: The conditions for the terminal device to perform cell handover have been met; The signal quality of the serving cell of the terminal device is less than the first threshold value.

26. The method according to any one of claims 19 to 25, characterized in that, The configuration for reporting measurement results includes one or more of the following information: The identification information of the first measurement; Report data types; Reporting method; Partial reporting instruction information, which is used to instruct the reporting of a portion of the measurement results.

27. The method according to claim 26, characterized in that, The reported data type is indicated explicitly, or the reported data type is indicated implicitly.

28. The method according to claim 26 or 27, characterized in that, The reported data type is either L1 data or L3 data.

29. The method according to any one of claims 26 to 28, characterized in that, The reporting method is stored reporting, which can be any of the following: timer-based reporting, condition-based reporting, or explicit indication-based reporting.

30. The method according to any one of claims 19 to 29, characterized in that, The measurement results are used to compare with the prediction results of the network-side model in order to monitor the network-side model based on the comparison results.

31. The method according to any one of claims 19 to 30, characterized in that, The association method between the measurement configuration of the first measurement and the reporting configuration of the measurement result includes: Both the measurement configuration for the first measurement and the reporting configuration for the measurement result include the identification information of the first measurement; or, The reporting configuration of the measurement results includes the identification information of the first measurement, and the identification information of the first measurement is associated with the measurement configuration of the first measurement; or, The reporting configuration of the measurement results is included in the measurement configuration of the first measurement.

32. The method according to any one of claims 19 to 31, characterized in that, The network-side model is applicable to at least one of the following scenarios: time-domain prediction scenario, spatial-domain prediction scenario, and frequency-domain prediction scenario.

33. The method according to claim 32, characterized in that, For the time-domain prediction scenario, when the actual measurement result input to the network-side model is L1 data and the predicted measurement result output by the network-side model is L3 data, the partial or complete measurement configuration of the first measurement is used to indicate that the L3 data is measured, and / or the data type of the reporting configuration of the measurement result is the L3 data. The method further includes: The actual measurement results in the form of L3 data are compared with the predicted measurement results in the form of L3 data, and the network-side model is monitored based on the comparison results.

34. The method according to claim 33, characterized in that, The reporting priority of the actual measurement results in the L3 data format is higher than that of the actual measurement results in the L1 data format. And / or, report the actual measurement results in the form of L3 data, and store the actual measurement results in the form of L1 data; The method further includes: Based on the actual measurement results in the L1 data format, the network-side model obtains the predicted measurement results in the L3 data format. The actual measurement results in the form of L3 data are compared with the predicted measurement results in the form of L3 data, and the network-side model is monitored based on the comparison results.

35. The method according to any one of claims 32 to 34, characterized in that, For the aforementioned spatial prediction scenario, the reporting configuration of the measurement results includes partial reporting indication information, which is used to indicate the reporting of a portion of the measurement results.

36. The method according to any one of claims 32 to 35, characterized in that, For the frequency domain prediction scenario, the measurement configuration of the first measurement includes a measurement interval, which is used to limit the interval between measurement times for different frequency domain units.

37. A terminal device, characterized in that, The terminal device includes: The receiving module is used to receive first information, which is related to the configuration of the first measurement, and the measurement result obtained from the first measurement is used for network-side model monitoring.

38. The terminal device according to claim 37, characterized in that, The first information is used to determine the measurement configuration of the first measurement, and / or to determine the reporting configuration of the measurement results.

39. The terminal device according to claim 37 or 38, characterized in that, The first information includes: measurement configuration information and / or reporting configuration information; wherein, the measurement configuration information is used to determine the measurement configuration of the first measurement, and the reporting configuration information is used to determine the reporting configuration of the measurement result.

40. The terminal device according to any one of claims 37 to 39, characterized in that, The measurement configuration for the first measurement includes one or more of the following: The identification information of the first measurement; The partial measurement configuration of the first measurement is a part of the complete measurement configuration of the first measurement, and the partial measurement configuration of the first measurement is one or more measurement configurations that are different from the measurement configuration of the second measurement, the second measurement being a measurement configured prior to the first measurement; The complete measurement configuration for the first measurement; The timer corresponding to the first measurement; The activation condition corresponding to the first measurement.

41. The terminal device according to claim 40, characterized in that, The measurement configuration of the first measurement is valid until the timer expires or times out.

42. The terminal device according to claim 40 or 41, characterized in that, The terminal device also includes: The processing module is configured to perform the first measurement based on the measurement configuration of the first measurement when the activation condition is met.

43. The terminal device according to any one of claims 40 to 42, characterized in that, The activation conditions include at least one of the following: The conditions for the terminal device to perform cell handover have been met; The signal quality of the serving cell of the terminal device is less than the first threshold value.

44. The terminal device according to any one of claims 37 to 43, characterized in that, The configuration for reporting measurement results includes one or more of the following information: The identification information of the first measurement; Report data types; Reporting method; Partial reporting instruction information, which is used to instruct the reporting of a portion of the measurement results.

45. The terminal device according to claim 44, characterized in that, The reported data type is indicated explicitly, or the reported data type is indicated implicitly.

46. ​​The terminal device according to claim 44 or 45, characterized in that, The reported data type is either L1 data or L3 data.

47. The terminal device according to any one of claims 44 to 46, characterized in that, The reporting method is stored reporting, which can be any of the following: timer-based reporting, condition-based reporting, or explicit indication-based reporting.

48. The terminal device according to any one of claims 37 to 47, characterized in that, The measurement results are used to compare with the prediction results of the network-side model in order to monitor the network-side model based on the comparison results.

49. The terminal device according to any one of claims 37 to 48, characterized in that, The association method between the measurement configuration of the first measurement and the reporting configuration of the measurement result includes: Both the measurement configuration for the first measurement and the reporting configuration for the measurement result include the identification information of the first measurement; or, The reporting configuration of the measurement results includes the identification information of the first measurement, and the identification information of the first measurement is associated with the measurement configuration of the first measurement; or, The reporting configuration of the measurement results is included in the measurement configuration of the first measurement.

50. The terminal device according to any one of claims 37 to 49, characterized in that, The network-side model is applicable to at least one of the following scenarios: time-domain prediction scenario, spatial-domain prediction scenario, and frequency-domain prediction scenario.

51. The terminal device according to claim 50, characterized in that, For the time-domain prediction scenario, when the actual measurement result input to the network-side model is L1 data and the predicted measurement result output by the network-side model is L3 data, the partial or complete measurement configuration of the first measurement is used to indicate that the L3 data is measured, and / or the data type of the reporting configuration of the measurement result is the L3 data.

52. The terminal device according to claim 51, characterized in that, The reporting priority of the actual measurement results in L3 data form is higher than that of the actual measurement results in L1 data form; and / or, the actual measurement results in L3 data form are reported, and the actual measurement results in L1 data form are stored.

53. The terminal device according to any one of claims 50 to 52, characterized in that, For the aforementioned spatial prediction scenario, the reporting configuration of the measurement results includes partial reporting indication information, which is used to indicate the reporting of a portion of the measurement results.

54. The terminal device according to any one of claims 50 to 53, characterized in that, For the frequency domain prediction scenario, the measurement configuration of the first measurement includes a measurement interval, which is used to limit the interval between measurement times for different frequency domain units.

55. A network device, characterized in that, The network device includes: The sending module is used to send first information, which is related to the configuration of the first measurement, and the measurement result obtained from the first measurement is used for network-side model monitoring.

56. The network device according to claim 55, characterized in that, The first information is used to determine the measurement configuration of the first measurement, and / or to determine the reporting configuration of the measurement results.

57. The network device according to claim 55 or 56, characterized in that, The first information includes: measurement configuration information and / or reporting configuration information; wherein, the measurement configuration information is used to determine the measurement configuration of the first measurement, and the reporting configuration information is used to determine the reporting configuration of the measurement result.

58. The network device according to any one of claims 55 to 57, characterized in that, The measurement configuration for the first measurement includes one or more of the following: The identification information of the first measurement; The partial measurement configuration of the first measurement is a part of the complete measurement configuration of the first measurement, and the partial measurement configuration of the first measurement is one or more measurement configurations that are different from the measurement configuration of the second measurement, the second measurement being a measurement configured prior to the first measurement; The complete measurement configuration for the first measurement; The timer corresponding to the first measurement; The activation condition corresponding to the first measurement.

59. The network device according to claim 58, characterized in that, The measurement configuration of the first measurement is valid until the timer expires or times out.

60. The network device according to claim 58 or 59, characterized in that, The activation condition is used to determine when to perform the first measurement based on the measurement configuration of the first measurement.

61. The network device according to any one of claims 58 to 60, characterized in that, The activation conditions include at least one of the following: The conditions for the terminal device to perform cell handover have been met; The signal quality of the serving cell of the terminal device is less than the first threshold value.

62. The network device according to any one of claims 55 to 61, characterized in that, The configuration for reporting measurement results includes one or more of the following information: The identification information of the first measurement; Report data types; Reporting method; Partial reporting instruction information, which is used to instruct the reporting of a portion of the measurement results.

63. The network device according to claim 62, characterized in that, The reported data type is indicated explicitly, or the reported data type is indicated implicitly.

64. The network device according to claim 62 or 63, characterized in that, The reported data type is either L1 data or L3 data.

65. The network device according to any one of claims 62 to 64, characterized in that, The reporting method is stored reporting, which can be any of the following: timer-based reporting, condition-based reporting, or explicit indication-based reporting.

66. The network device according to any one of claims 55 to 65, characterized in that, The measurement results are used to compare with the prediction results of the network-side model in order to monitor the network-side model based on the comparison results.

67. The network device according to any one of claims 55 to 66, characterized in that, The association method between the measurement configuration of the first measurement and the reporting configuration of the measurement result includes: Both the measurement configuration for the first measurement and the reporting configuration for the measurement result include the identification information of the first measurement; or, The reporting configuration of the measurement results includes the identification information of the first measurement, and the identification information of the first measurement is associated with the measurement configuration of the first measurement; or, The reporting configuration of the measurement results is included in the measurement configuration of the first measurement.

68. The network device according to any one of claims 55 to 67, characterized in that, The network-side model is applicable to at least one of the following scenarios: time-domain prediction scenario, spatial-domain prediction scenario, and frequency-domain prediction scenario.

69. The network device according to claim 68, characterized in that, For the time-domain prediction scenario, when the actual measurement result input to the network-side model is L1 data and the predicted measurement result output by the network-side model is L3 data, the partial or complete measurement configuration of the first measurement is used to indicate that the L3 data is measured, and / or the data type of the reporting configuration of the measurement result is the L3 data. The network device also includes: The processing module is used to compare the actual measurement results in the form of L3 data with the predicted measurement results in the form of L3 data, so as to monitor the network-side model based on the comparison results.

70. The network device according to claim 69, characterized in that, The reporting priority of the actual measurement results in the L3 data format is higher than that of the actual measurement results in the L1 data format. And / or, report the actual measurement results in the form of L3 data, and store the actual measurement results in the form of L1 data; The network device also includes: The processing module is used to obtain the predicted measurement results in the L3 data form based on the actual measurement results in the L1 data form using the network-side model; The processing module is further configured to compare the actual measurement results in the L3 data form with the predicted measurement results in the L3 data form, so as to monitor the network-side model based on the comparison results.

71. The network device according to any one of claims 68 to 70, characterized in that, For the aforementioned spatial prediction scenario, the reporting configuration of the measurement results includes partial reporting indication information, which is used to indicate the reporting of a portion of the measurement results.

72. The network device according to any one of claims 68 to 71, characterized in that, For the frequency domain prediction scenario, the measurement configuration of the first measurement includes a measurement interval, which is used to limit the interval between measurement times for different frequency domain units.

73. A terminal device, characterized in that, The terminal device includes a processor and a memory, the memory storing a computer program, and the processor executing the computer program to cause the terminal device to perform the method as described in any one of claims 1 to 18.

74. A network device, characterized in that, The network device includes a processor and a memory, the memory storing a computer program, the processor executing the computer program to cause the network device to perform the method as described in any one of claims 19 to 36.

75. A computer-readable storage medium, characterized in that, The storage medium stores a computer program that is executed by a processor to implement the method as described in any one of claims 1 to 18, or the method as described in any one of claims 19 to 36.

76. A chip, characterized in that, The chip includes programmable logic circuitry and / or program instructions, which, when the chip is running, are used to implement the method as described in any one of claims 1 to 18, or to implement the method as described in any one of claims 19 to 36.

77. A computer program product, characterized in that, The computer program product includes computer instructions stored in a computer-readable storage medium, which a processor reads from and executes to implement the method as claimed in any one of claims 1 to 18, or the method as claimed in any one of claims 19 to 36.

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