Measurement result prediction method, terminal device and network device

Abstract

A measurement result prediction method, a terminal device and a network device, which are applied to the technical field of communications. The method comprises: a network device sends a configuration signaling to a terminal device, the configuration signaling being used for indicating at least one of the following information: time domain information, frequency domain information, spatial domain information and reporting indication information; the terminal device determines a first measurement result obtained by separately predicting at least one first measurement object, a resource position of the first measurement object being indicated by at least one of the time domain information, the frequency domain information and the spatial domain information; and, on the basis of the reporting indication information, the terminal device sends the first measurement result to the network device. Thus, related configurations for predicting measurement results can be effectively implemented so as to ensure that terminal devices can predict the measurement results on the basis of the corresponding configurations, thus improving the switching performance of the terminal devices.

Description

Measurement result prediction method, terminal device and network device

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on April 3, 2024, with application number 202410409301.3 and application name “Test Result Prediction Method, Terminal Device and Network Device”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of communications, and in particular to a test result prediction method, terminal equipment, and network equipment. Background Art

[0003] Mobility measurement is an important part of wireless communication. Terminal devices can perform mobility measurements according to the measurement configuration sent by network devices.

[0004] The measurement configuration may include a measurement object, and the terminal device performs mobility measurements on the measurement object. The measurement configuration may also include reporting conditions, which may instruct the terminal device to compare the measurement results with a preset threshold to determine whether the measurement results need to be reported to the network device. However, in high-frequency and high-speed scenarios, the preset threshold is difficult to configure because the air interface quality changes very quickly. If the preset threshold is set improperly, it may cause handover performance to degrade.

[0005] To improve handover performance, for example, AI algorithms can be introduced to predict measurement results. However, after introducing AI algorithms, it is necessary to consider how to configure the AI ​​algorithm's input, output, and predicted measurement results. Currently, there is no effective solution. Summary of the Invention

[0006] The embodiments of the present application provide a test result prediction method, terminal equipment, and network equipment, which are applied in the field of communication technology.

[0007] In a first aspect, embodiments of the present application provide a test result prediction method. Applied to a terminal device, the method includes:

[0008] receiving configuration signaling from a network device, wherein the configuration signaling is used to indicate at least one of the following information: time domain information, frequency domain information, spatial domain information, and reporting indication information;

[0009] Determine first measurement results respectively predicted for at least one first measurement object, where a resource location of the first measurement object is indicated by at least one of time domain information, frequency domain information, and spatial domain information;

[0010] Send the first measurement result to the network device according to the reporting instruction information.

[0011] In this implementation, configuration signaling is sent to the terminal device through the network device to instruct the terminal device on how to perform the prediction of the measurement results and how to report the predicted first measurement result. This can effectively implement the relevant configuration for predicting the measurement results to ensure that the terminal device can perform the prediction of the measurement results based on the corresponding configuration, thereby improving the switching performance of the terminal device.

[0012] In a possible implementation, determining first measurement results respectively predicted for at least one first measurement object includes:

[0013] Obtaining a second measurement result obtained by measuring a second measurement object, where a time domain position of the second measurement object is before a time domain position of the first measurement object, and the time domain position of the second measurement object is determined according to a measurement configuration of the mobility measurement;

[0014] The second measurement result is input into the prediction model to obtain the first measurement result of each of the at least one first measurement object.

[0015] In this implementation, by inputting the second measurement result obtained by performing the mobility measurement into the prediction model, the first measurement result of the first measurement object can be effectively obtained, thereby effectively achieving the purpose of predicting the measurement result.

[0016] In one possible implementation, inputting the second measurement result into a prediction model to obtain a first measurement result of each of at least one first measurement object includes:

[0017] The second measurement result is input into the prediction model, so that the prediction model outputs the first measurement result of each of the at least one first measurement object.

[0018] In this implementation, the prediction model can directly output the first measurement result currently required, thereby effectively improving the efficiency and simplicity of obtaining the first measurement result.

[0019] In one possible implementation, inputting the second measurement result into a prediction model to obtain a first measurement result of each of at least one first measurement object includes:

[0020] inputting the second measurement result into the prediction model so that the prediction model outputs a plurality of predicted measurement results;

[0021] Among the multiple predicted measurement results, a first measurement result of each of at least one first measurement object is obtained.

[0022] In this implementation, the terminal device can filter out the required measurement results from the measurement results output by the prediction model. Therefore, when training the prediction model, there is no need to consider which specific measurement objects the measurement results are to be predicted for, thereby improving the generalization of the prediction model.

[0023] In one possible implementation, the time domain information is used to indicate the first step length i;

[0024] The time domain positions of at least one first measurement object are: N+i moment, N+2i moment,…, N+mi moment, where N is the moment corresponding to the time domain position of the second measurement object, and the first step length i and the first number m are both values ​​greater than or equal to 0.

[0025] In this implementation, the time domain position of at least one first measurement object that needs to be predicted is indicated by the time domain information, thereby effectively configuring the measurement objects for which measurement result prediction is required in the time domain dimension.

[0026] In a possible implementation, the first number m is indicated by time domain information;

[0027] Alternatively, the first number m is determined according to the number of first measurement results output by the prediction model, wherein the prediction model only outputs first measurement results whose credibility is greater than a first threshold.

[0028] In a possible implementation manner, the frequency domain information is used to indicate at least one first frequency domain position to be predicted, and the frequency domain positions of at least one first measurement object are respectively the first frequency domain positions.

[0029] In this implementation, the frequency domain position of at least one first measurement object that needs to be predicted is indicated by frequency domain information, thereby effectively configuring the measurement objects for which measurement result prediction is required in the frequency domain dimension.

[0030] In a possible implementation, the frequency domain information is further used to indicate a second frequency domain position to be measured, and the frequency domain position of the second measurement object is the second frequency domain position.

[0031] Furthermore, the frequency domain information may also indicate the frequency domain position of the second measurement object for which mobility measurement is required, so that the terminal device can determine where specifically to perform the mobility measurement, thereby effectively obtaining the second measurement result as a prediction input.

[0032] In a possible implementation manner, the first frequency domain position and the second frequency domain position are frequency domain positions in the same cell;

[0033] The first frequency domain position and the second frequency domain position do not overlap, or the first frequency domain position is a broadband frequency domain position corresponding to the second frequency domain position.

[0034] In this implementation method, the terminal device can effectively predict the measurement results of other frequency domain positions based on the measurement results of a certain frequency domain in the same cell based on the frequency domain position indicated by the frequency domain information, or predict the measurement results of the corresponding broadband frequency domain position based on the measurement results of a certain frequency domain position.

[0035] In a possible implementation, the first frequency domain position is a frequency domain position in a first cell, the second frequency domain position is a frequency domain position in a second cell, and the first cell and the second cell are located in the same coverage area;

[0036] The frequency points of the first cell and the second cell are different; or the systems of the first cell and the second cell are different.

[0037] In this implementation method, the terminal device can effectively predict the measurement results of other frequency domain positions in other cells with different frequencies (or different standards) but the same coverage based on the measurement results of a certain frequency domain position in a certain cell based on the frequency domain position indicated by the frequency domain information.

[0038] In a possible implementation, the spatial domain information is used to indicate at least one first beam to be predicted, and at least one first measurement object corresponds to each first beam; or,

[0039] The spatial domain information is used to indicate at least one third cell to be predicted, and the at least one first measurement object corresponds to each third cell.

[0040] In a possible implementation, the spatial domain information is further used to indicate at least one second beam to be measured, and at least one second measurement object corresponds to each second beam; or,

[0041] The spatial domain information is further used to indicate at least one fourth cell to be measured, and the at least one second measurement object corresponds to each fourth cell;

[0042] The first beam and the second beam are located in different coverage areas, and the third cell and the fourth cell are located in different coverage areas.

[0043] In this implementation, by indicating the first beam to be predicted and the second beam to be measured using spatial information, the measurement results of the remaining beams can be predicted based on the measurement results of certain beams. Alternatively, by indicating the third cell to be predicted and the fourth cell to be measured using spatial information, the measurement results of the remaining cells can be predicted based on the measurement results of certain cells.

[0044] In a possible implementation, the number of the at least one first measurement object is determined according to the number of first measurement results output by the prediction model, wherein the prediction model only outputs first measurement results whose credibility is greater than a first threshold.

[0045] In this implementation, the prediction model only outputs the first measurement results with higher credibility, thereby ensuring the reliability of the output first measurement results.

[0046] In a possible implementation, if the configuration signaling does not indicate time domain information, the time domain position of the first measurement object is the same as the time domain position of the second measurement object; and

[0047] If the configuration signaling does not indicate frequency domain information, the frequency domain position of the first measurement object is the same as the frequency domain position of the second measurement object; and

[0048] If the configuration signaling does not indicate the spatial domain information, the spatial domain position of the first measurement object is the same as the spatial domain position of the second measurement object.

[0049] Among them, the network device can configure the terminal device as needed to perform prediction in the time domain dimension, or the frequency domain dimension, or the spatial domain dimension, or a combination of two or three dimensions. For the resource locations of certain dimensions that are not configured by the network device, the same resource location as the second measurement object is used, so as to effectively determine the specific resource location of the first measurement object that needs to be measured.

[0050] In a possible implementation manner, the reporting indication information is used to instruct reporting of the first measurement result of each of the at least one first measurement object.

[0051] In this implementation, the terminal device provides all obtained first measurement results to the network device to improve the comprehensiveness of the reported predicted measurement results.

[0052] In a possible implementation manner, the configuration signaling further includes a second threshold;

[0053] The reporting indication information is used to indicate to report the first measurement result whose credibility is greater than the second threshold.

[0054] In this implementation, the terminal device only provides the first measurement result with a relatively high credibility to the network device, so as to improve the reliability and effectiveness of the reported predicted measurement result.

[0055] In one possible implementation, the method further includes:

[0056] If there is a first measurement result that meets a preset threshold corresponding to the measurement event, determining first event information, where the first event information is used to indicate that the measurement event is expected to be triggered at a first time, where the first time is the time corresponding to the first measurement result that meets the preset threshold;

[0057] The reporting instruction information is used to instruct reporting of the first event information.

[0058] In this implementation, the terminal device can estimate whether a corresponding measurement event will be triggered based on the first measurement result, and then report the event information that is estimated to trigger the measurement event to the network device, thereby effectively realizing the estimation of the measurement event.

[0059] In a possible implementation manner, the reporting indication information is further used to instruct reporting of the second measurement result.

[0060] In this way, the comprehensiveness of the measurement results reported to the network device can be improved.

[0061] In one possible implementation, the method further includes:

[0062] First indication information is sent to the network device, where the first indication information is used to indicate that at least one first measurement result is predicted and at least one second measurement result is obtained by measurement.

[0063] In this way, the network device can quickly and efficiently distinguish the types of various measurement results.

[0064] In a possible implementation manner, the reporting indication information is further used to indicate a first period for reporting the first measurement result; or,

[0065] The reporting indication information is used to indicate a measurement event that triggers reporting of the first measurement result.

[0066] In a possible implementation, the first measurement object is a secondary synchronization signal block (SSB), and the first measurement result is at a cell level or an SSB level; or,

[0067] The first measurement object is a channel state information reference signal CSI-RS, and the first measurement result is at a cell level or a CSI-RS level.

[0068] In one possible implementation, the method further includes:

[0069] Send capability information to the network device, where the capability information is used to indicate whether the terminal device supports at least one of the following capabilities: predicted measurement results, predicted beam-level measurement results, predicted cell-level measurement results, predicted time-domain measurement results, predicted frequency-domain measurement results, predicted spatial-domain measurement results, and predicted combined measurement results of at least two of the time-domain, frequency-domain, and spatial-domain;

[0070] The configuration signaling is determined according to the capability information.

[0071] By sending capability information to the network device, it is possible to ensure that the various configurations contained in the configuration signaling sent by the network device are supported by the terminal device.

[0072] In a second aspect, embodiments of the present application provide a measurement result prediction method. Applied to a network device, the method includes:

[0073] Sending configuration signaling to the terminal device, where the configuration signaling is used to indicate at least one of the following information: time domain information, frequency domain information, spatial domain information, and reporting indication information;

[0074] Receive at least one first measurement result from a terminal device, wherein the at least one first measurement result is predicted for at least one first measurement object, and the resource location of the first measurement object is indicated by at least one item of time domain information, frequency domain information, and spatial domain information.

[0075] In one possible implementation, at least one first measurement result is obtained by inputting a second measurement result into a prediction model, wherein the second measurement result is obtained by measuring a second measurement object;

[0076] The time domain location of the second measurement object is before the time domain location of the first measurement object, and the time domain location of the second measurement object is determined according to the measurement configuration of the mobility measurement.

[0077] In a possible implementation manner, the prediction model is used to output multiple predicted measurement results, and the first measurement result of each of the at least one first measurement object is obtained from the multiple predicted measurement results.

[0078] In a possible implementation manner, the prediction model is used to output a respective first measurement result of at least one first measurement object.

[0079] In one possible implementation, the time domain information is used to indicate the first step length i;

[0080] The time domain positions of at least one first measurement object are: N+i moment, N+2i moment,…, N+mi moment, where N is the moment corresponding to the time domain position of the second measurement object, and the first step length i and the first number m are both values ​​greater than or equal to 0.

[0081] In a possible implementation, the first number m is indicated by time domain information;

[0082] Alternatively, the first number m is determined according to the number of first measurement results output by the prediction model, wherein the prediction model only outputs first measurement results whose credibility is greater than a first threshold.

[0083] In a possible implementation manner, the frequency domain information is used to indicate at least one first frequency domain position to be predicted, and the frequency domain positions of at least one first measurement object are respectively the first frequency domain positions.

[0084] In a possible implementation, the frequency domain information is further used to indicate a second frequency domain position to be measured, and the frequency domain position of the second measurement object is the second frequency domain position.

[0085] In a possible implementation manner, the first frequency domain position and the second frequency domain position are frequency domain positions in the same cell;

[0086] The first frequency domain position and the second frequency domain position do not overlap, or the first frequency domain position is a broadband frequency domain position corresponding to the second frequency domain position.

[0087] In a possible implementation, the first frequency domain position is a frequency domain position in a first cell, the second frequency domain position is a frequency domain position in a second cell, and the first cell and the second cell are located in the same coverage area;

[0088] The frequency points of the first cell and the second cell are different; or the systems of the first cell and the second cell are different.

[0089] In a possible implementation, the spatial domain information is used to indicate at least one first beam to be predicted, and at least one first measurement object corresponds to each first beam; or,

[0090] The spatial domain information is used to indicate at least one third cell to be predicted, and the at least one first measurement object corresponds to each third cell.

[0091] In a possible implementation, the spatial domain information is further used to indicate at least one second beam to be measured, and at least one second measurement object corresponds to each second beam; or,

[0092] The spatial domain information is further used to indicate at least one fourth cell to be measured, and the at least one second measurement object corresponds to each fourth cell;

[0093] The first beam and the second beam are located in different coverage areas, and the third cell and the fourth cell are located in different coverage areas.

[0094] In a possible implementation, the number of the at least one first measurement object is determined according to the number of first measurement results output by the prediction model, wherein the prediction model only outputs first measurement results whose credibility is greater than a first threshold.

[0095] In a possible implementation, if the configuration signaling does not indicate time domain information, the time domain position of the first measurement object is the same as the time domain position of the second measurement object; and

[0096] If the configuration signaling does not indicate frequency domain information, the frequency domain position of the first measurement object is the same as the frequency domain position of the second measurement object; and

[0097] If the configuration signaling does not indicate the spatial domain information, the spatial domain position of the first measurement object is the same as the spatial domain position of the second measurement object.

[0098] In a possible implementation manner, the reporting indication information is used to instruct reporting of the first measurement result of each of the at least one first measurement object.

[0099] In a possible implementation manner, the configuration signaling further includes a second threshold;

[0100] The reporting indication information is used to indicate to report the first measurement result whose credibility is greater than the second threshold.

[0101] In one possible implementation, the method further includes:

[0102] First event information is received from a terminal device, where the first event information is used to indicate that a measurement event is expected to be triggered at a first moment, where the first moment is a moment corresponding to a first measurement result that meets a preset threshold of the measurement event.

[0103] In a possible implementation manner, the reporting indication information is further used to instruct reporting of the second measurement result.

[0104] In one possible implementation, the method further includes:

[0105] First indication information is received from a terminal device, where the first indication information is used to indicate that at least one first measurement result is predicted and at least one second measurement result is obtained by measurement.

[0106] In a possible implementation manner, the reporting indication information is further used to indicate a first period for reporting the first measurement result; or,

[0107] The reporting indication information is used to indicate a measurement event that triggers reporting of the first measurement result.

[0108] In a possible implementation manner, the first measurement object is an SSB, and the first measurement result is a cell-level or SSB-level measurement result; or,

[0109] The first measurement object is CSI-RS, and the first measurement result is at a cell level or a CSI-RS level.

[0110] In one possible implementation, the method further includes:

[0111] Receiving capability information from a terminal device, the capability information being used to indicate whether the terminal device supports at least one of the following capabilities: predicted measurement results, predicted beam-level measurement results, predicted cell-level measurement results, predicted time-domain measurement results, predicted frequency-domain measurement results, predicted spatial-domain measurement results, and predicted combined measurement results of at least two of the time-domain, frequency-domain, and spatial-domain;

[0112] Determine configuration signaling based on capability information.

[0113] In a third aspect, the present application provides a performance monitoring method, applied to a terminal device, the method comprising:

[0114] receiving configuration signaling from a terminal device, wherein the configuration signaling is used to indicate at least one first measurement object to be predicted;

[0115] receiving performance monitoring information from a network device, where the performance monitoring information is used to indicate at least one third measurement object to be measured, wherein any third measurement object corresponds to a first measurement object having the same resource location;

[0116] determining a difference between a third measurement result of at least one third measurement object and the corresponding first measurement result;

[0117] Performance report information is sent to the network device based on the difference corresponding to each of the at least one third measurement results and / or the credibility corresponding to each of the at least one first measurement results, where the performance report information is used to indicate that there is an abnormality in the performance of the prediction model.

[0118] In a possible implementation, the performance monitoring information includes a resource location of each third measurement object;

[0119] Alternatively, the performance monitoring information includes a selection condition, and the third measurement object is obtained by screening at least one first measurement object according to the selection condition.

[0120] In a possible implementation, the performance monitoring information is further used to indicate a measurement duration interval;

[0121] The method also includes:

[0122] Mobility measurement is performed on at least one third measurement object with the measurement duration interval as a period to obtain third measurement results corresponding to each third measurement object.

[0123] In one possible implementation, the performance monitoring information is also used to indicate performance reporting information;

[0124] Sending performance report information to the network device according to the difference corresponding to each of the at least one third measurement results and / or the credibility corresponding to each of the at least one first measurement results includes:

[0125] If the difference corresponding to each of the at least one third measurement results and / or the credibility corresponding to each of the at least one first measurement results meet the reporting conditions indicated by the performance reporting information, the network device sends the performance report information.

[0126] In a possible implementation, the performance reporting information includes an error threshold, a first counting threshold, a second counting threshold, and a first timer;

[0127] The reporting conditions for performance reporting information indication are:

[0128] When the number of consecutive times that the first event is triggered is greater than or equal to the first counting threshold, starting the first timer, the first event being that the difference corresponding to the third measurement result is greater than or equal to the error threshold;

[0129] Before the first timer times out, if the number of consecutive times the second event is triggered is greater than or equal to the second counting threshold, the first timer is stopped, and the second event is that the difference corresponding to the third measurement result is less than the error threshold;

[0130] If the first timer times out, performance report information is sent to the network device.

[0131] In a possible implementation, the performance reporting information includes an error threshold, a third counting threshold, a fourth counting threshold, and a first time window;

[0132] The reporting conditions for performance reporting information indication are:

[0133] In any first time window, when the cumulative number of times the first event is triggered is greater than or equal to the third counting threshold, sending performance report information to the network device, where the first event is that the difference corresponding to the third measurement result is greater than or equal to the error threshold; or

[0134] In any first time window, when the cumulative number of times the second event is triggered is less than a fourth counting threshold, performance report information is sent to the network device, and the second event is that the difference corresponding to the third measurement result is less than an error threshold.

[0135] In a possible implementation, the performance reporting information includes a fifth counting threshold, a sixth counting threshold, a first credibility threshold, a second credibility threshold, a first duration, and a second timer;

[0136] The reporting conditions for performance reporting information indication are:

[0137] If the number of consecutive times the third event is triggered is greater than or equal to a fifth counting threshold, and / or the third event is continuously triggered within the first time period, then starting the second timer, the third event being that the credibility of the first measurement result is less than the first credibility threshold;

[0138] Before the second timer times out, if the number of consecutive triggering of the fourth event is greater than or equal to a sixth counting threshold, and / or if the fourth event is continuously triggered within the first time period, stopping the second timer, the fourth event being that the credibility of the third measurement result is greater than or equal to the second credibility threshold;

[0139] If the second timer times out, performance report information is sent to the network device.

[0140] In a possible implementation, the performance reporting information includes a seventh counting threshold, an eighth counting threshold, a first credibility threshold, a second credibility threshold, a second duration, and a second time window;

[0141] The reporting conditions for performance reporting information indication are:

[0142] In any second time window, when the cumulative number of times the third event is triggered is greater than or equal to the seventh counting threshold, and / or the third event is continuously triggered within the second time period, performance report information is sent to the network device, and the third event is that the credibility of the first measurement result is less than the first credibility threshold; or

[0143] Within any second time window, when the cumulative number of times the fourth event is triggered is less than the eighth counting threshold, and / or the fourth event is not continuously triggered within the second time period, performance report information is sent to the network device, and the fourth event is that the credibility of the third measurement result is greater than or equal to the second credibility threshold.

[0144] In a fourth aspect, the present application provides a performance monitoring method applied to a network device, the method comprising:

[0145] Sending configuration signaling to the terminal device, where the configuration signaling is used to indicate at least one first measurement object to be predicted;

[0146] Sending performance monitoring information to the terminal device, where the performance monitoring information is used to indicate at least one third measurement object to be measured, where any third measurement object corresponds to a first measurement object with the same resource location;

[0147] Receive performance report information from the terminal device, where the performance report information is used to indicate that there is an anomaly in the performance of the prediction model.

[0148] In a possible implementation, the performance monitoring information includes a resource location of each third measurement object;

[0149] Alternatively, the performance monitoring information includes a selection condition, and the third measurement object is obtained by screening at least one first measurement object according to the selection condition.

[0150] In a possible implementation, the performance monitoring information is further used to indicate a measurement duration interval, where the measurement duration interval is used to indicate a period for performing mobility measurement on at least one third measurement object, and a result obtained by performing mobility measurement on the third measurement object is a third measurement result.

[0151] In a possible implementation, the performance monitoring information is further used to indicate performance reporting information, and the performance reporting information is used to indicate a reporting condition for the performance report information.

[0152] In a possible implementation, the performance reporting information includes an error threshold, a first counting threshold, a second counting threshold, and a first timer;

[0153] The reporting conditions indicated by the performance report information are:

[0154] When the number of consecutive times that the first event is triggered is greater than or equal to the first counting threshold, starting the first timer, the first event being that the difference corresponding to the third measurement result is greater than or equal to the error threshold;

[0155] Before the first timer times out, if the number of consecutive times the second event is triggered is greater than or equal to the second counting threshold, the first timer is stopped, and the second event is that the difference corresponding to the third measurement result is less than the error threshold;

[0156] If the first timer times out, performance report information is reported.

[0157] In a possible implementation, the performance reporting information includes an error threshold, a third counting threshold, a fourth counting threshold, and a first time window;

[0158] The reporting conditions indicated by the performance report information are:

[0159] In any first time window, when the cumulative number of times the first event is triggered is greater than or equal to the third counting threshold, performance report information is reported, and the first event is that the difference corresponding to the third measurement result is greater than or equal to the error threshold; or,

[0160] In any first time window, when the cumulative number of times the second event is triggered is less than the fourth counting threshold, performance report information is reported, and the second event is that the difference corresponding to the third measurement result is less than the error threshold.

[0161] In a possible implementation, the performance reporting information includes a fifth counting threshold, a sixth counting threshold, a first credibility threshold, a second credibility threshold, a first duration, and a second timer;

[0162] The reporting conditions indicated by the performance report information are:

[0163] If the number of consecutive times the third event is triggered is greater than or equal to a fifth counting threshold, and / or the third event is continuously triggered within the first time period, then starting the second timer, the third event being that the credibility of the first measurement result is less than the first credibility threshold;

[0164] Before the second timer times out, if the number of consecutive triggering of the fourth event is greater than or equal to a sixth counting threshold, and / or if the fourth event is continuously triggered within the first time period, stopping the second timer, the fourth event being that the credibility of the third measurement result is greater than or equal to the second credibility threshold;

[0165] If the second timer times out, the performance report information is reported.

[0166] In a possible implementation, the performance reporting information includes a seventh counting threshold, an eighth counting threshold, a first credibility threshold, a second credibility threshold, a second duration, and a second time window;

[0167] The reporting conditions indicated by the performance report information are:

[0168] In any second time window, when the cumulative number of times the third event is triggered is greater than or equal to the seventh counting threshold, and / or the third event is continuously triggered within the second time period, performance report information is reported, and the third event is that the credibility of the first measurement result is less than the first credibility threshold; or,

[0169] Within any second time window, when the cumulative number of times the fourth event is triggered is less than the eighth counting threshold, and / or the fourth event is not continuously triggered within the second time period, performance report information is reported, and the fourth event is that the credibility of the third measurement result is greater than or equal to the second credibility threshold.

[0170] In a fifth aspect, an embodiment of the present application provides a measurement result prediction device. The device includes:

[0171] A receiving module, configured to receive configuration signaling from a network device, wherein the configuration signaling is used to indicate at least one of the following information: time domain information, frequency domain information, spatial domain information, and reporting indication information;

[0172] a processing module, configured to determine first measurement results respectively predicted for at least one first measurement object, where a resource location of the first measurement object is indicated by at least one of time domain information, frequency domain information, and spatial domain information;

[0173] The sending module is configured to send the first measurement result to the network device according to the reporting indication information.

[0174] In a sixth aspect, an embodiment of the present application provides a measurement result prediction device. The device includes:

[0175] a sending module, configured to send configuration signaling to a terminal device, wherein the configuration signaling is used to indicate at least one of the following information: time domain information, frequency domain information, spatial domain information, and reporting indication information;

[0176] A receiving module is used to receive at least one first measurement result from a terminal device, wherein the at least one first measurement result is predicted for at least one first measurement object, and the resource location of the first measurement object is indicated by at least one item of time domain information, frequency domain information, and spatial domain information.

[0177] In a seventh aspect, embodiments of the present application provide a terminal device, which may also be referred to as a terminal, user equipment (UE), mobile station (MS), mobile terminal (MT), etc. The terminal device may be a mobile phone, a smart TV, a wearable device, a tablet computer (Pad), a computer with wireless transceiver functions, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical surgery, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, etc.

[0178] The terminal device includes: a processor and a memory; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory, so that the terminal device executes the method of the first aspect or the third aspect.

[0179] In an eighth aspect, an embodiment of the present application provides a network device, which may be a base station (Base Transceiver Station, BTS) in a GSM system or a CDMA system, or a base station (NodeB, NB) in a WCDMA system, or an evolved NodeB (eNB), access point (AP) or relay station in an LTE system, or a base station in a 5G system, etc.

[0180] The network device includes: a processor and a memory; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory, so that the terminal device executes the method of the second aspect or the fourth aspect.

[0181] In a ninth aspect, an embodiment of the present application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the methods of the first to fourth aspects.

[0182] In a tenth aspect, an embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is run, it enables the computer to execute the methods of the first to fourth aspects.

[0183] In a ninth aspect, an embodiment of the present application provides a chip, the chip including a processor, the processor being used to call a computer program in a memory to execute the methods of the first and second aspects.

[0184] It should be understood that the second to tenth aspects of the present application correspond to the technical solutions of the first aspect of the present application, and the beneficial effects achieved by each aspect and the corresponding feasible implementation methods are similar and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0185] FIG1 is a schematic diagram of a communication scenario provided in an embodiment of the present application;

[0186] FIG2 is a schematic diagram of mobility measurement provided in an embodiment of the present application;

[0187] FIG3 is a functional logic diagram of an AI model provided in an embodiment of the present application;

[0188] FIG4 is a signaling interaction diagram for processing an AI model provided in an embodiment of the present application;

[0189] FIG5 is a signaling interaction diagram of a measurement result prediction method provided in an embodiment of the present application;

[0190] FIG6 is a diagram showing a resource location relationship of a measurement object according to an embodiment of the present application;

[0191] FIG7 is a schematic diagram of an implementation of reporting a first measurement result according to an embodiment of the present application;

[0192] FIG8 is a schematic diagram illustrating an implementation of triggering measurement results reporting by a measurement event according to an embodiment of the present application;

[0193] FIG9 is a second diagram showing a resource location relationship of a measurement object provided in an embodiment of the present application;

[0194] FIG10 is a diagram showing a resource location relationship of a measurement object according to an embodiment of the present application;

[0195] FIG11 is a fourth diagram showing a resource location relationship of a measurement object provided in an embodiment of the present application;

[0196] FIG12 is a fifth diagram showing a resource location relationship of measurement objects provided in an embodiment of the present application;

[0197] FIG13 is a sixth diagram showing the resource location relationship of measurement objects provided in an embodiment of the present application;

[0198] FIG14 is a seventh diagram showing a resource location relationship of a measurement object provided in an embodiment of the present application;

[0199] FIG15 is a diagram showing a resource location relationship of measurement objects according to an embodiment of the present application;

[0200] FIG16 is a ninth diagram showing a resource location relationship of measurement objects according to an embodiment of the present application;

[0201] FIG17 is a diagram showing a resource location relationship diagram of a measurement object according to an embodiment of the present application;

[0202] FIG18 is a first schematic diagram of an implementation of sending performance report information provided in an embodiment of the present application;

[0203] FIG19 is a second schematic diagram of an implementation of sending performance report information provided in an embodiment of the present application;

[0204] FIG20 is a schematic diagram of the structure of a terminal device provided in an embodiment of the present application;

[0205] Figure 21 is a structural diagram of the network device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0206] To facilitate a clear description of the technical solutions of the embodiments of the present application, some of the terms and technologies involved in the embodiments of the present application are briefly introduced below:

[0207] 1. 3GPP: 3rd Generation Partnership.

[0208] 2. Terminal device: A device that includes wireless transceiver functions and can cooperate with network devices to provide communication services to users. Specifically, terminal device can refer to user equipment (UE), access terminal, subscriber unit, subscriber station, mobile station, mobile station, remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device. For example, the terminal device can be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with wireless communication capabilities, a computing device or other processing device connected to a wireless modem, an in-vehicle device, a wearable device, a terminal device in a future 5G network or a network after 5G, etc.

[0209] 3. Network equipment: A network equipment may be an equipment used to communicate with a terminal device, for example, it may be a base station (BTS) in a global system for mobile communication (GSM) or a code division multiple access (CDMA) communication system, a base station (NodeB, NB) in a wideband code division multiple access (WCDMA) system, or an evolved base station (eNB or eNodeB) in an LTE system, or the network equipment may be a relay station, an access point, an in-vehicle device, a wearable device, a network-side device in a future 5G network or a network after 5G, or a network device in a future evolved public land mobile network (PLMN) network, etc.

[0210] The network devices involved in the embodiments of the present application may also be referred to as radio access network (RAN) devices. The RAN device is connected to the terminal device, and is used to receive data from the terminal device and send it to the core network device. The RAN device corresponds to different devices in different communication systems. For example, in the second-generation mobile communication (2th-Generation, referred to as 2G) system, it corresponds to the base station and the base station controller, in the third-generation mobile communication (5th-Generation, referred to as 3G) system, it corresponds to the base station and the radio network controller (Radio Network Controller, RNC), in the fourth-generation mobile communication (4th-Generation, referred to as 4G) system, it corresponds to the evolved base station (Evolutional Node B, eNB), and in the 5G system, it corresponds to the 5G system, such as the access network equipment in NR (for example, gNB, centralized unit CU, distributed unit DU).

[0211] 4. Mobility measurement: Mobility measurement is an important part of wireless communication networks. Terminal devices can obtain the signal quality of their own cell and neighboring cells by performing mobility measurements and report the relevant measurement results to network devices. The network devices then determine whether the terminal device should perform cell switching based on the measurement results reported by the terminal device. Mobility measurement can better support the mobility of terminal devices, perform switching and cell reselection in a timely manner, and ensure the reliability and continuity of user services.

[0212] 5. Frequency: Refers to the specific absolute frequency value, generally the center frequency of the modulating signal. Frequency is a number given to a fixed frequency.

[0213] 6. Intra-frequency measurement: The frequency of the target cell to be measured is the same as the frequency of the current serving cell.

[0214] 7. Inter-frequency measurement: The frequency of the target cell to be measured is different from the frequency of the current serving cell.

[0215] 8. Inter-RAT measurement: The network standard of the target cell to be measured is different from the network standard of the current serving cell.

[0216] 9. Other terms

[0217] In the embodiments of this application, terms such as "first" and "second" are used to distinguish between identical or similar items with substantially the same functions and effects. For example, the terms "first chip" and "second chip" are used solely to distinguish between different chips and do not define their order. Those skilled in the art will understand that terms such as "first" and "second" do not define the quantity or execution order, and do not necessarily define differences.

[0218] It should be noted that in the embodiments of this application, words such as "exemplary" or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described in this application as "exemplary" or "for example" should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0219] In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: the existence of A alone, the existence of A and B at the same time, and the existence of B alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, a--c, bc, or abc, where a, b, c can be single or multiple.

[0220] Below, with reference to FIG1 , the applicable scenarios of the measurement method in this application are described.

[0221] FIG1 is a schematic diagram of a communication scenario provided by an embodiment of the present application. Referring to FIG1 , a network device 101 and a terminal device 102 are provided. Wireless communication can be performed between the network device 101 and the terminal device 102. The terminal device 102 can communicate with at least one core network via a radio access network (RAN).

[0222] Among them, the communication system can be a Global System of Mobile communication (GSM) system, a Code Division Multiple Access (CDMA) system, a Wideband Code Division Multiple Access (WCDMA) system, a Long Term Evolution (LTE) system or a fifth-generation mobile communication (5th-Generation, 5G) system.

[0223] Correspondingly, the base station can be a base station (Base Transceiver Station, BTS) in a GSM system or a CDMA system, a base station (NodeB, NB) in a WCDMA system, an evolved NodeB (eNB), an access point (AP) or a relay station in an LTE system, or a base station in a 5G system, etc., without limitation here.

[0224] The 5G mobile communication system described in this application includes a non-standalone (NSA) 5G mobile communication system and / or a standalone (SA) 5G mobile communication system. The technical solution provided in this application can also be applied to future communication systems, such as the sixth generation mobile communication system. The communication system can also be a PLMN network, a device-to-device (D2D) network, a machine-to-machine (M2M) network, an IoT network, or other networks.

[0225] It is understandable that if the technical solutions of the embodiments of the present application are applied to other wireless communication networks, the corresponding names can also be replaced by the names of corresponding functions in other wireless communication networks.

[0226] The network architecture and business scenarios described in the embodiments of the present application are intended to more clearly illustrate the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided in the embodiments of the present application. Ordinary technicians in this field will know that with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.

[0227] Based on the above introduction, the mobility measurement is described in detail below in conjunction with FIG2 . FIG2 is a schematic diagram of the mobility measurement provided in an embodiment of the present application:

[0228] As shown in Figure 2, the current system includes a terminal device 110 and multiple network devices 120-124, wherein it is assumed that the terminal device is currently connected to the network device 120 (for example, in radio resource control (RRC) connection mode) and operates in a service cell 130 provided by the network device 120, and the terminal device 110 can also be within the coverage area of ​​a group of adjacent cells 131-134 provided by the network devices 121-124 respectively.

[0229] In various embodiments, the network devices 120-124 may implement the same or different radio access technologies, such as NR air interface, Evolved Universal Terrestrial Radio Access (E-UTRA) air interface, Universal Terrestrial Radio Access Network (UTRAN) air interface, Global System for Mobile Communication (GSM) Enhanced Data Rate for GSM Evolution (EDGE) Radio Access Network (GERAN) air interface, and the like.

[0230] Among them, each of the network devices 120-124 can implement the functions of the next generation NodeB (gNB), evolved NodeB (eNodeB), NodeB, etc. specified by the corresponding standards developed or maintained by the 3rd Generation Partnership Project (3GPP).

[0231] Therefore, in one embodiment, the terminal device 110 may be a device that communicates with the network devices 120 - 124 according to corresponding communication protocols corresponding to the wireless access technologies used by the corresponding network devices.

[0232] In one possible implementation, the terminal device may receive a set of measurement configurations from the serving cell 130 , and the terminal device 110 performs a measurement process to measure the serving cell 130 and the neighboring cells 121 - 124 , and sends a measurement report to the network device 120 .

[0233] For example, the network device 120 may send the measurement configuration to the terminal device 110 via RRC signaling. For example, the measurement may be performed based on reference signals (RS) sent by the network devices 121-124, or may also be performed based on a reference signal sent by the network device 120.

[0234] In one possible implementation, the reference signal may be a synchronization signal block (SSB or SS / PBCH block) or a channel state information-reference signal (CSI-RS), etc., where the synchronization signal block is also called a synchronization signal / physical broadcast channel (PBCH), which may include one or more of PBCH, primary synchronization signal (PSS) and secondary synchronization signal (SSS).

[0235] In this embodiment, the measurement configuration 141 may specify a set of measurement objects (MO). In one possible implementation, the measurement objects may be in units of frequency points, and each configured measurement object is a separate frequency point with a separate measurement object identifier. For example, for E-UTRA intra-frequency measurement and inter-frequency measurement, the measurement object may be a separate E-UTRA carrier frequency.

[0236] Among them, the type of MO can be, for example, CSI-RS measurement, then the CSI-RS measurement can be configured in the MO, for example, a series of measurement-related parameters are configured in the MO, or the measurement object can also be the type of SSB measurement, then the SSB measurement can be configured in the MO, for example, a series of measurement-related parameters are configured in the MO.

[0237] The measurement configuration 141 may also specify a set of qualities to be measured corresponding to the MO. For example, the measured qualities include reference signal received power (RSRP), reference signal received quality (RSRQ), signal-to-noise and interference ratio (SINR), reference signal time difference (RSTD), etc.

[0238] In the following, with reference to Figure 2, taking the reference signal SSB as an example, intra-frequency measurement, inter-frequency measurement and inter-standard measurement are explained. In one possible implementation, according to the 3GPP NR standard, in the NR system, if the center frequency of the SSB of the serving cell indicated for measurement is the same as the center frequency of the SSB of the target cell, and the subcarrier spacing of the two SSBs is also the same, the measurement can be defined as intra-frequency measurement based on SSB. For example, the measurement of the adjacent cell 131 can be determined as intra-frequency measurement.

[0239] On the contrary, if the center frequency of the SSB of the serving cell indicated for measurement is different from the center frequency of the SSB of the target cell, the measurement can be defined as an inter-frequency measurement based on SSB. For example, the measurement of the neighboring cell 133 can be determined as an inter-frequency measurement.

[0240] In addition, referring to FIG. 2 , when the neighboring cell 134 implements a different RAT (Radio Access Technology) from that of the serving cell 130 , the measurement performed on the neighboring cell 134 may be determined as a heterogeneous measurement.

[0241] Based on the above introduction, after performing mobility measurement and obtaining measurement results, the terminal device generally needs to report the measurement results to the network device. In one implementation, the measurement configuration sent by the network device to the terminal device may also include a report configuration (Report Config NR). The report configuration may indicate that the terminal device periodically reports the measurement results, or reports the measurement results based on an event trigger. Exemplarily, the report configuration may further include a periodic configuration (periodic config) and an event trigger configuration (Event trigger config).

[0242] Among them, for the implementation method of event-triggered reporting, the network device can configure the terminal device to compare the measurement results with the preset threshold. When the measurement result is higher or lower than the preset threshold, the terminal device reports the measurement result to the network device. However, in high-frequency and high-speed mobile scenarios, because the quality of the air interface changes rapidly, it may happen that the terminal device has just reported the measurement result to the network device, but the actual situation of the air interface has changed, then the measurement result reported by the terminal device no longer conforms to the actual situation. Therefore, this scenario makes it difficult to configure the preset threshold. If the preset threshold is set unreasonably, it will lead to poor switching performance of the terminal device. For example, problems such as switching too early, switching too late, or pingpong switching may occur.

[0243] Furthermore, for the implementation of periodic reporting, if the reporting period configured for the network device is too long, the terminal device's measurement results cannot be obtained in a timely manner, which also leads to poor switching performance. If the reporting period configured for the network device is too short, the terminal device will need to report measurement results frequently, resulting in higher energy consumption of the terminal device.

[0244] In order to solve the above problem, it is possible to consider using an AI (Artificial Intelligence) algorithm to predict the measurement results of the mobility measurement, and then the network device can refer to the predicted measurement results to determine how to process the cell handover.

[0245] Therefore, using AI algorithms to predict measurement results can reduce issues such as premature handovers, late handovers, and ping-pong handovers caused by inaccurate reported measurement results in high-frequency, high-speed mobility scenarios. Furthermore, using AI algorithms to predict measurement results can reduce the frequency of mobility measurements performed by terminal devices, thereby reducing the energy consumption and complexity associated with UE measurements, effectively improving handover performance and user experience.

[0246] Building on the above introduction, the following briefly describes AI algorithms. An AI algorithm can also be understood as an AI model. For example, mobility measurements can be performed on certain measurement objects, and the resulting measurements can be fed into the AI ​​model to output predicted measurement results for the remaining measurement objects.

[0247] Here, the relevant logic of the AI ​​model is briefly introduced in combination with Figures 3 and 4. Figure 3 is a functional logic diagram of the AI ​​model provided in an embodiment of the present application, and Figure 4 is a signaling interaction diagram for processing the AI ​​model provided in an embodiment of the present application.

[0248] As shown in Figure 3, AI model processing can include four parts: model training, model management, model inference, and model storage. To support AI model processing, data collection is also required, and the aforementioned processing is then completed based on the collected data.

[0249] The following describes these four parts separately:

[0250] Referring to Figure 3 , for example, training data can be collected to perform model training on an AI model. The purpose of model training is to enable the AI ​​model to predict measurement results. Therefore, the training data can be, for example, measurement results obtained by performing mobility measurements. After model training is completed, the trained or updated model can be stored.

[0251] Furthermore, for model management, it can perform management operations on the AI ​​model based on the collected monitoring data and the output data of the model inference. Management operations may include, for example, the following:

[0252] 1. Use a model transfer / delivery request to instruct the trained AI model to be deployed to the device that needs to predict measurement results. The device where the AI ​​model is deployed can be, for example, a network device or a terminal device, which is not limited in this embodiment.

[0253] 2. Through performance feedback / retraining request, instruct the AI ​​model’s labels to be fed back into the AI ​​model’s training process, or to retrain the AI ​​model.

[0254] 3. Determine the performance of the AI ​​model based on the collected monitoring data. The monitoring data can be, for example, data reflecting the performance of the AI ​​model, such as the accuracy of the predicted measurement results output by the AI ​​model. Then, based on the performance of the AI ​​model, decide whether to perform the following operations: select, activate, deactivate, switch, or fallback.

[0255] Furthermore, model inference is the process of using an AI model. Specifically, inference data can be collected, such as measurement results of certain measurement objects, and then input into the AI ​​model to enable the AI ​​model to output predicted measurement results for the remaining measurement objects.

[0256] As shown in Figure 3 above, AI model training typically requires a significant amount of continuous computing power. Therefore, AI model training is typically deployed on network devices or servers. The model management and storage described above are also typically deployed on network devices or servers.

[0257] The model reasoning of the AI ​​model, that is, the use of the AI ​​model, can be deployed in network equipment or terminal equipment according to actual needs. This embodiment does not impose any restrictions on this.

[0258] The following takes the deployment of AI model inference in a terminal device as an example, and uses Figure 4 to illustrate the interaction process of the AI ​​model between the network device and the terminal device.

[0259] As shown in Figure 4, the interaction process includes:

[0260] 1. The network device determines whether to start AI model training.

[0261] 2. The network device sends the configuration for collecting auxiliary information to the terminal device.

[0262] 3. The terminal device sends auxiliary information to the network device.

[0263] The network device can, for example, determine whether to start AI model training based on the usage requirements of the AI ​​model. When it is determined that it is necessary to start, the network device can collect relevant configurations of auxiliary information from the terminal device, so that the terminal device collects the auxiliary information. The auxiliary information may include data related to model training.

[0264] The terminal device then collects auxiliary information according to the configuration of the network device and sends the collected auxiliary information to the network device.

[0265] 4. Network devices and terminal devices transmit models.

[0266] Among them, after the model training is completed, the network device can, for example, send the trained AI model to the terminal device, and the terminal device can also send the relevant information required for the AI ​​model deployment to the network device.

[0267] 5. The terminal device sends UE capability information to the network device.

[0268] 6. The network device determines whether the terminal device is suitable for the AI ​​model based on the UE capability information.

[0269] 7. It is understandable that there may be multiple AI models, for example. The judgment here can be understood as being executed for a specific AI model, that is, determining whether the terminal device is applicable to a specific AI model.

[0270] When it is determined that the terminal device is applicable, the network device then sends the configuration information of the AI ​​model to the terminal device, where the configuration information of the AI ​​model may include, for example, a performance monitoring configuration.

[0271] 8. The network device determines whether to start the AI ​​model.

[0272] 9. The network device sends an AI model activation instruction to the terminal device.

[0273] The above describes the transmission and configuration of the AI ​​model. However, the AI ​​model has not actually been activated yet. The network device can further determine whether to start the AI ​​model based on current actual needs.

[0274] When it is determined that the AI ​​model needs to be started, the network device sends an AI model activation instruction to the terminal device to activate the AI ​​model deployed in the terminal device.

[0275] 10. The terminal device performs model inference.

[0276] Once the AI ​​model in the terminal device is activated, the terminal device can perform the model inference process, that is, predict the measurement results of certain measurement objects based on the AI ​​model.

[0277] 11. The terminal device executes the performance evaluation decision of the AI ​​model.

[0278] 12. The terminal device sends the performance monitoring results of the AI ​​model to the network device.

[0279] At the same time, the terminal device can also determine the performance monitoring results of the AI ​​model based on the output of the AI ​​model, where the performance monitoring results can also be understood as the management data introduced above.

[0280] The terminal device can further determine whether it is necessary to report the performance evaluation results to the network device. When it is determined that reporting is necessary, the terminal device can send the performance monitoring results of the AI ​​model to the network device.

[0281] 13. Network equipment manages AI models based on performance monitoring results.

[0282] 14. The network device sends management instructions of the AI ​​model to the terminal device.

[0283] Afterwards, the network device can determine whether it is necessary to perform management operations on the AI ​​model based on the performance monitoring results, where the management operations can include updating, rolling back, activating or deactivating the AI ​​model.

[0284] When it is determined that a management operation needs to be performed, the network device sends a management instruction to the terminal device to instruct the specific processing of the management operation introduced above on the AI ​​model deployed in the terminal device.

[0285] Based on the above introduction, it is also necessary to explain that in addition to being used to predict the measurement results introduced above, the AI ​​algorithm can also be used to predict CSI compression that requires cooperation between terminal devices and network devices, beam prediction in the time domain and frequency domain, prediction of measurement events, and prediction of mobility failure events, etc., in order to improve the algorithm performance of air interface transmission in complex scenarios, such as multi-antenna scenarios (massive MIMO).

[0286] The technical solution of this application mainly involves the part of measurement result prediction, so as to effectively reduce measurements and improve switching performance, thereby improving the user experience in high-frequency and high-speed mobile scenarios.

[0287] After introducing AI algorithms to predict measurement results, it is necessary to consider how to configure the input and output of the AI ​​algorithm, as well as how to report the measured and predicted measurement results. There are currently no effective solutions to these problems.

[0288] To address this problem, this application proposes a measurement result prediction method to solve the configuration problems related to the introduction of the AI ​​algorithm, so that the AI ​​algorithm can effectively predict the measurement results, thereby achieving the various technical effects introduced above.

[0289] The measurement result prediction method proposed in this application is described below with reference to specific embodiments. In the following embodiments, the AI ​​model described above is referred to as a prediction model. It is understood that in actual implementation, the name of the model can be selected based on actual needs, as long as the model is used to predict measurement results. This embodiment does not impose any restrictions on this.

[0290] First, an introduction is made with reference to FIG5 , which is a signaling interaction diagram of the measurement result prediction method provided in an embodiment of the present application.

[0291] As shown in FIG5 , the method includes:

[0292] S501. A network device sends a configuration signaling to a terminal device, where the configuration signaling is used to indicate at least one of the following information: time domain information, frequency domain information, spatial domain information, and reporting indication information.

[0293] The network device may send configuration signaling related to the prediction model to the terminal device, and the configuration signaling may include at least one of the following information: time domain information, frequency domain information, spatial domain information, and reporting indication information.

[0294] With reference to the above introduction, it can be understood that when making predictions based on measurement results, the measurement results of certain measurement objects are actually input into the prediction model to obtain the measurement results of another part of the measurement objects. In this embodiment, the measurement object for which the measurement results need to be predicted is referred to as the first measurement object, and the measurement object for which mobility measurement is performed to obtain the measurement results input into the prediction model is referred to as the second measurement object.

[0295] In one implementation, the time domain information described above is used to indicate the time domain location of the first measurement object, the frequency domain information is used to indicate the frequency domain location of the first measurement object, and the spatial domain information is used to indicate the spatial domain location of the first measurement object. The resource location of the first measurement object can be determined by using the indications of the time domain information, frequency domain information, and spatial domain information.

[0296] Furthermore, the configuration signaling also includes reporting indication information, where the reporting information is used to indicate a reporting method for the measurement results. For example, the reporting indication information may indicate which measurement results are specifically reported (the measurement results herein may include a predicted measurement result for the first measurement object and a measurement result obtained by performing a mobility measurement for the second measurement object), may indicate a time for reporting the measurement results, and may indicate whether the measurement results reported are at a cell level or a beam level. In actual implementation, the content specifically indicated by the reporting indication information may be expanded according to actual needs, as long as the reporting indication information can be used to indicate relevant content for measurement result reporting.

[0297] S502. The terminal device determines first measurement results predicted for at least one first measurement object, where a resource location of the first measurement object is indicated by at least one of time domain information, frequency domain information, and spatial domain information.

[0298] After receiving the configuration signaling, the terminal device can determine which specific measurement objects are the first measurement objects that need to be predicted for measurement results based on the configuration signaling, and then further determine the first measurement results of each first measurement object, where the first measurement result is the measurement result predicted for the first measurement object.

[0299] In one implementation, the terminal device may obtain a second measurement result obtained by performing a mobility measurement on the second measurement object, and then input the second measurement result into the prediction model to obtain a first measurement result for each of the at least one first measurement object. In this embodiment, the first measurement result and the second measurement result may include, for example, at least one of RSRP, RSRQ, and SINR.

[0300] It can be understood that in order to predict the first measurement result of the first measurement object based on the second measurement result of the second measurement object, it is necessary to ensure that the second measurement result has been obtained before predicting the first measurement result of the first measurement object.

[0301] Therefore, in this embodiment, the time domain location of the second measurement object is generally before the time domain location of the first measurement object, where the measurement location of the second measurement object is determined, for example, based on the measurement configuration of the mobility measurement described above. In other words, the terminal device can still use the existing configuration method when performing mobility measurements.

[0302] With reference to the above description, it can be understood that the configuration signaling may specifically include at least one of time domain information, frequency domain information, and spatial domain information. Therefore, the resource location of the first measurement object is indicated by at least one of the time domain information, frequency domain information, and spatial domain information described above. Specifically, for any resource location indication information included in the configuration signaling, the resource location of the corresponding first measurement object is indicated by the resource location indication information included in the configuration information.

[0303] Exemplarily, when the configuration signaling includes only time domain information, the time domain position of the first measurement object is indicated by the time domain information. And / or, when the configuration signaling includes frequency domain information, the frequency domain position of the first measurement object is indicated by the frequency domain information. And / or, when the configuration signaling includes spatial domain information, the spatial domain position of the first measurement object is indicated by the spatial domain information.

[0304] In this embodiment, the terminal device can effectively determine the first measurement object for which measurement result prediction is required based on the configuration signaling, and then further determine the measurement result of the first measurement object based on the prediction model, thereby effectively realizing the configuration of the input and output of the prediction model.

[0305] S503. The terminal device sends the first measurement result to the network device according to the reporting instruction information.

[0306] After determining the first measurement result of at least one measurement object, the terminal device may further send at least one first measurement result to the network device according to the reporting indication information included in the configuration signaling.

[0307] The reporting indication information may indicate which first measurement results are to be reported, when to report the first measurement results, and whether the first measurement object is at the beam level or the cell level. Therefore, based on the reporting indication information, the terminal device can clearly determine how and when to report the first measurement result, thereby effectively implementing the reporting configuration of the predicted measurement result.

[0308] The measurement result prediction method provided in the embodiment of the present application includes: a network device sends a configuration signaling to a terminal device, wherein the configuration signaling is used to indicate at least one of the following information: time domain information, frequency domain information, spatial domain information, and reporting indication information. The terminal device determines the first measurement result predicted for at least one first measurement object, and the resource location of the first measurement object is indicated by at least one of the time domain information, frequency domain information, and spatial domain information. The terminal device sends the first measurement result to the network device according to the reporting indication information. The network device sends a configuration signaling to the terminal device to instruct the terminal device how to perform the prediction of the measurement result and how to report the predicted first measurement result, so as to effectively implement the relevant configuration for predicting the measurement result, to ensure that the terminal device can effectively predict the measurement result, and thus achieve the various beneficial effects introduced above.

[0309] With reference to the above embodiments, it can be determined that the configuration information may include at least one of time domain information, frequency domain information, and spatial domain information. Specifically, the following situations may exist:

[0310] Case 1: The configuration information only includes time domain information;

[0311] Case 2: The configuration information only includes frequency domain information;

[0312] Case 3: The configuration information only includes airspace information;

[0313] Case 4: The configuration information includes time domain information and frequency domain information;

[0314] Case 5: The configuration information includes time domain information and spatial domain information;

[0315] Case 6: The configuration information includes frequency domain information and spatial domain information;

[0316] Case 7: The configuration information includes time domain information, frequency domain information, and spatial domain information.

[0317] The following describes in detail how to predict the first measurement result of the first measurement object and report the first measurement result in these situations.

[0318] It should also be noted in advance that when the network device configures reporting indication information, for example, a unified reporting indication information can be set for situations 1 to 7 described above, so that no matter which configuration is reported, the measurement results obtained use the same reporting indication information. This implementation method can effectively save signaling overhead.

[0319] Alternatively, corresponding reporting indication information may be set for each of the above-described situations 1 to 7, so that for each configuration situation, how to report the measurement results can be configured according to actual needs. This implementation method can effectively improve the reporting flexibility of the measurement results.

[0320] The following description will be made by taking the example of respectively setting the corresponding reporting indication information for each situation, and the implementation of uniformly setting the reporting indication information is similar.

[0321] Furthermore, for the above-mentioned cases 1 to 7, for example, a single prediction model can be uniformly adopted so that regardless of the configuration, the same prediction model is uniformly adopted to output the predicted measurement results. This implementation method can effectively save the cost of model deployment.

[0322] Alternatively, the corresponding prediction models may be trained and deployed respectively for the above-described cases 1 to 7. This implementation method can train the prediction models in a targeted manner, thereby improving the accuracy of the predicted measurement results.

[0323] The following example illustrates how to deploy the corresponding prediction models for each case. The implementation of setting up the prediction models uniformly is similar.

[0324] Case 1: The configuration information only includes time domain information

[0325] The time domain information is used to indicate at least one moment at which measurement result prediction needs to be performed. For example, the moment at which measurement result prediction needs to be performed can be expressed as moment N+x.

[0326] In this case, it can be understood that the measurement result at time N+x is predicted based on the measurement result at time N. Time N is the time corresponding to the time domain position of the second measurement object, time N+x can be understood as the time corresponding to the time domain position of any first measurement object, and x is a value greater than 0.

[0327] Furthermore, the frequency domain position of the first measurement object may be the same as the frequency domain position of the second measurement object, and the spatial domain position of the first measurement object may be the same as the spatial domain position of the second measurement object. Based on this, the specific resource location of the first measurement object for which measurement result prediction is required can be clarified.

[0328] The resource location of the first measurement object will be further described below in conjunction with FIG6 , which is a first diagram illustrating the resource location relationship of the measurement objects provided in an embodiment of the present application.

[0329] FIG6 shows a second measurement object 601 , a first measurement object 602 , a first measurement object 603 , and a first measurement object 604 .

[0330] The time corresponding to the time domain position of the second measurement object 601 is time N shown in FIG6 . The time corresponding to the time domain positions of the first measurement objects 602 through 604 (corresponding to at least one of the first measurement objects described above) is, in order: time N+i, time N+2i, time N+3i, ..., time N+mi. Where i is the first step length and is a value greater than or equal to 0. m is the number of first measurement objects (referred to as the first number in this embodiment) and is an integer greater than or equal to 1.

[0331] Furthermore, assuming that the frequency domain position of the second measurement object 601 is the frequency domain position a shown in FIG6 , the frequency domain position of each first measurement object is also the frequency domain position a shown in FIG6 . The frequency domain position in this embodiment can be specifically understood as the position of a certain frequency point, or the position of a certain frequency band, or the position of a certain BWP, etc., and this embodiment does not limit this.

[0332] Furthermore, the spatial location in this embodiment may be the cell or beam where the measurement object is located. Assuming that the spatial location of the second measurement object 601 is cell 1 as shown in FIG6 , the spatial location of each first measurement object is also cell 1 as shown in FIG6 . Cell 1 may be the serving cell accessed by the terminal device, or may be a neighboring cell of the serving cell.

[0333] Based on the example of Figure 6, it can be understood that when the configuration signaling only includes time domain information, the time moments for which measurement results are to be predicted can be determined based on the time domain information, and the frequency domain position for which measurement results are to be predicted can be determined based on the frequency domain position of the second measurement object, and the spatial domain position for which measurement results are to be predicted can be determined based on the spatial domain position of the second measurement object, thereby clarifying the specific resource location of at least one first measurement object.

[0334] The following further describes the manner in which the time domain information indicates the time when the measurement result prediction is required.

[0335] In one implementation, the time domain information may directly include each moment for which measurement result prediction is required, that is, the time domain information directly includes the N+i moment, N+2i moment, N+3i moment, ..., N+mi moment introduced above.

[0336] Alternatively, the time domain information may also indicate the first step length i and the first number m.

[0337] Here we further introduce the configuration method of the first step length i and the first number m introduced above:

[0338] For the first step length i, in one implementation, the time domain information may indicate the first step length i. For example, the time domain information may include the first step length i, or the time domain information may include a corresponding parameter, which is used to indicate the first step length i. This embodiment does not limit the implementation method of the time domain information indicating the first step length i.

[0339] Alternatively, the first step length i may be pre-negotiated between the terminal device and the network device and fixedly configured in the terminal device. This embodiment does not limit the indication method of the first step length i.

[0340] Regarding the first number m, in one implementation, the first number m may be indicated by time domain information. Alternatively, the terminal device and the network device may pre-negotiate the first number m, and the implementation thereof is similar to the implementation of the first step length described above.

[0341] Alternatively, the first number m may also be determined according to the number of first measurement results output by the prediction model. For example, the number of first prediction results output by the prediction model may be used as the first number m.

[0342] The prediction model may, for example, fixedly output m first measurement results.

[0343] Alternatively, the prediction model will sequentially predict the first measurement results at time N+i, time N+2i, and so on, until the reliability of the first measurement results predicted by the prediction model is less than a preset threshold. Typically, the later the time of the first measurement object, the lower the reliability of the corresponding first measurement result. Therefore, the reliability of the first measurement result tends to decrease monotonically with increasing time. When the reliability of the first measurement result is less than the preset threshold, the prediction model stops predicting and outputs multiple first measurement results, each of which has a reliability greater than the preset threshold.

[0344] In this implementation, the number of first measurement results output by the prediction model is not fixed, and depends on the credibility of the actual output prediction results. Therefore, in this implementation, the first number m can be dynamically determined based on the number of first measurement results specifically output by the prediction model.

[0345] Before the prediction model outputs the first measurement result, the terminal device only knows that it needs to determine the measurement results for each time instant starting at time N and sequentially spaced by the first step length i, but does not know the specific time instant to which the determination ends. Only after the prediction model outputs the first measurement result can the terminal device determine the first number m, thereby fully determining the specific items included in the predicted first measurement objects.

[0346] Furthermore, the time N corresponding to the time domain position of the second measurement object may be an absolute time. For example, if the time domain position of the second measurement object is 100ms, then the time N is 100ms.

[0347] Assuming that the first step length i is 10 ms and m is 10, the time domain positions of the at least one first measurement object can be determined as follows: 110 ms, 120 ms, 130 ms, 140 ms, ..., 190 ms, and 200 ms. This means that the measurement result at time 110 ms needs to be predicted, and the measurement result at time 120 ms needs to be predicted, and so on.

[0348] Alternatively, the moment N corresponding to the time domain position of the second measurement object can also be a relative moment. For example, the moment at which the time domain position of the second measurement object is located is 100ms, but the moment at which the time domain position of the second measurement object is located can be regarded as the starting moment for calculating the first step length. For example, the moment N can be recorded as 0ms (or any value).

[0349] Assuming that the first step length i is 10 ms and m is 10, the time domain positions of at least one first measurement object can be determined to be: 10 ms, 20 ms, 30 ms, 40 ms, ..., 90 ms, and 100 ms, respectively. It can be understood that the time corresponding to each first measurement object's time domain position is also a relative time, relative to the time N of the second measurement object. This means that the measurement result for the time 10 ms after the time domain position of the second measurement object needs to be predicted, and the measurement result for the time 20 ms after the time domain position of the second measurement object needs to be predicted, and so on.

[0350] In this embodiment, there is no particular restriction on whether to express the moments corresponding to the time domain positions of the first measurement object and the second measurement object as absolute moments or relative moments, and the choice can be made based on actual needs.

[0351] Furthermore, the measurement object in this embodiment may be an SSB. Accordingly, when the terminal device predicts the measurement result, it may predict a cell-level measurement result (that is, determine a measurement result for one cell). Alternatively, it may predict an SSB-level measurement result (that is, determine a measurement result for one SSB), where the SSB-level measurement result may also be understood as a beam-level measurement result.

[0352] Alternatively, the measurement object in this embodiment may also be CSI-RS. Accordingly, when the terminal device predicts the measurement results, it may predict the cell-level measurement results, or it may also predict the CSI-RS-level measurement results (that is, determine a measurement result for one CSI-RS), where the CSI-RS-level measurement results may also be understood as beam-level measurement results.

[0353] The following describes the time domain prediction performed by the terminal device when the measurement objects are SSB and CSI-RS, with reference to the example of FIG6 :

[0354] 1. When the measurement object is SSB and the cell-level measurement results need to be predicted

[0355] The terminal device needs to predict the first measurement result of cell 1 at time N+x (the predicted frequency domain position is also frequency domain position a) based on the second measurement result of cell 1 at time N (the specific measured frequency domain position is frequency domain position a), where the value of x is i, 2i,…, mi in sequence.

[0356] When determining a cell measurement result, specific measurements are typically performed on a beam, and the beam measurement results are then converted into cell measurement results. For example, the highest beam measurement result may be selected as the cell measurement result, or the average beam measurement result may be selected as the cell measurement result. In this embodiment, whether the highest beam measurement result or the average beam measurement result is selected can be implemented in the same way as in the prior art, or can be set based on actual needs.

[0357] 2. When the measurement object is SSB and the SSB level measurement result needs to be predicted

[0358] The terminal device needs to predict the first measurement result of a certain SSB in cell 1 at time N+x based on the second measurement result measured for the SSB in cell 1 at time N, where the value of x is i, 2i, ..., mi in sequence.

[0359] In the current example, the frequency domain position of the SSB is the frequency domain position a described above.

[0360] 3. When the measurement object is CSI-RS and the cell-level measurement results need to be predicted

[0361] The implementation method is similar to the method of measuring the SSB as the measurement object and predicting the cell-level measurement results, which will not be repeated here.

[0362] 4. When the measurement object is CSI-RS and the CSI-RS level measurement results need to be predicted

[0363] The terminal device needs to predict the first measurement result of a CSI-RS in cell 1 at time N+x based on the second measurement result measured for a CSI-RS in cell 1 at time N, where the value of x is i, 2i, ..., mi.

[0364] In the current example, the frequency domain position of the CSI-RS is the frequency domain position a described above.

[0365] The above introduces the relevant implementation of the time domain dimension prediction performed by the terminal device. After predicting the first measurement result of at least one first measurement object, the terminal device also needs to send the first measurement result to the network device according to the reporting indication information.

[0366] The implementation of reporting the first measurement result corresponding to Case 1 is described below with reference to FIG7 . FIG7 is a schematic diagram of the implementation of reporting the first measurement result provided in an embodiment of the present application.

[0367] As shown in Figure 7, assuming that the second measurement result of the second measurement object 601 is input into the prediction model, the prediction model can then at least output the first measurement result of the first measurement object 602, the first measurement result of the first measurement object 603, and the first measurement result of the first measurement object 604 shown in Figure 7.

[0368] At the same time, each first measurement result has its own corresponding credibility. In the example of Figure 7, the credibility of the first measurement result of the first measurement object 602 is 90%, the credibility of the first measurement result of the first measurement object 603 is 85%, and the credibility of the first measurement result of the first measurement object 604 is 60%.

[0369] In this embodiment, it is assumed that the reporting instruction information is the reporting instruction information set for situation 1, wherein the reporting methods indicated by the reporting instruction information may include, for example, the following:

[0370] Reporting method 1: reporting the first measurement data of each first measurement object.

[0371] 7 , the terminal device needs to send the first measurement result of the first measurement object 602, the first measurement result of the first measurement object 603, and the first measurement result of the first measurement object 604 to the network device. It is understood that there may be other first measurement results that need to be reported, which are not all shown in FIG7 .

[0372] Reporting method 2: reporting the first measurement result whose credibility is greater than the second threshold.

[0373] The second threshold may be included in the configuration signaling, or the second threshold may be pre-negotiated between the network device and the terminal device. This embodiment does not limit the indication method of the second threshold.

[0374] In the example of FIG7 , assuming that the second threshold is set to 80%, the terminal device needs to send the first measurement result of the first measurement object 602 and the first measurement result of the first measurement object 603 to the network device. It is understood that there may be other first measurement results that need to be reported, which are not all shown in FIG7 .

[0375] Reporting method 3: if a measurement event is determined to be triggered according to at least one first measurement result, the first event information is reported.

[0376] Among them, each measurement event corresponds to its own preset threshold. For any first measurement result, the terminal device can determine whether the first measurement result meets the preset threshold corresponding to the measurement event, for example, specifically determine whether the first measurement result is greater than or less than the preset threshold corresponding to the measurement event.

[0377] If there is a first measurement result that meets the preset threshold corresponding to the measurement event, the terminal device can determine that the measurement event is expected to be triggered at the first moment corresponding to the first measurement result, so the terminal device can generate first event information, and the first event information is used to indicate that the measurement event is expected to be triggered at the first moment.

[0378] In the example of FIG7 , assuming that the first measurement result of the first measurement object 603 meets the preset threshold for measurement event 1, first event information may be generated, where the first event information indicates that measurement event 1 is expected to be triggered at time N+2i. It will be appreciated that there may be other first measurement results that meet the preset threshold, and not all of them are shown in FIG7 .

[0379] In the current reporting method, in addition to sending the first event information to the network device, the terminal device may also, for example, simultaneously send the first measurement result to the network device. Alternatively, the terminal device may, for example, report all first measurement results to the network device using the aforementioned reporting method 1, or may, using the aforementioned reporting method 2, report only first measurement results whose credibility exceeds a second threshold to the network device.

[0380] For the reporting methods 1 to 3 described above, the terminal device may send the credibility of the first measurement result to the network device while sending the first measurement result to the network device, so that the network device can determine the credibility of each first measurement result.

[0381] In addition, in addition to instructing the terminal device to send the first measurement result to the network device in accordance with any of the reporting methods described above, the reporting indication information can also instruct the terminal device to send the second measurement result obtained by measurement to the network device, so as to comprehensively report the measured measurement results and the predicted measurement results to the network device.

[0382] In one possible implementation, while the terminal device sends the first measurement result and the second measurement result to the network device, it may also send first indication information to the network device, where the first indication information is used to indicate that the first measurement result is predicted and the second measurement result is measured. This allows the network device to effectively distinguish whether each measurement result is measured or predicted.

[0383] Furthermore, the reporting indication information may further indicate the timing for the terminal device to report the first measurement result to the network device.

[0384] For example, the reporting indication information may instruct the terminal device to periodically report the first measurement result, and the reporting indication information may, for example, indicate a first period for reporting the first measurement result.

[0385] Alternatively, the reporting indication information may instruct the terminal device to report the first measurement result when certain measurement events are triggered. The reporting indication information may, for example, indicate the measurement event that triggers the reporting of the first measurement result.

[0386] In the traditional measurement result reporting based on measurement event triggering, the terminal device usually needs to start the TTT (TimeToTrig, triggering event) timing after determining that the measurement event is triggered. If it is determined that the measurement results of the terminal device within the TTT duration can trigger the corresponding measurement event, the terminal device will report the corresponding measurement results.

[0387] Accordingly, in this embodiment, because the terminal device predicts the future first measurement result, when the terminal device determines, based on the first measurement result or the second measurement result, that the measurement event indicated by the trigger reporting indication information is to be triggered, the terminal device may initiate TTT. Thereafter, the terminal device further determines whether each measurement result (which may include the first measurement result and the second measurement result) within the duration of the TTT can trigger the corresponding measurement event. Only when the determination is yes does the terminal device report the first measurement result and the second measurement result. Otherwise, the terminal device does not trigger the reporting of the first measurement result and the second measurement result.

[0388] The following can be understood in conjunction with Figure 8, which is a schematic diagram of an implementation of a measurement event triggering the reporting of measurement results provided in an embodiment of the present application. As shown in Figure 8 (a), it is assumed that the terminal device measures and obtains the second measurement result at time N, and predicts the first measurement results at time N+i, time N+2i, and time N+3i.

[0389] At the same time, assuming that the second measurement result at time N triggers measurement event A3 (the measurement event indicated by the reporting indication information), the terminal device can start the TTT shown in (a) of Figure 8. The measurement results within the duration of TTT include the first measurement result at time N+i, the first measurement result at time N+2i, and the first measurement result at time N+3i. Assuming that these three first measurement results all trigger measurement event A3, and the latest moment predicted by the terminal device (i.e., moment N+3i) is before the timing end moment of TTT, the terminal device can determine that the measurement results all trigger corresponding measurement events within the duration coverage of TTT, and the terminal device can report the first measurement result and the second measurement result.

[0390] Alternatively, as shown in (b) of Figure 8 , assuming that the second measurement result at time N triggers measurement event A3 (the measurement event indicated by the reporting indication information), the terminal device can start the TTT shown in Figure 8 . The measurement results within the duration of TTT include the first measurement result at time N+i, the first measurement result at time N+2i, and the first measurement result at time N+3i. Assuming that the first measurement result at time N+3i does not trigger measurement event A3, the requirement that all measurement results trigger measurement event A3 within the duration of TTT is not met, so the terminal device will not report the first measurement result and the second measurement result. Alternatively, assuming that the timing end time of TTT exceeds the latest time predicted by the terminal device (i.e., time N+3i), there is a period of measurement results that the terminal device did not predict. Therefore, the terminal device cannot determine whether the measurement results all trigger corresponding measurement events within the coverage range of TTT, so the terminal device will not report the first measurement result and the second measurement result.

[0391] Based on the above description, it can be determined that when the terminal reports the first measurement result at the corresponding time, it can optionally also report the second measurement result at the same time. By indicating the reporting method and reporting timing through the reporting indication information, the terminal device can effectively determine the relevant configuration for reporting the measurement result.

[0392] Case 2: Configuration information only includes frequency domain information

[0393] The frequency domain information may indicate at least one first frequency domain position to be predicted, where the frequency domain position of the at least one first measurement object is each first frequency domain position. The frequency domain information is also used to indicate a second frequency domain position to be measured, where the frequency domain position of the second measurement object is the second frequency domain position.

[0394] In this case, it can be understood that the measurement result of the first frequency domain position is predicted based on the measurement result of the second frequency domain position.

[0395] Furthermore, the time domain location of the first measurement object may be the same as the time domain location of the second measurement object, and the spatial location of the first measurement object may be the same as the spatial location of the second measurement object. Based on this, the specific resource location of the first measurement object for which measurement result prediction is required can be clarified.

[0396] There are multiple possible implementations of the first frequency domain position in this embodiment, which are respectively described below with reference to specific diagrams.

[0397] In one implementation, the first frequency domain position and the second frequency domain position may be frequency domain positions in the same cell, and the first frequency domain position and the second frequency domain position do not overlap.

[0398] This implementation is described below in conjunction with FIG9 , which is a second diagram of the resource location relationship of the measurement object provided in an embodiment of the present application.

[0399] Figure 9 shows a second measurement object 901, a first measurement object 902, a first measurement object 903, and a first measurement object 904. It is understood that there may be other first measurement objects, and Figure 9 is only an example.

[0400] Assume that the frequency domain position of the second measurement object 901 is frequency domain position a (i.e., the second frequency domain position) shown in Figure 9, the frequency domain position of the first measurement object 902 is frequency domain position b shown in Figure 9, the frequency domain position of the first measurement object 903 is frequency domain position c shown in Figure 9, and the frequency domain position of the first measurement object 904 is frequency domain position d shown in Figure 9, where frequency domain positions b, c, and d are all the first frequency domain positions described above. The first frequency domain position and the second frequency domain position do not overlap, or in other words, the first frequency domain position and the second frequency domain position are independent of each other.

[0401] Furthermore, the time corresponding to the time domain position of the second measurement object 901 is time N shown in Figure 9, and the time corresponding to the time domain position of each first measurement object is also time N shown in Figure 9. The detailed description of time N can be referred to the above embodiment and will not be repeated here.

[0402] Furthermore, the spatial location in this embodiment may be the cell or beam where the measurement object is located. Assuming that the spatial location of the second measurement object 901 is cell 1 as shown in FIG9 , the spatial location of each first measurement object is also cell 1 as shown in FIG9 . Cell 1 may be the serving cell accessed by the terminal device, or may be a neighboring cell of the serving cell.

[0403] In another implementation, the first frequency domain position and the second frequency domain position may be frequency domain positions in the same cell, and the first frequency domain position is a broadband frequency domain position corresponding to the second frequency domain position.

[0404] This implementation method is described below in conjunction with Figure 10, which is a resource location relationship diagram of the measurement object provided in an embodiment of the present application.

[0405] FIG10 shows a second measurement object 901 , a first measurement object 1002 , and a first measurement object 1003 .

[0406] Assume that the second frequency domain position of the second measurement object 1001 is the frequency domain position e shown in Figure 10, and the first frequency domain position of the first measurement object 1002 is the frequency domain position f shown in Figure 10. The frequency domain positions in the current example can be understood as frequency bands. The second frequency domain position belongs to the first frequency domain position. More specifically, the first frequency domain position is the broadband frequency domain position corresponding to the second frequency domain position.

[0407] For example, assuming that the frequency domain range of a frequency domain object in cell 1 is 0-800kHz, and the second frequency domain position is 100kHz-200kHz, then when performing mobility measurement, only the frequency domain range of 100kHz in the frequency domain object is measured. Then, the broadband frequency domain position corresponding to the second frequency domain position can be configured as the first frequency domain position, where the broadband frequency domain position can be understood as the entire frequency domain range of the frequency domain object to which the second frequency domain position belongs. Therefore, the first frequency domain position is 0-800kHz.

[0408] Furthermore, the time-frequency position and spatial position of the second measurement object and the first measurement object are similar to those described in FIG9 above and will not be repeated here.

[0409] This implementation can be understood as predicting the measurement result of the broadband frequency domain position to which the second frequency domain position belongs based on the measurement result of the second frequency domain position, thereby specifically achieving the purpose of predicting the measurement result of the broadband frequency domain position.

[0410] In another implementation, the first frequency domain position and the second frequency domain position may also be frequency domain positions in different cells. For example, the first frequency domain position is the frequency domain position in the first cell, and the second frequency domain position is the frequency domain position in the second cell. The first cell and the second cell are located in the same coverage area, so the spatial domain positions of the first measurement object and the second measurement object are still the same, and only the frequency domain positions are different. Therefore, the current implementation is still a prediction of the measurement results in the frequency domain dimension.

[0411] This implementation method is described below in conjunction with Figure 11, which is a fourth diagram of the resource location relationship of the measurement object provided in an embodiment of the present application.

[0412] FIG11 shows a second measurement object 1101, a first measurement object 1102, a first measurement object 1103, and a first measurement object 1104. It is understood that there may be other first measurement objects, and FIG11 is only an example.

[0413] The frequency domain position and time domain position of the second measurement object 1101 and the first measurement objects 1102 to 1104 are similar to those described in FIG9 , and are not described again here.

[0414] The difference from FIG. 9 is that the second measurement object is the frequency domain position in cell 1, and the first measurement object is the frequency domain position in cell 2, where cell 1 and cell 2 are located in the same coverage area.

[0415] In this embodiment, FIG11 is used as an example to illustrate how to predict the measurement results of multiple remaining frequency domain positions in the first cell based on the measurement result of a certain frequency domain position in the second cell. A more detailed implementation can be understood with reference to the description of FIG9 above. The difference between these two implementations is that the implementation described in FIG9 is based on the first measurement object and the second measurement object being in the same cell, while the implementation described in FIG11 is based on the first measurement object and the second measurement object being in different cells with the same coverage.

[0416] Alternatively, for example, based on the measurement result of a certain frequency domain position in the second cell, the measurement result of the broadband frequency domain position corresponding to the frequency domain position in the first cell can be predicted. A more detailed implementation method can be understood with reference to the content described in Figure 10 above. The difference between the two implementation methods is that the implementation method described in Figure 10 is that the first measurement object and the second measurement object are in the same cell, while the implementation method described in Figure 11 is that the first measurement object and the second measurement object are in different cells with the same coverage.

[0417] Furthermore, in this embodiment, the frequencies of the first cell and the second cell may be different. This implementation may be understood as predicting the measurement results of the first cell with different frequencies and the same coverage based on the measurement results of the second cell.

[0418] Alternatively, the systems of the first cell and the second cell may be different. In this case, this implementation method may be understood as predicting the measurement results of the first cell with the same coverage in a different system based on the measurement results of the second cell.

[0419] Based on the examples introduced in Figures 9 to 11 above, it can be understood that when the configuration signaling only includes frequency domain information, it can be determined which frequency domain positions to predict the measurement results for based on the frequency domain information, and it can be determined which time domain position to predict the measurement results for based on the time domain position of the second measurement object, and it can be determined which spatial domain position to predict the measurement results for based on the spatial domain position of the second measurement object, so that the specific resource location of at least one first measurement object can be clarified.

[0420] Here, the implementation manner in which the frequency domain information indicates at least one first frequency domain position in this embodiment is further introduced:

[0421] In one implementation, the frequency domain information may directly include at least one first frequency domain position.

[0422] Alternatively, the frequency domain information may further include a second step length and a second quantity, and the terminal device may then determine at least one first frequency domain position based on the second step length and the second quantity. However, it is understood that this approach is not applicable to the implementation of the predicted broadband measurement results described above, because the broadband frequency domain position is a fixed frequency domain position corresponding to the second frequency domain position, and there is no such thing as a step length and a quantity. The implementation method using the second step length and the second quantity is applicable to the other two implementation methods.

[0423] The frequency band length between each first frequency domain position can be, for example, the second step length, and the frequency band length between the frontmost first frequency domain position and the second frequency domain position is also the second step length, and the number of first frequency domain positions is the second number.

[0424] Optionally, the second step size and / or the second number may be negotiated between the terminal device and the network device. Furthermore, the second number may be determined based on the number of first measurement results output by the prediction model, where the prediction model only outputs first measurement results whose credibility is greater than a first threshold. The implementation of determining the second number based on the number of first measurement results output by the prediction model can be found in the description of the above-mentioned embodiment of time-domain prediction and will not be further elaborated here.

[0425] The granularity of the frequency domain position in this embodiment may be the position of a frequency point, or the position of a frequency band, or the position of a BWP, etc. This embodiment does not impose any limitation on this.

[0426] Similar to the above embodiment, the measurement object in this embodiment may be SSB. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result. Alternatively, it may predict the SSB-level measurement result.

[0427] Alternatively, the measurement object in this embodiment may also be CSI-RS. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result, or it may also predict the CSI-RS-level measurement result.

[0428] The following describes the frequency domain prediction performed by the terminal device when the measurement objects are SSB and CSI-RS, using the examples shown in the preceding figure.

[0429] 1. When the measurement object is SSB and the cell-level measurement results need to be predicted

[0430] The terminal device needs to predict the first measurement result of at least one first frequency domain position in cell 1 at time N based on the second measurement result of the second frequency domain position in cell 1 at time N.

[0431] 2. When the measurement object is SSB and the SSB level measurement result needs to be predicted

[0432] The terminal device needs to predict the first measurement result of at least one first SSB in cell 1 at time N based on the second measurement result measured for the second SSB in cell 1 at time N.

[0433] The frequency domain position of the second SSB is the second frequency domain position, and the frequency domain position of the first SSB is the first frequency domain position.

[0434] 3. When the measurement object is CSI-RS and the cell-level measurement results need to be predicted

[0435] The implementation method is similar to the method of measuring the SSB as the measurement object and predicting the cell-level measurement results, which will not be repeated here.

[0436] 4. When the measurement object is CSI-RS and the CSI-RS level measurement results need to be predicted

[0437] The terminal device needs to predict a first measurement result of at least one first CSI-RS in cell 1 at time N based on a second measurement result obtained by measuring the second CSI-RS in cell 1 at time N.

[0438] The frequency domain position of the second CSI-RS is the second frequency domain position, and the frequency domain position of the first CSI-RS is the first frequency domain position.

[0439] The above describes the relevant implementation of the frequency domain dimension prediction performed by the terminal device. After predicting the first measurement result of at least one first measurement object, the terminal device also needs to send the first measurement result to the network device according to the reporting indication information.

[0440] In this embodiment, it is assumed that the reporting instruction information is the reporting instruction information set for situation 2, wherein the reporting methods indicated by the reporting instruction information may include, for example, the following:

[0441] Reporting method 1: reporting the first measurement data of each first measurement object.

[0442] Reporting method 2: reporting the first measurement result whose credibility is greater than the second threshold.

[0443] Reporting method 3: if a measurement event is determined to be triggered according to at least one first measurement result, the first event information is reported.

[0444] The implementation of these reporting methods is similar to that described in the above embodiments and will not be repeated here.

[0445] Furthermore, the reporting indication information may also instruct the terminal device to send the second measurement result obtained by measurement to the network device. The implementation method is the same as above and will not be repeated here.

[0446] In one possible implementation, while the terminal device sends the first measurement result and the second measurement result to the network device, it may also send first indication information to the network device, where the first indication information is used to indicate that the first measurement result is predicted and the second measurement result is measured. This allows the network device to effectively distinguish whether each measurement result is measured or predicted.

[0447] In addition, the reporting indication information can also indicate the timing for the terminal device to report the first measurement result to the network device. The implementation method is the same as above. The reporting indication information can indicate the terminal device to periodically report the first measurement result, or the reporting indication information can indicate the terminal device to report the first measurement result when certain measurement events are triggered.

[0448] Here we further introduce the implementation method of reporting measurement results based on measurement event triggering. Because in the frequency domain dimension prediction implementation, the time domain position of each first measurement object is the same, that is to say, the terminal device does not predict the measurement results of the remaining time domain positions in each prediction. Then, in order to effectively measure whether the measurement results of the terminal device can trigger the corresponding measurement event within the duration of TTT, the terminal device, for example, relies on multiple frequency domain dimension prediction results to judge and execute the above judgment.

[0449] For example, if the terminal device triggers the measurement time based on the measurement result at a certain moment (which may be predicted or measured), the terminal device can start TTT. Later, as time goes by, the terminal device will continue to perform the prediction of the measurement results of the frequency domain dimension at other times. Therefore, after starting TTT, the terminal device can continuously monitor whether the measurement results (which may be predicted or measured) can trigger corresponding measurement events within the TTT period. If the judgment result is yes, the terminal device can report the first measurement result and the second measurement result to the network device.

[0450] The second frequency domain position of the second measurement object is further described here. The above description describes the frequency domain information indicating the second frequency domain position. In another implementation, the second frequency domain position may also be determined based on the measurement configuration of the mobility measurement. In other words, the frequency domain information only needs to indicate the first frequency domain position to be predicted, and the second frequency domain position is still determined using the existing measurement configuration of the mobility measurement.

[0451] Case 3: Configuration information only includes airspace information

[0452] The spatial information may indicate at least one first spatial location to be predicted, and the spatial location may specifically be a beam or a cell.

[0453] To elaborate, the spatial domain information can be used to indicate at least one first beam to be predicted, wherein each first measurement object is located on each first beam respectively.

[0454] Alternatively, the spatial domain information may be used to indicate at least one third cell to be predicted, wherein each first measurement object is located in each third cell respectively.

[0455] In addition to indicating the first spatial location to be predicted, the spatial information may also indicate at least one second spatial location to be measured.

[0456] To elaborate, the spatial domain information can be used to indicate at least one second beam to be measured, wherein each second measurement object is located on each second beam respectively.

[0457] Alternatively, the spatial domain information may be used to indicate at least one fourth cell to be measured, wherein each second measurement object is located in each fourth cell respectively.

[0458] In this case, it can be understood that the measurement result of at least one first beam is predicted based on the measurement result of at least one second beam, or the measurement result of at least one third beam is predicted based on the measurement result of at least one fourth cell.

[0459] In this embodiment, the first beam and the second beam can be located in different coverage ranges, and the third cell and the fourth cell can be located in different coverage ranges, so as to ensure that the first beam and the second beam correspond to different spatial positions, and the third cell and the fourth cell correspond to different spatial positions, thereby realizing the prediction of measurement results of the spatial dimension.

[0460] Furthermore, the time domain position of the first measurement object may be the same as the time domain position of the second measurement object, and the frequency domain position of the first measurement object may be the same as the frequency domain position of the second measurement object. Based on this, the specific resource location of the first measurement object for which measurement result prediction is required can be clarified.

[0461] The following introduces the implementation of the spatial location as beam and cell respectively.

[0462] In one implementation, the spatial domain information is used to indicate at least one third cell to be predicted, and may also indicate at least one fourth cell to be measured.

[0463] This implementation method is described below in conjunction with Figure 12, which is a fifth diagram of the resource location relationship of the measurement object provided in an embodiment of the present application.

[0464] FIG12 shows a second measurement object 1201, a first measurement object 1202, and a first measurement object 1203. It is understood that there may be other first measurement objects, and FIG12 is only an example.

[0465] Assume that the spatial location of the second measurement object 1201 is cell 1 (i.e., the fourth cell) shown in Figure 12, the spatial location of the first measurement object 1202 is cell 2 shown in Figure 12, and the spatial location of the first measurement object 1203 is cell 3 shown in Figure 12, where both cell 2 and cell 3 are the third cells described above. In one implementation, the third cell and the fourth cell are cells in different coverage areas. That is, cell 1 and cell 2 are located in different coverage areas, and cell 1 and cell 3 are located in different coverage areas. However, whether cell 2 and cell 3 are located in different coverage areas can be selected based on actual needs.

[0466] Furthermore, the time corresponding to the time domain position of the second measurement object 1201 is time N shown in Figure 12, and the time corresponding to the time domain position of each first measurement object is also time N shown in Figure 12. The detailed description of time N can be referred to the above embodiment and will not be repeated here.

[0467] Furthermore, the time corresponding to the frequency domain position of the second measurement object 1201 is the frequency domain position a shown in Figure 12, and the time corresponding to the frequency domain position of each first measurement object is also the frequency domain position a shown in Figure 12. The detailed description of the frequency domain position a can be referred to the above embodiment and will not be repeated here.

[0468] In this implementation, the first measurement result of the remaining at least one third cell is predicted based on the second measurement result of the at least one fourth cell.

[0469] In another implementation, the spatial domain information is used to indicate at least one first beam to be predicted, and may also indicate at least one second beam to be measured.

[0470] This implementation method is described below in conjunction with Figure 13, which is a sixth diagram of the resource location relationship of the measurement object provided in an embodiment of the present application.

[0471] FIG13 shows a second measurement object 1301, a first measurement object 1302, and a first measurement object 1303. It is understood that there may be other first measurement objects, and FIG13 is only an example.

[0472] Assume that the spatial location of the second measurement object 1301 is beam 1 (i.e., the second beam) shown in Figure 13, the frequency domain location of the first measurement object 1302 is beam 2 shown in Figure 13, and the frequency domain location of the first measurement object 1303 is beam 3 shown in Figure 13, where beam 2 and beam 3 are both the first beam described above. In one implementation, the first beam and the second beam are beams with different coverage ranges. That is, beam 1 and beam 2 are located in different coverage ranges, and beam 1 and cell 3 beam are located in different coverage ranges. However, whether beam 2 and beam 3 are located in different coverage ranges can be selected based on actual needs.

[0473] In addition, the first beam and the second beam can be beams in the same cell, or they can be beams in different cells. This embodiment does not limit this. The first beam and the second beam can also be beams in different coverage ranges, corresponding to different airspace positions respectively.

[0474] Furthermore, the time domain position of each first measurement object is the same as the time domain position of the second measurement object 1301. The frequency domain position of each first measurement object is also the same as the frequency domain position of the second measurement object 1301. The implementation is the same as described in FIG12 and will not be repeated here.

[0475] In this implementation, the first measurement result of the remaining at least one first beam is predicted based on the second measurement result of the at least one second beam.

[0476] Based on the examples introduced in Figures 12 to 13 above, it can be understood that when the configuration signaling only includes spatial domain information, it can be determined which spatial domain positions to predict the measurement results for based on the spatial domain information, and it can be determined which time domain position to predict the measurement results for based on the time domain position of the second measurement object, and it can be determined which frequency domain position to predict the measurement results for based on the frequency domain position of the second measurement object, so that the specific resource location of at least one first measurement object can be clarified.

[0477] Here, the implementation method of indicating at least one first airspace position by the airspace information in this embodiment is further described:

[0478] In one implementation, the spatial domain information may directly include at least one first spatial domain position, for example, may include an index value of at least one first beam, or include a cell number of at least one third cell, and so on.

[0479] Alternatively, the airspace information may further include a third step length and a third quantity, and then the terminal device may determine at least one first airspace position based on the third step length and the third quantity.

[0480] For example, the index value difference between each first beam is a third step length, and the index value difference between the first beam with the smallest index value and the second beam is also a third step length. Alternatively, the number difference between each third cell is a third step length, and the number difference between the third cell with the smallest index value and the fourth cell is also a third step length. The number of first frequency domain positions is the third number.

[0481] Optionally, the third step size and / or the third number may be negotiated between the terminal device and the network device. Furthermore, the third number may be determined based on the number of first measurement results output by the prediction model, where the prediction model only outputs first measurement results whose credibility is greater than a first threshold. The implementation of determining the third number based on the number of first measurement results output by the prediction model can be found in the description of the above-mentioned embodiment of time-domain prediction and will not be further elaborated here.

[0482] Similar to the above embodiment, the measurement object in this embodiment may be SSB. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result. Alternatively, it may predict the SSB-level measurement result.

[0483] Alternatively, the measurement object in this embodiment may also be CSI-RS. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result, or it may also predict the CSI-RS-level measurement result.

[0484] The following describes the spatial prediction performed by the terminal device when the measurement objects are SSB and CSI-RS, using the examples shown in the preceding figure.

[0485] 1. When the measurement object is SSB and the cell-level measurement results need to be predicted

[0486] The terminal device needs to predict the first measurement result of at least one third cell at time N (the predicted frequency domain position is also frequency domain position a) based on the second measurement result of the fourth cell at time N (the specific measured frequency domain position is frequency domain position a).

[0487] 2. When the measurement object is SSB and the SSB level measurement result needs to be predicted

[0488] The terminal device needs to predict the first measurement result of the SSB in at least one first beam at time N based on the second measurement result measured for a certain SSB on the second beam at time N.

[0489] 3. When the measurement object is CSI-RS and the cell-level measurement results need to be predicted

[0490] The implementation method is similar to the method of measuring the SSB as the measurement object and predicting the cell-level measurement results, which will not be repeated here.

[0491] 4. When the measurement object is CSI-RS and the CSI-RS level measurement results need to be predicted

[0492] The terminal device needs to predict the first measurement result of the CSI-RS on at least one first beam at time N based on the second measurement result measured for a CSI-RS on the second beam at time N.

[0493] The above describes the relevant implementation of the prediction of the spatial dimension performed by the terminal device. After predicting the first measurement result of at least one first measurement object, the terminal device also needs to send the first measurement result to the network device according to the reporting indication information.

[0494] In this embodiment, it is assumed that the reporting instruction information is the reporting instruction information set for situation 3, wherein the reporting methods indicated by the reporting instruction information may include, for example, the following:

[0495] Reporting method 1: reporting the first measurement data of each first measurement object.

[0496] Reporting method 2: reporting the first measurement result whose credibility is greater than the second threshold.

[0497] Reporting method 3: if a measurement event is determined to be triggered according to at least one first measurement result, the first event information is reported.

[0498] The implementation of these reporting methods is similar to that described in the above embodiments, and the similarities will not be repeated here.

[0499] It should be specially noted that, in reporting mode 3 in this embodiment, the predicted triggered measurement event may be a cell-level measurement event, or may also be a beam-level measurement event.

[0500] The beam-level measurement events may include, for example:

[0501] The signal quality of a certain beam is higher (or lower) than a certain absolute threshold; the average beam quality of the serving beam or the serving cell is lower than a certain threshold; the predicted or measured beam is higher (or lower) than a certain threshold.

[0502] And when the spatial position indicated by the spatial information is a beam (that is, the spatial information introduced above indicates the first beam, the first beam, and the second beam), if it is necessary to determine whether a cell-level measurement event is expected to be triggered, then, for example, the average value or the highest value of the first prediction results for at least one first beam configured in the same cell can be selected to determine whether a cell-level measurement event is triggered.

[0503] Furthermore, the reporting indication information may also instruct the terminal device to send the second measurement result obtained by measurement to the network device. The implementation method is the same as above and will not be repeated here.

[0504] In addition, the reporting indication information can also indicate the timing for the terminal device to report the first measurement result to the network device. The implementation method is the same as above. The reporting indication information can indicate the terminal device to periodically report the first measurement result, or the reporting indication information can indicate the terminal device to report the first measurement result when certain measurement events are triggered.

[0505] Here we further introduce the implementation method of reporting measurement results based on measurement event triggering. Because in the prediction implementation of the spatial dimension, the time domain position of each first measurement object is the same, that is to say, the terminal device does not predict the measurement results of the remaining time domain positions in each prediction. Then, in order to effectively measure whether the measurement results of the terminal device can trigger the corresponding measurement event within the duration of TTT, the terminal device, for example, relies on the prediction results of multiple spatial dimensions to judge and execute the above judgment.

[0506] For example, if the terminal device triggers the measurement time based on the measurement result at a certain moment (which may be predicted or measured), the terminal device can start TTT. As time goes by, the terminal device will continue to perform the prediction of the measurement results of the spatial dimension at other times. Therefore, after starting TTT, the terminal device can continuously monitor whether the measurement results (which may be predicted or measured) can trigger corresponding measurement events within the TTT period. If the judgment result is yes, the terminal device can report the first measurement result and the second measurement result to the network device.

[0507] Case 4: Configuration information includes time domain information and frequency domain information

[0508] The relevant contents of the time domain information and the frequency domain information can be referred to the introduction of the above case 1 and case 2, which will not be repeated here.

[0509] In this case, it can be understood that the measurement result of the first frequency domain position at time N+x is predicted based on the second measurement result of the second frequency domain position at time N.

[0510] The resource location of the first measurement object in the current situation is further explained below with a specific example in combination with FIG14 . FIG14 is a seventh diagram showing the resource location relationship of the measurement objects provided in an embodiment of the present application.

[0511] FIG14 shows a second measurement object 1401 , a first measurement object 1402 , a first measurement object 1403 , and a first measurement object 1404 .

[0512] Among them, the time corresponding to the time domain position of the second measurement object 1401 is the N time shown in Figure 14, and the time corresponding to the time domain positions of the first measurement object 1402 to the first measurement object 1404 are: N+i time, N+2i time, N+3i time,..., N+mi time.

[0513] In addition, the frequency domain position of the second measurement object 1401 is the frequency domain position a (i.e., the second frequency domain position) shown in Figure 14, the frequency domain position of the first measurement object 1402 is the frequency domain position b shown in Figure 14, the frequency domain position of the first measurement object 1403 is the frequency domain position c shown in Figure 14, and the frequency domain position of the first measurement object 1404 is the frequency domain position d shown in Figure 14, where the frequency domain positions b, c, and d are all the first frequency domain positions introduced above.

[0514] Furthermore, the spatial location in this embodiment may be the cell or beam where the measurement object is located. Assuming that the spatial location of the second measurement object 1401 is cell 1 as shown in FIG14 , the spatial location of each first measurement object is also cell 1 as shown in FIG14 .

[0515] Based on the example of Figure 14, it can be understood that when the configuration signaling only includes time domain information and frequency domain information, it can be determined at which moments the measurement results are to be predicted based on the time domain information, and it can be determined at which frequency domain positions the measurement results are to be predicted based on the frequency domain information, and it can be determined at which spatial domain positions the measurement results are to be predicted based on the spatial domain position of the second measurement object, so that the specific resource location of at least one first measurement object can be clarified.

[0516] In the situation described in Figure 14 above, the time domain position and frequency domain position of each first measurement resource are different. However, Figure 14 only describes one possible situation. For example, it is also possible that the time domain positions of multiple first measurement resources are all at a certain N+x moment, but the frequency domain positions are different. Or it is also possible that the frequency domain positions of multiple first measurement resources are all at frequency domain position a, but the time domain positions are different. For this situation where "the time domain position and frequency domain position are different", the network device can further indicate which time domain position and frequency domain position each first measurement resource corresponds to, or combine them in sequence according to the configuration order to form the time domain position and frequency domain position of each first measurement resource.

[0517] These can be configured according to actual needs during the actual implementation process, as long as the time domain position of the first measurement resource is different from the time domain position of the second measurement resource, and the frequency domain position of the first measurement resource is different from the frequency domain position of the second measurement resource.

[0518] And referring to the introduction of the above situation 2, it can be determined that there are multiple possible ways to realize the first frequency domain position. In fact, Figure 14 above only illustrates the first implementation method introduced above. The remaining implementation methods are similar. Just make corresponding replacements according to the content introduced in the above situation 2. No further examples will be given here.

[0519] Furthermore, the measurement object in this embodiment may also be SSB. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result, or may also predict the SSB-level measurement result.

[0520] Alternatively, the measurement object in this embodiment may also be CSI-RS. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result, or it may also predict the CSI-RS-level measurement result.

[0521] The following describes the predictions in the time and frequency domains performed by the terminal device when the measurement objects are SSB and CSI-RS, using the above examples.

[0522] 1. When the measurement object is SSB and the cell-level measurement results need to be predicted

[0523] The terminal device needs to predict the first measurement result of at least one first frequency domain position in cell 1 at time N+x based on the second measurement result of the second frequency domain position in cell 1 at time N, where the value of x is i, 2i,…, mi in sequence.

[0524] 2. When the measurement object is SSB and the SSB level measurement result needs to be predicted

[0525] The terminal device needs to predict the first measurement result of at least one first SSB in cell 1 at time N+x based on the second measurement result measured for the second SSB in cell 1 at time N, where the value of x is i, 2i,…, mi in sequence.

[0526] The frequency domain position of the second SSB is the second frequency domain position, and the frequency domain position of the first SSB is the first frequency domain position.

[0527] 3. When the measurement object is CSI-RS and the cell-level measurement results need to be predicted

[0528] The implementation method is similar to the method of measuring the SSB as the measurement object and predicting the cell-level measurement results, which will not be repeated here.

[0529] 4. When the measurement object is CSI-RS and the CSI-RS level measurement results need to be predicted

[0530] The terminal device needs to predict the first measurement result of at least one first CSI-RS in cell 1 at time N+x based on the second measurement result measured for the second CSI-RS in cell 1 at time N, where the value of x is i, 2i, ..., mi in sequence.

[0531] The frequency domain position of the second CSI-RS is the second frequency domain position, and the frequency domain position of the first CSI-RS is the first frequency domain position.

[0532] The above introduces the relevant implementation of the joint prediction of the time domain and frequency domain dimensions performed by the terminal device. After predicting the first measurement result of at least one first measurement object, the terminal device also needs to send the first measurement result to the network device according to the reporting indication information.

[0533] In this embodiment, it is assumed that the reporting instruction information is the reporting instruction information set for situation 4, wherein the reporting methods indicated by the reporting instruction information may include, for example, the following:

[0534] Reporting method 1: reporting the first measurement data of each first measurement object.

[0535] Reporting method 2: reporting the first measurement result whose credibility is greater than the second threshold.

[0536] Reporting method 3: if a measurement event is determined to be triggered according to at least one first measurement result, the first event information is reported.

[0537] The implementation of these reporting methods is similar to that described in the above embodiments and will not be repeated here.

[0538] Similarly, the reporting indication information may also instruct the terminal device to send the second measurement result obtained by measurement to the network device. The implementation method is the same as above and will not be repeated here.

[0539] In addition, the reporting indication information can also indicate the timing for the terminal device to report the first measurement result to the network device. The implementation method is the same as above. The reporting indication information can indicate the terminal device to periodically report the first measurement result, or the reporting indication information can indicate the terminal device to report the first measurement result when certain measurement events are triggered.

[0540] In the current situation, because it is a joint prediction of the time domain and frequency domain, when the terminal device determines whether the TTT measurement results all trigger a certain measurement event, for example, it can adopt the judgment method introduced in the above time domain dimension, that is, to judge whether the timing end time of TTT exceeds the latest time predicted by the terminal device, and if it does not exceed, further judge whether the measurement results within the duration of TTT all trigger a certain measurement event. Alternatively, the judgment method introduced in the above frequency domain dimension can also be adopted, that is, to accumulate and determine the measurement results of multiple moments over time, so as to judge whether the measurement results within TTT can trigger a certain measurement event. This embodiment does not limit the specific judgment method, which can be selected according to actual needs.

[0541] Case 5: Configuration information includes time domain information and spatial domain information

[0542] Among them, the relevant contents of the time domain information and the spatial domain information can refer to the introduction of the above situation 1 and situation 3, and will not be repeated here.

[0543] In this case, it can be understood that the measurement result of the first spatial position at time N+x is predicted based on the second measurement result of the second spatial position at time N.

[0544] The resource location of the first measurement object in the current situation is further explained below with reference to a specific example in conjunction with FIG15 . FIG15 is a resource location relationship diagram eight of the measurement objects provided in an embodiment of the present application.

[0545] FIG15 shows a second measurement object 1501 , a first measurement object 1502 , a first measurement object 1503 , and a first measurement object 1504 .

[0546] Among them, the moment corresponding to the time domain position of the second measurement object 1501 is the N moment shown in Figure 15, and the moments corresponding to the time domain positions of the first measurement objects 1502 to 1504 are: N+i moment, N+2i moment, N+3i moment,..., N+mi moment.

[0547] Also, assuming that the frequency domain position of the second measurement object 1501 is the frequency domain position a shown in FIG15 , the frequency domain position of each first measurement object is also the frequency domain position a shown in FIG15 .

[0548] Assume that the spatial location of the second measurement object 1501 is cell 1 (ie, the fourth cell) shown in FIG15 , and the spatial locations of the first measurement objects 1502 to 1504 are all cell 2 (ie, the third cell) shown in FIG15 .

[0549] Based on the example of Figure 15, it can be understood that when the configuration signaling only includes time domain information and spatial domain information, it can be determined at which moments the measurement results are to be predicted based on the time domain information, and it can be determined at which spatial domain positions the measurement results are to be predicted based on the spatial domain information, and it can be determined at which frequency domain positions the measurement results are to be predicted based on the frequency domain position of the second measurement object, so that the specific resource location of at least one first measurement object can be clarified.

[0550] In the situation described in Figure 15 above, the time domain positions of each first measurement resource are different, but the spatial positions of each first measurement resource are the same. However, Figure 15 only describes one possible situation. For example, it is also possible that the time domain positions of multiple first measurement resources are all at a certain N+x moment, but the spatial positions are different. Or it is also possible that the time domain positions and spatial positions of multiple first measurement resources are different. For this situation where "the time domain positions and spatial positions are different", the network device can further indicate which time domain position and which spatial position each first measurement resource corresponds to, or combine them in sequence according to the configuration order to form the time domain position and spatial position of each first measurement resource.

[0551] These can be configured according to actual needs during the actual implementation process, as long as the time domain position of the first measurement resource is different from the time domain position of the second measurement resource, and the spatial domain position of the first measurement resource is different from the spatial domain position of the second measurement resource.

[0552] And referring to the introduction of the above situation 3, it can be determined that the airspace position indicated by the airspace information may be a beam or a cell. In fact, the above Figure 14 only illustrates the situation where the airspace position is a cell. The implementation method for the airspace position as a beam is also similar. It can be replaced accordingly according to the content introduced in the above situation 3. No further examples will be given here.

[0553] Furthermore, the measurement object in this embodiment may also be SSB. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result, or may also predict the SSB-level measurement result.

[0554] Alternatively, the measurement object in this embodiment may also be CSI-RS. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result, or it may also predict the CSI-RS-level measurement result.

[0555] The following describes the time and spatial domain predictions performed by the terminal device when the measurement objects are SSB and CSI-RS, using the above examples.

[0556] 1. When the measurement object is SSB and the cell-level measurement results need to be predicted

[0557] The terminal device needs to predict the first measurement result of at least one third cell at time N+x (the predicted frequency domain position is also frequency domain position a) based on the second measurement result of the fourth cell at time N (the specific measured frequency domain position is frequency domain position a).

[0558] 2. When the measurement object is SSB and the SSB level measurement result needs to be predicted

[0559] The terminal device needs to predict the first measurement result of the SSB in at least one first beam at time N+x based on the second measurement result measured for a certain SSB on the second beam at time N.

[0560] 3. When the measurement object is CSI-RS and the cell-level measurement results need to be predicted

[0561] The implementation method is similar to the method of measuring the SSB as the measurement object and predicting the cell-level measurement results, which will not be repeated here.

[0562] 4. When the measurement object is CSI-RS and the CSI-RS level measurement results need to be predicted

[0563] The terminal device needs to predict the first measurement result of the CSI-RS on at least one first beam at time N+x based on the second measurement result measured for a CSI-RS on the second beam at time N.

[0564] The above introduces the relevant implementation of the joint prediction of the time domain and spatial domain dimensions performed by the terminal device. After predicting the first measurement result of at least one first measurement object, the terminal device also needs to send the first measurement result to the network device according to the reporting indication information.

[0565] In this embodiment, it is assumed that the reporting instruction information is the reporting instruction information set for situation 5, wherein the reporting methods indicated by the reporting instruction information may include, for example, the following:

[0566] Reporting method 1: reporting the first measurement data of each first measurement object.

[0567] Reporting method 2: reporting the first measurement result whose credibility is greater than the second threshold.

[0568] Reporting method 3: if a measurement event is determined to be triggered according to at least one first measurement result, the first event information is reported.

[0569] The implementation of these reporting methods is similar to that described in the above embodiments and will not be repeated here.

[0570] Similarly, the reporting indication information may also instruct the terminal device to send the second measurement result obtained by measurement to the network device. The implementation method is the same as above and will not be repeated here.

[0571] In addition, the reporting indication information can also indicate the timing for the terminal device to report the first measurement result to the network device. The implementation method is the same as above. The reporting indication information can indicate the terminal device to periodically report the first measurement result, or the reporting indication information can indicate the terminal device to report the first measurement result when certain measurement events are triggered.

[0572] In the current case, because the prediction is made jointly in the time domain and spatial domain, when the terminal device determines whether the TTT measurement results all trigger a certain measurement event, it can use the judgment method described in the time domain dimension above. Alternatively, it can also use the judgment method described in the spatial domain dimension above. This embodiment does not limit the specific judgment method, which can be selected according to actual needs.

[0573] Case 6: Configuration information includes frequency domain information and spatial domain information

[0574] Among them, the relevant contents of frequency domain information and spatial domain information can refer to the introduction of the above situation 2 and situation 3, and will not be repeated here.

[0575] In this case, it can be understood that the measurement result of the first frequency domain position in the first spatial domain position at time N is predicted based on the second measurement result of the second frequency domain position in the second spatial domain position at time N.

[0576] The resource location of the first measurement object in the current situation is further explained below with a specific example in combination with FIG16 . FIG16 is a ninth diagram showing the resource location relationship of the measurement objects provided in an embodiment of the present application.

[0577] FIG16 shows a second measurement object 1601 , a first measurement object 1602 , a first measurement object 1603 , and a first measurement object 1604 .

[0578] The time corresponding to the time domain position of the second measurement object 1601 is time N shown in Figure 16, and the time corresponding to the time domain position of each first measurement object is also time N shown in Figure 16. The detailed description of time N can be referred to the above embodiment and will not be repeated here.

[0579] In addition, the frequency domain position of the second measurement object 1601 is the frequency domain position a (i.e., the second frequency domain position) shown in Figure 16, the frequency domain position of the first measurement object 1602 is the frequency domain position b shown in Figure 16, the frequency domain position of the first measurement object 1603 is the frequency domain position c shown in Figure 16, and the frequency domain position of the first measurement object 1604 is the frequency domain position d shown in Figure 16, where the frequency domain positions b, c, and d are all the first frequency domain positions introduced above.

[0580] Assume that the spatial location of the second measurement object 1601 is cell 1 (ie, the fourth cell) shown in FIG16 , and the spatial locations of the first measurement objects 1602 to 1604 are all cell 2 (ie, the third cell) shown in FIG16 .

[0581] Based on the example of Figure 16, it can be understood that when the configuration signaling only includes frequency domain information and spatial domain information, it can be determined which frequency domain positions to predict the measurement results for based on the frequency domain information, and it can be determined which spatial domain positions to predict the measurement results for based on the spatial domain information, and it can be determined which time instant to predict the measurement results for based on the time domain position of the second measurement object, so that the specific resource location of at least one first measurement object can be clarified.

[0582] In the situation described in Figure 16 above, the frequency domain positions of each first measurement resource are different, but the spatial domain positions of each first measurement resource are the same. However, Figure 16 only describes one possible situation. For example, it is also possible that the frequency domain positions of multiple first measurement resources are all at a certain frequency domain position, but the spatial domain positions are different. Alternatively, it is also possible that the frequency domain positions and spatial domain positions of multiple first measurement resources are different. For this situation where "the frequency domain positions and spatial domain positions are different", the network device may further indicate which frequency domain position and which spatial domain position each first measurement resource corresponds to, or combine them in sequence according to the configuration order to form the frequency domain position and spatial domain position of each first measurement resource.

[0583] These can be configured according to actual needs during the actual implementation process, as long as the frequency domain position of the first measurement resource is different from the frequency domain position of the second measurement resource, and the spatial domain position of the first measurement resource is different from the spatial domain position of the second measurement resource.

[0584] And referring to the introduction of the above situation 2, it can be determined that there are multiple possible ways to realize the first frequency domain position. In fact, the above Figure 16 only illustrates the first implementation method introduced above. The remaining implementation methods are similar. Just make corresponding replacements according to the content introduced in the above situation 2. No further examples will be given here.

[0585] And referring to the introduction of the above situation 3, it can be determined that the airspace position indicated by the airspace information may be a beam or a cell. In fact, the above Figure 16 only illustrates the situation where the airspace position is a cell. The implementation method for the airspace position as a beam is also similar. It can be replaced accordingly according to the content introduced in the above situation 3. No further examples will be given here.

[0586] Furthermore, the measurement object in this embodiment may also be SSB. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result, or may also predict the SSB-level measurement result.

[0587] Alternatively, the measurement object in this embodiment may also be CSI-RS. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result, or it may also predict the CSI-RS-level measurement result.

[0588] The following describes the frequency and spatial domain predictions performed by the terminal device when the measurement objects are SSB and CSI-RS, using the above examples.

[0589] 1. When the measurement object is SSB and the cell-level measurement results need to be predicted

[0590] The terminal device needs to predict the first measurement result of the second frequency domain position in at least one third cell at time N based on the second measurement result of the second frequency domain position in the fourth cell at time N.

[0591] 2. When the measurement object is SSB and the SSB level measurement result needs to be predicted

[0592] The terminal device needs to predict the first measurement result of the first SSB in at least one first beam at time N based on the second measurement result measured for the second SSB on the second beam at time N.

[0593] The frequency domain position of the second SSB is the second frequency domain position, and the frequency domain position of the first SSB is the first frequency domain position.

[0594] 3. When the measurement object is CSI-RS and the cell-level measurement results need to be predicted

[0595] The implementation method is similar to the method of measuring the SSB as the measurement object and predicting the cell-level measurement results, which will not be repeated here.

[0596] 4. When the measurement object is CSI-RS and the CSI-RS level measurement results need to be predicted

[0597] The terminal device needs to predict the first measurement result of the first CSI-RS in at least one first beam at time N based on the second measurement result measured for the second CSI-RS on the second beam at time N.

[0598] The frequency domain position of the second CSI-RS is the second frequency domain position, and the frequency domain position of the first CSI-RS is the first frequency domain position.

[0599] The above introduces the relevant implementation of the joint prediction of the frequency domain and spatial domain dimensions performed by the terminal device. After predicting the first measurement result of at least one first measurement object, the terminal device also needs to send the first measurement result to the network device according to the reporting indication information.

[0600] In this embodiment, it is assumed that the reporting instruction information is the reporting instruction information set for situation 6, wherein the reporting methods indicated by the reporting instruction information may include, for example, the following:

[0601] Reporting method 1: reporting the first measurement data of each first measurement object.

[0602] Reporting method 2: reporting the first measurement result whose credibility is greater than the second threshold.

[0603] Reporting method 3: if a measurement event is determined to be triggered according to at least one first measurement result, the first event information is reported.

[0604] The implementation of these reporting methods is similar to that described in the above embodiments and will not be repeated here.

[0605] Similarly, the reporting indication information may also instruct the terminal device to send the second measurement result obtained by measurement to the network device. The implementation method is the same as above and will not be repeated here.

[0606] In addition, the reporting indication information can also indicate the timing for the terminal device to report the first measurement result to the network device. The implementation method is the same as above. The reporting indication information can indicate the terminal device to periodically report the first measurement result, or the reporting indication information can indicate the terminal device to report the first measurement result when certain measurement events are triggered.

[0607] In the current situation, because it is a frequency domain and a joint frequency domain prediction, the judgment methods of these two dimensions are similar. Therefore, when the terminal device judges whether the TTT measurement results all trigger a certain measurement event, it can accumulate and determine the measurement results of multiple moments over time, thereby judging whether the measurement results within the TTT can all trigger a certain measurement event. This embodiment does not limit the specific judgment method, and it can be selected according to actual needs.

[0608] Case 7: Configuration information includes time domain information, frequency domain information, and spatial domain information

[0609] Among them, the relevant contents of time domain information, frequency domain information and spatial domain information can refer to the introduction of the above situation 1, situation 2 and situation 3, and will not be repeated here.

[0610] In this case, it can be understood that the measurement result of the first frequency domain position in the first spatial domain position at time N+x is predicted based on the second measurement result of the second frequency domain position in the second spatial domain position at time N.

[0611] The resource location of the first measurement object in the current situation is further explained below with a specific example in combination with FIG17 . FIG17 is a resource location relationship diagram of the measurement object provided in an embodiment of the present application.

[0612] FIG17 shows a second measurement object 1701 , a first measurement object 1702 , a first measurement object 1703 , and a first measurement object 1704 .

[0613] Among them, the moment corresponding to the time domain position of the second measurement object 1701 is the N moment shown in Figure 17, and the moments corresponding to the time domain positions of the first measurement objects 1702 to 1704 are: N+i moment, N+2i moment, N+3i moment,..., N+mi moment.

[0614] In addition, the frequency domain position of the second measurement object 1701 is the frequency domain position a (i.e., the second frequency domain position) shown in Figure 17, the frequency domain position of the first measurement object 1607 is the frequency domain position b shown in Figure 17, the frequency domain position of the first measurement object 1703 is the frequency domain position c shown in Figure 17, and the frequency domain position of the first measurement object 1607 is the frequency domain position d shown in Figure 17, where the frequency domain positions b, c, and d are all the first frequency domain positions introduced above.

[0615] Assume that the spatial location of the second measurement object 1701 is cell 1 (ie, the fourth cell) shown in FIG17 , and the spatial locations of the first measurement objects 1702 to 1704 are all cell 2 (ie, the third cell) shown in FIG17 .

[0616] Based on the example of Figure 17, it can be understood that when time domain information, frequency domain information and spatial domain information are simultaneously configured in the signaling, it can be determined which time domain positions to predict the measurement results for based on the time domain information, and it can be determined which frequency domain positions to predict the measurement results for based on the frequency domain information, and it can be determined which spatial domain positions to predict the measurement results for based on the spatial domain information, so that the specific resource location of at least one first measurement object can be clarified.

[0617] Similar to Cases 4 to 6 described above, the time domain position, frequency domain position, and spatial domain position of each first measurement resource may be the same or different, and may be configured according to actual needs, as long as the time domain position, frequency domain position, and spatial domain position of the first measurement resource are different from the time domain position, frequency domain position, and spatial domain position of the second measurement resource. The specific implementation can be understood by referring to the introduction of Cases 4 to 6 above.

[0618] The first frequency domain position and the first beam position can be implemented in many different ways. Figure 17 above only illustrates one possible implementation method. The remaining implementation methods can be understood according to the contents introduced in Cases 4 to 6 above, and will not be explained here one by one.

[0619] Furthermore, the measurement object in this embodiment may also be SSB. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result, or may also predict the SSB-level measurement result.

[0620] Alternatively, the measurement object in this embodiment may also be CSI-RS. Accordingly, when the terminal device predicts the measurement result, it may predict the cell-level measurement result, or it may also predict the CSI-RS-level measurement result.

[0621] The following describes the predictions made by the terminal device in the time, frequency, and spatial domains when the measurement objects are SSB and CSI-RS, using the above examples.

[0622] 1. When the measurement object is SSB and the cell-level measurement results need to be predicted

[0623] The terminal device needs to predict the first measurement result of the second frequency domain position in at least one third cell at time N+x based on the second measurement result of the second frequency domain position in the fourth cell at time N.

[0624] 2. When the measurement object is SSB and the SSB level measurement result needs to be predicted

[0625] The terminal device needs to predict the first measurement result of the first SSB in at least one first beam at time N+x based on the second measurement result measured for the second SSB on the second beam at time N.

[0626] The frequency domain position of the second SSB is the second frequency domain position, and the frequency domain position of the first SSB is the first frequency domain position.

[0627] 3. When the measurement object is CSI-RS and the cell-level measurement results need to be predicted

[0628] The implementation method is similar to the method of measuring the SSB as the measurement object and predicting the cell-level measurement results, which will not be repeated here.

[0629] 4. When the measurement object is CSI-RS and the CSI-RS level measurement results need to be predicted

[0630] The terminal device needs to predict the first measurement result of the first CSI-RS in at least one first beam at time N+x based on the second measurement result measured for the second CSI-RS on the second beam at time N.

[0631] The frequency domain position of the second CSI-RS is the second frequency domain position, and the frequency domain position of the first CSI-RS is the first frequency domain position.

[0632] The above introduces the relevant implementation of the joint prediction of the three dimensions of time domain, frequency domain and spatial domain performed by the terminal device. After predicting the first measurement result of at least one first measurement object, the terminal device also needs to send the first measurement result to the network device according to the reporting indication information.

[0633] In this embodiment, it is assumed that the reporting instruction information is the reporting instruction information set for situation 7, wherein the reporting methods indicated by the reporting instruction information may include, for example, the following:

[0634] Reporting method 1: reporting the first measurement data of each first measurement object.

[0635] Reporting method 2: reporting the first measurement result whose credibility is greater than the second threshold.

[0636] Reporting method 3: if a measurement event is determined to be triggered according to at least one first measurement result, the first event information is reported.

[0637] The implementation of these reporting methods is similar to that described in the above embodiments and will not be repeated here.

[0638] Similarly, the reporting indication information may also instruct the terminal device to send the second measurement result obtained by measurement to the network device. The implementation method is the same as above and will not be repeated here.

[0639] In addition, the reporting indication information can also indicate the timing for the terminal device to report the first measurement result to the network device. The implementation method is the same as above. The reporting indication information can indicate the terminal device to periodically report the first measurement result, or the reporting indication information can indicate the terminal device to report the first measurement result when certain measurement events are triggered.

[0640] In the current case, because the prediction is made jointly in the time domain, frequency domain, and spatial domain, when the terminal device determines whether the TTT measurement results all trigger a certain measurement event, it can use the judgment method described in the time domain dimension above. Alternatively, it can also use the judgment method described in the frequency domain dimension or spatial domain dimension above. This embodiment does not limit the specific judgment method, which can be selected according to actual needs.

[0641] The above embodiments respectively introduce the detailed implementation of various information configurations and reporting indication information in Cases 1 to 7. Based on the above introduction, the implementation of determining the first measurement result according to the prediction model is briefly described below.

[0642] It can be understood that no matter which of the situations described above is used, in this embodiment, when determining the first measurement result, the processing principle is to obtain the second measurement result of the second measurement object, and then input the second measurement result into the prediction model to obtain the first measurement result of at least one first measurement object.

[0643] The output of the prediction model can be understood in two ways:

[0644] First of all, the output of the prediction model is the first measurement result we need.

[0645] In this implementation, after the second measurement object is input into the prediction model, the prediction model can directly output the first measurement result of at least one first measurement object.

[0646] For example, during the prediction model training phase, the model can be trained to output the first measurement result according to certain fixed rules. For example, in Case 1 described above, we need the first measurement results at time N+i, time N+2i, ..., and time N+mi. During the model training phase, the prediction model can be trained to predict the measurement results for multiple future time points sequentially, based on the first step length i, until the prediction reaches time N+mi. Based on this implementation approach, the prediction model can directly output the desired results.

[0647] Alternatively, during the model inference phase, the prediction model can be provided with a second measurement object and some output guidance data. The prediction model will then refer to the output guidance data to output the desired measurement results. For example, in Case 2 described above, if we need to obtain first measurement results for n fixed first frequency domain locations, we can provide the prediction model with these n first frequency domain locations and the second measurement object simultaneously. The prediction model will then output the desired measurement results.

[0648] Secondly, the prediction model outputs a large number of measurement results based on the principle of relatively wide coverage. Then, we need to select the first measurement result of at least one first measurement object we need from the measurement results of the prediction model.

[0649] For example, during model training, the prediction model is trained to output measurement results for multiple resource locations with broad coverage (or finer output granularity). The model's output is then filtered. For example, in Case 1 described above, we need to obtain the first measurement results at times such as 110ms, 120ms, ..., and 200ms. The model then outputs the first measurement results at times such as 101ms, 102ms, 103ms, ..., 199ms, and 200ms at a finer granularity. Based on the resource location of the first measurement result, we can filter the model's output to select the desired first measurement result.

[0650] In actual implementation, the specific output of the prediction model can be configured based on actual needs, which depends on how the prediction model is trained. However, regardless of how the prediction model is trained, the specific principles by which the prediction model will output data can be pre-configured. Based on the prediction model output data, further filtering methods or guiding data can be combined to obtain the required initial measurement results.

[0651] In one implementation, before the network device sends configuration signaling to the terminal device, the terminal device may also first send UE capability information to the network device, where the UE capability information is used to indicate whether the terminal device supports at least one of the following capabilities: predicted measurement results, predicted beam-level measurement results, predicted cell-level measurement results, predicted time domain measurement results, predicted frequency domain measurement results, predicted spatial domain measurement results, and predicted measurement results of at least two combined time domain, frequency domain, and spatial domain.

[0652] The network device then regenerates configuration signaling based on the UE capability information of the terminal device, wherein the configuration signaling only configures the terminal device with relevant predictions that its capabilities can support.

[0653] The above embodiments introduce a series of implementations for predicting measurement results based on a prediction model. In another implementation, the network device can also configure the terminal device to monitor the performance of the prediction model. When the performance of the prediction model is abnormal, the terminal device needs to report the performance abnormality information of the prediction model to the network device to avoid long-term reliance on the prediction model with abnormal performance to predict measurement results, which may cause problems with switching performance.

[0654] The following introduces the implementation of performance monitoring of the prediction model.

[0655] The network device may send performance monitoring information to the terminal device, where the performance monitoring information is used to indicate at least one of the following: a measurement duration interval, at least one third measurement object, and performance reporting information.

[0656] The measurement duration interval is the time interval for the terminal device to perform mobility measurements to achieve performance monitoring, and the performance reporting information is used to indicate the reporting conditions for the terminal device to report the performance anomaly information of the prediction model.

[0657] Furthermore, the third measurement object indicated by the performance monitoring information is a measurement object for which mobility measurement is required, wherein any third measurement object corresponds to a first measurement object at the same resource location. In other words, in this embodiment, mobility measurements are further performed at the resource location where the measurement result prediction was performed, and then the performance of the prediction model is evaluated based on the measured and predicted measurement results for the same resource location.

[0658] In one implementation, the performance monitoring information may directly include the resource location of each third measurement object, that is, the network device may directly indicate where specifically to perform the mobility measurement.

[0659] Alternatively, the performance monitoring information may further include a selection condition. The terminal device may then filter the at least one first measurement object according to the selection condition to obtain a third measurement object. In other words, the third measurement object is selected from the first measurement object. This implementation is equivalent to the network device implicitly indicating the resource location of the third measurement object based on the resource location of the first measurement object.

[0660] The selection conditions may include, for example, selecting multiple first measurement objects whose first measurement results at the same moment rank in the top k% in terms of credibility, selecting multiple first measurement objects whose first measurement results at the same frequency domain location rank in the top m% in terms of credibility, or selecting multiple first measurement objects whose first measurement results at the same spatial domain location rank in the top l% in terms of credibility. k, m, and l are all values ​​greater than 0. It should be understood that the selection conditions described above are only some possible implementations, and the specific selection conditions can be configured based on actual needs.

[0661] After the terminal device receives the performance monitoring information sent by the network device, it can use the measurement duration interval as a period, and perform mobility measurement every time the period arrives. Specifically, the terminal device can perform mobility measurement on at least one third measurement object corresponding to the moment when the period arrives, to obtain the third measurement results corresponding to each third measurement object. The "at least one third measurement object corresponding to the moment when the period arrives" can be understood as the time domain position of the third measurement object being at the moment when the period arrives.

[0662] Afterwards, the terminal device may determine a difference between at least one third measurement result and the corresponding first measurement result. Each third measurement object corresponds to a first measurement object with the same resource location, so that the third measurement objects and first measurement objects with the same resource location have corresponding third measurement results to the first measurement results.

[0663] Furthermore, the terminal device can determine whether the difference corresponding to at least one third measurement result and / or the credibility corresponding to at least one first measurement result triggers the corresponding reporting condition based on the reporting condition indicated by the performance reporting information. If it is determined to be triggered, the performance report information is sent to the network device. The performance report information is used to indicate that there is an abnormality in the performance of the prediction model.

[0664] The following describes different implementations of performance reporting information and how to report performance report information based on different performance reporting information.

[0665] First implementation: the performance reporting information includes an error threshold, a first counting threshold, a second counting threshold, and a first timer.

[0666] When the number of consecutive times the first event is triggered is greater than the first counting threshold, the first timer is started. The first event is that the difference corresponding to the third measurement result is greater than or equal to the error threshold. Then the first event can also indicate that the prediction result output by the prediction model is inaccurate.

[0667] Before the first timer times out, if the number of consecutive times the second event is triggered is greater than the second counting threshold, the first timer is stopped. The second event is that the difference corresponding to the third measurement result is less than the error threshold. In this case, the second event can also indicate that the prediction result output by the prediction model is relatively accurate.

[0668] If the first timer times out, performance report information is sent to the network device.

[0669] This implementation method is introduced below in conjunction with Figure 18, which is a schematic diagram of the implementation of sending performance report information provided in an embodiment of the present application.

[0670] Assume that the first counting threshold is set to 3 times and the second counting threshold is set to 4 times.

[0671] As shown in (a) in Figure 18, assuming that the first event is triggered once at time T1 and twice at time T2 (based on the frequency domain prediction and spatial domain prediction introduced above, it can be understood that there may be multiple first measurement results at the same time), then it can be determined that the consecutive number of times the first event is triggered is equal to 3 times (the first counting threshold), so the terminal device can start the first timer at time T2.

[0672] Afterwards, before the first timer expires, the first event is triggered once at T3, the second event is triggered twice at T4, the second event is triggered once at T5, and the second event is triggered once at T6. It can be determined that the consecutive number of times the second event is triggered is equal to 4 times (the second counting threshold). Therefore, the terminal device can stop the first timer at T6 and will not send performance report information to the network device afterwards.

[0673] Then, as shown in (b) in Figure 18, assuming that the first event is triggered once at time T1 and twice at time T2, it can be determined that the consecutive number of times the first event is triggered is equal to 3 times (the first counting threshold), so the terminal device can start the first timer at time T2.

[0674] Afterwards, assuming that the first event is triggered once at T3, the second event is triggered twice at T4, the first event is triggered once at T5, and the first event is triggered once at T6, and the first timer expires at T7, the condition of "the consecutive number of times the second event is triggered is greater than the second counting threshold" is still not met. Therefore, after the first timer expires at T7, the terminal device can send performance report information to the network device.

[0675] In this implementation, when the terminal device determines that the first event used to characterize the inaccurate prediction of the prediction model is continuously triggered, the terminal device can first start the first timer to provide a buffer judgment time. The terminal then determines whether the second event used to characterize the accurate prediction of the prediction model is triggered multiple times in a row within the duration of the first timer. In the case of multiple consecutive triggerings, the terminal device can determine that the accuracy of the prediction model can be guaranteed, so the terminal device stops the first timer and does not send performance report information to the network device. If the first timer times out, the terminal device can determine that the second event used to characterize the accurate prediction of the prediction model has not been triggered multiple times in a row within the duration of the first timer. In this case, the terminal device sends the performance report information to improve the necessity and correctness of sending performance report information to the network device.

[0676] Second implementation: the performance reporting information includes the error threshold, the third counting threshold, the fourth counting threshold and the first time window, and the first time window slides continuously.

[0677] The first time window in this embodiment can be understood as a sliding time window. Within any first time window, when the cumulative number of times the first event is triggered is greater than or equal to the third counting threshold, performance report information is sent to the network device; or,

[0678] In any first time window, when the cumulative number of times the second event is triggered is less than a fourth counting threshold, performance report information is sent to the network device. The first event and the second event in this embodiment are similar to those described above.

[0679] This implementation method is introduced below in conjunction with Figure 19, which is the second implementation diagram of sending performance report information provided in an embodiment of the present application.

[0680] Assume that the third counting threshold is set to 3 times and the fourth counting threshold is set to 4 times. As shown in FIG19 , assume that the first event is triggered once at time T1, the first event is triggered twice at time T2, the second event is triggered once at time T3, the first event is triggered twice at time T4, and the second event is triggered once at time T5, and assume that the first time window includes times T1 to T5.

[0681] Then it can be determined that the cumulative number of times the first event is triggered within the first time window is greater than 3 times (third counting threshold). Based on the judgment result, the terminal device can send performance report information to the network device after the first time window ends, for example.

[0682] In addition, the terminal device can determine that the cumulative number of times the second event is triggered within the first time window is less than 4 times (the fourth counting threshold), and the terminal device can also send performance report information to the network device after the first time window ends based on the judgment result.

[0683] By monitoring the cumulative number of times the first event or the second event is triggered within a first time window and comparing it with a corresponding counting threshold, it is possible to simply and effectively determine whether the accuracy of the prediction results output by the prediction model over a period of time is low, and then send performance report information to the network device. This implementation method can simply and effectively implement performance evaluation of the prediction model.

[0684] A third implementation: the performance reporting information includes a fifth counting threshold, a sixth counting threshold, a first credibility threshold, a second credibility threshold, a first duration, and a second timer.

[0685] If the consecutive number of times the third event is triggered is greater than or equal to the fifth counting threshold, and / or the third event is continuously triggered within the first time period, the second timer is started. The third event is that the credibility of the first measurement result is less than the first credibility threshold.

[0686] The first duration may be a specific duration indicated by the network device, or may be a duration indicated by a sliding window. Continuously triggering the third event within the first duration means that the credibility of the first measurement result within the first duration is less than the first credibility threshold.

[0687] Before the second timer times out, if the number of consecutive triggering of the fourth event is greater than or equal to a sixth counting threshold, and / or if the fourth event is continuously triggered within the first time period, stopping the second timer, the fourth event being that the credibility of the third measurement result is greater than or equal to the second credibility threshold;

[0688] If the second timer times out, performance report information is sent to the network device.

[0689] This implementation method is similar to the first implementation method introduced above, except that the first implementation method determines whether to trigger the first event or the second event based on the difference of the third measurement result, while in this embodiment, the triggering of the third event or the fourth event is determined based on the credibility of the first measurement result. This embodiment will not further illustrate the specific implementation.

[0690] In this implementation, when the terminal device determines that the third event used to characterize the inaccurate prediction of the prediction model is continuously triggered, the terminal device can first start the second timer to provide a buffer judgment time. The terminal then determines whether the fourth event used to characterize the accurate prediction of the prediction model is triggered multiple times in a row within the duration of the second timer. In the case of multiple consecutive triggering, the terminal device can determine that the accuracy of the prediction model can be guaranteed, so the terminal device stops the second timer and does not send performance report information to the network device. If the second timer times out, the terminal device can determine that the fourth event used to characterize the accurate prediction of the prediction model has not been triggered multiple times in a row within the duration of the second timer. In this case, the terminal device sends the performance report information to improve the necessity and correctness of sending performance report information to the network device.

[0691] Fourth implementation: the performance reporting information includes the seventh counting threshold, the eighth counting threshold, the first credibility threshold, the second credibility threshold, the second duration and the second time window, and the second time window slides continuously.

[0692] The second time window in this embodiment can be understood as a sliding time window. Within any second time window, when the cumulative number of times the third event is triggered is greater than or equal to the seventh counting threshold, and / or the third event is continuously triggered within the second time period, performance report information is sent to the network device. The third event is that the credibility of the first measurement result is less than the first credibility threshold. The understanding of the second time period is similar to the understanding of the first time period described above and is not repeated here. Alternatively,

[0693] Within any second time window, when the cumulative number of times the fourth event is triggered is less than the eighth counting threshold, and / or the fourth event is not continuously triggered within the second time period, performance report information is sent to the network device, and the fourth event is that the credibility of the third measurement result is greater than or equal to the second credibility threshold.

[0694] This implementation method is similar to the second implementation method introduced above, except that the second implementation method determines whether to trigger the first event or the second event based on the difference of the third measurement result, while in this embodiment, the triggering of the third event or the fourth event is determined based on the credibility of the first measurement result. This embodiment will not further illustrate the specific implementation.

[0695] By monitoring the cumulative number of times the third event or the fourth event is triggered within the second time window (or the second duration) and comparing it with the corresponding counting threshold, it is possible to simply and effectively determine whether the accuracy of the prediction results output by the prediction model within a period of time is low, and then send performance report information to the network device. This implementation method can simply and effectively implement performance evaluation of the prediction model.

[0696] Figure 20 is a schematic diagram of the structure of a terminal device provided in an embodiment of the present application. Referring to Figure 20 , terminal device 200 may include a transceiver 21, a memory 22, and a processor 23. Transceiver 21 may include a transmitter and / or a receiver. The transmitter may also be referred to as a transmitter, a transmitter, a transmitting port, a transmitting interface, or similar descriptions. The receiver may also be referred to as a receiver, a receiver, a receiving port, a receiving interface, or similar descriptions. For example, transceiver 21, memory 22, and processor 23 are interconnected via a bus 24.

[0697] The memory 22 is used to store program instructions; the processor 23 is used to execute the program instructions stored in the memory, so as to cause the terminal device 120 to perform any of the above-mentioned measurement result prediction methods or performance monitoring methods. The receiver of the transceiver 21 can be used to perform the receiving function of the terminal device in the above-mentioned measurement result prediction method or performance monitoring method.

[0698] Figure 21 is a schematic diagram of the structure of a network device provided in an embodiment of the present application. Referring to Figure 21 , network device 210 may include a transceiver 31, a memory 32, and a processor 33. Transceiver 31 may include a transmitter and / or a receiver. The transmitter may also be referred to as a transmitter, a transmitter, a transmitting port, a transmitting interface, or similar descriptions. The receiver may also be referred to as a receiver, a receiver, a receiving port, a receiving interface, or similar descriptions. For example, transceiver 31, memory 32, and processor 33 are interconnected via a bus 34.

[0699] The memory 32 is used to store program instructions; the processor 33 is used to execute the program instructions stored in the memory, so as to cause the network device 130 to perform any of the above-mentioned measurement result prediction methods or performance monitoring methods. The receiver of the transceiver 31 can be used to perform the receiving function of the network device in the above-mentioned measurement result prediction method or performance monitoring method.

[0700] The present embodiment provides a chip. The chip includes a processor configured to invoke a computer program stored in a memory to execute the technical solution of the above embodiment. The implementation principles and technical effects are similar to those of the above-mentioned related embodiments and will not be further described here.

[0701] The embodiments of the present application also provide a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the above-mentioned method is implemented. The methods described in the above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. If implemented in software, the functions can be stored as one or more instructions or codes on a computer-readable medium or transmitted on a computer-readable medium. Computer-readable media can include computer storage media and communication media, and can also include any medium that can transfer a computer program from one place to another. The storage medium can be any target medium that can be accessed by a computer.

[0702] In one possible implementation, computer-readable media may include RAM, ROM, compact disc read-only memory (CD-ROM) or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium designed to carry or store the desired program code in the form of instructions or data structures and accessible by a computer. Moreover, any connection is appropriately referred to as a computer-readable medium. For example, if a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL) or wireless technologies such as infrared, radio and microwave are used to transmit software from a website, server or other remote source, the coaxial cable, fiber optic cable, twisted pair, DSL or wireless technologies such as infrared, radio and microwave are included in the definition of medium. Disk and optical disk as used herein include optical disk, laser disk, optical disk, digital versatile disk (DVD), floppy disk and Blu-ray disk, where disks generally reproduce data magnetically, while optical disks reproduce data optically using lasers. Combinations of the above should also be included within the scope of computer-readable media.

[0703] An embodiment of the present application provides a computer program product, which includes a computer program. When the computer program is executed, the computer executes the above method.

[0704] The present application embodiment is described with reference to the flow chart and / or block diagram of the method, device (system) and computer program product according to the embodiment of the present application.It should be understood that each flow process and / or box in the flow chart and / or block diagram and the combination of the flow process and / or box in the flow chart and / or block diagram can be realized by computer program instructions.These computer program instructions can be provided to the processing unit of general-purpose computer, special-purpose computer, embedded processing machine or other programmable device to produce a machine, so that the instruction executed by the processing unit of computer or other programmable data processing device produces the device for realizing the function specified in one flow chart flow or multiple flows and / or one block or multiple blocks of block diagram.

[0705] The above specific implementation methods further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above are only specific implementation methods of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the present invention should be included in the scope of protection of the present invention.

Claims

1. A measurement result prediction method, characterized in that: Applied to a terminal device, the method includes: receiving a configuration signaling from a network device, wherein the configuration signaling is used to indicate at least one of the following information: time domain information, frequency domain information, spatial domain information, and reporting indication information; Determine first measurement results respectively predicted for at least one first measurement object, where a resource location of the first measurement object is indicated by at least one of the time domain information, the frequency domain information, and the spatial domain information; Send the first measurement result to the network device according to the reporting instruction information.

2. The method according to claim 1, characterized in that The determining of the first measurement results respectively predicted for the at least one first measurement object includes: Obtaining a second measurement result obtained by measuring a second measurement object, where a time domain position of the second measurement object is before a time domain position of the first measurement object, and the time domain position of the second measurement object is determined according to a measurement configuration of the mobility measurement; The second measurement result is input into a prediction model to obtain a first measurement result of each of the at least one first measurement object.

3. The method according to claim 2, characterized in that Inputting the second measurement result into a prediction model to obtain the first measurement result of each of the at least one first measurement object includes: The second measurement result is input into the prediction model, so that the prediction model outputs the first measurement result of each of the at least one first measurement object.

4. The method according to claim 2, characterized in that Inputting the second measurement result into a prediction model to obtain the first measurement result of each of the at least one first measurement object includes: inputting the second measurement result into the prediction model so that the prediction model outputs a plurality of predicted measurement results; From the plurality of predicted measurement results, a first measurement result of each of the at least one first measurement object is obtained.

5. The method according to any one of claims 2 to 4, characterized in that: The time domain information is used to indicate the first step length i; The time domain positions of the at least one first measurement object are: N+i moment, N+2i moment,…, N+mi moment, where N is the moment corresponding to the time domain position of the second measurement object, and the first step length i and the first number m are both values ​​greater than or equal to 0.

6. The method according to claim 5, characterized in that The first number m is indicated by the time domain information; Alternatively, the first number m is determined according to the number of first measurement results output by the prediction model, wherein the prediction model only outputs first measurement results whose credibility is greater than a first threshold.

7. The method according to any one of claims 2 to 6, characterized in that: The frequency domain information is used to indicate at least one first frequency domain position to be predicted, and the frequency domain positions of the at least one first measurement object are respectively the first frequency domain positions.

8. The method according to claim 7, characterized in that The frequency domain information is further used to indicate a second frequency domain position to be measured, and the frequency domain position of the second measurement object is the second frequency domain position.

9. The method according to claim 8, characterized in that The first frequency domain position and the second frequency domain position are frequency domain positions in the same cell; The first frequency domain position and the second frequency domain position do not overlap, or the first frequency domain position is a broadband frequency domain position corresponding to the second frequency domain position.

10. The method according to claim 8, characterized in that The first frequency domain position is a frequency domain position in a first cell, and the second frequency domain position is a frequency domain position in a second cell; The frequency points of the first cell and the second cell are different; or the standards of the first cell and the second cell are different.

11. The method according to any one of claims 2 to 10, characterized in that: The spatial domain information is used to indicate at least one first beam to be predicted, and the at least one first measurement object corresponds to each of the first beams; or, The spatial domain information is used to indicate at least one third cell to be predicted, and the at least one first measurement object corresponds to each of the third cells.

12. The method according to claim 11, characterized in that The spatial domain information is further used to indicate at least one second beam to be measured, and at least one second measurement object corresponds to each second beam; or, The spatial domain information is further used to indicate at least one fourth cell to be measured, and at least one second measurement object corresponds to each fourth cell.

13. The method according to any one of claims 7 to 12, characterized in that: The number of the at least one first measurement object is determined according to the number of first measurement results output by the prediction model, wherein the prediction model only outputs first measurement results whose credibility is greater than a first threshold.

14. The method according to any one of claims 2 to 13, characterized in that: If the configuration signaling does not indicate the time domain information, the time domain position of the first measurement object is the same as the time domain position of the second measurement object; and If the configuration signaling does not indicate the frequency domain information, the frequency domain position of the first measurement object is the same as the frequency domain position of the second measurement object; and If the configuration signaling does not indicate the spatial domain information, the spatial domain position of the first measurement object is the same as the spatial domain position of the second measurement object.

15. The method according to any one of claims 1 to 14, characterized in that The reporting indication information is used to instruct reporting of the first measurement result of each of the at least one first measurement object.

16. The method according to any one of claims 1 to 14, characterized in that The configuration signaling also includes a second threshold; The reporting indication information is used to indicate to report the first measurement result whose reliability is greater than the second threshold.

17. The method according to any one of claims 1 to 14, characterized in that The method further comprises: If there is a first measurement result that meets a preset threshold corresponding to the measurement event, determining first event information, where the first event information is used to indicate that the measurement event is expected to be triggered at a first moment, where the first moment is a moment corresponding to the first measurement result that meets the preset threshold; The reporting instruction information is used to instruct reporting of the first event information.

18. The method according to any one of claims 15 to 17, characterized in that: The reporting instruction information is further used to instruct reporting of the second measurement result.

19. The method according to claim 18, characterized in that The method further comprises: First indication information is sent to the network device, where the first indication information is used to indicate that the at least one first measurement result is predicted and the at least one second measurement result is obtained by measurement.

20. The method according to any one of claims 1 to 19, characterized in that The reporting indication information is further used to indicate a first period for reporting the first measurement result; or, The reporting indication information is used to indicate a measurement event that triggers reporting of the first measurement result.

21. The method according to any one of claims 1 to 20, characterized in that The first measurement object is a secondary synchronization signal block (SSB), and the first measurement result is at a cell level or an SSB level; or The first measurement object is a channel state information reference signal CSI-RS, and the first measurement result is at a cell level or a CSI-RS level.

22. The method according to any one of claims 1 to 21, characterized in that The method further comprises: Sending capability information to the network device, where the capability information is used to indicate whether the terminal device supports at least one of the following capabilities: predicted measurement results, predicted beam-level measurement results, predicted cell-level measurement results, predicted time-domain measurement results, predicted frequency-domain measurement results, predicted spatial-domain measurement results, and predicted measurement results of at least two combined time-domain, frequency-domain, and spatial-domain measurements; The configuration signaling is determined according to the capability information.

23. A measurement result prediction method, characterized in that: Applied to a network device, the method includes: Sending configuration signaling to the terminal device, wherein the configuration signaling is used to indicate at least one of the following information: time domain information, frequency domain information, spatial domain information, and reporting indication information; Receive at least one first measurement result from a terminal device, wherein the at least one first measurement result is predicted for at least one first measurement object, and the resource location of the first measurement object is indicated by at least one item of the time domain information, the frequency domain information, and the spatial domain information.

24. The method according to claim 23, wherein The at least one first measurement result is obtained by inputting a second measurement result into a prediction model, wherein the second measurement result is obtained by measuring a second measurement object; The time domain position of the second measurement object is before the time domain position of the first measurement object, and the time domain position of the second measurement object is determined according to the measurement configuration of the mobility measurement.

25. The method according to claim 24, characterized in that The prediction model is used to output a plurality of predicted measurement results, and the first measurement result of each of the at least one first measurement object is obtained from the plurality of predicted measurement results.

26. The method according to claim 24, characterized in that The prediction model is used to output a first measurement result of each of the at least one first measurement object.

27. The method according to any one of claims 24 to 26, characterized in that The time domain information is used to indicate the first step length i; The time domain positions of the at least one first measurement object are: N+i moment, N+2i moment,…, N+mi moment, where N is the moment corresponding to the time domain position of the second measurement object, and the first step length i and the first number m are both values ​​greater than or equal to 0.

28. The method according to claim 27, characterized in that The first number m is indicated by the time domain information; Alternatively, the first number m is determined according to the number of first measurement results output by the prediction model, wherein the prediction model only outputs first measurement results whose credibility is greater than a first threshold.

29. The method according to any one of claims 24 to 28, characterized in that The frequency domain information is used to indicate at least one first frequency domain position to be predicted, and the frequency domain positions of the at least one first measurement object are respectively the first frequency domain positions.

30. The method according to claim 29, wherein The frequency domain information is further used to indicate a second frequency domain position to be measured, and the frequency domain position of the second measurement object is the second frequency domain position.

31. The method according to claim 30, characterized in that The first frequency domain position and the second frequency domain position are frequency domain positions in the same cell; The first frequency domain position and the second frequency domain position do not overlap, or the first frequency domain position is a broadband frequency domain position corresponding to the second frequency domain position.

32. The method according to claim 30, wherein The first frequency domain position is a frequency domain position in a first cell, and the second frequency domain position is a frequency domain position in a second cell; The frequency points of the first cell and the second cell are different; or the standards of the first cell and the second cell are different.

33. The method according to any one of claims 24 to 32, characterized in that The spatial domain information is used to indicate at least one first beam to be predicted, and the at least one first measurement object corresponds to each of the first beams; or, The spatial domain information is used to indicate at least one third cell to be predicted, and the at least one first measurement object corresponds to each of the third cells.

34. The method according to claim 33, wherein The spatial domain information is further used to indicate at least one second beam to be measured, and at least one second measurement object corresponds to each second beam; or, The spatial domain information is further used to indicate at least one fourth cell to be measured, and at least one second measurement object corresponds to each fourth cell.

35. The method according to any one of claims 29 to 34, characterized in that The number of the at least one first measurement object is determined according to the number of first measurement results output by the prediction model, wherein the prediction model only outputs first measurement results whose credibility is greater than a first threshold.

36. The method according to any one of claims 24 to 35, wherein: If the configuration signaling does not indicate the time domain information, the time domain position of the first measurement object is the same as the time domain position of the second measurement object; and If the configuration signaling does not indicate the frequency domain information, the frequency domain position of the first measurement object is the same as the frequency domain position of the second measurement object; and If the configuration signaling does not indicate the spatial domain information, the spatial domain position of the first measurement object is the same as the spatial domain position of the second measurement object.

37. The method according to any one of claims 23 to 36, characterized in that The reporting indication information is used to instruct reporting of the first measurement result of each of the at least one first measurement object.

38. The method according to any one of claims 23 to 36, characterized in that The configuration signaling also includes a second threshold; The reporting indication information is used to indicate to report the first measurement result whose reliability is greater than the second threshold.

39. The method according to any one of claims 23 to 36, characterized in that The method further comprises: First event information is received from the terminal device, where the first event information is used to indicate that a measurement event is expected to be triggered at a first moment, where the first moment is a moment corresponding to a first measurement result that meets a preset threshold of the measurement event.

40. The method according to any one of claims 37 to 39, characterized in that The reporting instruction information is further used to instruct reporting of the second measurement result.

41. The method according to claim 40, characterized in that The method further comprises: First indication information is received from a terminal device, where the first indication information is used to indicate that the at least one first measurement result is predicted and the at least one second measurement result is obtained by measurement.

42. The method according to any one of claims 23 to 41, wherein: The reporting indication information is further used to indicate a first period for reporting the first measurement result; or, The reporting indication information is used to indicate a measurement event that triggers reporting of the first measurement result.

43. The method according to any one of claims 23 to 42, characterized in that The first measurement object is an SSB, and the first measurement result is a cell-level or SSB-level measurement result; or, The first measurement object is a CSI-RS, and the first measurement result is at a cell level or a CSI-RS level.

44. The method according to any one of claims 23 to 43, wherein: The method further comprises: Receiving capability information from a terminal device, the capability information being used to indicate whether the terminal device supports at least one of the following capabilities: predicted measurement results, predicted beam-level measurement results, predicted cell-level measurement results, predicted time-domain measurement results, predicted frequency-domain measurement results, predicted spatial-domain measurement results, and predicted combined measurement results of at least two of the time-domain, frequency-domain, and spatial-domain; The configuration signaling is determined according to the capability information.

45. A performance monitoring method, characterized in that: Applied to a terminal device, the method includes: receiving performance monitoring information from a network device, where the performance monitoring information is used to indicate at least one third measurement object to be measured, where any third measurement object corresponds to a first measurement object having the same resource location, and a first measurement result of the first measurement object is predicted; determining a difference between a third measurement result of the at least one third measurement object and the corresponding first measurement result; Performance report information is sent to the network device based on the difference corresponding to each of the at least one third measurement results and / or the credibility corresponding to each of the at least one first measurement results, where the performance report information is used to indicate that there is an abnormality in the performance of the prediction model.

46. ​​The method according to claim 45, characterized in that The performance monitoring information includes a resource location of each of the third measurement objects; Alternatively, the performance monitoring information includes a selection condition, and the third measurement object is obtained by screening the at least one first measurement object according to the selection condition.

47. The method according to claim 45 or 46, characterized in that The performance monitoring information is also used to indicate a measurement duration interval; The method further comprises: Perform mobility measurement on at least one third measurement object with the measurement duration interval as a period to obtain third measurement results corresponding to each of the third measurement objects.

48. The method according to any one of claims 45 to 47, characterized in that The performance monitoring information is also used to indicate performance reporting information; The sending performance report information to the network device according to the difference corresponding to each of the at least one third measurement results and / or the credibility corresponding to each of the at least one first measurement results includes: If the difference corresponding to each of the at least one third measurement results and / or the credibility corresponding to each of the at least one first measurement results meet the reporting condition indicated by the performance reporting information, the network device sends the performance report information.

49. The method according to claim 48, characterized in that The performance reporting information includes an error threshold, a first counting threshold, a second counting threshold and a first timer; The reporting conditions indicated by the performance reporting information are: When the number of consecutive times that a first event is triggered is greater than or equal to the first counting threshold, starting the first timer, the first event being that a difference corresponding to the third measurement result is greater than or equal to the error threshold; Before the first timer times out, if the number of consecutive times a second event is triggered is greater than or equal to the second counting threshold, stopping the first timer, where the second event is that a difference corresponding to the third measurement result is less than the error threshold; If the first timer times out, the performance report information is sent to the network device.

50. The method according to claim 48, wherein The performance reporting information includes an error threshold, a third counting threshold, a fourth counting threshold, and a first time window; The reporting conditions indicated by the performance reporting information are: within any of the first time windows, when a cumulative number of times a first event is triggered is greater than or equal to the third counting threshold, sending the performance report information to the network device, the first event being that a difference value corresponding to the third measurement result is greater than or equal to the error threshold; or, Within any of the first time windows, when the cumulative number of times a second event is triggered is less than the fourth counting threshold, the performance report information is sent to the network device, and the second event is that the difference corresponding to the third measurement result is less than the error threshold.

51. The method according to claim 48, wherein The performance reporting information includes a fifth counting threshold, a sixth counting threshold, a first credibility threshold, a second credibility threshold, a first duration, and a second timer; The reporting conditions indicated by the performance reporting information are: If the number of consecutive triggering of the third event is greater than or equal to the fifth counting threshold, and / or the third event is continuously triggered within the first duration, starting the second timer, wherein the third event is that the credibility of the first measurement result is less than the first credibility threshold; Before the second timer times out, if the number of consecutive triggering of the fourth event is greater than or equal to the sixth counting threshold, and / or if the fourth event is continuously triggered within the first time period, stopping the second timer, the fourth event being that the credibility of the third measurement result is greater than or equal to the second credibility threshold; If the second timer times out, the performance report information is sent to the network device.

52. The method according to claim 48, wherein The performance reporting information includes a seventh counting threshold, an eighth counting threshold, a first credibility threshold, a second credibility threshold, a second duration, and a second time window; The reporting conditions indicated by the performance reporting information are: Within any second time window, when the cumulative number of times a third event is triggered is greater than or equal to the seventh counting threshold, and / or the third event is continuously triggered within the second duration, sending the performance report information to the network device, where the third event is that the credibility of the first measurement result is less than the first credibility threshold; or, Within any of the second time windows, when the cumulative number of times the fourth event is triggered is less than the eighth counting threshold, and / or the fourth event is not continuously triggered within the second time period, the performance report information is sent to the network device, and the fourth event is that the credibility of the third measurement result is greater than or equal to the second credibility threshold.

53. A performance monitoring method, characterized in that: Applied to a network device, the method includes: Sending performance monitoring information to the terminal device, where the performance monitoring information is used to indicate at least one third measurement object to be measured, where any third measurement object corresponds to a first measurement object with the same resource location, and a first measurement result of the first measurement object is predicted; Performance report information is received from the terminal device, where the performance report information is used to indicate that there is an abnormality in the performance of the prediction model.

54. The method according to claim 53, wherein The performance monitoring information includes a resource location of each of the third measurement objects; Alternatively, the performance monitoring information includes a selection condition, and the third measurement object is obtained by screening the at least one first measurement object according to the selection condition.

55. The method according to claim 53 or 54, characterized in that The performance monitoring information is further used to indicate a measurement duration interval, where the measurement duration interval is used to indicate a period for performing mobility measurement on the at least one third measurement object, and a result obtained by performing the mobility measurement on the third measurement object is a third measurement result.

56. The method according to any one of claims 53 to 55, characterized in that The performance monitoring information is further used to indicate performance reporting information, and the performance reporting information is used to indicate a reporting condition of the performance report information.

57. The method according to claim 56, characterized in that The performance reporting information includes an error threshold, a first counting threshold, a second counting threshold and a first timer; The reporting conditions indicated by the performance report information are: When the number of consecutive times that a first event is triggered is greater than or equal to the first counting threshold, starting the first timer, the first event being that a difference corresponding to the third measurement result is greater than or equal to the error threshold; Before the first timer times out, if the number of consecutive times a second event is triggered is greater than or equal to the second counting threshold, stopping the first timer, where the second event is that a difference corresponding to the third measurement result is less than the error threshold; If the first timer times out, the performance report information is reported.

58. The method according to claim 56, wherein The performance reporting information includes an error threshold, a third counting threshold, a fourth counting threshold, and a first time window; The reporting conditions indicated by the performance report information are: Within any of the first time windows, when the cumulative number of times a first event is triggered is greater than or equal to the third counting threshold, reporting the performance report information, where the first event is that a difference corresponding to the third measurement result is greater than or equal to the error threshold; or, In any of the first time windows, when the cumulative number of times a second event is triggered is less than the fourth counting threshold, the performance report information is reported, and the second event is that the difference corresponding to the third measurement result is less than the error threshold.

59. The method according to claim 56, characterized in that The performance reporting information includes a fifth counting threshold, a sixth counting threshold, a first credibility threshold, a second credibility threshold, a first duration, and a second timer; The reporting conditions indicated by the performance report information are: If the number of consecutive triggering of the third event is greater than or equal to the fifth counting threshold, and / or the third event is continuously triggered within the first duration, starting the second timer, wherein the third event is that the credibility of the first measurement result is less than the first credibility threshold; Before the second timer times out, if the number of consecutive triggering of the fourth event is greater than or equal to the sixth counting threshold, and / or if the fourth event is continuously triggered within the first time period, stopping the second timer, the fourth event being that the credibility of the third measurement result is greater than or equal to the second credibility threshold; If the second timer times out, the performance report information is reported.

60. The method according to claim 56, wherein The performance reporting information includes a seventh counting threshold, an eighth counting threshold, a first credibility threshold, a second credibility threshold, a second duration, and a second time window; The reporting conditions indicated by the performance report information are: Within any second time window, when the cumulative number of times a third event is triggered is greater than or equal to the seventh counting threshold, and / or the third event is continuously triggered within the second duration, reporting the performance report information, where the third event is that the credibility of the first measurement result is less than the first credibility threshold; or, Within any of the second time windows, when the cumulative number of times the fourth event is triggered is less than the eighth counting threshold, and / or the fourth event is not continuously triggered within the second time period, the performance report information is reported, and the fourth event is that the credibility of the third measurement result is greater than or equal to the second credibility threshold.

61. A terminal device, characterized in that: include: processor and memory; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the terminal device performs the method according to any one of claims 1-22 or 45-52.

62. A network device, characterized in that include: processor and memory; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the network device performs the method according to any one of claims 23-44 or 53-60.

63. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 60 is implemented.

64. A computer program product, characterized in that The method comprises a computer program which, when being executed, causes a computer to execute the method according to any one of claims 1 to 60.

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