Wireless communication method, terminal device, and network device

Abstract

Provided are a wireless communication method, a terminal device, and a network device. The method comprises: a terminal device sends a first measurement report, wherein the first measurement report comprises prediction information of a first measurement event. According to the present application, a terminal device can predict a first measurement event to obtain prediction information and report the prediction information. For example, a terminal device makes a trigger decision for a measurement event in advance and reports a first measurement report in advance. On the basis of the first measurement report, a network device can obtain the proper handover time and the handover target earlier, so as to make sufficient handover preparation, thereby improving the handover performance and the handover success rate.

Description

Wireless communication method, terminal device, and network device Technical Field

[0001] The present application relates to the field of communication technology, and more specifically, to a wireless communication method, terminal equipment, and network equipment. Background Art

[0002] To implement mobility management, terminal devices need to perform measurements and report them via measurement reports. In related technologies, measurement reports obtained by network devices contain measurement events based on the measurement results obtained by the terminal devices. Handover decisions made by network devices based on these measurement reports can lead to numerous issues.

[0003] Summary of the Invention

[0004] The present application provides a wireless communication method, a terminal device, and a network device. The following introduces various aspects of the present application.

[0005] In a first aspect, a wireless communication method is provided, the method comprising: a terminal device sending a first measurement report; wherein the first measurement report includes prediction information of a first measurement event.

[0006] In a second aspect, a wireless communication method is provided, the method comprising: a network device receiving a first measurement report sent by a terminal device; wherein the first measurement report includes prediction information of a first measurement event.

[0007] According to a third aspect, a terminal device is provided, comprising: a sending unit configured to send a first measurement report; wherein the first measurement report includes prediction information of a first measurement event.

[0008] In a fourth aspect, a network device is provided, comprising: a receiving unit, configured to receive a first measurement report sent by a terminal device; wherein the first measurement report includes prediction information of a first measurement event.

[0009] In a fifth aspect, a terminal device is provided, comprising a processor and a memory, wherein the memory is used to store one or more computer programs, and the processor is used to call the computer program in the memory so that the terminal device executes part or all of the steps in the method of the first aspect.

[0010] In a sixth aspect, a network device is provided, comprising a processor, a memory, and a transceiver, wherein the memory is used to store one or more computer programs, and the processor is used to call the computer program in the memory so that the network device executes part or all of the steps in the method of the second aspect.

[0011] In a seventh aspect, an embodiment of the present application provides a communication system, which includes the above-mentioned terminal device and / or network device. In another possible design, the system may also include other devices that interact with the terminal device or network device in the solution provided in the embodiment of the present application.

[0012] In an eighth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and the computer program enables a terminal device and / or a network device to execute part or all of the steps in the methods of the above aspects.

[0013] In a ninth aspect, embodiments of the present application provide a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a terminal device and / or a network device to perform some or all of the steps of the methods described in each of the above aspects. In some implementations, the computer program product may be a software installation package.

[0014] In the tenth aspect, an embodiment of the present application provides a chip, which includes a memory and a processor. The processor can call and run a computer program from the memory to implement some or all of the steps described in the methods of the above aspects.

[0015] Through this application, a terminal device can predict the first measurement event to obtain prediction information and report it. For example, the terminal device can make a triggering decision for the measurement event in advance and report the first measurement report in advance. Based on this, the network device can know the appropriate handover time and handover target in advance, so as to make sufficient handover preparations, thereby improving handover performance and handover success rate. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] FIG1 is a schematic diagram of a wireless communication system used in an embodiment of the present application.

[0017] FIG. 2 is an example diagram showing that a measurement event is triggered (occurs) after a measurement result satisfies an entry condition for a period of time.

[0018] FIG3 is an example diagram of a measurement model.

[0019] FIG4 is a schematic flowchart of a wireless communication method provided in an embodiment of the present application.

[0020] FIG5 is a schematic diagram of predicting measurement results to increase the frequency of measurement results in the time domain according to an embodiment of the present application.

[0021] FIG6 is a schematic diagram of a measurement model provided in an embodiment of the present application.

[0022] FIG7 is a schematic diagram of another measurement model provided in an embodiment of the present application.

[0023] FIG8 is a schematic structural diagram of a terminal device provided in an embodiment of the present application.

[0024] FIG9 is a schematic structural diagram of a network device provided in an embodiment of the present application.

[0025] FIG10 is a schematic structural diagram of a device for communication provided in an embodiment of the present application. DETAILED DESCRIPTION

[0026] The technical solution in this application will be described below with reference to the accompanying drawings.

[0027] Communication System

[0028] FIG1 illustrates a wireless communication system 100 used in an embodiment of the present application. The wireless communication system 100 may include communication devices. The communication devices may include a network device 110 and a terminal device 120. The network device 110 may be a device that communicates with the terminal device 120.

[0029] FIG1 exemplarily shows a network device and two terminals. Optionally, the wireless communication system 100 may include multiple network devices and each network device may include other numbers of terminal devices within its coverage area, which is not limited in the embodiments of the present application.

[0030] Optionally, the wireless communication system 100 may further include other network entities such as a network controller and a mobility management entity, which is not limited in the embodiment of the present application.

[0031] It should be understood that the technical solutions of the embodiments of the present application can be applied to various communication systems, such as: fifth generation (5G) system or new radio (NR), long term evolution (LTE) system, LTE frequency division duplex (FDD) system, LTE time division duplex (TDD), etc. The technical solutions provided in this application can also be applied to future communication systems, such as the sixth generation mobile communication system, satellite communication system, etc.

[0032] The terminal device in the embodiments of the present application may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station (MS), mobile terminal (MT), remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device. The terminal device in the embodiments of the present application may refer to a device that provides voice and / or data connectivity to a user and can be used to connect people, objects and machines, such as a handheld device with wireless connection function, a vehicle-mounted device, etc. The terminal device in the embodiments of the present application can be a mobile phone, a tablet computer, a laptop computer, a PDA, a mobile internet device (MID), a wearable device, a virtual reality (VR) device, an augmented reality (AR) 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. Optionally, the UE can be used to act as a base station. For example, the UE can act as a scheduling entity that provides sidelink signals between UEs in vehicle-to-everything (V2X) or device-to-device (D2D). For example, a cellular phone and a car communicate with each other using sidelink signals. The cellular phone and smart home devices communicate without relaying the communication signal through a base station.

[0033] The network device in the embodiments of the present application may be a device for communicating with a terminal device. The network device may also include an access network device. The access network device may provide communication coverage for a specific geographical area and may communicate with the terminal device 120 located within the coverage area. The access network device may also be referred to as a radio access network device or a base station. The access network device in the embodiments of the present application may refer to a radio access network (RAN) node (or device) that connects the terminal device to a wireless network. Access network equipment can broadly cover various names as follows, or replace the following names, such as: NodeB, evolved NodeB (eNB), next generation NodeB (gNB), relay station, access point, transmitting and receiving point (TRP), transmitting point (TP), master eNB (MeNB), secondary eNB (SeNB), multi-standard radio (MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, etc. The base station can be a macro base station, a micro base station, a relay node, a donor node, or the like, or a combination thereof. A base station may also refer to a communication module, modem, or chip used to be set in the aforementioned device or apparatus. A base station may also be a mobile switching center and a device that performs base station functions in D2D, V2X, and machine-to-machine (M2M) communications, a network-side device in a 6G network, or a device that performs base station functions in future communication systems. A base station may support networks with the same or different access technologies. The embodiments of this application do not limit the specific technology and specific device form used by the access network device.

[0034] Base stations can be fixed or mobile. For example, a helicopter or drone can be configured to act as a mobile base station, and one or more cells can move based on the location of the mobile base station. In other examples, a helicopter or drone can be configured to act as a device that communicates with another base station.

[0035] The communication equipment involved in a wireless communication system can include not only access network equipment and terminal equipment, but also core network elements. Core network elements can be implemented by devices, that is, core network elements are core network devices. It is understood that core network devices can also be a type of network equipment.

[0036] The core network elements in the embodiments of the present application may include network elements that process and forward user signaling and data. For example, the core network equipment may include core network access and mobility management function (AMF), session management function (SMF), user plane gateway, location management function (LMF) and other core network equipment. Among them, the user plane gateway may be a server with functions such as mobility management, routing, and forwarding of user plane data, generally located on the network side, such as a serving gateway (SGW) or a packet data network gateway (PGW) or a user plane network element function entity (UPF). Of course, the core network may also include other network elements, which are not listed here one by one.

[0037] In some deployments, the network device in the embodiments of the present application may refer to a CU or a DU, or the network device may include a CU and a DU. The gNB may also include an AAU.

[0038] The network equipment and terminal devices can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; they can also be deployed in the air on aircraft, balloons, and satellites. The embodiments of this application do not limit the scenarios in which the network equipment and terminal devices are located.

[0039] It should be understood that all or part of the functions of the communication device in this application can also be implemented through software functions running on hardware, or through virtualization functions instantiated on a platform (such as a cloud platform).

[0040] Mobility Management

[0041] Mobility management is a core process in the control plane process of some communication standards. In some cellular communication systems, mobility management involves switching radio resource control (RRC) connections between different cells.

[0042] To enable handover between cells, the terminal device needs to report measurement reports. Measurement reports can be divided into three types based on the reporting method: periodic reporting; reporting based on measurement events; and reporting based on measurement events and continuing periodic reporting thereafter.

[0043] For example, in second-generation communication systems, measurement reports are always reported at a certain period. Starting from third-generation communication systems, such as WCDMA, and including fourth-generation communication systems LTE and fifth-generation communication systems NR, measurement reports can be reported in any of the three ways mentioned above.

[0044] Regardless of the reporting form of the measurement report, the measurement report may include specific measurement events and / or measurement results. The reported measurement results may include, for example, the signal strength of the cell, or the signal quality. The reported cells may include the current serving cell and the neighboring cells. The objects of measurement may be the same frequency, different frequency or frequency of different communication systems. The signal strength may be represented by the reference signal received power (RSRP) with dBm as the dimension. The signal quality may be represented by the reference signal received quality (RSRQ) with dB as the dimension.

[0045] For the method based on measurement event reporting, the terminal device can report a measurement report in response to a measurement event trigger.

[0046] The triggering of a measurement event may include the following basic elements: measurement results, comparison parameters, and a time to trigger (TTT) timer, which are described below.

[0047] The measurement results may include measurement results of the serving cell and / or neighboring cells. The measurement results may be represented, for example, by the signal strength of the cells.

[0048] The comparison parameter is used to compare whether the measurement result meets the entry condition or the exit condition. The comparison parameter can be represented by one or more of the following: a threshold value, a hysteresis value, an offset value, etc.

[0049] In standard protocols, larger values ​​corresponding to the dimension of a measurement result generally indicate higher signal strength or quality. Based on this, the following describes how to determine whether entry or exit conditions are met when comparison parameters are represented by thresholds, hysteresis values, and offset values.

[0050] For comparison parameters represented by thresholds, absolute comparison can be implemented. Absolute comparison refers to comparing a cell's measurement value with a threshold (i.e., the comparison parameter includes the threshold), (threshold + hysteresis), or (threshold - hysteresis) (i.e., the comparison parameter includes both the threshold and hysteresis). For example, a measurement result greater than (threshold + hysteresis) indicates that the entry condition is met; a measurement result less than (threshold - hysteresis) indicates that the exit condition is met.

[0051] For the case where the comparison parameter is represented by an offset value, a relative comparison can be achieved. Relative comparison can refer to comparing the measurement results of the neighboring cell with the measurement results of the serving cell. Before comparison, each cell can add its own relevant offset value (represented by Of). Among them, the cell-related offset value may include a cell-specific offset value and / or an offset value specific to the frequency where the cell is located. For the serving cell, an offset value related to the corresponding event (represented by Off_event) must also be added. Similar to absolute comparison, when comparing, the hysteresis value (represented by Hys) may need to be considered. Taking the A3 event as an example, assuming that the measurement result is represented by M, the serving cell is marked with s, and the neighboring cell is marked with n, the entry condition and the exit condition can be as follows. Entry condition: Mn+Ofn>Ms+Ofs+Hys+Off_event. Exit condition: Mn+Ofn <Ms+Ofs-Hys+Off_event。

[0052] The TTT timer can be used to ensure the robustness of measurement results. When a cell meets the entry conditions of a certain event, the TTT timer can be started. When the TTT timer times out, if the cell continues to meet the entry conditions of the event, it can indicate that the measurement event corresponding to the cell has been triggered.

[0053] As shown in Figure 2, the measurement results are represented by RSRP, and the gray rectangle represents the measurement result of the target cell. In Figure 2, the TTT timer duration is represented by TTT. The RSRP of the target cell meets the entry criteria at time T0. If the RSRP of the target cell meets the entry criteria within the duration of T0 + TTT, the corresponding measurement event for the target cell is triggered.

[0054] measurement model

[0055] In some communication protocols, such as 3GPP standard specification 38.331 (RRC standard protocol), the measurement results used for measurement event determination are filtered by the RRC layer (Layer 3). However, the initial measurement results within the terminal device are physical layer (Layer 1) measurements of a single beam. Therefore, the process from a single beam measurement result to the triggering of a measurement event can be reflected in the measurement model.

[0056] Figure 3 is an example diagram of a measurement mode. The relevant description of Figure 3 can be referred to 3GPP protocol TS38.331, which will not be repeated here. In the measurement model shown in Figure 3, A 1 Point A represents the layer 1 filtered measurement results of K beams, point B represents the cell quality, point C represents the layer 3 filtered cell quality, point D represents the cell quality reported according to the reporting standard, point E represents the layer 3 filtered measurement results of K beams, and point F represents the quality of the X beams selected for reporting. The aforementioned layer 3 beam-level measurement quality may refer to the quality of the X beams reported at point F in Figure 3, and the layer 3 cell-level measurement quality may refer to the cell quality reported at point D in Figure 3.

[0057] As shown in Figure 3, the beam-based measurement results at layer 1 are first consolidated, where the weighted average of the measurement results of eligible beams in the cell is taken to produce a cell-level measurement result at layer 1. This cell-level measurement result at layer 1 is then iterated through the layer 3 process to obtain the cell measurement result from the aforementioned process.

[0058] Based on the above measurement result generation process and measurement event judgment process, a measurement event starts when the entry condition is met, for example, after TTT time has passed, a measurement event judgment result (for example, including whether the measurement event is triggered) can be given.

[0059] Some standards (such as standard specification 38.133) specify the performance indicators of the measurement results of the terminal equipment, that is, the accuracy of the measurement results. In addition, these standards also specify the length of the measurement period (measurement period) for different measurement scenarios. For example, for intra-frequency measurements in frequency range 1 (FR1), the minimum measurement period is 200ms without discontinuous reception (DRX) and measurement gap. In a measurement period, the terminal device finally samples several measurement results, and how to perform layer 1 filtering on these measurement results is not clearly specified in the standard specification, but is left to the technical implementation. This is the reference point A and A in Figure 3. 1 It should be noted that reference point A 1 The period for generating L1 measurement values ​​is the same as the period for generating L3 filtered measurement values ​​at reference point C.

[0060] As can be seen from the measurement and reporting processes described above, the measurement reports received by network devices contain triggered measurement events. These triggered measurement events are determined based on the measurement results obtained by the terminal device. Making handover decisions based on these measurement reports can lead to numerous issues.

[0061] For example, the triggering event involved in the measurement report obtained by the network device may be a currently triggered event, or, if the delay in sending the measurement report is taken into account, the measurement report includes events that have been triggered in the past. When the network device makes a switching decision based on such a measurement report and starts the switching process, it often leads to "too late switching", that is, the terminal device fails to receive the switching command because the switching action is too slow. This is because during the movement of the terminal device, when the switching command is issued too late, the wireless link of the current service cell will continue to deteriorate. When the target cell of the switching is on another network device, or logically on another central unit (CU), this situation will further worsen the above-mentioned switching process due to the delay caused by the message interaction between the network device where the source cell is located and the network device where the target cell is located. It should be noted that the corresponding to the CU is the distributed unit (DU). A CU can manage multiple DUs, and DUs must exchange information through the CU.

[0062] To address the "too late handover" issue, network equipment can use relaxed parameters for triggering measurement events, allowing terminal devices to trigger measurement events earlier and submit measurement reports earlier. However, due to the complexity of the wireless environment and the uncertainty of terminal device mobility, it is generally difficult to determine the appropriate degree of parameter relaxation in engineering. Some parameter relaxation schemes can lead to "too early handover." This means that when the network equipment sends the handover command to the terminal device, the terminal device has not yet fully entered the target cell, preventing the terminal device from establishing an RRC connection with the target cell, resulting in handover failure.

[0063] FIG4 is a schematic flow chart of a wireless communication method provided by an embodiment of the present application. The method shown in FIG4 can be executed by a terminal device and a network device. The method shown in FIG4 can include step S410.

[0064] Step S410: The terminal device sends a first measurement report.

[0065] The first measurement report may include prediction information of the first measurement event. The prediction information may be obtained through prediction. For example, the first measurement event may be obtained through prediction. In another example, the first measurement report may be obtained through prediction.

[0066] In some embodiments, information related to the first measurement event can be predicted using the first model. That is, the output of the first model can include information related to the first measurement event. The information related to the first measurement event can be the predicted information of the first measurement event.

[0067] In some embodiments, the first measurement report may be predicted by the first model. That is, the output of the first model may include information related to the first measurement report. The information related to the first measurement report may include prediction information of the first measurement event.

[0068] In some embodiments, the first model may predict a measurement result. That is, the output of the first model may include the predicted measurement result. The first measurement event may be determined based on the predicted measurement result. That is, prediction information for the first measurement event may be determined based on the predicted measurement result.

[0069] It should be noted that the predicted measurement result may include one or more of the following predicted measurement results: cell measurement results and beam measurement results. For example, the cell measurement result may include a layer 3 cell measurement result. The beam measurement result may include a layer 1 beam measurement result and / or a layer 3 beam measurement result. The predicted cell measurement result may be obtained from the predicted beam measurement result. For example, the predicted layer 1 beam measurement result may be merged and filtered at layer 3 to become a predicted layer 3 cell measurement result.

[0070] Optionally, the first model may be an artificial intelligence (AI) model. For example, the first model may be a machine learning (ML) model. In another example, the first model may be a neural network model.

[0071] Through the present application, a communication device can predict a first measurement event and / or a first measurement event. For example, a terminal device can make a triggering decision for a measurement event in advance (e.g., before a configured TTT timer expires) and submit a measurement report in advance. Based on this, compared to related technologies, a network device can know the appropriate switching time and switching target earlier, so as to make adequate switching preparations, thereby improving switching performance and switching success rate.

[0072] In some embodiments, the prediction information can be determined based on actual measurement results. That is, the input of the first model can include the actual measurement results. Optionally, the input of the first model can also include historical prediction measurement results. Optionally, the input of the first model can also include other parameters. For example, other parameters can include the historical movement trajectory and / or predicted movement trajectory of the terminal device.

[0073] It should be noted that the measured measurement results may include one or more of the following measurement results actually measured by the terminal device: cell measurement results and beam measurement results. The cell measurement results may include, for example, layer 3 cell measurement results. The beam measurement results may include layer 1 beam measurement results and / or layer 3 beam measurement results.

[0074] The measured measurement result may include a measured measurement result in the time domain. The predicted measurement result may include a predicted measurement result in the time domain. The predicted measurement result in the time domain may be a measurement result at a first moment.

[0075] The predicted measurement result in the time domain may be the measurement result at the second moment. For example, the terminal device may predict the measurement result at the second moment based on the measurement result at the first moment actually measured by the terminal device. That is, the measurement result at the second moment may not be obtained through actual measurement. In this case, the prediction information may be related to the measurement result at the second moment.

[0076] In some embodiments, the predicted measurement results can be used to increase the frequency of the measurement results in the time domain. For example, between adjacent actual measurement results, a prediction can be performed to obtain a predicted measurement result. Based on this, the predicted measurement result can increase the frequency of the measurement results in the time domain.

[0077] Figure 5 illustrates this. As shown in Figure 5, the two curves represent the signal strength of the serving cell and the signal strength of the neighboring cell, respectively. The black dashed line represents the required RRM measurement results for the neighboring cell as specified by the standard protocol specifications, i.e., the actual measurement results. The gray dashed line represents the predicted measurement results for the neighboring cell based on these actual measurement results, i.e., the predicted measurement results. As Figure 5 shows, if both the actual and predicted measurement results are used to determine measurement events, this is logically equivalent to increasing the measurement sampling frequency on the timeline.

[0078] It should be noted that simulations have demonstrated that the predicted measurement results shown in FIG5 can achieve a high degree of accuracy. For example, the mathematical statistical difference (such as the root mean square error (RMSE)) between the predicted measurement results and the measured measurement results can be less than 1 dB.

[0079] It should be noted that, during the training process of the first model, actual measurements need to be performed at these predicted time points to obtain actual measurement values ​​for comparison.

[0080] It is understandable that increasing the sampling frequency can more truly reflect the measurement accuracy of the signal strength of neighboring cell signals in the wireless environment, thereby reducing measurement errors.

[0081] Based on this application, the TTT timer duration may vary, that is, the TTT timer duration actually used by the terminal device may be different from the TTT timer duration configured by the network device. The TTT timer duration configured by the network device may be indicated by the first measurement task described below.

[0082] It should be noted that the TTT timer duration configured by the network device can be understood as not being based on the predicted TTT timer duration, that is, the TTT timer duration specified in the relevant technology.

[0083] In some embodiments, the actual TTT timer duration can be determined based on both the predicted measurement result and the actual measurement result. Continuing with FIG. 5 as an example, the actual TTT timer duration is described. It should be noted that FIG. 5 uses the A3 event as the first measurement event for this purpose, and the present application can also be applied to other types of measurement events.

[0084] As shown in Figure 5, the entry conditions are met at time T0. Based on relevant technologies, within the TTT timer duration (indicated by TTT in Figure 5) configured by the network device, if the entry conditions are met, a measurement event can be triggered. That is, based on relevant technologies, an A3 event can be triggered at time (T0+TTT). Based on the present application, since the sampling frequency of the measurement results is higher, the duration of the TTT timer can be shortened to T*. As can be seen from Figure 5, the (T0+TTT) moment is later than the (T0+TTT*) moment, that is, the present application can trigger the A3 event in advance. In some embodiments, before the terminal device sends the first measurement report, the terminal device can receive a first measurement task sent by the network device. Among them, the first measurement task can be used to configure the prediction and / or reporting of the first measurement event.

[0085] Exemplarily, the first measurement task may include a timing advance, wherein the timing advance may indicate how long in advance the terminal device can predict the first measurement event.

[0086] The time advance can be used to indicate the time range or maximum value that the terminal device predicts the first measurement event can be shortened. If the terminal device does not perform a prediction, the trigger time of the first measurement event is the actual trigger time; if the terminal device performs the prediction proposed in this application, the trigger time of the first measurement event can be the predicted trigger time. The time that can be shortened may refer to the time difference between the predicted trigger time and the actual trigger time. It can be seen that the time advance can be used to indicate the range of the time difference between the predicted trigger time and the actual trigger time; or, the time advance can be used to indicate the maximum value of the time difference between the predicted trigger time and the actual trigger time. The range can be represented by one or more of the parameters such as the maximum value, the minimum value, and the duration.

[0087] In some embodiments, the timing advance can be expressed in one or more of the following units: milliseconds, microseconds, nanoseconds, etc. Alternatively, the timing advance can be expressed in other communication system time parameters. For example, the timing advance can be expressed in the number of SFNs.

[0088] When the TTT timer duration is configured, if the time advance value is greater than the configured TTT timer duration, it may indicate that the terminal device allows the triggering or occurrence of a measurement event to be predicted even if the actual measurement value at the current moment does not meet the entry condition. If the time advance value is less than or equal to the TTT timer duration, it may indicate that the entry condition has been met at the current moment.

[0089] The first measurement task may also include other information. For example, the first measurement task may include one or more of the following: TTT timer duration, layer 3 filter coefficient in the measurement model, and the like.

[0090] In some embodiments, the prediction information of the first measurement event may include one or more of the following: configuration information of the first measurement event, the first information, and the second information.

[0091] In some embodiments, the configuration information for the first measurement event may include identification information for the first measurement task. The configuration information for the first measurement event may be used to indicate which measurement task configured for the network device the prediction information is associated with. Optionally, the identification information for the first measurement task may include any of the following: A1 event, A2 event, A3 event, A4 event, A5 event, A6 event, B1 event, or B2 event. It should be emphasized that A1 to A11 are merely used to logically number events and have no other meaning. Among them, the A1 event may include: the serving cell signal measurement result is higher than an absolute threshold; the A2 event may include: the serving cell signal measurement result is lower than an absolute threshold; the A3 event may include: the neighboring cell signal measurement result is higher than the primary cell (PCell) / primary secondary cell (PSCell) signal measurement result by an offset; the A4 event may include: the neighboring cell signal measurement result is higher than an absolute threshold; the A5 event may include: the PCell / PSCell cell signal measurement result is lower than an absolute threshold 1 and the neighboring cell / secondary cell (SCell) signal measurement result is higher than an absolute threshold 2; the A6 event may include: the neighboring cell signal measurement result is higher than the SCell cell signal measurement result by an offset; the B1 event may include: the neighboring cell measurement result belonging to inter radio access technology (inter RAT) is higher than an absolute threshold; the B2 event may include: the PCell cell signal measurement result is lower than an absolute threshold 1 and the neighboring cell measurement result belonging to Inter RAT is higher than an absolute threshold 2.

[0092] The first information may be used to indicate whether the first measurement event is predicted by the first model. In the case where the first model is an AI model, the first information may be used to indicate whether the first measurement event is predicted by the AI ​​model.

[0093] The second information may be used to indicate measurement information of one or more neighboring cells that triggered the first measurement event. Optionally, the one or more neighboring cells may form a neighboring cell list. The neighboring cell list may be used to indicate measurement information of one or more neighboring cells that triggered the first measurement event.

[0094] The measurement information of the neighboring cell may be related to the predicted measurement result of the neighboring cell. For example, the measurement information of the neighboring cell may include one or more of the following: the measurement result of the neighboring cell, the cell identification information of the neighboring cell, and the time information when the neighboring cell triggers the first measurement event.

[0095] The measurement results of the neighboring cells may include, for example, part or all of the predicted measurement results. Part of the predicted measurement results may include the latest and / or the furthest (ie, the time closest to the current time and / or the time furthest from the current time).

[0096] The measurement result information of the neighboring cells may also include actual measurement results, which may include, for example, the measurement results obtained from the most recent actual measurement.

[0097] In some embodiments, the time information when the neighboring cell triggers the first measurement event may include: timer information of the TTT actually used by the neighboring cell.

[0098] The TTT timer information actually used by the neighboring cell may include: the actual TTT timer duration; or the difference between the actual TTT timer duration and the TTT timer duration configured in the first measurement task. If the terminal device reports the first measurement report when the actually used TTT timer times out, the network device determines the time when the entry condition is met based on the actually used TTT timer information.

[0099] In some embodiments, the neighboring cell measurement information may also include other information about the neighboring cell. For example, the other information about the neighboring cell may include frequency information about the neighboring cell. The frequency information about the neighboring cell may be used to indicate the frequency of the neighboring cell reported in the first measurement report. Based on the frequency information about the neighboring cell, it may be determined at which frequency the measurement event was predicted.

[0100] The cell identification information of the neighboring cell may be used to indicate the identification of the neighboring cell reported in the first measurement report. Based on the identification of the neighboring cell, it may be determined on which cell the measurement event is predicted.

[0101] In some embodiments, a terminal device may receive first configuration information sent by a network device. The first configuration information may be used to configure whether the terminal device is allowed to trigger a first measurement event before the duration specified by a configured TTT timer expires. In other words, the first configuration information may be used to configure whether the TTT timer duration actually used by the terminal device is allowed to be less than the configured TTT timer duration.

[0102] It should be noted that the time advance may implicitly indicate that the terminal device is allowed to trigger the first measurement event before the duration specified by the configured TTT timer expires. That is to say, if the network device is configured with a time advance, it can be considered that the network device allows the terminal device to trigger the first measurement event before the duration specified by the configured TTT timer expires. At this time, the network device may not need to additionally configure whether the terminal device is allowed to trigger the first measurement event before the duration specified by the configured TTT timer expires, that is, the first configuration information may not indicate whether the terminal device is allowed to trigger the first measurement event before the duration specified by the configured TTT timer expires. If the network device is not configured with a time advance, the terminal device may consider that the network device does not allow the terminal device to trigger the first measurement event before the duration specified by the configured TTT timer expires, or the terminal device may determine whether the terminal device is allowed to trigger the first measurement event before the duration specified by the configured TTT timer expires based on the indication of the first configuration information.

[0103] In some embodiments, the network device may configure predicted measurement object information. The predicted measurement object information may indicate at which frequency point or frequency points the terminal device may predict the first measurement event.

[0104] In some implementations, when the network device configures predicted measurement object information, the network device may also configure first measurement object information. The first measurement object information may be used to indicate the measurement object or objects based on which the predicted measurement object is predicted. For example, the first measurement object information indicates MO1, and the predicted measurement object information indicates MO2. In this case, the terminal device may predict whether a measurement event will be triggered in advance on MO2 when the configured TTT timer expires based on the frequency indicated by MO1.

[0105] The network device configuration information (e.g., the first configuration information) can be configured via an RRC message. The RRC message can be used to configure specific control parameters for the measurement task. For example, the RRC message can be used to configure both specific control parameters for the measurement task and the first configuration information. After the terminal device receives the RRC message containing the measurement configuration parameters, the terminal device can perform measurement of the serving cell and the neighboring cell, and report the first measurement report.

[0106] As described above, the prediction of the first measurement event can be determined based on the predicted measurement result. The predicted measurement result can be predicted based on the actual measurement result. In some embodiments, the predicted measurement result can be determined based on the predicted measurement results at other times and / or other frequencies.

[0107] In some embodiments, the predicted measurement result may include one or more measurement results; and / or the measured measurement result may include one or more measurement results.

[0108] For example, the measured measurement result may include one or more measurement results, and the predicted measurement result may include one measurement result. In other words, one or more measurement results may be predicted based on one or more actual measurement results.

[0109] For example, the actual measurement results may include multiple measurement results, and the predicted measurement results may include multiple measurement results. That is, multiple measurement results can be predicted based on multiple actual measurement results. For example, when the terminal device's trajectory is relatively regular, such as when a terminal device in a car is driving along a street, the terminal device can predict measurement results that were not actually measured based on historical measurement results. Predicting multiple measurement results can increase the frequency of measurement results, thereby accelerating the triggering and decision process for measurement events.

[0110] In some embodiments, the terminal device may locally record a variable for the prediction information of the first measurement event and update the variable at an appropriate time. For example, after the TTT timer actually in use expires, the terminal device may update the local variable for recording the prediction information of the first measurement event and send the first measurement report based on the content of the local variable.

[0111] In some embodiments, the actual TTT timer duration used may be determined by the terminal device itself. In some embodiments, the actual TTT timer duration used may be determined based on a duration configured by the network device. In some embodiments, the measurement results may include beam measurement results and / or cell measurement results. For example, the measurement results may include layer 1 beam measurement results. In another example, the measurement results may include layer 3 beam measurement results. In another example, the measurement results may include layer 3 cell measurement results.

[0112] When the measurement results include Layer 1 beam measurements, the measurement model can be as shown in Figure 6. In the measurement model shown in Figure 6, the input to the first model can include the L1 beam measurement results of the terminal device at one or more time points and one or more auxiliary parameters. The output of the first model can include a predicted L1 beam measurement result for a particular beam at a particular time point. This predicted L1 beam measurement result and the actual L1 beam measurement result measured by the terminal device can be used in the calculation process of subsequent modules.

[0113] In the case where the predicted measurement results include layer 1 beam measurement results, the actual layer 3 filter coefficient can be the layer 3 filter coefficient configured for the first measurement task multiplied by the shrinkage coefficient. The shrinkage coefficient can be greater than 0 and less than 1. For example, the layer 3 filter coefficient configured for the first measurement task can be represented by a, and the shrinkage coefficient can be represented by scaling. The shrinkage coefficient actually used is a'=a*scaling. The design of this technical solution mainly takes into account: assuming that the measurement result is predicted, there will always be a certain difference in accuracy compared with the actual measurement result. This application can reduce the impact of the latest measurement result on the cell-level L3 measurement result after the total L3 filtering by reducing the filter coefficient.

[0114] For example, when the measurement model shown in FIG6 is used, the layer 3 filter coefficient may be multiplied by the shrinkage coefficient.

[0115] Optionally, the shrinkage factor may satisfy one or more of the following: protocol provisions, predetermined, preset value, network device configuration, and self-determination by the terminal device.

[0116] When the measurement results include Layer 3 cell measurement results, the measurement model may be as shown in Figure 7. In the measurement model shown in Figure 7, the first model's parameters may include: L3 filtered cell measurement results at one or more time points, as well as one or more other auxiliary parameters. The output of the first model may include: L3 cell measurement results.

[0117] In some embodiments, the terminal device may receive second configuration information. The second configuration information may be used to configure one or more of the following: whether one or more measurement results included in the predicted measurement results include beam measurement results and / or cell measurement results; and whether one or more measurement results included in the measured measurement results include beam measurement results and / or cell measurement results.

[0118] It is understood that the measured measurement results can serve as the input of the first model, and the predicted measurement results can serve as the output of the first model. Therefore, the second configuration information can be used to configure the input and / or output of the first model. Alternatively, the second configuration information can be used to configure the algorithm structure of the first model. The algorithm structure of the first model may, for example, include one or more of the following: input parameters including layer 1 beam measurement results, input parameters including layer 3 cell measurement results, output parameters including layer 1 beam measurement results, and output parameters including layer 3 cell measurement results. For example, the algorithm structure of the first model may be the algorithm structure shown in Figure 6 or Figure 7.

[0119] It should be noted that the measurement model shown in FIG6 or FIG7 may be part of the measurement model, that is, the actual measurement model may also include other modules. Some modules in the measurement model shown in FIG6 or FIG7 may also be deleted or replaced by other modules.

[0120] It should be noted that the above embodiment mainly describes the technical solution such as the process and configuration of predicting the first measurement event, and the technical solution can also be applied to the process and configuration of predicting the first measurement report.

[0121] The method embodiments of the present application are described in detail above, and the device embodiments of the present application are described in detail below. It should be understood that the description of the method embodiments corresponds to the description of the device embodiments, so for parts not described in detail, reference can be made to the above method embodiments.

[0122] FIG8 is a schematic structural diagram of a terminal device 800 provided in an embodiment of the present application. The terminal device 800 includes a sending unit 810 .

[0123] The sending unit 810 is configured to send a first measurement report, wherein the first measurement report includes prediction information of a first measurement event.

[0124] In some embodiments, the terminal device 800 is further configured to: receive a first measurement task; wherein the first measurement task is used to configure prediction and / or reporting of a first measurement event.

[0125] In some embodiments, the first measurement task includes:

[0126] The time advance is used to indicate a time range or a maximum value by which the terminal device predicts that the first measurement event can be shortened.

[0127] In some embodiments, the prediction information of the first measurement event includes one or more of the following: configuration information of the first measurement event; first information used to indicate whether the first measurement event is predicted by the AI ​​model; and second information used to indicate measurement information of one or more neighboring cells that trigger the first measurement event.

[0128] In some embodiments, the configuration information of the first measurement event includes identification information of a first measurement task, and the first measurement task is used to configure prediction and / or reporting of the first measurement event.

[0129] In some embodiments, the measurement information of the neighboring cell includes one or more of the following: a measurement result of the neighboring cell; cell identification information of the neighboring cell; and time information of when the neighboring cell triggers the first measurement event.

[0130] In some embodiments, the time information of the neighboring cell triggering the first measurement event includes: TTT timer information actually used by the neighboring cell.

[0131] In some embodiments, the TTT timer information actually used by the neighboring cell includes: the TTT timer duration actually used; or, the difference between the TTT timer duration actually used and the TTT timer duration configured in the first measurement task, and the first measurement task is used to configure the prediction and / or reporting of the first measurement event.

[0132] In some embodiments, the first measurement event is determined based on one or more predicted measurement results and the measured measurement results.

[0133] In some embodiments, the predicted measurement results are used to increase the frequency of the measurement results in the time domain.

[0134] In some embodiments, the actual TTT timer duration is determined based on both the predicted measurement result and the actual measurement result.

[0135] In some embodiments, the sending unit 810 is specifically configured to update a local variable used to record prediction information of the first measurement event, and send the first measurement report according to the content of the variable.

[0136] In some embodiments, the measurement results include beam measurement results and / or cell measurement results.

[0137] In some embodiments, when the predicted measurement results include layer 1 beam measurement results, the actual layer 3 filter coefficient is the layer 3 filter coefficient configured for the first measurement task multiplied by the shrinkage coefficient, where the shrinkage coefficient is a parameter greater than 0 and less than 1, and the first measurement task is used to configure the prediction and / or reporting of the first measurement event.

[0138] In some embodiments, the predicted measurement result is obtained through a first model, and the first model is an artificial intelligence AI model.

[0139] In an optional embodiment, the sending unit 810 may be a transceiver 1030. The terminal device 800 may further include a processor 1010 and a memory 1020, as specifically shown in FIG10 .

[0140] FIG9 is a schematic structural diagram of a network device 900 provided in an embodiment of the present application. The network device 900 may include a receiving unit 910 .

[0141] The receiving unit 910 is configured to receive a first measurement report sent by a terminal device; wherein the first measurement report includes prediction information of a first measurement event.

[0142] In some embodiments, the network device 900 is further configured to: send a first measurement task to the terminal device; wherein the first measurement task is used to configure prediction and / or reporting of a first measurement event.

[0143] In some embodiments, the first measurement task includes: a time advance value, which is used to indicate a time range or a maximum value by which the terminal device predicts that the first measurement event can be shortened.

[0144] In some embodiments, the prediction information of the first measurement event includes one or more of the following: configuration information of the first measurement event; first information used to indicate whether the first measurement event is predicted by the AI ​​model; and second information used to indicate measurement information of one or more neighboring cells that trigger the first measurement event.

[0145] In some embodiments, the configuration information of the first measurement event includes identification information of a first measurement task, and the first measurement task is used to configure prediction and / or reporting of the first measurement event.

[0146] In some embodiments, the measurement information of the neighboring cell includes one or more of the following: a measurement result of the neighboring cell; cell identification information of the neighboring cell; and time information of when the neighboring cell triggers the first measurement event.

[0147] In some embodiments, the time information of the neighboring cell triggering the first measurement event includes: TTT timer information actually used by the neighboring cell.

[0148] In some embodiments, the TTT timer information actually used by the neighboring cell includes: the TTT timer duration actually used; or, the difference between the TTT timer duration actually used and the TTT timer duration configured in the first measurement task, and the first measurement task is used to configure the prediction and / or reporting of the first measurement event.

[0149] In some embodiments, the first measurement event is determined based on one or more predicted measurement results and the measured measurement results.

[0150] In some embodiments, the predicted measurement results are used to increase the frequency of the measurement results in the time domain.

[0151] In some embodiments, the actual TTT timer duration is determined based on both the predicted measurement result and the actual measurement result.

[0152] In some embodiments, the measurement results include beam measurement results and / or cell measurement results.

[0153] In some embodiments, when the predicted measurement results include layer 1 beam measurement results, the actual layer 3 filter coefficient is the layer 3 filter coefficient configured for the first measurement task multiplied by the shrinkage coefficient, where the shrinkage coefficient is a parameter greater than 0 and less than 1, and the first measurement task is used to configure the prediction and / or reporting of the first measurement event.

[0154] In some embodiments, the predicted measurement result is obtained through a first model, and the first model is an artificial intelligence AI model.

[0155] In an optional embodiment, the receiving unit 910 may be a transceiver 1030. The network device 900 may further include a processor 1010 and a memory 1020, as specifically shown in FIG10 .

[0156] Figure 10 is a schematic block diagram of a communication device according to an embodiment of the present application. The dashed lines in Figure 10 indicate that the unit or module is optional. The device 1000 may be used to implement the method described in the above method embodiment. The device 1000 may be a chip, a terminal device, or a network device.

[0157] The device 1000 may include one or more processors 1010. The processor 1010 may support the device 1000 to implement the method described in the method embodiment above. The processor 1010 may be a general-purpose processor or a special-purpose processor. For example, the processor may be a central processing unit (CPU). Alternatively, the processor may be another general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0158] The apparatus 1000 may further include one or more memories 1020. The memories 1020 store programs that can be executed by the processor 1010, causing the processor 1010 to perform the methods described in the above method embodiments. The memories 1020 may be independent of the processor 1010 or integrated into the processor 1010.

[0159] The apparatus 1000 may further include a transceiver 1030. The processor 1010 may communicate with other devices or chips via the transceiver 1030. For example, the processor 1010 may transmit and receive data with other devices or chips via the transceiver 1030.

[0160] The present application also provides a computer-readable storage medium for storing a program. The computer-readable storage medium can be applied to a terminal or network device provided in the present application, and the program enables a computer to execute the method performed by the terminal or network device in each embodiment of the present application.

[0161] The present application also provides a computer program product. The computer program product includes a program. The computer program product can be applied to a terminal or network device provided in the present application, and the program causes a computer to execute the method performed by the terminal or network device in each embodiment of the present application.

[0162] The embodiments of the present application also provide a computer program. The computer program can be applied to the terminal or network device provided in the embodiments of the present application, and the computer program enables a computer to execute the method performed by the terminal or network device in each embodiment of the present application.

[0163] It should be understood that the terms "system" and "network" in this application can be used interchangeably. In addition, the terms used in this application are only used to explain the specific embodiments of this application and are not intended to limit this application. The terms "first", "second", "third", and "fourth" in the specification and claims of this application and the accompanying drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0164] In the embodiments of this application, the term "indication" may refer to a direct indication, an indirect indication, or an indication of an association. For example, "A indicates B" may refer to a direct indication of B, e.g., B can obtain information through A; it may refer to an indirect indication of B, e.g., A indicates C, e.g., B can obtain information through C; or it may refer to an association between A and B.

[0165] In the embodiment of the present application, "B corresponding to A" means that B is associated with A and B can be determined based on A. However, it should be understood that determining B based on A does not mean determining B based solely on A, but B can also be determined based on A and / or other information.

[0166] In the embodiments of the present application, the term "corresponding" may indicate a direct or indirect correspondence between the two, or an association relationship between the two, or a relationship between indication and indication, configuration and configuration, etc.

[0167] In the embodiments of the present application, "pre-definition" or "pre-configuration" may be implemented by pre-storing corresponding codes, tables, or other methods that can be used to indicate relevant information in a device (e.g., a terminal device and a network device). The present application does not limit the specific implementation method. For example, pre-definition may refer to information defined in a protocol.

[0168] In the embodiments of the present application, the “protocol” may refer to a standard protocol in the communications field, for example, it may include an LTE protocol, an NR protocol, and related protocols used in future communication systems, and the present application does not limit this.

[0169] In the embodiments of this application, the term "and / or" is simply a description of the association relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this document generally indicates that the related objects are in an "or" relationship.

[0170] In the embodiments of this application, the term "include" can refer to direct inclusion or indirect inclusion. Alternatively, the term "include" in the embodiments of this application can be replaced with "indicates" or "is used to determine." For example, "A includes B" can be replaced with "A indicates B" or "A is used to determine B."

[0171] In various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0172] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0173] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0174] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0175] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be read by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital versatile disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0176] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A wireless communication method, characterized in that: include: The terminal device sends a first measurement report; The first measurement report includes prediction information of the first measurement event.

2. The method according to claim 1, characterized in that Before the terminal device sends the first measurement report, the method further includes: The terminal device receives a first measurement task; The first measurement task is used to configure prediction and / or reporting of the first measurement event.

3. The method according to claim 2, characterized in that The first measurement task includes: The time advance is used to indicate a time range or a maximum value by which the terminal device predicts that the first measurement event can be shortened.

4. The method according to any one of claims 1 to 3, characterized in that The prediction information of the first measurement event includes one or more of the following: configuration information of the first measurement event; First information, used to indicate whether the first measurement event is predicted by the AI ​​model; The second information is used to indicate measurement information of one or more neighboring cells that triggers the first measurement event.

5. The method according to claim 4, characterized in that The configuration information of the first measurement event includes identification information of a first measurement task, where the first measurement task is used to configure prediction and / or reporting of the first measurement event.

6. The method according to claim 4 or 5, characterized in that The measurement information of the neighboring cells includes one or more of the following: The measurement results of the neighboring cells; cell identification information of the neighboring cells; time information of the first measurement event triggered by the neighboring cell.

7. The method according to claim 6, characterized in that The time information of the neighboring cell triggering the first measurement event includes: The TTT timer information actually used by the neighboring cell.

8. The method according to claim 7, characterized in that The TTT timer information actually used by the neighboring cell includes: The actual TTT timer duration; or The difference between the actually used TTT timer duration and the TTT timer duration configured in the first measurement task, where the first measurement task is used to configure prediction and / or reporting of the first measurement event.

9. The method according to any one of claims 1 to 8, characterized in that The first measurement event is determined based on one or more predicted measurement results and a measured measurement result.

10. The method according to claim 9, characterized in that The predicted measurement results are used to increase the frequency of the measurement results in the time domain.

11. The method according to claim 9 or 10, characterized in that The actual TTT timer duration is determined based on the predicted measurement result and the actual measurement result.

12. The method according to claim 11, characterized in that After the actually used TTT timer times out, the terminal device sending a first measurement report includes: The terminal device updates a local variable used to record prediction information of the first measurement event, and sends the first measurement report according to the content of the variable.

13. The method according to any one of claims 9 to 12, characterized in that The measurement results include beam measurement results and / or cell measurement results.

14. The method according to claim 13, characterized in that In the case where the predicted measurement result includes a layer 1 beam measurement result, the actual layer 3 filter coefficient is the layer 3 filter coefficient configured for the first measurement task multiplied by a shrinkage coefficient, where the shrinkage coefficient is a parameter greater than 0 and less than 1, and the first measurement task is used to configure the prediction and / or reporting of the first measurement event.

15. The method according to any one of claims 9 to 14, characterized in that The predicted measurement result is obtained through a first model, which is an artificial intelligence (AI) model.

16. A wireless communication method, characterized in that: include: The network device receives a first measurement report sent by the terminal device; The first measurement report includes prediction information of the first measurement event.

17. The method according to claim 16, characterized in that Before the network device receives the first measurement report sent by the terminal device, the method further includes: The network device sends a first measurement task to the terminal device; The first measurement task is used to configure prediction and / or reporting of the first measurement event.

18. The method according to claim 17, characterized in that The first measurement task includes: The time advance is used to indicate a time range or a maximum value by which the terminal device predicts that the first measurement event can be shortened.

19. The method according to any one of claims 16 to 18, characterized in that The prediction information of the first measurement event includes one or more of the following: configuration information of the first measurement event; First information, used to indicate whether the first measurement event is predicted by the AI ​​model; The second information is used to indicate measurement information of one or more neighboring cells that triggers the first measurement event.

20. The method according to claim 19, characterized in that The configuration information of the first measurement event includes identification information of a first measurement task, where the first measurement task is used to configure prediction and / or reporting of the first measurement event.

21. The method according to claim 19 or 20, characterized in that The measurement information of the neighboring cells includes one or more of the following: The measurement results of the neighboring cells; cell identification information of the neighboring cells; time information of the first measurement event triggered by the neighboring cell.

22. The method according to claim 21, characterized in that The time information of the neighboring cell triggering the first measurement event includes: The TTT timer information actually used by the neighboring cell.

23. The method according to claim 22, characterized in that The TTT timer information actually used by the neighboring cell includes: The actual TTT timer duration; or The difference between the actually used TTT timer duration and the TTT timer duration configured in the first measurement task, where the first measurement task is used to configure prediction and / or reporting of the first measurement event.

24. The method according to any one of claims 16 to 23, characterized in that The first measurement event is determined based on one or more predicted measurement results and a measured measurement result.

25. The method according to claim 24, characterized in that The predicted measurement results are used to increase the frequency of the measurement results in the time domain.

26. The method according to claim 24 or 25, characterized in that The actual TTT timer duration is determined based on the predicted measurement result and the actual measurement result.

27. The method according to any one of claims 24 to 26, characterized in that The measurement results include beam measurement results and / or cell measurement results.

28. The method according to claim 27, characterized in that In the case where the predicted measurement result includes a layer 1 beam measurement result, the actual layer 3 filter coefficient is the layer 3 filter coefficient configured for the first measurement task multiplied by a shrinkage coefficient, where the shrinkage coefficient is a parameter greater than 0 and less than 1, and the first measurement task is used to configure the prediction and / or reporting of the first measurement event.

29. The method according to any one of claims 24 to 28, characterized in that The predicted measurement result is obtained through a first model, which is an artificial intelligence (AI) model.

30. A terminal device, characterized in that: include: A sending unit, configured to send a first measurement report; The first measurement report includes prediction information of the first measurement event.

31. The terminal device according to claim 30, characterized in that The terminal device is further configured to: receiving a first measurement task; The first measurement task is used to configure prediction and / or reporting of the first measurement event.

32. The terminal device according to claim 31, characterized in that The first measurement task includes: The time advance is used to indicate a time range or a maximum value by which the terminal device predicts that the first measurement event can be shortened.

33. The terminal device according to any one of claims 30 to 32, characterized in that: The prediction information of the first measurement event includes one or more of the following: configuration information of the first measurement event; First information, used to indicate whether the first measurement event is predicted by the AI ​​model; The second information is used to indicate measurement information of one or more neighboring cells that triggers the first measurement event.

34. The terminal device according to claim 33, characterized in that The configuration information of the first measurement event includes identification information of a first measurement task, where the first measurement task is used to configure prediction and / or reporting of the first measurement event.

35. The terminal device according to claim 33 or 34, characterized in that: The measurement information of the neighboring cells includes one or more of the following: The measurement results of the neighboring cells; cell identification information of the neighboring cells; time information of the first measurement event triggered by the neighboring cell.

36. The terminal device according to claim 35, characterized in that The time information of the neighboring cell triggering the first measurement event includes: The TTT timer information actually used by the neighboring cell.

37. The terminal device according to claim 36, characterized in that The TTT timer information actually used by the neighboring cell includes: The actual TTT timer duration; or The difference between the actually used TTT timer duration and the TTT timer duration configured in the first measurement task, where the first measurement task is used to configure prediction and / or reporting of the first measurement event.

38. The terminal device according to any one of claims 30 to 37, characterized in that: The first measurement event is determined based on one or more predicted measurement results and a measured measurement result.

39. The terminal device according to claim 38, characterized in that The predicted measurement results are used to increase the frequency of the measurement results in the time domain.

40. The terminal device according to claim 38 or 39, characterized in that: The actual TTT timer duration is determined based on the predicted measurement result and the actual measurement result.

41. The terminal device according to claim 40, characterized in that The sending unit is specifically configured to: A local variable used to record prediction information of the first measurement event is updated, and the first measurement report is sent according to content of the variable.

42. The terminal device according to any one of claims 38 to 41, characterized in that: The measurement results include beam measurement results and / or cell measurement results.

43. The terminal device according to claim 42, characterized in that In the case where the predicted measurement result includes a layer 1 beam measurement result, the actual layer 3 filter coefficient is the layer 3 filter coefficient configured for the first measurement task multiplied by a shrinkage coefficient, where the shrinkage coefficient is a parameter greater than 0 and less than 1, and the first measurement task is used to configure the prediction and / or reporting of the first measurement event.

44. The terminal device according to any one of claims 38 to 43, characterized in that: The predicted measurement result is obtained through a first model, which is an artificial intelligence (AI) model.

45. A network device, characterized in that: include: A receiving unit, configured to receive a first measurement report sent by a terminal device; The first measurement report includes prediction information of the first measurement event.

46. ​​The network device according to claim 45, characterized in that The network device is further configured to: Sending a first measurement task to the terminal device; The first measurement task is used to configure prediction and / or reporting of the first measurement event.

47. The network device according to claim 46, wherein: The first measurement task includes: The time advance is used to indicate a time range or a maximum value by which the terminal device predicts that the first measurement event can be shortened.

48. The network device according to any one of claims 45 to 47, characterized in that: The prediction information of the first measurement event includes one or more of the following: configuration information of the first measurement event; First information, used to indicate whether the first measurement event is predicted by the AI ​​model; The second information is used to indicate measurement information of one or more neighboring cells that triggers the first measurement event.

49. The network device according to claim 48, wherein: The configuration information of the first measurement event includes identification information of a first measurement task, where the first measurement task is used to configure prediction and / or reporting of the first measurement event.

50. The network device according to claim 48 or 49, characterized in that The measurement information of the neighboring cells includes one or more of the following: The measurement results of the neighboring cells; cell identification information of the neighboring cells; time information of the first measurement event triggered by the neighboring cell.

51. The network device according to claim 50, characterized in that The time information of the neighboring cell triggering the first measurement event includes: The TTT timer information actually used by the neighboring cell.

52. The network device according to claim 51, wherein: The TTT timer information actually used by the neighboring cell includes: The actual TTT timer duration; or The difference between the actually used TTT timer duration and the TTT timer duration configured in the first measurement task, where the first measurement task is used to configure prediction and / or reporting of the first measurement event.

53. The network device according to any one of claims 45 to 52, characterized in that: The first measurement event is determined based on one or more predicted measurement results and a measured measurement result.

54. The network device according to claim 53, wherein: The predicted measurement results are used to increase the frequency of the measurement results in the time domain.

55. The network device according to claim 53 or 54, characterized in that: The actual TTT timer duration is determined based on the predicted measurement result and the actual measurement result.

56. The network device according to any one of claims 53 to 55, characterized in that: The measurement results include beam measurement results and / or cell measurement results.

57. The network device according to claim 56, characterized in that In the case where the predicted measurement result includes a layer 1 beam measurement result, the actual layer 3 filter coefficient is the layer 3 filter coefficient configured for the first measurement task multiplied by a shrinkage coefficient, where the shrinkage coefficient is a parameter greater than 0 and less than 1, and the first measurement task is used to configure the prediction and / or reporting of the first measurement event.

58. The network device according to any one of claims 53 to 57, characterized in that: The predicted measurement result is obtained through a first model, which is an artificial intelligence (AI) model.

59. A terminal device, characterized in that: The terminal device comprises a memory and a processor, wherein the memory is used to store a program, and the processor is used to call the program in the memory so that the terminal device executes the method according to any one of claims 1 to 15.

60. A network device, characterized in that The network device comprises a memory and a processor, wherein the memory is used to store a program, and the processor is used to call the program in the memory so as to enable the network device to execute the method according to any one of claims 16 to 29.

61. A device, characterized in that The device comprises a processor configured to call a program from a memory so as to enable the device to execute the method according to any one of claims 1 to 29.

62. A chip, characterized in that: The device comprises a processor configured to call a program from a memory so that a device equipped with the chip executes the method according to any one of claims 1 to 29.

63. A computer-readable storage medium, characterized in that A program is stored thereon, the program causing a computer to execute the method according to any one of claims 1 to 29.

64. A computer program product, characterized in that The method comprises a program for causing a computer to execute the method according to any one of claims 1 to 29.

65. A computer program, characterized in that The computer program causes a computer to execute the method according to any one of claims 1 to 29.

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