Wireless communication method, terminal device and network device
By setting reasonable trigger and termination conditions on terminal devices and using AI/ML models to predict measurement events, the problem of energy consumption and resource waste caused by frequent predictions on terminal devices is solved, and the accuracy and efficiency of prediction are improved.
Patent Information
- Application Number
- PCT/CN2024/111125
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-08-09
- Publication Date
- 2026-02-12
AI Technical Summary
In existing technologies, terminal devices frequently consume energy and computing resources when predicting measurement events, resulting in wasted energy and computing resources, and poor prediction accuracy.
By setting reasonable trigger and termination conditions, the terminal device can predict measurement events under specific conditions. It uses AI/ML models to predict measurement events, reducing unnecessary predictions and saving energy and computing resources.
It effectively reduces energy consumption and computing resource waste of terminal devices, improves the accuracy and efficiency of measurement event prediction, and reduces the burden on terminal devices.
Smart Images

Figure CN2024111125_12022026_PF_FP_ABST
Abstract
Description
Method, terminal device and network device for wireless communication TECHNICAL FIELD
[0001] The present application relates to the technical field of communication, and more particularly, to a method, a terminal device and a network device for wireless communication. BACKGROUND
[0002] After performing radio resource management (RRM), a terminal device can report the relevant content of measurement results to a network device in the form of a measurement report, so that the network device can make relevant decisions, such as cell handover decisions, beam switching decisions, etc., according to the content of the measurement report. Measurement events are the key to triggering measurement reports and subsequent operations. Therefore, how to predict the occurrence of measurement events becomes a problem to be solved.
[0003] SUMMARY
[0004] The present application provides a method, a terminal device and a network device for wireless communication. The various aspects of the present application are described below.
[0005] In a first aspect, a method for wireless communication is provided, comprising: predicting, by a terminal device, a measurement event when a first condition is met.
[0006] In a second aspect, a method for wireless communication is provided, comprising: sending, by a network device, third information to a terminal device, the third information being used to configure a first condition, the first condition being used to trigger the terminal device to predict a measurement event.
[0007] In a third aspect, a terminal device is provided, comprising: a processing unit configured to predict a measurement event when a first condition is met.
[0008] In a fourth aspect, a network device is provided, comprising: a transceiver configured to send third information to a terminal device, the third information being used to configure a first condition, the first condition being used to trigger the terminal device to predict a measurement event.
[0009] In a fifth aspect, a terminal device is provided, comprising a transceiver, a memory and a processor, the memory being used to store a program, the processor being used to invoke the program in the memory and control the transceiver to receive or send signals, so that the terminal device performs the method of the first aspect.
[0010] In a sixth aspect, a network device is provided, comprising a transceiver, a memory, and a processor, the memory is configured to store a program, the processor is configured to invoke the program in the memory and control the transceiver to receive or send a signal, so that the network device performs the method in the second aspect.
[0011] In a seventh aspect, an apparatus is provided, comprising a processor configured to invoke a program from a memory, so that the apparatus performs the method in any one of the first aspect or the second aspect.
[0012] In an eighth aspect, a chip is provided, comprising a processor configured to invoke a program from a memory, so that a device installed with the chip performs the method in the first aspect or the second aspect.
[0013] In a ninth aspect, a computer readable storage medium is provided, having a program stored thereon, the program causing a computer to perform the method in the first aspect or the second aspect.
[0014] In a tenth aspect, a computer program product is provided, comprising a program, the program causing a computer to perform the method in the first aspect or the second aspect.
[0015] In an eleventh aspect, a computer program is provided, the computer program causing a computer to perform the method in the first aspect or the second aspect.
[0016] In the embodiments of the present application, the terminal device performs prediction of the measurement event when the first condition is met, which not only timely develops the prediction of the measurement event, but also avoids the waste of energy consumption and computing resources caused by frequent prediction of the measurement event by the terminal device, thereby reducing the burden of the terminal device. BRIEF DESCRIPTION OF DRAWINGS
[0017] FIG. 1 is an example of a system architecture of a wireless communication system to which embodiments of the present application are applicable.
[0018] FIG. 2 is a schematic diagram of a functional framework of an AI / ML model to which embodiments of the present application are applicable.
[0019] FIG. 3 is a flowchart of a wireless communication method according to an embodiment of the present application.
[0020] FIG. 4 is a flowchart of a wireless communication method according to another embodiment of the present application.
[0021] FIG. 5 is a schematic diagram of a structure of a terminal device according to an embodiment of the present application.
[0022] FIG. 6 is a schematic diagram of a structure of a network device according to an embodiment of the present application.
[0023] FIG. 7 is a schematic diagram of an apparatus for communication according to an embodiment of the present application. DETAILED DESCRIPTION
[0024] The technical solutions in the present application will be described below with reference to the accompanying drawings.
[0025] Wireless communication system
[0026] FIG. 1 is an example diagram of a system architecture of a wireless communication system 100 to which embodiments of the present application can be applied. The wireless communication system 100 can include a network device 110 and a terminal device 120. The network device 110 can be a device that communicates with the terminal device 120. The network device 110 can provide network coverage for a specific geographic area and can communicate with the terminal device 120 located within the coverage area. The terminal device 120 can access a network, for example, a wireless network, through the network device 110. Optionally, the wireless communication system 100 can further include a network controller, a mobile management entity, and other network entities, which are not limited by embodiments of the present application.
[0027] It should be understood that the technical solutions of the embodiments of the present application can be applied to various communication systems, for example, a fifth generation (5G) system or new radio (NR), a long term evolution (LTE) system, an LTE frequency division duplex (FDD) system, an LTE time division duplex (TDD), and the like. The technical solutions provided by the present application can also be applied to future communication systems, for example, a sixth generation mobile communication system, for example, a satellite communication system, and the like.
[0028] The terminal device in the embodiments of the present application can also be referred to as a user equipment (UE), an access terminal, a user unit, a user station, a mobile station, a mobile terminal (MT), a remote station, a remote terminal, a mobile device, a user terminal, a terminal, a wireless communication device, a user agent or a user apparatus. The terminal device in the embodiments of the present application can refer to a device providing voice and / or data connectivity for a user, and can be used to connect people, things and machines, such as handheld devices with wireless connection function, vehicle-mounted devices, etc. The terminal device in the embodiments of the present application can be a mobile phone, a tablet computer (Pad), a notebook computer, a palm computer, 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 smart grid, a wireless terminal in transportation safety, a wireless terminal in smart city, a wireless terminal in smart home, etc. Optionally, the terminal device can be used to act as a base station. For example, the terminal device can act as a scheduling entity, which provides sidelink signals between terminal devices in vehicle to everything (V2X) or device to device (D2D), etc. For example, a cellular phone and a car communicate with each other using sidelink signals. The cellular phone and the smart home device communicate with each other without relaying the communication signals through the base station.
[0029] The network device in the embodiments of the present application can be a device for communicating with a terminal device. The network device may, for example, be an access network device or a radio access network device. For example, the network device can be a base station. The base station can broadly cover various names in the following or replace the following names: Node B (Node B), evolved Node B (eNB), next generation Node B (gNB), relay station, access point, transmitting and receiving point (TRP), transmitting point (TP), 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.
[0030] Functional framework of AI / ML model
[0031] The 3rd generation partnership project (3GPP) studied in Release 18 (Rel18) whether artificial intelligence (AI) / machine learning (ML) model is helpful to improve the performance of the physical layer, and the relevant research results are recorded in Technical Report TR38.843. In addition to recording the evaluation methods and results related to AI / ML model, this technical report also records the steps and content of how to manage AI / ML model, which forms the content of life cycle management (LCM) in this technical report. It should be noted that LCM is a relatively broad term, and its content includes data collection, model training, model identification, model transmission, model inference, model selection, model activation, model deactivation, model replacement and fallback, model monitoring, model updating, terminal device capability reporting, etc.
[0032] For ease of understanding, the LCM of the AI / ML model is introduced below in conjunction with FIG. 2.
[0033] As an example, FIG. 2 illustrates a functional framework of an AI / ML model. After the model training is completed and the model is deployed in a communication device, the model can be utilized for model inference, which refers to a process of obtaining a corresponding output result after a specific input is given, for example. The AI / ML model used for model inference can be subjected to model monitoring at irregular intervals, and the model can be managed based on the result of the model monitoring. The content of the model management includes, for example, deactivating the model or switching to a model with better performance in the case of poor or unsuitable model performance.
[0034] Referring to FIG. 2, an AI / ML model can generally include functional modules such as data collection, model training, model storage, model inference, and model management. Hereinafter, these functional modules are briefly described.
[0035] Among them, the data collection module is used to collect data, such as training data, monitoring data, and inference data. The model training module can train the model using the training data. The model storage module is used to store the trained model so as to be used later according to actual needs. The model inference module is used to perform model inference, for example, to obtain the output result of the model after providing the model with specific inference data, which is usually a prediction result, also known as inference result or inference result. The model management module is used to monitor and / or manage the model. For example, the model management module can monitor the model using monitoring data (or model label), and feed back information to the model training module in the case of poor model performance, so as to retrain the model. For another example, the model management module can send indication information to the model storage module to complete the deployment of a specific model. For another example, the model management module can send indication information to the model inference module in the case of poor model performance or unsuitable model, to instruct to deactivate the model.
[0036] After the AI / ML model is trained using the training data, the trained model is stored so as to be deployed later according to actual needs. After the model is deployed, the communication device with the deployed model can use the model for inference, for example, to provide the model with the measurement value of RRM measurement and output the prediction value for the measurement result by the model, and the model can be monitored in this process, so as to manage the model according to the monitoring result.
[0037] RRM measurement
[0038] In a cellular communication system of 3GPP, a terminal device generally needs to determine the strength or quality of a wireless signal of a current serving cell and a neighboring cell by measurement. For example, the terminal device can measure the signal strength of a cell, i.e., the reference signal receiving power (RSRP). For another example, the terminal device can measure the signal quality of a cell, i.e., the reference signal receiving quality (RSRQ). For yet another example, the terminal device can measure the signal to interference noise ratio (SINR) of a cell. Such measurement can be referred to as RRM measurement. After the terminal device performs the RRM measurement, the terminal device can report the related content of the RRM measurement to a network device in a measurement report, so that the network device can make a relevant decision according to the content of the measurement report, such as performing a cell handover decision, a beam handover decision, etc.
[0039] The measurement report can be carried in a radio resource control (RRC) message, for example. The measurement report can include a specific measurement event and / or a measurement result. In the measurement report, the cell reported by the terminal device can include the current serving cell and / or the neighboring cell. For example, the terminal device can report the signal measurement value of the current serving cell. Or, the terminal device can report the signal measurement value of the current serving cell and the neighboring cell. The measurement object included in the measurement report can be various, such as an intra-frequency, inter-frequency or inter-system frequency, etc.
[0040] Measurement configuration
[0041] The network device can issue measurement configuration (MeasConfig) information for the terminal device, where the MeasConfig information includes, for example, measurement targets, report configuration (ReportConfig), measurement identification, s-Measure configuration, gap configuration, and the like. The report configuration includes, for example, report types (periodic triggering or event triggering), condition triggering configuration, cell global identifier (ID), and the like. Detailed contents related to MeasConfig and ReportConfig can be found in 3GPP protocol TS38.331, which will not be described here. The above configuration can be sent from the network device to the terminal device through RRC signaling from the air interface, and the terminal device can perform cell signal measurement based on the configuration, for example, including measurement of RSRP, RSRQ, and SINR, and timely report the measurement values obtained by measurement to the network device according to the report configuration, so that the network device makes relevant decisions, such as performing cell switching decisions, beam switching decisions, and the like.
[0042] Prediction of measurement events
[0043] Prediction of measurement events is one of several use cases of the current artificial intelligence (AI) mobility (AI mobility) project. The method of measurement prediction generally includes direct prediction and indirect prediction. Among them, direct prediction is to directly predict whether a measurement event such as A3 event will occur in the future based on historical measurement data; indirect prediction is to first predict the measurement value of the measurement result in the future based on historical measurement data, and then judge whether a measurement event will occur based on the predicted measurement value using the traditional switching mechanism. As an example, based on the RSRP value in the past 2s, the RSRP value in the future 3s is predicted, and the predicted RSRP value is used to judge whether A3 event will occur in the future 3s using the traditional measurement event judgment method.
[0044] Prediction of measurement events generally requires signal measurement values such as RSRP or RSRQ of the current serving cell and at least one neighbor cell. In theory, measurement event prediction can also be based solely on the signal measurement value of the serving cell, but the prediction accuracy will be relatively poor. Therefore, the prediction of measurement events in the embodiments of the present application can use the signal measurement value of the neighbor cell, and can use it as one of the conditions for triggering measurement event prediction.
[0045] In the prediction scenario of measurement events, the AI / ML model can be deployed at the terminal device side, or at the network device side, or at both the terminal device side and the network device side. When the AI / ML model is deployed at the terminal device, for direct prediction, the terminal device directly predicts whether a measurement event will occur in a future period of time based on historical measurement results and reports it to the network device. For indirect measurement, the terminal device needs to predict the measurement results in a future period of time based on historical measurement results, and determine whether a measurement event will occur based on the predicted values. For example, the terminal device can report the predicted values to the network device through the air interface, and the network device determines whether a measurement event will occur in a future period of time based on the predicted values reported by the terminal device; or the terminal device infers whether a measurement event will occur based on the predicted values and in combination with the relevant configuration parameters configured by the network device for a certain measurement event.
[0046] Whether it is direct measurement or indirect measurement, the AI / ML model needs to take the historical measurement results in a measurement period, for example, the actual measurement values in the above-mentioned 2s, as the input of the AI / ML model. If the measurement period is short, the amount of data input into the AI / ML model may not be enough for the AI / ML model to make accurate predictions of measurement events. The shortest measurement period required for the application of the AI / ML model can be referred to as the minimum input duration corresponding to the AI / ML model.
[0047] S measurement
[0048] In the NR system, in order to save the energy consumption of the terminal device, the terminal device usually only measures the signal quality of the current serving cell and does not measure the signal quality of the neighbor cell. In the case of a specific event, for example, A2 event, that is, the signal quality of the serving cell is lower than a predetermined threshold, the network device will only issue measurement configuration information for neighbor cell measurement to the terminal device. The terminal device measures the signal quality of the neighbor cell based on the measurement configuration information.
[0049] If the measurement configuration information does not include the configuration of S measurement or S measurement is deactivated, the terminal device starts measuring the neighbor cell after receiving the measurement configuration information; if the measurement configuration information includes the configuration of S measurement, the terminal device will only start measuring the neighbor cell if the corresponding measurement condition of S measurement is met. The corresponding measurement condition of S measurement, for example, means that the signal measurement value of the current serving cell is less than a predetermined threshold. In the case where the signal measurement value of the current serving cell is less than the predetermined threshold, the terminal device will start measuring the non-serving cell. From the occurrence of A2 event to the satisfaction of the corresponding measurement condition of S measurement, a period of time needs to be experienced, so the main purpose of introducing S measurement is to reduce the energy consumption of the terminal device for RRM measurement during this period of time.
[0050] The inference (or prediction) process of the terminal device maintaining the AI / ML model is very energy-consuming, and the measurement event usually does not occur frequently, for example, once every 5s on average. If the prediction of the measurement event is performed according to the period of the RRM measurement, for example, 20ms, a large amount of energy of the terminal device will be wasted, and the valuable computing resources of the terminal device will be occupied, affecting the development of other services.
[0051] In the current discussion of the 3GPP AI mobility project, if it is considered that the inference of the measurement event can be continuously performed, a large amount of meaningless data about the measurement event (for example, the signal of the serving cell of the terminal device is good at this time) will be collected in the training process of the AI / ML model, thereby causing the deviation between the simulation results and the actual commercial results.
[0052] Therefore, in the embodiments of the present application, the terminal device performs the prediction of the measurement event under certain conditions, which avoids the energy consumption and the waste of computing resources caused by the frequent prediction of the measurement event by the terminal device, and reduces the burden of the terminal device.
[0053] The embodiments of the present application will be described in detail below with reference to FIG. 3.
[0054] FIG. 3 is a flowchart of a wireless communication method provided by the embodiments of the present application. As shown in FIG. 3, the method includes step 310.
[0055] In step 310, the terminal device performs the prediction of the measurement event under the condition that a first condition is met.
[0056] That is, the first condition is used to trigger the terminal device to perform the prediction of the measurement event.
[0057] In this way, the terminal device does not frequently perform the prediction of the measurement event, so that the prediction of the measurement event can be performed at the necessary time, and the waste of energy consumption and computing resources caused by the frequent prediction of the measurement event by the terminal device is avoided while the prediction of the measurement event is timely performed.
[0058] In an implementation manner, the first condition is associated with one or more of the following: S measurement; a signal measurement value of a serving cell of the terminal device; a signal measurement value of a neighbor cell of the terminal device; a moving speed of the terminal device; and a region in which the terminal device is located.
[0059] In an implementation, the first condition comprises one or more of the following: the measurement condition corresponding to the S-measure is satisfied; a signal measurement value of a serving cell of the terminal device is less than or equal to a first threshold; a signal measurement value of a neighbor cell of the terminal device is greater than or equal to a second threshold; the signal measurement value of the serving cell of the terminal device is less than or equal to a third threshold, and the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a fourth threshold; a moving speed of the terminal device is greater than or equal to a fifth threshold; the terminal device is located in a predetermined area.
[0060] The first condition comprises that the signal measurement value of the serving cell of the terminal device is less than or equal to a first threshold, which is more suitable for the scenario of intra-frequency and homogeneous network. The smaller signal measurement value of the serving cell indicates that the terminal device has moved to the boundary of the cell.
[0061] The first condition comprises that the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a second threshold, which is more suitable for the scenario of intra-frequency and heterogeneous network and the scenario of inter-frequency and heterogeneous network. The larger signal measurement value of the neighbor cell indicates that the terminal device has moved to the range of the cell.
[0062] The first condition comprises that the signal measurement value of the serving cell of the terminal device is less than or equal to a third threshold, and the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a fourth threshold, which is more suitable for the scenario of intra-frequency and homogeneous network and the scenario of inter-frequency and co-site.
[0063] The above conditions can be used alone by the terminal device to determine whether to predict the measurement event. For example, the measurement event is predicted when the signal measurement value of the serving cell of the terminal device is less than or equal to the first threshold; for another example, the measurement event is predicted when the signal measurement value of the neighbor cell of the terminal device is greater than or equal to the second threshold; for another example, the measurement event is predicted when the signal measurement value of the serving cell of the terminal device is less than or equal to the third threshold, and the signal measurement value of the neighbor cell of the terminal device is greater than or equal to the fourth threshold.
[0064] Alternatively, the above conditions can be combined to determine whether the terminal device predicts the measurement event. Optionally, the moving speed of the terminal device is greater than or equal to the fifth threshold, and / or the terminal device is located in the predetermined area, which can be used as an auxiliary condition of other conditions to determine when the terminal device starts to predict the measurement event.
[0065] For example, the terminal device triggers the prediction of the measurement event only when the terminal device meets the measurement condition corresponding to the S measurement and the terminal device meets the condition that the moving speed of the terminal device is greater than or equal to the fifth threshold; for another example, the terminal device triggers the prediction of the measurement event only when the terminal device meets the measurement condition corresponding to the S measurement and the terminal device is located in the predetermined area; for another example, the terminal device triggers the prediction of the measurement event only when the signal measurement value of the serving cell of the terminal device is less than or equal to the first threshold and the moving speed of the terminal device is greater than or equal to the fifth threshold; for another example, the terminal device triggers the prediction of the measurement event only when the signal measurement value of the serving cell of the terminal device is less than or equal to the first threshold and the terminal device is located in the predetermined area.
[0066] For another example, the terminal device triggers the prediction of the measurement event only when the signal measurement value of the neighbor cell of the terminal device is greater than or equal to the second threshold and the moving speed of the terminal device is greater than or equal to the fifth threshold; for another example, the terminal device triggers the prediction of the measurement event only when the signal measurement value of the neighbor cell of the terminal device is greater than or equal to the second threshold and the terminal device is located in the predetermined area; for another example, the terminal device triggers the prediction of the measurement event only when the signal measurement value of the serving cell of the terminal device is less than or equal to the third threshold, the signal measurement value of the neighbor cell of the terminal device is greater than or equal to the fourth threshold, and the moving speed of the terminal device is greater than or equal to the fifth threshold; for another example, the terminal device triggers the prediction of the measurement event only when the signal measurement value of the neighbor cell of the terminal device is greater than or equal to the second threshold, the signal measurement value of the serving cell of the terminal device is less than or equal to the third threshold, the signal measurement value of the neighbor cell of the terminal device is greater than or equal to the fourth threshold, and the terminal device is located in the predetermined area. In these examples, the number of predictions of the measurement event is further reduced, and therefore, the two conditions that the moving speed of the terminal device is greater than or equal to the fifth threshold and the terminal device is located in the predetermined area can be referred to as relaxed conditions of other conditions.
[0067] When the moving speed of the terminal device is relatively large, for example, greater than 60 km / h, the channel state of the terminal device changes relatively fast, and therefore, the prediction of the measurement event triggered under the condition that the moving speed of the terminal device is greater than or equal to the fifth threshold can obtain better access performance of the terminal device at a low speed in advance. In addition, in other implementation manners, the first condition can also include other conditions related to the moving speed of the terminal device, for example, the number of speed switching of the terminal device in a unit time is greater than a corresponding threshold.
[0068] The predetermined area is, for example, a multi-cell hotspot coverage area, a multi-cell coverage area, or the like, and the wireless environment in the area is more complex, and therefore, the prediction of the measurement event when the terminal device enters the predetermined area can obtain the target cell and the corresponding access time in advance, thereby better improving the throughput.
[0069] In some implementations, the prediction of the measurement event is initiated after the first condition is met and a first time duration elapses. That is, the terminal device does not immediately perform the prediction of the measurement event when the first condition is met, but waits until the first time duration elapses before performing the prediction of the measurement event. The first time duration can be used for the terminal device to perform RRM measurements, such as measuring RSRP and / or RSRQ of the serving cell and the neighbor cells.
[0070] In some implementations, the first time duration is determined based on a timer configured by the network device.
[0071] The timer can be configured by the network device. The timer can be configured by the network device via RRC signaling. The timer can be configured by the network device via RRC signaling, such as RRCReconfiguration or RRCResume, or a newly defined RRC signaling. The configuration information of the timer can be carried in the measurement configuration information of the RRM measurement, or transmitted independently from the measurement configuration information.
[0072] The timer can be configured by the network device. The timer can be configured by the network device via RRC signaling. The timer can be configured by the network device via RRC signaling, such as RRCReconfiguration or RRCResume, or a newly defined RRC signaling. The configuration information of the timer can be carried in the measurement configuration information of the RRM measurement, or transmitted independently from the measurement configuration information.
[0073] In some implementations, the prediction of the measurement event is based on a prediction model, and input data of the prediction model is signal measurement values within a second time duration, and the first time duration is greater than or equal to a minimum value of the second time duration. The prediction model can be an AI / ML model. The minimum value of the second time duration can be a minimum input time duration of the AI / ML model.
[0074] Here, the first time duration is set to be greater than or equal to the minimum value of the second time duration, because the terminal device starts to perform measurements of the neighbor cells only when the first condition is met, and since the prediction of the measurement event requires signal measurement values, such as RSRP and / or RSRQ, of the serving cell and the neighbor cells within a period of time, the terminal device can trigger the prediction of the measurement event only after the first condition is met and the first time duration elapses, which is sufficient for obtaining the signal measurement results for the prediction of the measurement event. That is, the start time of the prediction of the measurement event is determined based on the time when the first condition is met and the first time duration.
[0075] Of course, the timer is optional. This is because, if there is no configuration of S-measurement in the measurement configuration information for neighbor cell measurement, the terminal device has already started to perform measurement on the neighbor cell when obtaining the measurement configuration information for neighbor cell measurement, and the measurement data obtained by the terminal device when the first condition is met can already be sufficient for the prediction model to perform prediction of the measurement event, without the need to configure the timer and wait for the timer to expire, or the timer can be considered to be configured to 0.
[0076] If the prediction model is trained by the terminal device, the network device can not know the minimum value of the minimum input duration of the prediction model deployed in the terminal device, i.e., the minimum value of the second duration. Therefore, in some implementations, the terminal device can send first information to the network device; correspondingly, the network device receives the first information sent by the terminal device. The first information is used to determine the minimum value of the second duration.
[0077] The first information may, for example, be used to indicate one or more of the following: the minimum value of the second duration; meta information of the prediction model, the meta information including the minimum value of the second duration; an identifier of the prediction model.
[0078] The identifier of the prediction model can also be referred to as a model identifier. In the case where the network device has meta information of multiple models, the network device can determine the meta information of the prediction model from the meta information of the multiple models based on the identifier of the prediction model, and obtain the minimum value of the second duration therefrom.
[0079] Since the minimum input duration and the like of the prediction model can be regarded as the capability of the prediction model, the first information can also be referred to as capability information of the prediction model.
[0080] In some implementations, the first information can be sent in the case where a second condition is met, the second condition including one or more of the following: receiving second information sent by the network device, wherein the second information is used to request the terminal device to send the first information; reaching a periodic sending time of the first information; a change in the moving state of the terminal device. The change in the moving state of the terminal device may, for example, refer to a change in the moving speed of the terminal device, or a cell handover of the terminal device, and the like.
[0081] That is, the terminal device can report the first information to the network device based on a request of the network device, when receiving the second information sent by the network device. Alternatively, the terminal device can periodically send the first information, and the sending period of the first information can be pre-agreed or configured by the network device. Alternatively, the terminal device can report the first information to the network device when its moving state changes, for example, when the terminal device performs cell switching, or when the moving speed of the terminal device changes from low speed to high speed.
[0082] In other implementation manners, the network device can also not configure the terminal device with the above-mentioned timer, but trigger the prediction of the measurement event autonomously by the terminal device after the first condition is met. For example, the terminal device starts to predict the measurement event after a first time length elapses from the time when the first condition is met.
[0083] It can be understood that, for direct prediction, the prediction of the measurement event by the terminal device in step 310, for example, refers to a process that the terminal device directly predicts whether the measurement event will occur in the future based on the measurement value of the RRM measurement, that is, the prediction model is used to predict the occurrence of the measurement event; and for indirect prediction, the prediction of the measurement event by the terminal device in step 310, for example, refers to a process that the terminal device predicts the measurement result in the future based on the measurement value of the RRM measurement and obtains a corresponding predicted value, that is, the prediction model is used to predict the measurement result of the RRM measurement and obtain a corresponding predicted value, and then whether the measurement event will occur in the future can be judged based on the predicted value by using a traditional measurement event judgment method.
[0084] In some implementation manners, the network device can send third information to the terminal device; correspondingly, the terminal device receives the third information sent by the network device. The third information is used to configure the first condition. The third information can also be regarded as configuration information of the first condition.
[0085] The third information is carried in the RRC signaling sent by the network device, for example. The RRC signaling can be an RRC reconfiguration message or an RRC recovery message in related technologies, or can also be a newly defined RRC signaling. The third information can be carried in the measurement configuration information of the RRM measurement, or be transmitted independently of the measurement configuration information.
[0086] The third information may, for example, include one or more of the following: the first condition; a threshold associated with the first condition; a reference signal associated with the first condition; configuration information of the timer.
[0087] The timer is the aforementioned timer used to determine the predicted start time of the measurement event. The threshold associated with the first condition can be, for example, the aforementioned first threshold, second threshold, third threshold, fourth threshold, fifth threshold, and the like. The reference signal associated with the first condition includes, for example, a synchronization signal block / physical broadcast channel block (SS / PBCH block, SSB) and / or a channel state information reference signal (CSI-RS). Different first conditions and / or different threshold values can be configured for different types of reference signals.
[0088] The terminal device determines when to start performing the prediction of the measurement event is described above in connection with FIG. 3. In the following, the terminal device determines when to end the prediction of the measurement event is described in connection with FIG. 4. The method shown in FIG. 3 and the method shown in FIG. 4 can be performed as separate embodiments or can be combined with each other, which is not limited in the present application.
[0089] FIG. 4 is a flow diagram of a wireless communication method according to an embodiment of the present application. As shown in FIG. 4, the method includes step 320.
[0090] In step 320, the terminal device ends the prediction of the measurement event when the third condition is met.
[0091] That is, the third condition is used to trigger the terminal device to end the prediction of the measurement event.
[0092] In this way, unnecessary prediction is ended in time, and the waste of energy and computing resources caused by the terminal device frequently performing the prediction of the measurement event is avoided.
[0093] In some implementations, the third condition is associated with one or more of the following: cell switching; neighbor cell measurement; maximum number of predictions of the measurement event.
[0094] In some implementations, the third condition can include one or more of the following: the terminal device completes the cell switching; the terminal device terminates the neighbor cell measurement; the number of predictions of the measurement event reaches the maximum number of predictions.
[0095] Optionally, if the third condition includes multiple conditions described above, for example, both the terminal device completes the cell switching and the terminal device terminates the neighbor cell measurement, the terminal device can end the prediction of the measurement event when any one of the conditions is met.
[0096] For the condition that the terminal device completes cell switching, the probability of switching again in a short period of time is low, and thus the prediction of the measurement event can be ended after the switching is completed. For the condition that the terminal device terminates the measurement of the neighbor cell, for example, the exit condition of the S measurement (such as the signal quality of the serving cell being greater than a preset threshold value) is met, or the maximum number of measurements of the neighbor cell is reached, at this time, the terminal device cannot obtain the measurement data of the neighbor cell any more, and thus the prediction of the measurement event can be ended. The maximum prediction number of the measurement event refers to the number of times that the terminal device can continuously predict the measurement event, and if the terminal device predicts the measurement event for the maximum prediction number of times and the cell switching does not occur or the measurement event is not predicted to occur, the prediction of the measurement event can be ended.
[0097] In some implementations, the fourth information includes fifth information. The fifth information is used to postpone the end time of the prediction of the measurement event in the case that the prediction number of the measurement event reaches the maximum prediction number.
[0098] If the terminal device has predicted that the measurement event will occur soon, but the prediction number of the measurement event has reached the maximum prediction number, the terminal device can continue to predict based on the fifth information, so as to avoid missing the occurrence of the prediction event and improve the performance of the prediction of the measurement event.
[0099] In some implementations, the fifth information is used to postpone the end time of the prediction of the measurement event to one or more of the following: the time when the terminal device completes the cell switching; the time when the terminal device terminates the measurement of the neighbor cell; the end time of the Mth prediction after the prediction number of the measurement event reaches the maximum prediction number, where M is a positive integer greater than or equal to 1. Here, the end time of the Mth prediction after the prediction number of the measurement event reaches the maximum prediction number refers to that the measurement event is predicted for M times after the prediction number of the measurement event reaches the maximum prediction number. The value of M can be agreed in advance or configured by the network device.
[0100] In some implementations, the network device can send the fourth information to the terminal device; correspondingly, the terminal device receives the fourth information sent by the network device. The fourth information is used to configure the third condition. The fourth information can also be regarded as the configuration information of the third condition.
[0101] The fourth information is carried in the RRC signaling sent by the network device, for example. The RRC signaling can be the RRC reconfiguration message or the RRC recovery message in the related art, or can also be a newly defined RRC signaling. The fourth information can be carried in the measurement configuration information of the RRM measurement, or be transmitted independently of the measurement configuration information.
[0102] The fourth information, and the configuration information of the first timer and the third information described above, can be respectively carried in different RRC signaling, or can be all or partially carried in the same RRC signaling. For the two kinds of information carried in different RRC signaling, the different RRC signaling can be sent at the same time or at different times.
[0103] Based on the above description, in the embodiments of the present application, by setting reasonable trigger conditions and / or termination conditions for the prediction process of the measurement event, the prediction of the measurement event can be timely carried out and / or the unnecessary measurement event prediction can be ended, the waste of energy consumption and computing resources caused by the frequent prediction of the measurement event by the terminal device is avoided, and the burden of the terminal device is reduced.
[0104] The method embodiments of the present application are described in detail above in combination with FIGS. 3 to 4, and the device embodiments of the present application are described in detail below in combination with FIGS. 5 to 7. It should be understood that the description of the method embodiments and the description of the device embodiments correspond to each other, and therefore, the parts not described in detail can be referred to the method embodiments.
[0105] FIG. 5 is a structural schematic diagram of a terminal device provided by the embodiments of the present application. The terminal device 500 shown in FIG. 5 can include a receiving unit 510. The processing unit 510 is configured to perform the prediction of the measurement event in a case where a first condition is met.
[0106] In an implementation manner, the first condition is associated with one or more of the following: S measurement; a signal measurement value of a serving cell of the terminal device; a signal measurement value of a neighbor cell of the terminal device; a moving speed of the terminal device; an area where the terminal device is located.
[0107] In an implementation manner, the first condition includes one or more of the following: a measurement condition corresponding to the S measurement is met; the signal measurement value of the serving cell of the terminal device is less than or equal to a first threshold; the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a second threshold; the signal measurement value of the serving cell of the terminal device is less than or equal to a third threshold, and the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a fourth threshold; the moving speed of the terminal device is greater than or equal to a fifth threshold; the terminal device is located in a predetermined area.
[0108] In an implementation manner, the prediction of the measurement event is started after the first condition is met and a first time length elapses.
[0109] In an implementation manner, the first time length is determined based on a timer configured by a network device.
[0110] In an implementation manner, the configuration information of the timer is carried in RRC signaling sent by the network device.
[0111] In an implementation manner, the prediction of the measurement event is based on a prediction model, and input data of the prediction model is a signal measurement value in a second time length, and the first time length is greater than or equal to a minimum value of the second time length.
[0112] In an implementation manner, the terminal device further includes a transceiver 520, which is configured to send first information to a network device, and the first information is used to determine a minimum value of the second time length.
[0113] In an implementation manner, the first information is used to indicate one or more of the following: the minimum value of the second time length; meta information of the prediction model, the meta information including the minimum value of the second time length; and an identifier of the prediction model.
[0114] In an implementation manner, the first information is sent under a second condition, and the second condition includes one or more of the following: receiving second information sent by the network device, the second information being used to request the terminal device to send the first information; reaching a periodic sending time point of the first information; and a change in a movement state of the terminal device.
[0115] In an implementation manner, the terminal device further includes a transceiver 520, which is configured to receive third information sent by a network device, and the third information is used to configure the first condition.
[0116] In an implementation manner, the third information includes one or more of the following: the first condition; a threshold associated with the first condition; a reference signal associated with the first condition; and configuration information of a timer, the timer being used to determine a prediction start time of the measurement event.
[0117] In an implementation manner, the reference signal includes an SSB and / or a CSI-RS.
[0118] In an implementation manner, the third information is carried in RRC signaling.
[0119] In an implementation manner, the processing unit 510 is further configured to end the prediction of the measurement event under a third condition.
[0120] In an implementation manner, the third condition is associated with one or more of the following: cell switching; neighbor cell measurement; and a maximum prediction number of the measurement event.
[0121] In an implementation manner, the third condition comprises one or more of the following: the terminal device completes cell switching; the terminal device terminates neighbor cell measurement; the predicted number of the measurement event reaches the maximum predicted number.
[0122] In an implementation manner, the terminal device further comprises a transceiver 520, configured to: receive fourth information sent by the network device, the fourth information being used for configuring the third condition.
[0123] In an implementation manner, the fourth information comprises fifth information, the fifth information being used for postponing the predicted end time of the measurement event in the case that the predicted number of the measurement event reaches the maximum predicted number.
[0124] In an implementation manner, the fifth information is used for postponing the predicted end time of the measurement event to one or more of the following: the time when the terminal device completes cell switching; the time when the terminal device terminates neighbor cell measurement; the end time of the Mth prediction after the predicted number of the measurement event reaches the maximum predicted number, M being a positive integer greater than or equal to 1.
[0125] In an implementation manner, the fourth information is carried in RRC signaling.
[0126] It can be understood that the processing unit 510 may, for example, be the processor 710. In addition, the terminal device 500 optionally further comprises a transceiver 730 and a memory 720, as shown in FIG. 7.
[0127] FIG. 6 is a structural schematic diagram of a network device provided by an embodiment of the present application. The network device 600 shown in FIG. 6 maycomprise a transceiver 610. The transceiver 610 is configured to send third information to a terminal device, the third information being used for configuring a first condition, the first condition being used for triggering the terminal device to predict a measurement event.
[0128] In an implementation manner, the first condition is associated with one or more of the following: S measurement; a signal measurement value of a serving cell of the terminal device; a signal measurement value of a neighbor cell of the terminal device; a moving speed of the terminal device; an area in which the terminal device is located.
[0129] In an implementation manner, the first condition comprises one or more of the following: the S measurement satisfies a corresponding measurement condition; a signal measurement value of a serving cell of the terminal device is less than or equal to a first threshold; a signal measurement value of a neighbor cell of the terminal device is greater than or equal to a second threshold; the signal measurement value of the serving cell of the terminal device is less than or equal to a third threshold, and the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a fourth threshold; a moving speed of the terminal device is greater than or equal to a fifth threshold; the terminal device is located in a predetermined area.
[0130] In an implementation manner, the prediction of the measurement event is initiated after the first condition is satisfied and a first time length elapses.
[0131] In an implementation manner, the first time length is determined based on a timer configured by a network device.
[0132] In an implementation manner, configuration information of the timer is carried in RRC signaling sent by the network device.
[0133] In an implementation manner, the prediction of the measurement event is based on a prediction model, input data of the prediction model is a signal measurement value in a second time length, and the first time length is greater than or equal to a minimum value of the second time length.
[0134] In an implementation manner, the transceiver 520 is further configured to receive first information sent by the terminal device, the first information being used to determine the minimum value of the second time length.
[0135] In an implementation manner, the first information is used to indicate one or more of the following: the minimum value of the second time length; meta information of the prediction model, the meta information comprising the minimum value of the second time length; and an identifier of the prediction model.
[0136] In an implementation manner, the first information is sent in a case where a second condition is satisfied, the second condition comprising one or more of the following: receiving second information sent by a network device, the second information being used to request the terminal device to send the first information; reaching a periodic sending time point of the first information; and a moving state of the terminal device changing.
[0137] In an implementation manner, the third information comprises one or more of the following: the first condition; a threshold associated with the first condition; a reference signal associated with the first condition; and configuration information of a timer used to determine a starting time of the prediction of the measurement event.
[0138] In an implementation manner, the reference signal comprises an SSB and / or a CSI-RS.
[0139] In an implementation manner, the third information is carried in RRC signaling.
[0140] In an implementation manner, the transceiver 520 is further configured to send fourth information to the terminal device, the fourth information being used for configuring a third condition, the third condition being used for ending the prediction of the measurement event.
[0141] In an implementation manner, the third condition is associated with one or more of the following: cell switching; neighbor cell measurement; maximum prediction number of the measurement event.
[0142] In an implementation manner, the third condition comprises one or more of the following: the terminal device completes cell switching; the terminal device terminates neighbor cell measurement; the prediction number of the measurement event reaches the maximum prediction number.
[0143] In an implementation manner, the fourth information comprises fifth information, the fifth information being used for postponing the prediction ending time of the measurement event in the case that the prediction number of the measurement event reaches the maximum prediction number.
[0144] In an implementation manner, the fifth information is used for postponing the prediction ending time of the measurement event to one or more of the following: the time when the terminal device completes cell switching; the time when the terminal device terminates neighbor cell measurement; the ending time of the Mth prediction after the prediction number of the measurement event reaches the maximum prediction number, M being a positive integer greater than or equal to 1.
[0145] In an implementation manner, the fourth information is carried in RRC signaling.
[0146] It can be understood that the transceiver 610 may, for example, be the transceiver 730. In addition, the network device 600 optionally further comprises a processor 710 and a memory 720, see FIG. 7.
[0147] FIG. 7 is a schematic structural diagram of an apparatus for communication to which embodiments of the present application can be applied. The dashed lines shown in FIG. 7 represent that the unit or module is optional. The apparatus 700 can be used to implement the methods described in the above method embodiments. The apparatus 700 may, for example, be a chip, a terminal device or a network device.
[0148] The apparatus 700 can include one or more processors 710. The processor 710 can support the apparatus 700 to implement the method described in the foregoing method embodiments. The processor 710 can be a general purpose processor or a special purpose processor. For example, the processor 710 can be a central processing unit (CPU). Alternatively, the processor 710 can also be other general purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic, discrete hardware components, etc. The general purpose processor can be a microprocessor or can be any conventional processor.
[0149] The apparatus 700 can also include one or more memories 720. The memory 720 stores a program that can be executed by the processor 710, so that the processor 710 executes the method described in the foregoing method embodiments. The memory 720 can be independent of the processor 710 or can be integrated in the processor 710.
[0150] The apparatus 700 can also include a transceiver 730. The processor 710 can communicate with other devices or chips through the transceiver 730. For example, the processor 710 can perform data transceiving with other devices or chips through the transceiver 730.
[0151] The embodiments of the present application also provide a communication system. The communication system includes the terminal device and the network device described above. In some implementations, the system further includes other devices that interact with the terminal device and the network device.
[0152] The embodiments of the present application also provide a computer readable storage medium for storing a program. The computer readable storage medium can be applied to the terminal device or the network device provided by the embodiments of the present application, and the program causes the computer to execute the method performed by the terminal device or the network device in the embodiments of the present application.
[0153] The embodiments of the present application also provide a computer program product. The computer program product includes a program. The computer program product can be applied to the terminal device or the network device provided by the embodiments of the present application, and the program causes the computer to execute the method performed by the terminal device or the network device in the embodiments of the present application.
[0154] The embodiments of the present application further provide a computer program. The computer program can be applied to the terminal device or the network device provided by the embodiments of the present application, and the computer program enables a computer to execute the method performed by the terminal device or the network device in the embodiments of the present application.
[0155] It should be understood that the terms "system" and "network" can be used interchangeably in the present application. In addition, the terms used in the present application are only used to explain the specific embodiments of the present application, and are not intended to limit the present application. The terms "first", "second", "third", and "fourth" and the like in the specification and claims of the present application and the drawings are used to distinguish different objects, and are not used to describe a particular order. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion.
[0156] In the embodiments of the present application, the "indication" mentioned can be direct indication, or indirect indication, or can be an indication of an associated relationship. For example, A indicates B, which can mean that B can be obtained by A; or A indirectly indicates B, for example, A indicates C, and B can be obtained by C; or A and B have an associated relationship.
[0157] In the embodiments of the present application, "B corresponding to A" means that B is associated with A, and B can be determined according to A. However, it should also be understood that determining B according to A does not mean that B is determined only according to A, but B can also be determined according to A and / or other information.
[0158] In the embodiments of the present application, the term "corresponding" can mean that there is a direct or indirect corresponding relationship between the two, or can mean that there is an associated relationship between the two, or can mean an indication and being indicated, configuration and being configured, and the like.
[0159] In the embodiments of the present application, "predefined" or "preconfigured" can be implemented by pre-saving corresponding codes, tables or other information that can be used to indicate related information in devices (for example, including terminal devices and network devices), and the present application does not limit the specific implementation manner. For example, predefinition can mean definition in a protocol.
[0160] In the embodiments of the present application, the "protocol" can refer to a standard protocol in the communication field, for example, can include an LTE protocol, an NR protocol, and a related protocol applied to a future communication system, and the present application does not limit this.
[0161] The term "and / or" used in the embodiments of the present application only describes an association relationship of associated objects, which means that there can be three relationships, for example, A and / or B can represent the following three cases: A exists alone, A and B exist together, and B exists alone. In addition, the character " / " in this document generally represents an "or" relationship between the front and rear associated objects.
[0162] In various embodiments of the present application, the size of the sequence number of each process described above does not mean the order of execution, and the execution order of each process should be determined according to its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.
[0163] In several embodiments provided by the present application, it should be understood that the disclosed system, device and method can be implemented by other ways. For example, the device embodiments described above are only schematic, and the division of the units is only a logical function division, and there can be another division way in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.
[0164] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or can be distributed on a plurality of network units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiments of the present application.
[0165] In addition, each functional unit in each embodiment of the present application can be integrated into a processing unit, or each unit can exist physically independently, or two or more units can be integrated into one unit.
[0166] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments can be implemented 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, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. 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 through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) mode. 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, data center and the like integrated with one or more available media sets. The available media can be magnetic media (such as floppy disk, hard disk, magnetic tape), optical media (such as digital video disc (DVD)) or semiconductor media (such as solid state disk (SSD)) and the like.
[0167] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.
Claims
1. A method of wireless communication, comprising: The method comprises: The terminal device performs prediction of a measurement event when a first condition is met.
2. The method of claim 1, wherein, The first condition is associated with one or more of the following: S-measure; a signal measurement value of a serving cell of the terminal device; a signal measurement value of a neighbor cell of the terminal device; a moving speed of the terminal device; a region in which the terminal device is located.
3. The method of claim 2, wherein, The first condition comprises one or more of the following: a measurement condition corresponding to the S-measure is met; the signal measurement value of the serving cell of the terminal device is less than or equal to a first threshold; the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a second threshold; the signal measurement value of the serving cell of the terminal device is less than or equal to a third threshold, and the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a fourth threshold; the moving speed of the terminal device is greater than or equal to a fifth threshold; the terminal device is located in a predetermined region.
4. The method according to any one of claims 1 to 3, characterized in that, The prediction of the measurement event is initiated after the first condition is met and a first time duration elapses.
5. The method of claim 4, wherein, The first time duration is determined based on a timer configured by a network device.
6. The method of claim 5, wherein, Configuration information of the timer is carried in radio resource control (RRC) signaling sent by the network device.
7. The method according to claim 5 or 6, characterized in that, The prediction of the measurement event is performed based on a prediction model, and input data of the prediction model is a signal measurement value within a second time duration, the first time duration being greater than or equal to a minimum value of the second time duration.
8. The method of claim 7, wherein, The method further comprises: The terminal device sends first information to the network device, the first information being used to determine the minimum value of the second time duration.
9. The method of claim 8, wherein, The first information is used to indicate one or more of the following: the minimum value of the second time duration; meta information of the prediction model, the meta information comprising the minimum value of the second time duration; an identifier of the prediction model.
10. The method according to claim 8 or 9, characterized in that, The first information is sent when a second condition is met, the second condition comprising one or more of the following: second information sent by the network device is received, the second information being used to request the terminal device to send the first information; a periodic sending time point of the first information is reached; a moving state of the terminal device changes.
11. The method according to any one of claims 1 to 10, characterized in that, The method further comprises: The terminal device receives third information sent by the network device, the third information being used to configure the first condition.
12. The method of claim 11, wherein, The third information comprises one or more of the following: the first condition; a threshold associated with the first condition; a reference signal associated with the first condition; configuration information of a timer used to determine a starting time of the prediction of the measurement event.
13. The method of claim 12, wherein, The reference signal comprises a synchronization signal / physical broadcast channel (SS / PBCH) block (SSB) and / or a channel state information reference signal (CSI-RS).
14. The method according to any one of claims 11 to 13, characterized in that, The third information is carried in RRC signaling.
15. The method according to any one of claims 1 to 14, characterized in that, The method further comprises: The terminal device ends the prediction of the measurement event when a third condition is met.
16. The method of claim 15, wherein, The third condition is associated with one or more of the following: cell handover; neighbor cell measurement; a maximum prediction number of the measurement event.
17. The method of claim 16, wherein, The third condition comprises one or more of the following: the terminal device completes cell handover; the terminal device terminates neighbor cell measurement; The predicted number of times of the measurement event reaches the maximum predicted number of times.
18. The method of any one of claims 15-17, wherein, The method further comprises: The terminal device receives fourth information sent by the network device, and the fourth information is used for configuring the third condition.
19. The method of claim 18, wherein, The fourth information comprises fifth information, and the fifth information is used for postponing the predicted end time of the measurement event in the case that the predicted number of times of the measurement event reaches the maximum predicted number of times.
20. The method of claim 19, wherein, The fifth information is used for postponing the predicted end time of the measurement event to one or more of the following: The time when the terminal device completes cell switching; The time when the terminal device terminates neighbor cell measurement; The end time of the Mth prediction after the predicted number of times of the measurement event reaches the maximum predicted number of times, M being a positive integer greater than or equal to 1.
21. The method of any one of claims 18-20, wherein, The fourth information is carried in RRC signaling.
22. A method of wireless communication, comprising: The method comprises: The network device sends third information to the terminal device, and the third information is used for configuring a first condition for triggering the terminal device to predict a measurement event.
23. The method of claim 22, wherein, The first condition is associated with one or more of the following: S-measure; The signal measurement value of the serving cell of the terminal device; The signal measurement value of the neighbor cell of the terminal device; The moving speed of the terminal device; The area in which the terminal device is located.
24. The method of claim 23, wherein, The first condition comprises one or more of the following: The S-measure meets a measurement condition corresponding thereto; The signal measurement value of the serving cell of the terminal device is less than or equal to a first threshold; The signal measurement value of the neighbor cell of the terminal device is greater than or equal to a second threshold; The signal measurement value of the serving cell of the terminal device is less than or equal to a third threshold, and the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a fourth threshold; The moving speed of the terminal device is greater than or equal to a fifth threshold; The terminal device is located in a predetermined area.
25. The method of any one of claims 22-24, wherein, The prediction of the measurement event is started after the first condition is met and a first time length elapses.
26. The method of claim 25, wherein, The first time length is determined based on a timer configured by the network device.
27. The method of claim 26, wherein, Configuration information of the timer is carried in radio resource control (RRC) signaling sent by the network device.
28. The method of claim 26 or 27, wherein, The prediction of the measurement event is based on a prediction model, and input data of the prediction model is a signal measurement value within a second time length, and the first time length is greater than or equal to a minimum value of the second time length.
29. The method of claim 28, wherein, The method further comprises: The network device receives first information sent by the terminal device, and the first information is used for determining the minimum value of the second time length.
30. The method of claim 29, wherein, The first information is used for indicating one or more of the following: The minimum value of the second time length; Meta information of the prediction model, the meta information comprising the minimum value of the second time length; An identifier of the prediction model.
31. The method of claim 29 or 30, wherein, The first information is sent in the case that a second condition is met, and the second condition comprises one or more of the following: Second information sent by the network device is received, and the second information is used for requesting the terminal device to send the first information; A periodic sending time point of the first information is reached; The moving state of the terminal device changes.
32. The method of any one of claims 22-31, wherein, The third information comprises one or more of the following: The first condition; The threshold associated with the first condition; The reference signal associated with the first condition; Configuration information of a timer used to determine a predicted start time of the measurement event.
33. The method of claim 32, wherein, The reference signal comprises a synchronization signal broadcast channel block (SSB) and / or a channel state information reference signal (CSI-RS).
34. The method of any one of claims 22-33, wherein, The third information is carried in RRC signaling.
35. The method of any one of claims 22-34, wherein, The method further comprises: The network device sends fourth information to the terminal device, the fourth information being used to configure a third condition for ending the prediction of the measurement event.
36. The method of claim 35, wherein, The third condition is associated with one or more of the following: Cell switching; Neighbor cell measurement; The maximum number of predictions of the measurement event.
37. The method of claim 36, wherein, The third condition comprises one or more of the following: The terminal device completes cell switching; The terminal device terminates neighbor cell measurement; The number of predictions of the measurement event reaches the maximum number of predictions.
38. The method of any one of claims 35-37, wherein, The fourth information comprises fifth information used to postpone the prediction end time of the measurement event in the case where the number of predictions of the measurement event reaches the maximum number of predictions.
39. The method of claim 38, wherein, The fifth information is used to postpone the prediction end time of the measurement event to one or more of the following: The time when the terminal device completes cell switching; The time when the terminal device terminates neighbor cell measurement; The end time of the Mth prediction after the number of predictions of the measurement event reaches the maximum number of predictions, M being a positive integer greater than or equal to 1.
40. The method of any one of claims 35-39, wherein, The fourth information is carried in RRC signaling.
41. A terminal device, comprising: Comprise: A processing unit configured to, in the case where a first condition is met, cause a terminal device to perform prediction of a measurement event.
42. The terminal device of claim 41, wherein, The first condition is associated with one or more of the following: S-measurement; A signal measurement value of a serving cell of the terminal device; A signal measurement value of a neighbor cell of the terminal device; A moving speed of the terminal device; An area in which the terminal device is located.
43. The terminal device of claim 42, wherein, The first condition comprises one or more of the following: A measurement condition corresponding to the S-measurement is met; The signal measurement value of the serving cell of the terminal device is less than or equal to a first threshold; The signal measurement value of the neighbor cell of the terminal device is greater than or equal to a second threshold; The signal measurement value of the serving cell of the terminal device is less than or equal to a third threshold, and the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a fourth threshold; The moving speed of the terminal device is greater than or equal to a fifth threshold; The terminal device is located in a predetermined area.
44. The terminal device of any one of claims 41 to 43, wherein, The prediction of the measurement event is started after a first time duration elapses in the case where the first condition is met.
45. The terminal device of claim 44, wherein, The first time duration is determined based on a timer configured by a network device.
46. The terminal device of claim 45, wherein, Configuration information of the timer is carried in radio resource control (RRC) signaling sent by the network device.
47. The terminal device of claim 45 or 46, wherein, The prediction of the measurement event is performed based on a prediction model, input data of the prediction model being signal measurement values in a second time duration, the first time duration being greater than or equal to a minimum value of the second time duration.
48. The terminal device of claim 47, wherein, Further comprise a transceiver configured to: Send first information to the network device, the first information being used to determine the minimum value of the second time duration.
49. The terminal device of claim 48, wherein, The first information is used to indicate one or more of the following: A minimum value of the second time length; Meta information of the prediction model, the meta information comprising the minimum value of the second time length; An identifier of the prediction model.
50. The terminal device of claim 48 or 49, wherein, The first information is sent in a case where a second condition is met, the second condition comprising one or more of the following: Receiving second information sent by a network device, the second information being used to request the terminal device to send the first information; Reaching a time point of periodic sending of the first information; A change in a moving state of the terminal device.
51. The terminal device of any one of claims 41 to 50, wherein, Further comprising a transceiving unit configured to: Receive third information sent by a network device, the third information being used to configure the first condition.
52. The terminal device of claim 51, wherein, The third information comprises one or more of the following: The first condition; A threshold associated with the first condition; A reference signal associated with the first condition; Configuration information of a timer used to determine a predicted starting time of the measurement event.
53. The terminal device of claim 52, wherein, The reference signal comprises a synchronization signal broadcast channel block (SSB) and / or a channel state information reference signal (CSI-RS).
54. The terminal device of any one of claims 51 to 53, wherein, The third information is carried in RRC signaling.
55. The terminal device of any one of claims 41 to 54, wherein, The processing unit is further configured to: End the prediction of the measurement event in a case where a third condition is met.
56. The terminal device of claim 55, wherein, The third condition is associated with one or more of the following: Cell switching; Neighbor cell measurement; A maximum prediction number of the measurement event.
57. The terminal device of claim 56, wherein, The third condition comprises one or more of the following: Completion of cell switching by the terminal device; Termination of neighbor cell measurement by the terminal device; The prediction number of the measurement event reaching the maximum prediction number.
58. The terminal device of any one of claims 55-57, wherein, Further comprising a transceiving unit configured to: Receive fourth information sent by a network device, the fourth information being used to configure the third condition.
59. The terminal device of claim 58, wherein, The fourth information comprises fifth information used to postpone a predicted ending time of the measurement event in a case where the prediction number of the measurement event reaches a maximum prediction number.
60. The terminal device of claim 59, wherein, The fifth information is used to postpone the predicted ending time of the measurement event to one or more of the following: A time when the terminal device completes cell switching; A time when the terminal device terminates neighbor cell measurement; An ending time of the Mth prediction after the prediction number of the measurement event reaches the maximum prediction number, M being a positive integer greater than or equal to 1.
61. The terminal device of any one of claims 58 to 60, wherein, The fourth information is carried in RRC signaling.
62. A network device, comprising: Comprise a transceiving unit configured to: Send third information to a terminal device, the third information being used to configure a first condition, the first condition being used to trigger the terminal device to predict a measurement event.
63. The network device of claim 62, wherein, The first condition is associated with one or more of the following: S measurement; A signal measurement value of a serving cell of the terminal device; A signal measurement value of a neighbor cell of the terminal device; A moving speed of the terminal device; An area in which the terminal device is located.
64. The network device of claim 63, wherein, The first condition comprises one or more of the following: Satisfying a measurement condition corresponding to the S measurement; The signal measurement value of the serving cell of the terminal device being less than or equal to a first threshold; The signal measurement value of the neighbor cell of the terminal device being greater than or equal to a second threshold; The signal measurement value of the serving cell of the terminal device is less than or equal to a third threshold, and the signal measurement value of the neighbor cell of the terminal device is greater than or equal to a fourth threshold; The moving speed of the terminal device is greater than or equal to a fifth threshold; The terminal device is located in a predetermined area.
65. The network device of any of claims 62-64, wherein, The prediction of the measurement event is started after the first condition is met and a first time length elapses.
66. The network device of claim 65, wherein, The first time length is determined based on a timer configured by a network device.
67. The network device of claim 66, wherein, Configuration information of the timer is carried in radio resource control (RRC) signaling sent by the network device.
68. The network device of claim 66 or 67, wherein, The prediction of the measurement event is based on a prediction model, input data of the prediction model being signal measurement values in a second time length, the first time length being greater than or equal to a minimum value of the second time length.
69. The network device of claim 68, wherein, The transceiver is further configured to: receive first information sent by the terminal device, the first information being used to determine the minimum value of the second time length.
70. The network device of claim 69, wherein, The first information is used to indicate one or more of the following: The minimum value of the second time length; Meta information of the prediction model, the meta information including the minimum value of the second time length; An identifier of the prediction model.
71. The network device of claim 69 or 70, wherein, The first information is sent in a case where a second condition is met, the second condition including one or more of the following: receiving second information sent by a network device, the second information being used to request the terminal device to send the first information; reaching a time point of periodic sending of the first information; a moving state of the terminal device changing.
72. The network device of any of claims 62-71, wherein, The third information includes one or more of the following: The first condition; A threshold associated with the first condition; A reference signal associated with the first condition; Configuration information of a timer used to determine a starting time of the prediction of the measurement event.
73. The network device of claim 72, wherein, The reference signal includes a synchronization signal broadcast channel (SSB) and / or a channel state information reference signal (CSI-RS). 74.The network device according to any one of claims 62 to 73, characterized in that, The third information is carried in RRC signaling.
75. The network device according to any of claims 62-74, wherein, The transceiver is further configured to: send fourth information to the terminal device, the fourth information being used to configure a third condition, the third condition being used to end the prediction of the measurement event.
76. The network device of claim 75, wherein, The third condition is associated with one or more of the following: cell switching; neighbor cell measurement; a maximum prediction number of the measurement event.
77. The network device of claim 76, wherein, The third condition includes one or more of the following: the terminal device completing cell switching; the terminal device terminating neighbor cell measurement; the prediction number of the measurement event reaching the maximum prediction number. 78.The network device according to any one of claims 75 to 77, characterized in that, The fourth information includes fifth information, the fifth information being used to postpone an ending time of the prediction of the measurement event in a case where the prediction number of the measurement event reaches the maximum prediction number.
79. The network device of claim 78, wherein, The fifth information is used to postpone the ending time of the prediction of the measurement event to one or more of the following: a time when the terminal device completes cell switching; a time when the terminal device terminates neighbor cell measurement; an ending time of the Mth prediction after the prediction number of the measurement event reaches the maximum prediction number, M being a positive integer greater than or equal to 1.
80. The network device of any of claims 75-79, wherein, The fourth information is carried in RRC signaling.
81. A terminal device, comprising: A terminal device comprising a transceiver, a memory for storing a program, and a processor for invoking the program in the memory and controlling the transceiver to receive or send a signal, so as to enable the terminal device to perform the method according to any one of claims 1-21.
82. A network device, comprising: A network device comprising a transceiver, a memory for storing a program, and a processor for invoking the program in the memory and controlling the transceiver to receive or send a signal, so as to enable the network device to perform the method according to any one of claims 22-40.
83. An apparatus, comprising: An apparatus comprising a processor for invoking a program from a memory, so as to enable the apparatus to perform the method according to any one of claims 1-40.
84. A chip, comprising: A chip comprising a processor for invoking a program from a memory, so that the device installed with the chip performs the method according to any one of claims 1-40.
85. A computer-readable storage medium, characterized in that, A computer program product having stored thereon a program, the program causing a computer to perform the method according to any one of claims 1-40.
86. A computer program product, characterised in that, A computer program product having stored thereon a program, the program causing a computer to perform the method according to any one of claims 1-40.
87. A computer program characterised in that, The computer program product causes a computer to perform the method according to any one of claims 1-40.
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