Method and device for wireless communication

Abstract

The present application provides a method for wireless communication. The method comprises: a first device sends first information to a second device, wherein the first information is used for indicating a first prediction value of a first cell, and the first cell is a current serving cell of a terminal device and / or a neighboring cell of the serving cell. According to the embodiments of the present application, a measurement result of some or all of measurement targets is predicted (a prediction value of the measurement result is the first prediction value), thereby facilitating reduction of the energy consumption of the first device and reduction of a delay of obtaining the measurement result.

Description

Method and apparatus for wireless communication Technical Field

[0001] The present application relates to the field of communication technology, and more particularly, to a method and device for wireless communication. Background Art

[0002] To manage the mobility of terminal devices, they typically need to measure relevant parameters. For example, a terminal device can simultaneously measure multiple frequencies to improve the effectiveness of mobility management. However, continuous multi-frequency measurement can lead to energy consumption issues for the terminal device and delays in reporting measurement results.

[0003] Summary of the Invention

[0004] The present application provides a method and device for wireless communication. The following introduces various aspects involved in the present application.

[0005] In a first aspect, a method for wireless communication is provided, comprising: a first device sends first information to a second device, wherein the first information is used to indicate a first predicted value of a first cell; wherein the first cell is a current serving cell of the terminal device and / or a neighboring cell of the serving cell.

[0006] In a second aspect, a method for wireless communication is provided, including: a second device receives first information sent by a first device, the first information being used to indicate a first predicted value of a first cell; wherein the first cell is the current service cell of the terminal device and / or a neighboring cell of the service cell.

[0007] According to a third aspect, a device for wireless communication is provided, which is a first device. The device includes: a sending unit for sending first information to a second device, wherein the first information is used to indicate a first predicted value of a first cell; wherein the first cell is the current service cell of the terminal device and / or a neighboring cell of the service cell.

[0008] In a fourth aspect, a device for wireless communication is provided, which is a second device, and includes: a receiving unit for receiving first information sent by a first device, wherein the first information is used to indicate a first predicted value of a first cell; wherein the first cell is the current service cell of the terminal device and / or a neighboring cell of the service cell.

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

[0010] In a sixth aspect, a wireless communication device is provided, comprising a processor for calling a program from a memory so that the device executes part or all of the steps in the method of the first aspect or the second aspect.

[0011] In a seventh aspect, a chip is provided, comprising a processor for calling a program from a memory so that the chip executes part or all of the steps in the method of the first aspect or the second aspect.

[0012] In an eighth aspect, a computer-readable storage medium is provided, on which a program is stored, wherein the program enables a wireless communication device to execute part or all of the steps in the method of the first aspect or the second aspect.

[0013] In a ninth aspect, a computer program product is provided, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, wherein the computer program is operable to cause a communication device to perform some or all of the steps of the methods of the various aspects described above. In some implementations, the computer program product may be a software installation package.

[0014] In a tenth aspect, a computer program is provided, which enables a wireless communication device to perform part or all of the steps in the method of the first aspect or the second aspect.

[0015] The embodiment of the present application helps to reduce the energy consumption of the first device and helps to reduce the delay in obtaining the measurement results by predicting the measurement results of some or all measurement targets (the predicted value of the measurement result is the first predicted value). BRIEF DESCRIPTION OF THE DRAWINGS

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

[0017] FIG2 is a schematic diagram of a neural network applicable to an embodiment of the present application.

[0018] Figure 3 is a schematic diagram of a convolutional neural network applicable to an embodiment of the present application.

[0019] FIG4 is a flow chart of a communication method provided in an embodiment of the present application.

[0020] FIG5 is a schematic diagram of a device for wireless communication according to an embodiment of the present application.

[0021] FIG6 is a schematic diagram of another device for wireless communication according to an embodiment of the present application.

[0022] FIG7 is a schematic structural diagram of a communication device according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] The technical solution in this application will be described below with reference to the accompanying drawings.

[0024] Figure 1 illustrates a wireless communication system 100 used in an embodiment of the present application. The wireless communication system 100 may include a network device 110 and a terminal device 120. The network device 110 may be a device that communicates with the terminal device 120. The network device 110 may provide communication coverage for a specific geographic area and may communicate with the terminal device 120 within the coverage area.

[0025] FIG1 exemplarily shows a network device and two terminals. Optionally, the wireless communication system 100 may include multiple network devices and each network device may include other numbers of terminal devices within its coverage area, which is not limited in the embodiments of the present application.

[0026] Optionally, the wireless communication system 100 may further include other network entities such as a network controller and a mobility management entity, which is not limited in the embodiment of the present application.

[0027] It should be understood that the technical solutions of the embodiments of the present application can be applied to various communication systems, such as: fifth generation (5G) system or new radio (NR), long term evolution (LTE) system, LTE frequency division duplex (FDD) system, LTE time division duplex (TDD), etc. The technical solutions provided in this application can also be applied to future communication systems, such as the sixth generation mobile communication system, satellite communication system, etc.

[0028] The terminal device in the embodiments of the present application may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station (MS), mobile terminal (MT), remote station, remote terminal, mobile device, user terminal, terminal, wireless communication device, user agent or user device. The terminal device in the embodiments of the present application may refer to a device that provides voice and / or data connectivity to a user and can be used to connect people, objects and machines, such as a handheld device with wireless connection function, a vehicle-mounted device, etc. The terminal device in the embodiments of the present application can be a mobile phone, a tablet computer, a laptop computer, a PDA, a mobile internet device (MID), a wearable device, a virtual reality (VR) device, an augmented reality (AR) device, a wireless terminal in industrial control, a wireless terminal in self-driving, a wireless terminal in remote medical surgery, a wireless terminal in a smart grid, a wireless terminal in transportation safety, a wireless terminal in a smart city, a wireless terminal in a smart home, etc. Optionally, the UE can be used to act as a base station. For example, the UE can act as a scheduling entity that provides sidelink signals between UEs in V2X or D2D, etc. For example, a cellular phone and a car communicate with each other using sidelink signals. The cellular phone and smart home devices communicate without relaying the communication signal through the base station.

[0029] The network device in the embodiments of the present application may be a device for communicating with a terminal device, and the network device may also be referred to as an access network device or a radio access network device, such as a base station. The network device in the embodiments of the present application may refer to a radio access network (RAN) node (or device) that connects a terminal device to a wireless network, a core network device, a model monitoring and management device, or an operation administration and maintenance (OAM) device. The base station can broadly cover various names as follows, or be replaced with the following names, such as: NodeB, evolved NodeB (eNB), next generation NodeB (gNB), relay station, access point, transmission point (TRP), transmission point (TP), master station MeNB, secondary station SeNB, multi-standard radio (MSR) node, home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), centralized unit-control plane (CU-CP), centralized unit-user plane (CU-UP) positioning node, etc.Core network equipment can broadly cover the following various names, or be replaced with the following names, such as: location management function (LMF) network element, network slice selection function (NSSF), authentication server function (AUSF), unified data management (UDM), access and mobility management function (AMF), session management function (SMF), policy control function (PCF), user plane function (UPF), sensing control function (SF), network data analysis function (NWDAF) network element.

[0030] The base station may be a macro base station, a micro base station, a relay node, a donor node or the like, or a combination thereof. The base station may also refer to a communication module, a modem or a chip for being set in the aforementioned device or apparatus. The base station may also be a mobile switching center and a device that performs the base station function in device-to-device D2D, vehicle-to-everything (V2X), machine-to-machine (M2M) communications, a network side device in a 6G network, a device that performs the base station function in future communication systems, and the like. The base station may support networks with the same or different access technologies. The embodiments of the present application do not limit the specific technology and specific device form adopted by the network equipment. The base station may be fixed or mobile. For example, a helicopter or a drone may be configured to act as a mobile base station, and one or more cells may move according to the location of the mobile base station. In other examples, a helicopter or a drone may be configured to be used as a device for communicating with another base station.

[0031] Base stations can be fixed or mobile. For example, a helicopter or drone can be configured to act as a mobile base station, and one or more cells can move based on the location of the mobile base station. In other examples, a helicopter or drone can be configured to act as a device that communicates with another base station.

[0032] In some deployments, the network device in the embodiments of the present application may refer to a CU or a DU, or the network device includes a CU and a DU. The gNB may also include an AAU.

[0033] The network equipment and terminal devices can be deployed on land, including indoors or outdoors, handheld or vehicle-mounted; they can also be deployed on water; they can also be deployed in the air on aircraft, balloons, and satellites. The embodiments of this application do not limit the scenarios in which the network equipment and terminal devices are located.

[0034] It should be understood that all or part of the functions of the communication device in this application can also be implemented through software functions running on hardware, or through virtualization functions instantiated on a platform (such as a cloud platform).

[0035] Artificial intelligence (AI)

[0036] In recent years, artificial intelligence research represented by neural networks has achieved great results in many fields, and it will play an important role in people's production and life for a long time to come.

[0037] FIG2 is a schematic diagram of a neural network applicable to an embodiment of the present application. The neural network shown in FIG2 can be divided into three categories according to the positions of different layers: an input layer 210, a hidden layer 220, and an output layer 230. Generally speaking, the first layer is the input layer 210, the last layer is the output layer 230, and the intermediate layers between the first and last layers are all hidden layers 220. Samples can be input from the input layer 210, processed by the hidden layer 220, and the final result is generated in the output layer 230. Among them, each node represents a processing unit, which can be considered to simulate a neuron. Multiple neurons form a layer of a neural network, and multiple layers of information transmission and processing construct an overall neural network.

[0038] With the continuous development of neural network research, deep learning algorithms have been proposed in recent years, introducing a large number of hidden layers. This layer-by-layer training of multi-hidden neural networks for feature learning has greatly improved the learning and processing capabilities of neural networks and has been widely applied in pattern recognition, signal processing, optimization and combination, anomaly detection, and other fields.

[0039] Similarly, with the development of deep learning, convolutional neural networks have also been further studied. Figure 3 is a schematic diagram of a convolutional neural network to which an embodiment of the present application is applicable. The basic structure of a convolutional neural network may include: an input layer 310, multiple convolutional layers 320, multiple pooling layers 330, a fully connected layer 340, and an output layer 350. The introduction of the convolutional layer 320 and the pooling layer 330 effectively controls the sharp increase in network parameters, limits the number of parameters, and exploits the characteristics of the local structure, thereby improving the robustness of the algorithm.

[0040] R18 proposes multiple use cases for applying AI to wireless communications, such as using AI / machine learning (ML) technology to compress and decompress channel state information (CSI), reducing air interface transmission overhead and improving the accuracy of CSI feedback information; using AI / ML technology to predict beam information in the time domain / spatial domain to improve the accuracy of beam selection; and using AI / ML technology to predict UE location information to improve the accuracy of terminal device location information in non-line of sight (NLOS) scenarios.

[0041] The following mainly introduces cell switching in mobility management.

[0042] Cell switching

[0043] Cell handover aims to improve the continuity of services provided by the communication system to terminal devices. In a wireless communication system, a terminal device can move from one cell (also known as the "source cell") to another cell (also known as the "target cell"). The cell can be a PCell or a primary / secondary cell (PSCell). The cell handover mechanism typically relies on the radio resource measurement (RRM) process.

[0044] For the traditional switching mechanism (also known as timely switching), in order to improve the continuity of the service provided by the communication system to the terminal device in the connected state, the network device will send a timely switching command to the terminal device at an appropriate time (for example, the signal measurement result of the terminal device in the service cell is lower than the threshold) to instruct the terminal device to perform cell switching. In the traditional switching mechanism, the timely switching command can be used to instruct the terminal device to switch from the source cell to the target cell. The timely switching command can, for example, include the identifier of the target cell and the configuration information of the target cell, so that the terminal device applies the configuration of the target cell to access the target cell. In some implementations, the above-mentioned timely switching command can be understood as a traditional switching message, or it can be an RRC reconfiguration message containing synchronization reconfiguration information.

[0045] For the conditional switching mechanism, the network device can send conditional switching configuration information to the terminal device to configure the configuration information associated with at least one conditional switching candidate cell to the terminal device. Accordingly, after receiving the conditional switching configuration information, the terminal device starts to execute the conditional switching evaluation process (that is, starts to execute the switching condition evaluation task related to the conditional switching) to evaluate whether the switching condition associated with the above-mentioned at least one conditional switching candidate cell is met. When the switching condition associated with the above-mentioned at least one conditional switching candidate cell is met, the terminal device can select a conditional switching candidate cell that meets the switching condition to initiate the switching process, and switch from the source cell (or "current serving cell") to the selected conditional switching candidate cell that meets the switching condition (the selected conditional switching candidate cell that meets the switching condition can also be called a "target cell").

[0046] RRM measurements

[0047] The purpose of RRM measurement is to achieve radio resource management. In some implementations, the terminal device can perform RRM measurement on the SSB and / or CSI-RS sent by the network device to obtain RRM measurement results.

[0048] The types of RRM measurements include intra-frequency measurement and inter-frequency / inter-RAT measurement.

[0049] It should be noted that the above-mentioned RRM measurement results are used to indicate the communication quality of the terminal device. In some implementations, the above-mentioned RRM measurement results may include one or more of the following measurement quantities: signal amplitude (Srxlev), signal strength (Squal), reference signal received power (reference signal received power, RSRP), reference signal received quality (reference signal received quality, RSRQ), signal to noise ratio (SNR), signal to interference plus noise ratio (SINR), received signal strength indication (RSSI), etc.

[0050] For connected terminals, the measurement process can be used to control the terminal device's cell handover process. For example, the measurement process can obtain signal measurement results of at least one neighboring cell and report the measurement results to the network device when the configuration conditions are met. The network device can then control the terminal's cell handover process based on the measurement results reported by the terminal device.

[0051] To allow connected terminal devices to selectively perform measurements, network devices typically configure one or more measurement frequencies for the terminal devices. For example, the network device can configure one or more measurement objects (MOs) for the terminal devices through dedicated signaling. The configuration information for each MO can include information about a target measurement frequency.

[0052] Because terminal device mobility is random, the L3 measurement process generally requires the terminal device to measure multiple measurement targets simultaneously, or in other words, to measure multiple frequency points simultaneously. When a measurement reporting event is met, the terminal device can report the above measurement results to the network device, so that the network device can determine which cell is more suitable as the target cell for the terminal device to switch to. In other words, determining the target cell for terminal device handover based on the measurement results of multiple frequency points helps to improve the rationality of the target cell.

[0053] However, continuous multi-frequency measurement can introduce numerous challenges. For example, continuous multi-frequency measurement consumes significant energy, hindering power conservation for terminal devices and potentially impacting user battery life. Furthermore, terminal devices typically report measurement results to network equipment only after continuous multi-frequency measurement is complete, which can lead to delays in reporting and, consequently, delays in the network equipment's determination of the target cell.

[0054] In order to solve the above problems, an embodiment of the present application provides a method for wireless communication, in which a first device predicts the measurement results of part or all of the measurement targets (the predicted value of the measurement results is the first predicted value) to replace the measurement process of the measurement target, thereby helping to reduce the energy consumption of the first device and helping to reduce the delay in obtaining the measurement results.

[0055] The following describes the method for wireless communication provided by an embodiment of the present application in conjunction with Figure 4. The method of Figure 4 is described from the perspective of interaction between a first device and a second device. The first device and the second device can be any type of network device and terminal device mentioned above. For example, the first device is a first terminal device, and the second device can be a network device or a second terminal device. For another example, the first device is a first network device, and the second device can be a terminal device or a second network device. The network device can be an access network device, a core network device, a model monitoring and management device, or an OAM device.

[0056] 4 , in step S410, the first device sends first information to the second device. Alternatively, the second device receives the first information sent by the first device. The first information may be used to indicate a first predicted value of the first cell.

[0057] As described above, during the cell handover process, the target cell can be determined based on the measurement results of the current serving cell and the measurement results of the neighboring cells. Therefore, in some embodiments, the first cell can be a serving cell and / or a neighboring cell. In other words, the first cell can be a serving cell or a neighboring cell, or the first cell can include a serving cell and a neighboring cell. The serving cell can be the current serving cell of the terminal device, and the neighboring cell can be a neighboring cell of the current serving cell of the terminal device.

[0058] The first predicted value may be a predicted value of one or more parameters. For example, the one or more parameters may be the measurement quantities in the aforementioned RRM measurement, that is, the first predicted value may be the predicted value of the aforementioned measurement quantity.

[0059] It should be noted that the measurement value mentioned later may refer to the actual measurement result, for example, the measurement result of one or more parameters mentioned above; the predicted value mentioned later may refer to the predicted value of the measurement result, for example, the predicted value of the measurement result of one or more parameters mentioned above.

[0060] In some embodiments, the first prediction value may include one or more of the following information: a prediction value at the current moment; a prediction value at one or more moments in the past; and a prediction value at one or more moments in the future.

[0061] As previously described, the target cell can generally be determined based on the measurement value of the measurement target at the current moment. Therefore, the first predicted value may include the predicted value at the current moment. In this way, the terminal device may partially perform or not perform the measurement process of the measurement target at the current moment, which helps the first device save energy and helps reduce the delay in obtaining measurement results.

[0062] In some cases, such as when the signal quality of the current service cell gradually deteriorates, it may be necessary to report the predicted value immediately. However, it usually takes a certain amount of time to obtain the predicted value at the current moment. Therefore, in order to ensure the continuity of the service provided by the communication system to the terminal device, the first predicted value may include the predicted value at one or more moments in the past. Obtaining the predicted value at the current moment and / or one or more moments in the future by inferring the measured values ​​and / or predicted values ​​over a period of time in the past, on the one hand, helps to save the measurement overhead and energy consumption of the terminal device, and on the other hand, it can report the measurement results in advance under special conditions (such as when the signal quality of the service cell gradually deteriorates), which helps to improve the wireless link failure or switching failure caused by late reporting of the measurement results.

[0063] As described above, the start condition for performing the measurement may be that the measurement result of the serving cell of the terminal device is lower than a certain threshold. That is, the signal quality of the serving cell may be gradually deteriorating when the measurement process is performed. In order to assist the second device in quickly determining a suitable target cell and avoid radio link failure or handover failure, the measurement results at one or more future moments may be predicted in advance, thereby assisting the second device in making a pre-judgment of the target cell. In other words, the first prediction value may include the prediction value at one or more future moments, which helps assist the second device in quickly determining a suitable target cell.

[0064] In some embodiments, the first predicted value may include multiple types of the above information. For example, the first predicted value may include the predicted value at the current moment and the predicted value at one or more moments in the past. As another example, the first predicted value may include the predicted value at the current moment and the predicted value at one or more moments in the future. As another example, the first predicted value may include the predicted value at one or more moments in the past, the predicted value at the current moment, and the predicted value at one or more moments in the future. Generally speaking, by predicting the measurement results at multiple moments in a period of time, it is helpful for the second device to judge the time domain change trend of the measurement results, thereby more accurately judging the appropriate target cell.

[0065] In some embodiments, the first prediction value may include a cell-level prediction value and / or a beam-level prediction value. That is, the first prediction value may include a cell-level prediction value or a beam-level prediction value. The first prediction value may also include both a cell-level prediction value and a beam-level prediction value. The cell-level prediction value may be a prediction value of one or more measurement results of a cell at a time, and the beam-level prediction value may be a prediction value of one or more measurement results of a beam at a time.

[0066] In some embodiments, the cell-level prediction value may include one or more of the cell-level prediction value at the current moment, the cell-level prediction value at one or more past moments, and the cell-level prediction value at one or more future moments. In other embodiments, the beam-level prediction value may include one or more of the beam-level prediction value at the current moment, the beam-level prediction value at one or more past moments, and the beam-level prediction value at one or more future moments.

[0067] It should be noted that the first cell may include multiple beams, and therefore the cell-level measurement value or cell-level prediction value of the first cell can be determined based on the measurement results of the beams of the first cell and / or the predicted values ​​of the measurement results. For example, the cell-level measurement value of the first cell can be a combined result of the measurement results of the beams of the first cell. For another example, the cell-level prediction value of the first cell can be a combined result of the measurement results of some beams of the first cell and the prediction results of some beams.

[0068] The following will provide a detailed introduction to the cell-level prediction value and beam-level prediction value.

[0069] In some embodiments, the cell-level prediction value at the first moment, such as the cell-level prediction value of the first cell at the first moment, can be determined based on one or more of the following information: the cell-level measurement value and / or cell-level prediction value of the first cell at the past K1 moments compared with the first moment; the measurement value and / or prediction value of part of the beam of the first cell at the past K1 moments compared with the first moment; and the measurement value and / or prediction value of part of the beam of the first cell at the first moment; wherein K1 is a natural number greater than or equal to 1.

[0070] The cell-level measurement value of the first cell at the past K1 moments may mean that the cell-level result at any of the past K1 moments is a true measurement result. The true cell-level measurement result at any moment may be a combined result of one or more beam measurement results of the first cell at that moment.

[0071] The cell-level prediction value of the first cell at the past K1 moments may mean that the cell-level results at any one of the past K1 moments are all prediction results. For example, the cell-level prediction value at any one moment may be a combined result of the beam-level results of the first cell at that moment. The beam-level results mentioned here may include the measured values ​​of some beams and the predicted values ​​of some beams, or include the predicted values ​​of all beams. As an example, the beam-level results of the first cell at any one of the past K1 moments may include part of the beam measurement values ​​and part of the beam prediction values.

[0072] In some embodiments, the cell-level prediction value at the first moment can be determined based on one or more of the above information through AI reasoning, such as AI model reasoning.

[0073] The above-mentioned first moment can be any one of the one or more moments associated with the first prediction value. As mentioned above, the first prediction value can include one or more of the prediction value of the current moment; the prediction value of one or more moments in the past; and the prediction value of one or more moments in the future. Then, the one or more moments associated with the first prediction value can include one or more of the current moment, one or more moments in the past, and one or more moments in the future. Therefore, the first moment can be any one of the current moment, one or more moments in the past, and one or more moments in the future. If the first prediction value includes the prediction value of the current moment, then the first moment can be the current moment; if the first prediction value includes the prediction value of one or more moments in the past, then the first moment can be any one of the one or more moments in the past; if the first prediction value includes the prediction value of one or more moments in the future, then the first moment can be any one of the one or more moments in the future.

[0074] Taking the first moment as the current moment as an example, a method for determining the cell-level prediction value of the first cell at the first moment (ie, the cell-level prediction value at the current moment) is introduced.

[0075] There are multiple ways to obtain the cell-level prediction value of the first cell at the first moment.

[0076] In some embodiments, the cell-level prediction value of the first cell at a first moment may be determined based on cell-level measurement values ​​of the first cell at past K1 moments.

[0077] For example, the cell-level measurement values ​​of the first cell at the past K1 moments may be the combined results of the measurement values ​​of the beams of the first cell at the past K1 moments. If K1=3, then the measurement values ​​of the beams of the first cell at the past three moments may be combined to obtain the cell-level measurement values ​​at these three moments, that is, the true cell-level measurement results at the three moments. As an example, the true measurement results of the four, five, and six beams of the first cell measured at these three moments may be combined to obtain the cell-level measurement results R1, R2, and R3 of the first cell at these three moments, and then the cell-level prediction value of the first cell at the first moment may be obtained by reasoning based on R1, R2, and R3. That is, R1 may be the combined result of the true measurement results of the four beams of the first cell at the corresponding moment, R2 may be the combined result of the true measurement results of the five beams of the first cell at the corresponding moment, and R3 may be the combined result of the true measurement results of the six beams of the first cell at the corresponding moment.

[0078] In some embodiments, the cell-level prediction value of the first cell at the first moment can be determined based on the cell-level prediction values ​​of the first cell at the past K1 moments. This implementation method saves energy consumption of the terminal device while being independent of the measured values ​​of some beams at the current moment, and has a wide range of applicability.

[0079] If K1 = 3, the measured values ​​of the partial beams of the first cell are obtained at the past three moments, and then the predicted values ​​of the remaining beams of the first cell can be inferred based on the measured values ​​of the partial beams. The measured values ​​of the partial beams of the first cell at any moment in the past K1 moments and the predicted values ​​of the remaining beams can be combined to obtain the cell-level predicted value at that moment, that is, the cell-level predicted values ​​of the first cell in the past K1 moments can be obtained.

[0080] As an example, if the first cell has 8 beams available, and the measurement values ​​of the 4 beams of the first cell are measured at the past 3 moments respectively (that is, the measurement values ​​of the 4 beams at each of the past 3 moments), then the predicted values ​​of the remaining 4 beams at each of the past 3 moments can be inferred based on the measurement values ​​of the 4 beams at each of the past 3 moments. The cell-level prediction values ​​of the past 3 moments can be obtained by merging the measurement values ​​of the 4 beams at each of the past 3 moments and the predicted values ​​of the 4 beams, which can be represented by R4, R5, and R6, and then the cell-level prediction value of the first cell at the first moment can be obtained by inference based on R4, R5 and R6. That is to say, R4 can be obtained based on the measurement values ​​of the 4 beams at the corresponding moment and the predicted values ​​of the remaining 4 beams. The acquisition method of R5 and R6 is similar to that of R4, and for the sake of brevity, it will not be repeated here.

[0081] In some embodiments, the cell-level prediction value of the first cell at the first moment can be determined based on the measurement values ​​of some beams of the first cell at the past K1 moments, as well as the measurement values ​​of some beams at the first moment. This implementation method, based on some actual measurement results at the first moment, helps improve the accuracy of the cell-level prediction value.

[0082] For example, first, based on the measured values ​​of the partial beams at the past K1 moments, the predicted values ​​of the partial beams at the past K1 moments (also called the predicted values ​​of the remaining beams) can be obtained. Then, based on the predicted values ​​of the remaining beams at the past K1 moments, the predicted value of the remaining beams at the first moment can be determined. Finally, based on the measured values ​​of the partial beams at the first moment and the predicted values ​​of the remaining beams at the first moment, the cell-level predicted value of the first cell at the first moment can be determined.

[0083] In order to simplify the above prediction process, the cell-level prediction value of the first cell at the first moment can be directly determined based on the measurement value of the partial beam of the first cell at the past K1 moments, the prediction value of the partial beam at the past K1 moments, the measurement value of the partial beam at the first moment, and the prediction value of the partial beam at the first moment.

[0084] In some embodiments, a cell-level prediction value of the first cell at the first moment may be determined based on the measured values ​​of some beams at the first moment. Because this implementation is based on the actual measurement results at the first moment, it helps improve the accuracy of the cell-level prediction value and helps reduce resource overhead for reference signal transmission.

[0085] For example, first, based on the measured values ​​of some beams at the first moment, AI inference can be used to obtain the predicted values ​​of the remaining beams of the first cell at the first moment. Secondly, based on the measured values ​​of some beams at the first moment and the predicted values ​​of the remaining beams of the first cell at the first moment, the cell-level predicted value of the first cell at the first moment can be combined.

[0086] It should be noted that the above-mentioned K1 can be a fixed-value parameter or a specific value within a parameter range. If K1 is a fixed-value parameter, the K1 parameter can be configured through a protocol predefined method, a system broadcast message method, or a dedicated signaling method (for example, a first device receives configuration information sent by a second device, and the configuration information includes the above-mentioned K1 parameter); if K1 is a specific value within a parameter range, the threshold value associated with the above-mentioned parameter range is configured through a protocol predefined method, a system broadcast message method, or a dedicated signaling method (for example, a first device receives configuration information sent by a second device, and the configuration information includes the threshold value parameter associated with the above-mentioned parameter range). In some embodiments, the predicted value at a moment needs to be obtained based on at least K (K is a natural number greater than or equal to 1) measured values ​​and / or predicted values ​​at the moment, and / or, the predicted value at a moment needs to be obtained based on at most Q (Q is a natural number greater than or equal to 1) measured values ​​and / or predicted values ​​at the moment, then the first device can freely select the K1 value according to actual conditions, as long as K1 satisfies the conditions of being greater than or equal to K, and / or less than or equal to Q. Here, K and / or Q are the threshold parameters associated with the above-mentioned parameter range. This method can improve the flexibility of the prediction and avoid the inference limitations brought about by the fixed K1 value.

[0087] The above text has introduced the relevant contents of the cell-level prediction value in detail, and the following text will introduce the relevant contents of the beam-level prediction value in detail.

[0088] The beam-level prediction value of the first cell at the first moment can be determined based on one or more of the following information: the beam-level measurement value of the first cell at the past K2 moments compared with the first moment; the measurement value and / or prediction value of part of the beam of the first cell at the past K2 moments compared with the first moment; and the measurement value of part of the beam of the first cell at the first moment; wherein K2 is a natural number greater than or equal to 1.

[0089] In some embodiments, the beam-level prediction value at the first moment can be determined based on one or more of the above information through AI reasoning, such as AI model reasoning.

[0090] As mentioned above, the first moment may be any one of one or more moments associated with the first prediction value, and for the sake of brevity, details will not be given here.

[0091] Taking the first moment as the current moment as an example, a method for determining the beam-level prediction value of the first cell at the first moment (ie, the beam-level prediction value at the current moment) is introduced.

[0092] There are multiple ways to obtain the beam-level prediction value of the first cell at the first moment.

[0093] In some embodiments, the beam-level prediction value of the first cell at a first moment can be determined based on actual measurement results at the past K2 moments (i.e., beam-level measurement values ​​of the first cell at the past K2 moments). In other words, the prediction value of a beam of the first cell at a first moment can be determined based on the measurement values ​​of the beam at the past K2 moments.

[0094] If K2=3, the beam-level measurement values ​​of the past three moments include the measurement values ​​of 4 beams (beams are identified as 1 to 4), the measurement values ​​of 5 beams (beams are identified as 1 to 5), and the measurement values ​​of 6 beams (beams are identified as 1 to 6), respectively. Then, based on the measurement values ​​of the beams identified as 1 to 4 in the past three moments, the beam-level prediction value of the first cell at the first moment can be obtained. For example, the beam-level prediction value of the first cell at the first moment may at least include the prediction values ​​of the beams identified as 1 to 4 at the first moment. Among them, the prediction value of the beam identified as 2 at the first moment can be determined based on the measurement values ​​of the beam identified as 2 in the past three moments, and the processing methods of the remaining beams are similar and will not be repeated here.

[0095] In some embodiments, the beam-level prediction value of the first cell at a first moment can be determined based on the measured values ​​of some beams of the first cell at the past K2 moments, as well as the predicted values ​​of some beams of the first cell at the past K2 moments. This implementation helps reduce energy consumption of terminal devices by predicting the measurement results of the first cell. Furthermore, this approach is not dependent on the current measurement value and has a wider range of applicability.

[0096] If K2=3, the number of beams available for the first cell is 8 (beam identifiers are 1 to 8), and the beam-level measurement values ​​for the past three moments include the measurement values ​​of 4 beams (beam identifiers are 1, 3, 5, 7), the measurement values ​​of 4 beams (beam identifiers are 1, 3, 5, 7), and the measurement values ​​of 4 beams (beam identifiers are 1, 3, 5, 7). Then, based on the measurement values ​​of the beams identified as 1, 3, 5, 7 for the past three moments, the predicted values ​​of the beams identified as 2, 4, 6, and 8 for the past three moments can be obtained, and then based on the measurement values ​​or predicted values ​​of each beam for the past three moments, the predicted value of each beam at the first moment can be obtained, that is, the beam-level predicted value of the first cell at the first moment. For example, the predicted value of the beam identified as 1 at the first moment can be obtained based on the measurement values ​​of the beam for the past three moments. For example, the predicted value of the beam identified as 4 at the first moment can be obtained based on the predicted values ​​of the beam at the past three moments, wherein the predicted values ​​of the beam at the past three moments can be inferred based on the measured values ​​of other beams at the past three moments.

[0097] To improve the accuracy of the beam-level prediction value for the first cell at the first moment, based on the above implementation, the measured values ​​of some beams of the first cell at the first moment can be added to determine the beam-level prediction value for the first cell at the first moment. In other words, the beam-level prediction value for the first cell at the first moment can be determined based on the measured values ​​of some beams of the first cell at the past K2 moments, the predicted values ​​of some beams of the first cell at the past K2 moments, and the measured values ​​of some beams of the first cell at the first moment.

[0098] Still taking K2=3 and the first cell having 8 available beams (beam identifiers 1-8) as an example, only reference signals for 4 beams (beam identifiers 1, 3, 5, and 7) are sent, which means that only 4 beams can be actually measured. The beam-level measurement values ​​for the past 3 moments include the measurement values ​​for 4 beams (beam identifiers 1, 3, 5, and 7), the measurement values ​​for 4 beams (beam identifiers 1, 3, 5, and 7), and the measurement values ​​for 4 beams (beam identifiers 1, 3, 5, and 7). As an example, based on the measurement values ​​of the beams identified as 1, 3, 5, and 7 at the past three moments, the predicted values ​​of the beams identified as 2, 4, 6, and 8 at the past three moments can be obtained; then, based on the predicted values ​​of the beams identified as 2, 4, 6, and 8 at the first moment, the predicted values ​​of the beams identified as 2, 4, 6, and 8 at the first moment can be obtained; finally, based on the measurement values ​​of the beams identified as 1, 3, 5, and 7 at the first moment and the predicted values ​​of the beams identified as 2, 4, 6, and 8 at the first moment, the beam-level prediction value of the first cell at the first moment can be obtained.

[0099] In some embodiments, the beam-level prediction value of the first cell at the first moment may be determined based on the measurement values ​​of some beams of the first cell at the first moment.

[0100] For example, the predicted value of the remaining beam of the first cell at the first moment can be inferred through the measured value of the partial beam of the first cell at the first moment, thereby obtaining the beam-level predicted value of the first cell at the first moment.

[0101] It should be noted that the above-mentioned K2 can be a fixed-value parameter or a specific value within a parameter range. If K2 is a fixed-value parameter, the K2 parameter can be configured through a protocol predefined method, a system broadcast message method, or a dedicated signaling method (for example, a first device receives configuration information sent by a second device, and the configuration information includes the above-mentioned K2 parameter); if K2 is a specific value within a parameter range, the threshold value associated with the above-mentioned parameter range is configured through a protocol predefined method, a system broadcast message method, or a dedicated signaling method (for example, a first device receives configuration information sent by a second device, and the configuration information includes the threshold value parameter associated with the above-mentioned parameter range). In some embodiments, the predicted value at a moment needs to be obtained based on at least K (K is a natural number greater than or equal to 1) moment measurement values ​​and / or predicted values, and / or, the predicted value at a moment needs to be obtained based on at most Q (Q is a natural number greater than or equal to 1) moment measurement values ​​and / or predicted values. Then the first device can freely select the K2 value according to actual conditions, as long as K2 satisfies the conditions of being greater than or equal to K, and / or less than or equal to Q. Here, K and / or Q are the threshold parameters associated with the above-mentioned parameter range. This method can improve the flexibility of the prediction and avoid the inference limitations brought about by the fixed K2 value.

[0102] In some embodiments, the K1 moments or K2 moments need to meet certain conditions to improve the accuracy of the first prediction value. For example, the K1 moments or K2 moments may meet one or more of the following conditions: the time difference between any two adjacent moments is greater than or equal to a first threshold (condition 1); the time difference between any two adjacent moments is less than or equal to a second threshold (condition 2); the time difference between the first moment and the second moment in the K1 moments or K2 moments is less than or equal to a third threshold (condition 3); the time difference between the first moment and the second moment in the K1 moments or K2 moments is greater than or equal to a fourth threshold (condition 4); the time difference between the first moment and the third moment in the K1 moments or K2 moments is less than or equal to a fifth threshold (condition 5); and the time difference between the first moment and the third moment in the K1 moments or K2 moments is greater than or equal to a sixth threshold (condition 6); wherein the second moment is the moment in the K1 moments or K2 moments that is farthest from the first moment, and the third moment is the moment in the K1 moments or K2 moments that is closest to the first moment.

[0103] Condition 1 can prevent the K1 or K2 moments from being too concentrated; condition 2 can prevent the K1 or K2 moments from being too dispersed; and one or more of conditions 3 to 6 can help improve the accuracy of the predicted value. By setting the first to sixth thresholds, the temporal distribution of the K1 or K2 moments can be adjusted, thereby helping to improve the accuracy of the first predicted value.

[0104] It should be noted that K1 moments or K2 moments satisfying one or more of the above conditions may refer to K1 moment satisfying one or more of the above conditions, or K2 moment satisfying one or more of the above conditions, or may refer to both K1 moment and K2 moment satisfying one or more of the above conditions. If both K1 moment and K2 moment satisfy one or more of the above conditions, then the conditions satisfied by K1 moment and the conditions satisfied by K2 moment may be the same or different. If K1 moment and K2 moment satisfy the same condition, then the thresholds corresponding to K1 moment and K2 moment in the condition may be the same or different. For example, K1 moment and K2 moment may both satisfy the condition "the time difference between any two adjacent moments is greater than or equal to the first threshold value." For another example, K1 moment may satisfy that the time difference between any two adjacent moments is greater than or equal to X, and K2 moment may satisfy that the time difference between any two adjacent moments is greater than or equal to Y.

[0105] If the first device needs to report the predicted values ​​for the past K3 moments, that is, the first predicted value includes the predicted values ​​for the past K3 moments, then it may be necessary to select the predicted values ​​for K3 moments from the predicted values ​​for the past multiple moments for reporting. The past multiple moments mentioned here can refer to the past multiple moments relative to the reporting triggering moment. If the measurement report can also be triggered by a first preset event, the past multiple moments mentioned here are the past multiple moments relative to the triggering moment of the first preset event.

[0106] In order to improve the generalization of the information contained in the first prediction value, the K3 moments can meet certain conditions. Taking the measurement report triggered by the first preset event as an example, the K3 moments can meet one or more of the following conditions: the time difference between any two adjacent moments is greater than or equal to the seventh threshold; the time difference between any two adjacent moments is less than or equal to the eighth threshold; the time difference between the first preset event triggering moment and the fourth moment in the K3 moments is less than or equal to the ninth threshold; the time difference between the first preset event triggering moment and the fourth moment in the K3 moments is greater than or equal to the tenth threshold; the time difference between the first preset event triggering moment and the fifth moment in the K3 moments is less than or equal to the eleventh threshold; and the time difference between the first preset event triggering moment and the fifth moment in the K3 moments is greater than or equal to the twelfth threshold; wherein the fourth moment is the moment farthest from the first preset event triggering moment among the K3 moments, the fifth moment is the moment closest to the first preset event triggering moment among the K3 moments, and K3 is a natural number greater than or equal to 1.

[0107] By setting the seventh to twelfth thresholds, the time domain distribution of the K3 moments can be adjusted so that the predicted values ​​based on the K3 moments can more accurately fit the curve of the first predicted value over a period of time, thereby helping to improve the accuracy of mobility trend judgment and the accuracy of cell handover decisions. If the first predicted value includes a beam-level predicted value, the above threshold settings not only help improve the accuracy of cell handover decisions but also help improve the rationality of beam-based non-contention random access resource allocation.

[0108] If the first device needs to report predicted values ​​for K4 future moments, that is, the first predicted value includes predicted values ​​for K4 future moments, then it may be necessary to select predicted values ​​for K4 future moments from the predicted values ​​for multiple future moments for reporting. The multiple future moments mentioned here can refer to multiple future moments relative to the reporting triggering moment. If the measurement report can also be triggered by a first preset event, then the multiple future moments mentioned here are multiple future moments after the triggering moment of the first preset event.

[0109] In order to improve the generalization of the information contained in the first prediction value, the K4 moments can meet certain conditions. Taking the measurement report triggered by the first preset event as an example, the K4 moments can meet one or more of the following conditions: the time difference between any two adjacent moments is greater than or equal to the thirteenth threshold; the time difference between any two adjacent moments is less than or equal to the fourteenth threshold; the time difference between the first preset event triggering moment and the sixth moment in the K4 moments is less than or equal to the fifteenth threshold; the time difference between the first preset event triggering moment and the sixth moment in the K4 moments is greater than or equal to the sixteenth threshold; the time difference between the first preset event triggering moment and the seventh moment in the K4 moments is less than or equal to the seventeenth threshold; and the time difference between the first preset event triggering moment and the seventh moment in the K4 moments is greater than or equal to the eighteenth threshold; wherein the sixth moment is the moment farthest from the first preset event triggering moment in the K4 moments, the seventh moment is the moment closest to the first preset event triggering moment in the K4 moments, and K4 is a natural number greater than or equal to 1.

[0110] By setting the thirteenth to eighteenth thresholds, the time domain distribution of K4 moments can be adjusted so that the predicted values ​​based on K4 moments can more accurately fit the curve of the first predicted value within a period of time, thereby helping to improve the accuracy of mobility trend judgment and the accuracy of cell switching decisions.

[0111] It should be noted that the above-mentioned K3 or K4 can be a fixed value parameter or a specific value within a parameter range. If K3 or K4 is a fixed value parameter, the K3 or K4 parameter can be configured through a protocol predefined method, a system broadcast message method, or a dedicated signaling method (for example: the first device receives configuration information sent by the second device, and the configuration information includes the above-mentioned K3 or K4 parameter); if K3 or K4 is a specific value within a parameter range, the threshold value associated with the above-mentioned parameter range is configured through a protocol predefined method, a system broadcast message method, or a dedicated signaling method (for example: the first device receives configuration information sent by the second device, and the configuration information includes the threshold value parameter associated with the above-mentioned parameter range). In some embodiments, the first device needs to report at least K (K is a natural number greater than or equal to 1) measurement values ​​and / or predicted values ​​at a time, and / or the first device needs to report at most Q (Q is a natural number greater than or equal to 1) measurement values ​​and / or predicted values ​​at a time. Then the first device can freely select K3 or K4 values ​​according to actual conditions, as long as K3 and / or K4 satisfy the conditions of being greater than or equal to K and / or less than or equal to Q (including the conditions of K3 being greater than or equal to K and / or less than or equal to Q, K4 being greater than or equal to K and / or less than or equal to Q, and the sum of K3+K4 being greater than or equal to K and / or less than or equal to Q). Here, K and / or Q are the threshold parameters associated with the above-mentioned parameter range. This method can improve the flexibility of reporting prediction results and avoid the measurement result reporting delay problem caused by fixing the K3 or K4 values. Of course, if the measurement results and / or prediction results of the current moment (the moment when the first preset event is triggered) also need to be reported, the current moment can participate in the above-mentioned moment quantity constraint (for example: K3 satisfies the scenario of being greater than or equal to K-1, and / or less than or equal to Q-1) or not participate, and this application does not impose any restrictions.

[0112] As mentioned above, the measurement report (or it can be called the cell switching decision assistance process) can be triggered by a first preset event, or the cell switching decision assistance process can be triggered by a first preset event, so the first prediction value can be associated with the triggering moment of the first preset event. If the first prediction value includes the prediction value at the current moment, then the prediction value at the current moment can refer to the prediction value at the moment when the first preset event is triggered. If the first prediction value includes the prediction value at one or more moments in the past, then the prediction value at one or more moments in the past can refer to the prediction value at one or more moments in the past of the moment when the first preset event is triggered. If the first prediction value includes the prediction value at one or more moments in the future, then the prediction value at one or more moments in the future can refer to the prediction value at one or more moments in the future of the moment when the first preset event is triggered.

[0113] The first preset event may be associated with various factors, such as the signal quality of the serving cell, the signal quality of the neighboring cell, the location of the first device, relative time, absolute time, etc. In some cases, measurement reporting may be performed periodically, and thus the first preset event may be associated with the state of a periodic measurement reporting timer.

[0114] The first preset event may include a first type of preset event. In some embodiments, the first type of preset event includes one or more of the following events: the measurement value of the serving cell is greater than or equal to the nineteenth threshold (which may be called an A1 event); the measurement value of the serving cell is less than or equal to the twentieth threshold (which may be called an A2 event); the difference between the measurement value of the neighboring cell and the measurement value of the primary cell PCell or the primary and secondary cells PSCell is greater than or equal to the first offset (which may be called an A3 event); the measurement value of the neighboring cell is greater than or equal to the twenty-first threshold (which may be called an A4 event); the measurement value of the primary cell or the primary and secondary cells is less than the twenty-second threshold, and the measurement value of the neighboring cell or the secondary cell is greater than the twenty-third threshold (which may be called an A5 event); the difference between the measurement value of the neighboring cell and the measurement value of the secondary cell SCell is greater than or equal to the second offset (which may be called an A6 event); the first preset event may include a first type of preset event. The distance between the first device and the first reference point is greater than or equal to the twenty-fourth threshold (which can be called an A8 event); the distance between the first device and the second reference point is less than or equal to the twenty-fifth threshold (which can be called an A9 event); the measurement value of the neighboring cell is greater than or equal to the twenty-sixth threshold, and the neighboring cell and the serving cell are based on different wireless access technologies (that is, the neighboring cell and the serving cell are different frequencies / different systems) (which can be called an A10 event); the measurement value of the primary cell PCell is less than the twenty-seventh threshold, and the measurement value of the neighboring cell is greater than the twenty-eighth threshold, wherein the neighboring cell and the serving cell are based on different wireless access technologies (which can be called an A11 event); the periodic measurement reporting timer times out (which can be called an A12 event); the first absolute moment is reached (which can be called an A13 event); and the first time has passed since the successful receipt of the measurement configuration (which can be called an A14 event).

[0115] It should be noted that any of the above-mentioned first type of preset events can be used in combination with the trigger time (TTT) (i.e., the TTT constraint behavior is considered when predicting the measurement results) or used independently of TTT (i.e., the TTT constraint behavior is not considered when predicting the measurement results).

[0116] The measurement value mentioned here may be a measurement result of a signal, for example, the measurement value of a serving cell may refer to a measurement result of a signal of the serving cell.

[0117] Typically, when a measurement value of a serving cell, such as a signal quality measurement result, is poor, a measurement reporting process may be triggered. For example, the first type of preset event may include an A2 event.

[0118] Whether to perform cell switching is not only associated with the measurement value of the serving cell, but also with the measurement value of the neighboring cell. For example, the cell switching decision process is triggered only when the measurement value of the neighboring cell is higher than the measurement value of the serving cell. As an example, when the difference between the measurement value of the neighboring cell and the measurement value of the primary cell or the primary and secondary cells is greater than or equal to an offset, the decision on whether to perform cell switching is considered, such as the first type of preset event may include an A3 event. As another example, the first type of preset event may include an A6 event. For another example, when the measurement value of the serving cell is low and the measurement value of the neighboring cell is high, the cell switching decision process may be triggered. As an example, when the measurement value of the serving cell (i.e., the measurement value of the primary cell or the primary and secondary cell) is less than the 22nd threshold and the measurement value of the neighboring cell or the secondary cell is greater than the 23rd threshold, the cell switching decision process may be triggered, i.e., the first type of preset event may include an A5 event. As another example, the first type of preset event may include an A11 event.

[0119] For ease of implementation, the cell handover decision process may be triggered when the signal quality of the neighboring cell is very good. For example, when the measured value of the neighboring cell is greater than or equal to the 21st threshold, the cell handover decision process may be triggered. That is, the first type of preset event may include an A4 event.

[0120] When the signal quality of the serving cell is too poor, the measurement and cell handover decision process may not be completed, so the first type of preset event may include the measurement value of the serving cell being greater than or equal to the nineteenth threshold, ie, event A1.

[0121] The change in the distance between the terminal device and some reference points can reflect the mobility characteristics of the terminal device, so the cell switching decision process can be triggered by the distance relationship between the terminal device and some reference points. For example, when the distance between the terminal device and the first reference point is greater than or equal to the twenty-fourth threshold, or the distance between the terminal device and the second reference point is less than or equal to the twenty-fifth threshold, the cell switching decision process can be triggered. For another example, when the distance between the terminal device and the first reference point is greater than or equal to the twenty-fourth threshold, and the distance between the terminal device and the second reference point is less than or equal to the twenty-fifth threshold (which can be called an A7 event), the cell switching decision process can be triggered. That is, the first type of preset event can include one or more of the A7 event, the A8 event, and the A9 event. Among them, the above-mentioned first reference point can be, for example, the center position of the cell, and the above-mentioned second reference point can be, for example, a certain position at the edge of the cell.

[0122] In some embodiments, measurement reporting can be performed periodically to improve system reliability. The periodic measurement reporting can be controlled by a timer, by setting the absolute time of reporting, or by setting the relative time of reporting. For example, when a timer associated with the periodic measurement reporting times out, the measurement reporting can be performed. For another example, when the time reaches the first absolute time, the measurement reporting can be performed. For another example, the relative time of the measurement reporting can be a relative time based on the time when the measurement configuration is successfully received. As an example, the first time has passed since the measurement configuration was successfully received, and the measurement reporting can be performed. Based on this, the first type of preset event can include one or more of the A12 event, the A13 event, and the A14 event.

[0123] Triggering the measurement reporting process by the first type of preset event helps to make a cell handover decision in a timely manner.

[0124] In some embodiments, the first preset event may further include a second type of preset event, such as the second type of preset event may include the first type of preset event being expected to occur within a second time. The second type of preset event can be used to predict some parameters within a future period of time, such as parameters related to cell signal quality, and report measurement results in advance, which helps to pre-judge the mobility of the terminal device and pre-judge the cell handover, thereby helping to reduce the probability of cell handover failure or radio link failure.

[0125] For example, the second type of preset event may include one or more of the following events: the measurement value of the serving cell is greater than or equal to the nineteenth threshold and is expected to occur within t1; the measurement value of the serving cell is less than or equal to the twentieth threshold and is expected to occur within t2; the difference between the measurement value of the neighboring cell and the measurement value of the primary cell PCell or the primary and secondary cells PSCell is greater than or equal to the first offset and is expected to occur within t3; the measurement value of the neighboring cell is greater than or equal to the twenty-first threshold and is expected to occur within t4; the measurement value of the primary cell or the primary and secondary cells is less than the twenty-second threshold, and the measurement value of the neighboring cell or the secondary cell is greater than the twenty-third threshold and is expected to occur within t5; the difference between the measurement value of the neighboring cell and the measurement value of the secondary cell SCell is greater than or equal to the second offset and is expected to occur within t6; the distance between the first device and the first reference point is greater than or equal to the second offset and is expected to occur within t7. The distance is greater than or equal to the twenty-fourth threshold and is expected to occur within t7; the distance between the first device and the second reference point is less than or equal to the twenty-fifth threshold and is expected to occur within t8; the measurement value of the neighboring cell is greater than or equal to the twenty-sixth threshold, and the neighboring cell and the serving cell are based on different wireless access technologies (that is, the neighboring cell and the serving cell are based on different frequencies / different systems) and is expected to occur within t9; the measurement value of the main cell PCell is less than the twenty-seventh threshold, and the measurement value of the neighboring cell is greater than the twenty-eighth threshold and is expected to occur within t10, wherein the neighboring cell and the serving cell are based on different wireless access technologies; the periodic measurement reporting timer expires and is expected to occur within t11; the first absolute moment is reached and is expected to occur within t12; and the first time has passed since the successful receipt of the measurement configuration and is expected to occur within t13.

[0126] The second time (ie, t1 to t13) corresponding to different events in the second type of preset events may be the same or different.

[0127] It should be noted that any of the above-mentioned second type of preset events can be used in combination with TTT (ie, TTT constraint behavior is considered when predicting measurement results) or used independently of TTT (ie, TTT constraint behavior is not considered when predicting measurement results).

[0128] In some embodiments, the first preset event may further include a third type of preset event, such as the third type of preset event may include that the first type of preset event is expected to occur within the second time, and the measurement value of the serving cell is less than or equal to a twenty-ninth threshold. The third type of preset event can avoid triggering measurement reporting when the serving cell signal quality is good, thereby helping to save energy consumption of the terminal device.

[0129] For example, the third type of preset event may include one or more of the following events: the measurement value of the serving cell is greater than or equal to the nineteenth threshold and is expected to occur within t1, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; the measurement value of the serving cell is less than or equal to the twentieth threshold and is expected to occur within t2, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; the difference between the measurement value of the neighboring cell and the measurement value of the primary cell PCell or the primary and secondary cells PSCell is greater than or equal to the first offset and is expected to occur within t3, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; the neighboring cell The measurement value of the primary cell or the primary and secondary cell is greater than or equal to the twenty-first threshold and is expected to occur within t4, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; the measurement value of the primary cell or the primary and secondary cell is less than the twenty-second threshold, and the measurement value of the neighboring cell or the secondary cell is greater than the twenty-third threshold and is expected to occur within t5, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; the difference between the measurement value of the neighboring cell and the measurement value of the secondary cell SCell is greater than or equal to the second offset and is expected to occur within t6, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; the distance between the first device and the first reference point is greater than or equal to the second The fourteenth threshold is expected to occur within t7, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; the distance between the first device and the second reference point is less than or equal to the twenty-fifth threshold and is expected to occur within t8, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; the measurement value of the neighboring cell is greater than or equal to the twenty-sixth threshold, and the neighboring cell and the serving cell are based on different wireless access technologies (that is, the neighboring cell and the serving cell are different frequencies / different systems) and are expected to occur within t9, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; the measurement value of the primary cell PCell is less than the twenty-seventh threshold, and the neighboring cell The measurement value of the serving cell is greater than the twenty-eighth threshold and is expected to occur within t10, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold, wherein the neighboring cell and the serving cell are based on different radio access technologies; the periodic measurement reporting timer expires and is expected to occur within t11, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; the first absolute moment is expected to occur within t12, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold; and the first time has passed since the successful receipt of the measurement configuration and is expected to occur within t13, and the measurement value of the serving cell is less than or equal to the twenty-ninth threshold.

[0130] The second time (ie, t1 to t13) values ​​corresponding to different events in the third type of preset events may be the same or different, and the twenty-ninth threshold values ​​corresponding to different events may be the same or different.

[0131] It should be noted that any of the above third type of preset events can be used in combination with TTT (ie, TTT constraint behavior is considered when predicting measurement results) or used independently of TTT (ie, TTT constraint behavior is not considered when predicting measurement results).

[0132] In some embodiments, the first preset event may further include a fourth type of preset event. For example, the fourth type of preset event may include the first type of preset event being expected to occur within a second time period, and the measured value of the serving cell being less than or equal to a 30th threshold value and lasting for a third time period. The fourth type of preset event can avoid triggering measurement reporting when the serving cell signal quality is good, and can also avoid the occasional measurement value of the serving cell signal being lower than the threshold value, thereby triggering measurement reporting, thereby helping to improve the stability of the measurement reporting mechanism.

[0133] For example, the fourth type of preset events may include one or more of the following events: the measurement value of the serving cell is greater than or equal to the nineteenth threshold and is expected to occur within t1, and the measurement value of the serving cell is less than or equal to the thirtieth threshold and lasts for W (W is a time threshold); the measurement value of the serving cell is less than or equal to the twentieth threshold and is expected to occur within t2, and the measurement value of the serving cell is less than or equal to the thirtieth threshold and lasts for W; the difference between the measurement value of the neighboring cell and the measurement value of the primary cell PCell or the primary and secondary cell PSCell is greater than or equal to the first offset and is expected to occur within t3, and the measurement value of the serving cell is less than or equal to the thirtieth threshold and lasts for W; the measurement value of the neighboring cell is greater than or equal to the 21st threshold and is expected to occur within t4, while the measurement value of the serving cell is less than or equal to the 30th threshold and lasts for W; the measurement value of the primary cell or the primary and secondary cells is less than the 22nd threshold, and the measurement value of the neighboring cell or the secondary cell is greater than the 23rd threshold and is expected to occur within t5, while the measurement value of the serving cell is less than or equal to the 30th threshold and lasts for W; the difference between the measurement value of the neighboring cell and the measurement value of the secondary cell SCell is greater than or equal to the second offset and is expected to occur within t6, while the measurement value of the serving cell is less than or equal to the 30th threshold and lasts for W; the distance between the first device and the first reference point is greater than or equal to The twenty-fourth threshold is expected to occur within t7, and the measurement value of the serving cell is less than or equal to the thirtieth threshold and lasts for W; the distance between the first device and the second reference point is less than or equal to the twenty-fifth threshold and is expected to occur within t8, and the measurement value of the serving cell is less than or equal to the thirtieth threshold and lasts for W; the measurement value of the neighboring cell is greater than or equal to the twenty-sixth threshold, and the neighboring cell and the serving cell are based on different wireless access technologies (that is, the neighboring cell and the serving cell are different frequencies / systems) and is expected to occur within t9, and the measurement value of the serving cell is less than or equal to the thirtieth threshold and lasts for W; the measurement value of the primary cell PCell is less than the twenty-seventh threshold, and the neighboring cell's The measurement value is greater than the 28th threshold and is expected to occur within t10, and the measurement value of the serving cell is less than or equal to the 30th threshold and lasts for W, wherein the neighboring cell and the serving cell are based on different wireless access technologies; the periodic measurement reporting timer timeout is expected to occur within t11, and the measurement value of the serving cell is less than or equal to the 30th threshold and lasts for W; the arrival of the first absolute moment is expected to occur within t12, and the measurement value of the serving cell is less than or equal to the 30th threshold and lasts for W; and the first time has passed since the successful receipt of the measurement configuration and is expected to occur within t13, and the measurement value of the serving cell is less than or equal to the 30th threshold and lasts for W.

[0134] The second time (i.e., t1~t13) values ​​corresponding to different events in the above-mentioned fourth type of preset events can be the same or different, the thirtieth threshold values ​​corresponding to different events can be the same or different, and the W (i.e., third time) values ​​corresponding to different events can be the same or different.

[0135] It should be noted that any of the above fourth type of preset events can be used in combination with TTT (ie, TTT constraint behavior is considered when predicting measurement results) or used independently of TTT (ie, TTT constraint behavior is not considered when predicting measurement results).

[0136] The 30th threshold value may be equal to or different from the value of the 29th threshold value mentioned above. For example, the 30th threshold value may be greater than or equal to the 29th threshold value.

[0137] The second time may include one or more of the aforementioned t1 to t13. The values ​​of t1 to t13 may be the same or different based on usage scenarios and usage requirements, and this application does not limit this.

[0138] Any of the above-mentioned first preset events can be used for the measurement processes related to the above-mentioned traditional handover, conditional handover, layer 1 / layer 2 triggered mobility (L1 / L2-triggered mobility, LTM) handover or dual active protocol stack (DAPs) handover.

[0139] The various parameters associated with the first prediction value mentioned above, such as K1, K2, K3, K4, K, Q, the first threshold to the thirtieth threshold, the first time, the second time, the first offset, the second offset, the first reference point, the second reference point, the first absolute moment, the periodic measurement reporting timer and the time threshold W (ie, the third time), etc., can be configured in one or more of the following ways: protocol predefined method, system broadcast message configuration method and dedicated signaling configuration method.

[0140] The configuration granularity of the parameters associated with the first prediction value may include one or more of the following: frequency range (FR) granularity, carrier granularity, frequency band granularity, frequency band combination granularity, device type granularity, cell granularity, etc.

[0141] Taking the K1 value associated with the first predicted value as an example, different configuration granularities are explained. For example, when the configuration granularity is the frequency range granularity, the K1 value can be defined for FR1, FR2-1, and FR2-2 respectively. For another example, when the configuration granularity is the carrier granularity range, the K1 value can be defined according to different component carriers (CC) or carrier combinations. For another example, when the configuration granularity is the frequency band granularity, the K1 value can be defined according to different frequency bands, and when the configuration granularity is the frequency band combination granularity, the K1 value can be defined according to different frequency band combinations. For another example, when the configuration granularity is the device type granularity, the K1 value can be defined according to different terminal device types, terminal device type combinations, network device types, or network device type combinations. For another example, when the configuration granularity is the cell granularity, the K1 value can be defined according to different cells or different cell combinations, where the cell can be identified by a {frequency point, PCI} combination, an index, or a cell global identity (CGI).

[0142] Depending on the specific scenario, each parameter can select a different configuration granularity to improve the prediction performance of the measurement results in different scenarios. The configuration granularity of multiple parameters associated with the first prediction value can be the same or different, and this application does not limit this.

[0143] In some embodiments, the first information may also be used to indicate a measurement value of the first cell to improve the accuracy of the cell handover decision result. For example, the measurement value of the first cell may include a cell-level measurement value and / or a beam-level measurement value. For another example, the measurement value of the first cell may include one or more of a current measurement value and a measurement value at one or more past moments.

[0144] When the first information includes both the measurement value of the first cell and the predicted value of the first cell, it is necessary to distinguish the first predicted value and the measurement value of the first cell. For example, the measurement value of the first cell and the first predicted value can be indicated respectively by different information fields of the first information. For another example, the measurement value of the first cell and the first predicted value can be indicated by different values ​​of the indication information. As an example, when the indication information takes the value of '1', it can be indicated that the associated measurement result is the predicted value of the first cell, and when the indication information takes the value of '0', it can be indicated that the associated measurement result is the measurement value of the first cell. Alternatively, when the indication information takes the value of '0', it can be indicated that the associated measurement result is the predicted value of the first cell, and when the indication information takes the value of '1', it can be indicated that the associated measurement result is the measurement value of the first cell.

[0145] In some embodiments, the first prediction value may be subjected to physical layer filtering (ie, L1 filtering) and / or high layer filtering (eg, L3 filtering), which helps to improve the accuracy of the first cell measurement value.

[0146] In some embodiments, the measured value and / or predicted value at any moment included in the first information may be associated with absolute time information and / or relative time information, such as an absolute timestamp information and / or a relative timestamp information.

[0147] The absolute timestamp information may be represented by Coordinated Universal Time (UTC) (also known as World Standard Time) or system time information. The system time information may include one or more of a system high frame number, a system frame number, a system subframe number, a system time slot number, and a symbol number.

[0148] The relative timestamp information can be the time interval information relative to the first preset event triggering moment (denoted as T1) or the time interval information relative to a reference moment (denoted as T2). The reference moment can be a default moment, and the reference moment can also be indicated by the first information. For example, the moment corresponding to the cell-level measurement value of the first cell is T1-2, which means that T1 is used as the time reference, and the relative timestamp information value is 2. For another example, the moment corresponding to the cell-level measurement value of the first cell is T1-2, which means that T2 is used as the time reference (assuming T2-T1 is equal to 3), and the relative timestamp information value is 5.

[0149] The above introduces the content associated with the reporting of the first prediction value, and the following will introduce the configuration information associated with the first prediction value.

[0150] In some embodiments, the method shown in FIG4 further includes step S420.

[0151] In step S420, the first device receives second information sent by the second device. Alternatively, the second device sends second information to the first device. The second information may be used to indicate configuration information associated with the first prediction value.

[0152] In some embodiments, the second information may include one or more of the following information: first indication information; one or more physical cell identifiers (PCI) information that supports or allows acquisition of a first prediction value; beam information that supports or allows acquisition of a measurement value; beam information that supports or allows acquisition of a prediction value; second indication information; and configuration information of a first preset event.

[0153] The following will introduce the above information that may be included in the second information respectively.

[0154] First instruction information

[0155] The first indication information may be used to indicate whether the first prediction value is supported or permitted. For example, the first indication information may be associated with one or more of the following information (this association relationship may be referred to as a first association relationship): frequency information; PCI information; measurement target MO information; measurement identification information; measurement reporting configuration information; and configuration information of the first preset event described above.

[0156] As mentioned above, the first prediction value may include a cell-level prediction value and / or a beam-level prediction value. The first indication information may be used to indicate whether the acquisition of the cell-level prediction value and / or the beam-level prediction value is supported or allowed. For example, the first indication information may indicate whether the acquisition of the cell-level prediction value and / or the beam-level prediction value is supported or allowed through different information fields. That is, the first indication information may separately indicate whether the acquisition of the cell-level prediction value is supported or allowed, and separately indicate whether the acquisition of the beam-level prediction value is supported or allowed. For another example, the first indication information may jointly indicate whether the acquisition of the cell-level prediction value and the beam-level prediction value is supported or allowed through one information field. That is, the first indication information may indicate whether the acquisition of the cell-level prediction value and the beam-level prediction value is supported or allowed, or indicate that the acquisition of the cell-level prediction value and the beam-level prediction value is not supported or allowed.

[0157] The following uses the example of the first indication information indicating whether to support or allow obtaining the cell-level prediction value and / or beam-level prediction value through different information fields to illustrate the situation when the first indication information is associated with different information.

[0158] If the first indication information is associated with the frequency information, when the first information field contained in the first indication information indicates that the cell-level prediction value of the associated frequency is allowed, and the second information field contained in the first indication information indicates that the beam-level prediction value of the associated frequency is not allowed, the first device can perform cell-level prediction of the associated frequency (such as inferring the cell-level prediction value at the current moment based on the beam measurement results measured over a period of time in the past), but the first device is not allowed to perform beam-level prediction for it (such as not allowing the prediction value of the remaining beams to be inferred based on the measurement values ​​of some beams).

[0159] If the first indication information is associated with the PCI information, when the first information field contained in the first indication information indicates that the cell-level prediction value of the associated PCI or cell is allowed to be obtained, and the second information field contained in the first indication information indicates that the beam-level prediction value of the associated PCI or cell is not allowed to be obtained, the first device can perform cell-level prediction of the associated PCI or cell (such as inferring the cell-level prediction value at the current moment based on the beam measurement results measured over a period of time in the past), but the first device is not allowed to perform beam-level prediction on it (such as not allowing the prediction value of the remaining beams to be inferred based on the measurement values ​​of some beams).

[0160] If the first indication information is associated with the measurement identifier information, when the first information field contained in the first indication information indicates that the cell-level prediction value of the frequency point associated with the measurement identifier is allowed, and the second information field contained in the first indication information indicates that the beam-level prediction value of the frequency point associated with the measurement identifier is not allowed, the first device can perform cell-level prediction on the frequency point associated with the measurement identifier (such as inferring the cell-level prediction value at the current moment based on the beam measurement results measured over a period of time in the past), but the first device is not allowed to perform beam-level prediction on it (such as not allowing to infer the prediction value of the remaining beams based on the measurement values ​​of some beams).

[0161] If the first indication information is associated with the measurement reporting configuration information, when the first information field contained in the first indication information indicates that the cell-level prediction value of the associated frequency point configured for measurement reporting is allowed, and the second information field contained in the first indication information indicates that the beam-level prediction value of the associated frequency point configured for measurement reporting is not allowed, the first device can perform cell-level prediction of the associated frequency point configured for measurement reporting (such as inferring the cell-level prediction value at the current moment based on the beam measurement results measured over a period of time in the past), but the first device is not allowed to perform beam-level prediction for it (such as not allowing the prediction value of the remaining beams to be inferred based on the measurement values ​​of some beams).

[0162] If the first indication information is associated with the configuration information of the first preset event, when the first information field contained in the first indication information indicates that the cell-level prediction value of the configured associated frequency point of the first preset event is allowed to be obtained, and the second information field contained in the first indication information indicates that the beam-level prediction value of the configured associated frequency point of the first preset event is not allowed to be obtained, the first device can perform cell-level prediction of the configured associated frequency point of the first preset event (such as inferring the cell-level prediction value at the current moment according to the beam measurement results measured over a period of time in the past), but the first device is not allowed to perform beam-level prediction for it (such as not allowing to infer the prediction value of the remaining beams based on the measurement values ​​of some beams).

[0163] The first association relationship may be a one-to-one association relationship or a one-to-many association relationship.

[0164] For example, when the first indication information is associated with frequency information, the first association relationship is a one-to-one association relationship or a one-to-many association relationship, which may refer to one first indication information being associated with one frequency information or one first indication information being associated with a group of frequency information. In this case, the first indication information may be used to indicate whether the corresponding associated frequency or group of frequencies supports or allows obtaining a cell-level prediction value and / or a beam-level prediction value.

[0165] For another example, when the first indication information is associated with PCI information, the first association relationship is a one-to-one association relationship or a one-to-many association relationship, which may refer to one first indication information being associated with one PCI information or one first indication information being associated with a group of PCI information. In this case, the first indication information may be used to indicate whether the corresponding associated one or a group of PCIs (or one or a group of cells) supports or allows acquisition of cell-level prediction values ​​and / or beam-level prediction values.

[0166] For another example, when the first indication information is associated with measurement target information, the first association relationship is a one-to-one association relationship or a one-to-many association relationship, which may refer to one piece of first indication information being associated with one piece of measurement target information or one piece of first indication information being associated with a group of measurement target information. In this case, the first indication information may be used to indicate whether the corresponding associated measurement target or group of measurement targets supports or allows acquisition of a cell-level prediction value and / or a beam-level prediction value.

[0167] A measurement target configuration may include frequency point information to be measured. In some other embodiments, a measurement target configuration may also include one or more PCI information associated with the frequency point to be measured.

[0168] For another example, when the first indication information is associated with measurement identifier information, the first association relationship is a one-to-one association relationship or a one-to-many association relationship, which may refer to one first indication information being associated with one measurement identifier information or one first indication information being associated with a group of measurement identifier information. In this case, the first indication information may be used to indicate whether the corresponding associated measurement identifier or group of measurement identifiers supports or allows acquisition of cell-level prediction values ​​and / or beam-level prediction values. One piece of measurement identifier information may be associated with one piece of measurement target configuration information and one piece of measurement reporting configuration information.

[0169] For another example, when the first indication information is associated with measurement reporting configuration information, the first association relationship is a one-to-one association relationship or a one-to-many association relationship, which may refer to one first indication information being associated with one measurement reporting configuration information or one first indication information being associated with a group of measurement reporting configuration information. In this case, the first indication information may be used to indicate whether the corresponding associated one or a group of measurement reporting configurations supports or allows the acquisition of cell-level prediction values ​​and / or beam-level prediction values. The one measurement reporting configuration information may include at least configuration information of the first preset event.

[0170] For another example, when the first indication information is associated with the configuration information of the first preset event, the first association relationship is a one-to-one association relationship or a one-to-many association relationship, which may refer to one first indication information being associated with the configuration information of the first preset event or one first indication information being associated with the configuration information of a group of first preset events. At this time, the first indication information can be used to indicate whether the configuration of the corresponding associated one or a group of first preset events supports or allows the acquisition of a cell-level prediction value and / or a beam-level prediction value.

[0171] In some embodiments, the first indication information field is only defined in the measurement target information or only defined in the measurement reporting configuration information, that is, the first indication information parameter is not defined in the above two configuration information at the same time.

[0172] In other embodiments, the first indication information parameter is defined in both the measurement target information and the measurement reporting configuration information. One measurement target information or one measurement reporting configuration information may be associated with different measurement identifier information. By configuring the first indication information associated with the measurement target information and the first indication information associated with the measurement reporting information differently, different measurement strategies can be formulated for different measurement identifiers, thereby improving measurement flexibility.

[0173] For example, if one of the first indication information associated with the measurement target information and the first indication information associated with the measurement reporting information is set to not allowed, then cell-level prediction and / or beam-level prediction for the corresponding frequency point or cell is not allowed.

[0174] As an example, if the first indication information contained in a measurement target is set to allow, but the first indication information contained in a measurement reporting configuration associated with the measurement target is set to not allow, cell-level prediction and / or beam-level prediction for the corresponding frequency point or cell is not allowed.

[0175] As an example, if the first indication information contained in a measurement target is set to not allowed, but the first indication information contained in a measurement reporting configuration associated with the measurement target is set to allowed, cell-level prediction and / or beam-level prediction for the corresponding frequency point or cell is not allowed.

[0176] As an example, if the first indication information contained in a measurement target is set to not configured (i.e., the parameter does not appear), but the first indication information contained in a measurement reporting configuration associated with the measurement target is set to not allowed, then cell-level prediction and / or beam-level prediction for the corresponding frequency point or cell is not allowed.

[0177] As an example, if the first indication information contained in a measurement target is set to not allowed, but the first indication information contained in a measurement reporting configuration associated with the measurement target is set to not configured, cell-level prediction and / or beam-level prediction for the corresponding frequency point or cell is not allowed.

[0178] For example, if one of the first indication information associated with the measurement target information and the first indication information associated with the measurement reporting information is set to unconfigured, then whether cell-level prediction and / or beam-level prediction for the corresponding frequency point or cell is allowed is determined based on the other first indication information.

[0179] As an example, if the first indication information contained in a measurement target is set to not configured, but the first indication information contained in a measurement reporting configuration associated with the measurement target is set to allowed, cell-level prediction and / or beam-level prediction of the corresponding frequency point or cell is allowed.

[0180] As an example, if the first indication information contained in a measurement target is set to allowed, but the first indication information contained in a measurement reporting configuration associated with the measurement target is set to not configured, cell-level prediction and / or beam-level prediction of the corresponding frequency point or cell is allowed.

[0181] For example, if the first indication information associated with the measurement target information and the first indication information associated with the measurement reporting information are both set to not allowed or not configured, then cell-level prediction and / or beam-level prediction for the corresponding frequency point or cell is not allowed.

[0182] For example, if the first indication information associated with the measurement target information and the first indication information associated with the measurement reporting information are both set to allow, then cell-level prediction and / or beam-level prediction of the corresponding frequency point or cell is allowed.

[0183] PCI Information

[0184] As mentioned above, the first indication information can be associated with the PCI information to indicate whether the cell associated with the PCI information supports obtaining the first predicted value. In other words, the PCI information associated with the first indication information needs to be used in conjunction with the first indication information to determine whether the cell associated with the PCI information supports obtaining the first predicted value.

[0185] To facilitate implementation, the second information may include one or more PCI information that supports or allows the acquisition of the first prediction value to indicate that one or more PCI-associated cells support or allow the acquisition of the first prediction value. The PCI information is usually configured according to the frequency granularity.

[0186] Beam information

[0187] In some embodiments, the second information may include beam information that supports or allows acquisition of measurement values ​​and / or beam information that supports or allows acquisition of predicted values. The beam information may include beam identification information or beam pattern information. Beam information is typically configured at a frequency granularity or a cell granularity (e.g., a cell is identified by frequency and PCI information).

[0188] The beam pattern information can be used to indicate which beams can be actually measured. For example, the beam pattern information can be a bit string. The bit string can include multiple bits, and each bit can be used to indicate whether one or a group of beams can be actually measured. As an example, different values ​​of the bits can be used to indicate whether one or a group of beams can be actually measured. For example, a value of "0" can indicate that the corresponding beam or beam group cannot be actually measured, and a value of "1" can indicate that the corresponding beam or beam group can be actually measured. Of course, the meaning of the values ​​may also be opposite, and this application does not limit this.

[0189] The beam pattern information can be used to indicate which beams need to be predicted. For example, the beam pattern information can be a bit string. The bit string can include multiple bits, and each bit can be used to indicate whether one or a group of beams needs to be predicted. As an example, different bit values ​​can be used to indicate whether one or a group of beams needs to be predicted. For example, a value of "0" can indicate that the corresponding beam or beam group does not need to be predicted, and a value of "1" can indicate that the corresponding beam or beam group needs to be predicted. Of course, the meaning of the values ​​may also be opposite, and this application does not limit this.

[0190] The beam information that supports or allows the acquisition of measurement values ​​and the beam information that supports or allows the acquisition of prediction values ​​can be used in conjunction with each other, or can be jointly indicated. For example, beam pattern information, such as a bit string, can indicate which beams can be actually measured and which beams need to be predicted. The bit string can include multiple bits, and each bit can be used to indicate whether one or a group of beams can be actually measured and whether they need to be predicted. As an example, different values ​​of the bit can be used to indicate whether one or a group of beams can be actually measured and whether they need to be predicted. For example, a value of "0" can indicate that the corresponding beam or beam group needs to be predicted, and a value of "1" can indicate that the corresponding beam or beam group can be actually measured. Of course, the meaning of the values ​​may also be the opposite, and this application does not limit this.

[0191] By jointly indicating beam information that supports or allows the acquisition of measurement values ​​and beam information that supports or allows the acquisition of prediction values, the first device is helped to obtain the results of all beams of the first cell. The results of all beams mentioned here may include beam measurement values ​​and / or beam prediction values.

[0192] It should be noted that the indication rules of the beam pattern information can be configured through pre-definition. The content of the rules of this application is not limited.

[0193] Performing beam measurement or beam prediction based on the above beam pattern information helps to avoid energy waste caused by scanning all beams to obtain beam measurement values ​​or alleviates the prediction error problem caused by performing beam prediction on all beams.

[0194] Second instruction information

[0195] In some embodiments, the second indication information can be used to indicate the information contained in the first prediction value. In other words, the second indication information can be used to indicate the reporting requirements of the first prediction value. For example, the second indication information can be used to indicate that the first prediction value contains one or more of the following information: a cell-level prediction value when the first preset event is triggered; a cell-level prediction value at one or more past moments recorded when the first preset event is triggered; a cell-level prediction value at one or more future moments when the first preset event is triggered; a beam-level prediction value when the first preset event is triggered; a beam-level prediction value at one or more past moments recorded when the first preset event is triggered; and a beam-level prediction value at one or more future moments when the first preset event is triggered. In some embodiments, the second indication information may include multiple information fields, each information field being used to indicate one or more of the above-mentioned reporting requirement contents, and different information fields indicating different reporting requirements. Optionally, the second indication information is configured according to frequency granularity, cell granularity, or measurement reporting information granularity.

[0196] Configuration information of the first preset event

[0197] In some embodiments, the configuration information of the first preset event may include event identification information and / or event parameter information.

[0198] The event identification information can be used to indicate one or more events corresponding to the first preset event, such as one or more of the first type of preset events, one or more of the second type of preset events, one or more of the third type of preset events, and one or more of the fourth type of preset events described above. For example, the event identification information can be implemented using a choice function, such that the value of each choice function corresponds to an event identification.

[0199] In some embodiments, the above-mentioned event parameter information may include one or more of the following parameters mentioned above: K1, K2, K3, K4, K, Q, the first threshold to the thirtieth threshold, the first time, the second time, the first offset, the second offset, the first reference point, the second reference point, the first absolute moment, the periodic measurement reporting timer and the time threshold W.

[0200] In some embodiments, the first predicted value and / or any one of the measured values ​​mentioned above may be associated with one or more of the following parameters: reference signal received power RSRP; reference signal received quality RSRQ; and signal to interference plus noise ratio SINR.

[0201] In some embodiments, any of the information mentioned above can be carried by any of the following message types, or any of the messages mentioned above can be any of the following messages: NR positioning protocol A (NRPPa) message, long-term evolution positioning protocol (LTE positioning protocol, LPP) message, non-access stratum (NAS) message, radio resource control protocol (RRC) message, media access control control element (MAC CE) message, downlink control information (DCI) message, uplink control information (UCI) message, physical uplink control channel (PUCCH) message, physical uplink shared channel (PUSCH) message, inter-node message, Xn interface message, F1 interface message, E1 interface message, NG interface message, core network service architecture-based message or AI dedicated message.

[0202] In some embodiments, any of the information mentioned above can be carried by any of the following message types, or any of the messages mentioned above can be any of the following messages: unicast message, multicast message or broadcast message. Among them, the source can transmit unicast messages through a unicast channel, and only terminal devices that are allocated corresponding unicast resources can attempt to receive the unicast message. Unicast messages can also be called dedicated signaling. The source can transmit multicast messages through a multicast channel, and terminal devices that are within the coverage of the multicast signal and are group members can attempt to receive the multicast message. When a terminal device joins a group, it will obtain multicast channel-related resources. The source can transmit broadcast messages through a broadcast channel, and any terminal device within the coverage of the broadcast signal can attempt to receive the broadcast message.

[0203] The method embodiment of the present application is described in detail above in conjunction with Figures 1 to 4 . The device embodiment of the present application is described in detail below in conjunction with Figures 5 to 7 . It should be understood that the description of the method embodiment corresponds to the description of the device embodiment. Therefore, for parts not described in detail, reference can be made to the above method embodiment.

[0204] FIG5 is a schematic diagram of a device for wireless communication according to an embodiment of the present application, where the device 500 may be the first device described above.

[0205] 5 , the device 500 may include a sending unit 510 .

[0206] The sending unit 510 is used to send first information to the second device, where the first information is used to indicate a first prediction value of a first cell; wherein the first cell is the current serving cell of the terminal device and / or a neighboring cell of the serving cell.

[0207] As a possible implementation manner, the first prediction value includes a cell-level prediction value and / or a beam-level prediction value.

[0208] As a possible implementation manner, the first prediction value includes one or more of the following information: a prediction value at the current moment; a prediction value at one or more moments in the past; and a prediction value at one or more moments in the future.

[0209] As a possible implementation method, the cell-level prediction value of the first cell at the first moment is determined based on one or more of the following information: the cell-level measurement value and / or cell-level prediction value of the first cell at the past K1 moments compared with the first moment; the measurement value and / or prediction value of part of the beam of the first cell at the past K1 moments compared with the first moment; and the measurement value and / or prediction value of part of the beam of the first cell at the first moment; wherein K1 is a natural number greater than or equal to 1.

[0210] As a possible implementation method, the beam-level prediction value of the first cell at the first moment is determined based on one or more of the following information: the beam-level measurement value of the first cell at the past K2 moments compared with the first moment; the measurement value and / or prediction value of part of the beam of the first cell at the past K2 moments compared with the first moment; and the measurement value of part of the beam of the first cell at the first moment; wherein K2 is a natural number greater than or equal to 1.

[0211] As a possible implementation manner, the first moment is any one of one or more moments associated with the first prediction value.

[0212] As a possible implementation method, the K1 moments or K2 moments satisfy one or more of the following conditions: the time difference between any two adjacent moments is greater than or equal to a first threshold; the time difference between any two adjacent moments is less than or equal to a second threshold; the time difference between the first moment and the second moment of the K1 moments or the K2 moments is less than or equal to a third threshold; the time difference between the first moment and the second moment of the K1 moments or the K2 moments is greater than or equal to a fourth threshold; the time difference between the first moment and the third moment of the K1 moments or the K2 moments is less than or equal to a fifth threshold; and the time difference between the first moment and the third moment of the K1 moments or the K2 moments is greater than or equal to a sixth threshold; wherein the second moment is the moment farthest from the first moment among the K1 moments or the K2 moments, and the third moment is the moment closest to the first moment among the K1 moments or the K2 moments.

[0213] As a possible implementation method, if the first prediction value of the first cell includes the prediction value of K3 moments in the past when the first preset event is triggered, the K3 moments satisfy one or more of the following conditions: the time difference between any two adjacent moments is greater than or equal to the seventh threshold; the time difference between any two adjacent moments is less than or equal to the eighth threshold; the time difference between the first preset event triggering moment and the fourth moment of the K3 moments is less than or equal to the ninth threshold; the time difference between the first preset event triggering moment and the fourth moment of the K3 moments is greater than or equal to the tenth threshold; the time difference between the first preset event triggering moment and the fifth moment of the K3 moments is less than or equal to the eleventh threshold; and the time difference between the first preset event triggering moment and the fifth moment of the K3 moments is greater than or equal to the twelfth threshold; wherein the fourth moment is the moment farthest from the first preset event triggering moment among the K3 moments, the fifth moment is the moment closest to the first preset event triggering moment among the K3 moments, and K3 is a natural number greater than or equal to 1.

[0214] As a possible implementation method, if the first prediction value of the first cell includes the prediction value of K4 moments in the future when the first preset event is triggered, the K4 moments meet one or more of the following conditions: the time difference between any two adjacent moments is greater than or equal to the thirteenth threshold; the time difference between any two adjacent moments is less than or equal to the fourteenth threshold; the time difference between the first preset event triggering moment and the sixth moment among the K4 moments is less than or equal to the fifteenth threshold; the time difference between the first preset event triggering moment and the sixth moment among the K4 moments is greater than or equal to the sixteenth threshold; the time difference between the first preset event triggering moment and the seventh moment among the K4 moments is less than or equal to the seventeenth threshold; and the time difference between the first preset event triggering moment and the seventh moment among the K4 moments is greater than or equal to the eighteenth threshold; wherein the sixth moment is the moment among the K4 moments that is farthest away from the first preset event triggering moment, the seventh moment is the moment among the K4 moments that is closest to the first preset event triggering moment, and K4 is a natural number greater than or equal to 1.

[0215] As a possible implementation, the first prediction value is associated with the triggering moment of a first preset event, the first preset event includes a first type of preset event, and the first type of preset event includes one or more of the following events: the measurement value of the serving cell is greater than or equal to the nineteenth threshold; the measurement value of the serving cell is less than or equal to the twentieth threshold; the difference between the measurement value of the neighboring cell and the measurement value of the primary cell or the primary and secondary cells is greater than or equal to the first offset; the measurement value of the neighboring cell is greater than or equal to the twenty-first threshold; the measurement value of the primary cell or the primary and secondary cells is less than the twenty-second threshold, and the measurement value of the neighboring cell or the secondary cell is greater than the twenty-third threshold; the measurement value of the neighboring cell is greater than or equal to the twenty-first threshold; The difference between the value and the measurement value of the secondary cell is greater than or equal to the second offset; the distance between the terminal device and the first reference point is greater than or equal to the twenty-fourth threshold; the distance between the terminal device and the second reference point is less than or equal to the twenty-fifth threshold; the measurement value of the neighboring cell is greater than or equal to the twenty-sixth threshold, and the neighboring cell and the serving cell are based on different wireless access technologies; the measurement value of the primary cell is less than the twenty-seventh threshold, and the measurement value of the neighboring cell is greater than the twenty-eighth threshold, wherein the neighboring cell and the serving cell are based on different wireless access technologies; the periodic measurement reporting timer times out; the first absolute moment is reached; and a first time has passed since the successful receipt of the measurement configuration.

[0216] As a possible implementation manner, the first preset event includes a second type of preset event, and the second type of preset event includes the first type of preset event that is expected to occur within a second time.

[0217] As a possible implementation method, the first preset event includes a third type of preset event, the third type of preset event includes the first type of preset event is expected to occur within the second time, and the measurement value of the service cell is less than or equal to the twenty-ninth threshold.

[0218] As a possible implementation method, the first preset event includes a fourth type of preset event, and the fourth type of preset event includes that the first type of preset event is expected to occur within the second time, and the measurement value of the service cell is less than or equal to the thirtieth threshold and lasts for a third time.

[0219] As a possible implementation manner, the first information is also used to indicate a measurement value of the first cell.

[0220] As a possible implementation manner, the first information is associated with absolute time information and / or relative time information.

[0221] As a possible implementation manner, the configuration granularity of the parameters associated with the first prediction value is one or more of the following: frequency range granularity; carrier granularity; frequency band granularity; frequency band combination granularity; device type granularity; and cell granularity.

[0222] As a possible implementation manner, the device further includes: a receiving unit, configured to receive second information sent by the second device, where the second information is used to indicate configuration information associated with the first prediction value.

[0223] As a possible implementation method, the second information includes one or more of the following information: first indication information; one or more physical cell identifier PCI information that supports or allows acquisition of the first prediction value; beam information that supports or allows acquisition of the measurement value; beam information that supports or allows acquisition of the prediction value; second indication information; and configuration information of the first preset event; wherein the first indication information is used to indicate whether the acquisition of the first prediction value is supported or allowed, and the second indication information is used to indicate the reporting requirement of the first prediction value.

[0224] As a possible implementation manner, the first indication information is associated with one or more of the following information: frequency information; PCI information; measurement target information; measurement identification information; measurement reporting configuration information; and configuration information of the first preset event.

[0225] As a possible implementation manner, the configuration information of the first preset event includes event identification information and / or event parameter information.

[0226] As a possible implementation manner, the first predicted value and / or measured value is associated with one or more of the following parameters: reference signal received power RSRP; reference signal received quality RSRQ; and signal to interference plus noise ratio SINR.

[0227] As a possible implementation manner, the first device is a terminal device or a network device.

[0228] FIG6 is a schematic diagram of another device for wireless communication according to an embodiment of the present application. The device 600 may be the second device described above.

[0229] 6 , a device 600 may include a sending unit 610 .

[0230] The receiving unit 610 is used to receive first information sent by a first device, where the first information is used to indicate a first prediction value of a first cell; wherein the first cell is the current serving cell of the terminal device and / or a neighboring cell of the serving cell.

[0231] As a possible implementation manner, the first prediction value includes a cell-level prediction value and / or a beam-level prediction value.

[0232] As a possible implementation manner, the first prediction value includes one or more of the following information: a prediction value at the current moment; a prediction value at one or more moments in the past; and a prediction value at one or more moments in the future.

[0233] As a possible implementation method, the cell-level prediction value of the first cell at the first moment is determined based on one or more of the following information: the cell-level measurement value and / or cell-level prediction value of the first cell at the past K1 moments compared with the first moment; the measurement value and / or prediction value of part of the beam of the first cell at the past K1 moments compared with the first moment; and the measurement value and / or prediction value of part of the beam of the first cell at the first moment; wherein K1 is a natural number greater than or equal to 1.

[0234] As a possible implementation method, the beam-level prediction value of the first cell at the first moment is determined based on one or more of the following information: the beam-level measurement value of the first cell at the past K2 moments compared with the first moment; the measurement value and / or prediction value of part of the beam of the first cell at the past K2 moments compared with the first moment; and the measurement value of part of the beam of the first cell at the first moment; wherein K2 is a natural number greater than or equal to 1.

[0235] As a possible implementation manner, the first moment is any one of one or more moments associated with the first prediction value.

[0236] As a possible implementation method, the K1 moments or K2 moments satisfy one or more of the following conditions: the time difference between any two adjacent moments is greater than or equal to a first threshold; the time difference between any two adjacent moments is less than or equal to a second threshold; the time difference between the first moment and the second moment of the K1 moments or the K2 moments is less than or equal to a third threshold; the time difference between the first moment and the second moment of the K1 moments or the K2 moments is greater than or equal to a fourth threshold; the time difference between the first moment and the third moment of the K1 moments or the K2 moments is less than or equal to a fifth threshold; and the time difference between the first moment and the third moment of the K1 moments or the K2 moments is greater than or equal to a sixth threshold; wherein the second moment is the moment farthest from the first moment among the K1 moments or the K2 moments, and the third moment is the moment closest to the first moment among the K1 moments or the K2 moments.

[0237] As a possible implementation method, if the first prediction value of the first cell includes the prediction value of K3 moments in the past when the first preset event is triggered, the K3 moments satisfy one or more of the following conditions: the time difference between any two adjacent moments is greater than or equal to the seventh threshold; the time difference between any two adjacent moments is less than or equal to the eighth threshold; the time difference between the first preset event triggering moment and the fourth moment of the K3 moments is less than or equal to the ninth threshold; the time difference between the first preset event triggering moment and the fourth moment of the K3 moments is greater than or equal to the tenth threshold; the time difference between the first preset event triggering moment and the fifth moment of the K3 moments is less than or equal to the eleventh threshold; and the time difference between the first preset event triggering moment and the fifth moment of the K3 moments is greater than or equal to the twelfth threshold; wherein the fourth moment is the moment farthest from the first preset event triggering moment among the K3 moments, the fifth moment is the moment closest to the first preset event triggering moment among the K3 moments, and K3 is a natural number greater than or equal to 1.

[0238] As a possible implementation method, if the first prediction value of the first cell includes the prediction value of K4 moments in the future when the first preset event is triggered, the K4 moments meet one or more of the following conditions: the time difference between any two adjacent moments is greater than or equal to the thirteenth threshold; the time difference between any two adjacent moments is less than or equal to the fourteenth threshold; the time difference between the first preset event triggering moment and the sixth moment among the K4 moments is less than or equal to the fifteenth threshold; the time difference between the first preset event triggering moment and the sixth moment among the K4 moments is greater than or equal to the sixteenth threshold; the time difference between the first preset event triggering moment and the seventh moment among the K4 moments is less than or equal to the seventeenth threshold; and the time difference between the first preset event triggering moment and the seventh moment among the K4 moments is greater than or equal to the eighteenth threshold; wherein the sixth moment is the moment among the K4 moments that is farthest away from the first preset event triggering moment, the seventh moment is the moment among the K4 moments that is closest to the first preset event triggering moment, and K4 is a natural number greater than or equal to 1.

[0239] As a possible implementation, the first prediction value is associated with the triggering moment of a first preset event, the first preset event includes a first type of preset event, and the first type of preset event includes one or more of the following events: the measurement value of the serving cell is greater than or equal to the nineteenth threshold; the measurement value of the serving cell is less than or equal to the twentieth threshold; the difference between the measurement value of the neighboring cell and the measurement value of the primary cell or the primary and secondary cells is greater than or equal to the first offset; the measurement value of the neighboring cell is greater than or equal to the twenty-first threshold; the measurement value of the primary cell or the primary and secondary cells is less than the twenty-second threshold, and the measurement value of the neighboring cell or the secondary cell is greater than the twenty-third threshold; the measurement value of the neighboring cell is greater than or equal to the twenty-first threshold; The difference between the value and the measurement value of the secondary cell is greater than or equal to the second offset; the distance between the terminal device and the first reference point is greater than or equal to the twenty-fourth threshold; the distance between the terminal device and the second reference point is less than or equal to the twenty-fifth threshold; the measurement value of the neighboring cell is greater than or equal to the twenty-sixth threshold, and the neighboring cell and the serving cell are based on different wireless access technologies; the measurement value of the primary cell is less than the twenty-seventh threshold, and the measurement value of the neighboring cell is greater than the twenty-eighth threshold, wherein the neighboring cell and the serving cell are based on different wireless access technologies; the periodic measurement reporting timer times out; the first absolute moment is reached; and a first time has passed since the successful receipt of the measurement configuration.

[0240] As a possible implementation manner, the first preset event includes a second type of preset event, and the second type of preset event includes the first type of preset event that is expected to occur within a second time.

[0241] As a possible implementation method, the first preset event includes a third type of preset event, the third type of preset event includes the first type of preset event is expected to occur within the second time, and the measurement value of the service cell is less than or equal to the twenty-ninth threshold.

[0242] As a possible implementation method, the first preset event includes a fourth type of preset event, and the fourth type of preset event includes that the first type of preset event is expected to occur within the second time, and the measurement value of the service cell is less than or equal to the thirtieth threshold and lasts for a third time.

[0243] As a possible implementation manner, the first information is also used to indicate a measurement value of the first cell.

[0244] As a possible implementation manner, the first information is associated with absolute time information and / or relative time information.

[0245] As a possible implementation manner, the configuration granularity of the parameters associated with the first prediction value is one or more of the following: frequency range granularity; carrier granularity; frequency band granularity; frequency band combination granularity; device type granularity; and cell granularity.

[0246] As a possible implementation manner, the device further includes: a sending unit, configured to send second information to the first device, where the second information is used to indicate configuration information associated with the first prediction value.

[0247] As a possible implementation method, the second information includes one or more of the following information: first indication information; one or more physical cell identifier PCI information that supports or allows acquisition of the first prediction value; beam information that supports or allows acquisition of the measurement value; beam information that supports or allows acquisition of the prediction value; second indication information; and configuration information of the first preset event; wherein the first indication information is used to indicate whether the acquisition of the first prediction value is supported or allowed, and the second indication information is used to indicate the reporting requirement of the first prediction value.

[0248] As a possible implementation manner, the first indication information is associated with one or more of the following information: frequency information; PCI information; measurement target information; measurement identification information; measurement reporting configuration information; and configuration information of the first preset event.

[0249] As a possible implementation manner, the configuration information of the first preset event includes event identification information and / or event parameter information.

[0250] As a possible implementation manner, the first predicted value and / or measured value is associated with one or more of the following parameters: reference signal received power RSRP; reference signal received quality RSRQ; and signal to interference plus noise ratio SINR.

[0251] As a possible implementation manner, the second device is a terminal device or a network device.

[0252] FIG7 is a schematic block diagram of a communication device according to an embodiment of the present application. The dashed lines in FIG7 indicate that the unit or module is optional. The device 700 may be used to implement the method described in the above method embodiment. The device 700 may be a chip, a first device, or a second device.

[0253] The device 700 may include one or more processors 710. The processor 710 may support the device 700 to implement the method described in the method embodiment above. The processor 710 may be a general-purpose processor or a special-purpose processor. For example, the processor may be a central processing unit (CPU). Alternatively, the processor may be another general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0254] The apparatus 700 may further include one or more memories 720. The memories 720 store programs that can be executed by the processor 710, causing the processor 710 to perform the methods described in the above method embodiments. The memories 720 may be independent of the processor 710 or integrated into the processor 710.

[0255] The apparatus 700 may further include a transceiver 730. The processor 710 may communicate with other devices or chips via the transceiver 730. For example, the processor 710 may transmit and receive data with other devices or chips via the transceiver 730.

[0256] The present invention also provides a computer-readable storage medium for storing a program. The computer-readable storage medium can be applied to the first device or the second device provided in the present invention, and the program causes a computer to execute the method performed by the device for wireless communication in each embodiment of the present invention.

[0257] The present application also provides a computer program product. The computer program product includes a program. The computer program product can be applied to the first device or the second device provided in the present application, and the program causes a computer to execute the method performed by the device for wireless communication in each embodiment of the present application.

[0258] The embodiments of the present application also provide a computer program. The computer program can be applied to the wireless communication device provided in the embodiments of the present application, and the computer program enables a computer to execute the method performed by the wireless communication device in each embodiment of the present application.

[0259] It should be understood that the terms "system" and "network" in this application can be used interchangeably. In addition, the terms used in this application are only used to explain the specific embodiments of this application and are not intended to limit this application. The terms "first", "second", "third", and "fourth" in the specification and claims of this application and the accompanying drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions.

[0260] In the embodiments of this application, the term "indication" may refer to a direct indication, an indirect indication, or an indication of an association. For example, "A indicates B" may refer to a direct indication of B, e.g., B can obtain information through A; it may refer to an indirect indication of B, e.g., A indicates C, e.g., B can obtain information through C; or it may refer to an association between A and B.

[0261] In the embodiment of the present application, "B corresponding to A" means that B is associated with A and B can be determined based on A. However, it should be understood that determining B based on A does not mean determining B based solely on A, but B can also be determined based on A and / or other information.

[0262] In the embodiments of the present application, the term "corresponding" may indicate a direct or indirect correspondence between the two, or an association relationship between the two, or a relationship between indication and indication, configuration and configuration, etc.

[0263] In the embodiments of the present application, "pre-definition" or "pre-configuration" may be implemented by pre-storing corresponding codes, tables, or other methods that can be used to indicate relevant information in a device (e.g., a terminal device and a network device). The present application does not limit the specific implementation method. For example, pre-definition may refer to information defined in a protocol.

[0264] In the embodiments of the present application, the “protocol” may refer to a standard protocol in the communications field, for example, it may include an LTE protocol, an NR protocol, and related protocols used in future communication systems, and the present application does not limit this.

[0265] In the embodiments of this application, the term "and / or" is simply a description of the association relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this document generally indicates that the related objects are in an "or" relationship.

[0266] In various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0267] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0268] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0269] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0270] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be read by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a digital versatile disc (DVD)), or a semiconductor medium (eg, a solid state disk (SSD)).

[0271] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A method for wireless communication, characterized in that: include: The first device sends first information to the second device, where the first information is used to indicate a first prediction value of a first cell; wherein the first cell is a current serving cell of the terminal device and / or a neighboring cell of the serving cell.

2. The method according to claim 1, characterized in that The first prediction value includes a cell-level prediction value and / or a beam-level prediction value.

3. The method according to claim 2, characterized in that The first prediction value includes one or more of the following information: The predicted value at the current moment; Predicted values ​​for one or more past moments; and The predicted value at one or more future times.

4. The method according to claim 2 or 3, characterized in that: The cell-level prediction value of the first cell at the first moment is determined based on one or more of the following information: cell-level measurement values ​​and / or cell-level prediction values ​​of the first cell at K1 moments in the past compared to the first moment; measured values ​​of some beams of the first cell and / or predicted values ​​of some beams at past K1 moments compared with the first moment; as well as measured values ​​of some beams of the first cell at the first moment and / or predicted values ​​of some beams; Wherein, K1 is a natural number greater than or equal to 1.

5. The method according to any one of claims 2 to 4, characterized in that: The beam-level prediction value of the first cell at a first moment is determined based on one or more of the following information: beam level measurement values ​​of the first cell at the past K2 moments compared to the first moment; measured values ​​of some beams of the first cell and / or predicted values ​​of some beams at past K2 moments compared with the first moment; as well as The measurement values ​​of some beams of the first cell at the first moment; Wherein, K2 is a natural number greater than or equal to 1.

6. The method according to claim 4 or 5, characterized in that: The first moment is any one of the one or more moments associated with the first prediction value.

7. The method according to any one of claims 4 to 6, characterized in that: K1 or K2 moments meet one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the first threshold; The time difference between any two adjacent moments is less than or equal to the second threshold; A time difference between the first moment and a second moment among the K1 moments or the K2 moments is less than or equal to a third threshold; A time difference between the first moment and a second moment among the K1 moments or the K2 moments is greater than or equal to a fourth threshold; A time difference between the first moment and a third moment among the K1 moments or the K2 moments is less than or equal to a fifth threshold; as well as A time difference between the first moment and a third moment among the K1 moments or the K2 moments is greater than or equal to a sixth threshold; The second moment is the moment farthest from the first moment among the K1 moments or the K2 moments, and the third moment is the moment closest to the first moment among the K1 moments or the K2 moments.

8. The method according to any one of claims 1 to 7, characterized in that If the first prediction value of the first cell includes the prediction value of K3 past moments when the first preset event is triggered, the K3 moments satisfy one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the seventh threshold; The time difference between any two adjacent moments is less than or equal to the eighth threshold; The time difference between the first preset event triggering moment and the fourth moment among the K3 moments is less than or equal to a ninth threshold; The time difference between the first preset event triggering moment and the fourth moment among the K3 moments is greater than or equal to the tenth threshold; The time difference between the first preset event triggering moment and the fifth moment among the K3 moments is less than or equal to the eleventh threshold; as well as The time difference between the first preset event triggering moment and the fifth moment among the K3 moments is greater than or equal to a twelfth threshold; Among them, the fourth moment is the moment farthest from the first preset event triggering moment among the K3 moments, the fifth moment is the moment closest to the first preset event triggering moment among the K3 moments, and K3 is a natural number greater than or equal to 1.

9. The method according to any one of claims 1 to 8, characterized in that If the first prediction value of the first cell includes the prediction value of K4 future moments when the first preset event is triggered, the K4 moments satisfy one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the thirteenth threshold; The time difference between any two adjacent moments is less than or equal to the fourteenth threshold; The time difference between the first preset event triggering moment and the sixth moment among the K4 moments is less than or equal to the fifteenth threshold; The time difference between the first preset event triggering moment and the sixth moment among the K4 moments is greater than or equal to the sixteenth threshold; The time difference between the first preset event triggering moment and the seventh moment among the K4 moments is less than or equal to the seventeenth threshold; as well as The time difference between the first preset event triggering moment and the seventh moment among the K4 moments is greater than or equal to the eighteenth threshold; Among them, the sixth moment is the moment farthest from the first preset event triggering moment among the K4 moments, the seventh moment is the moment closest to the first preset event triggering moment among the K4 moments, and K4 is a natural number greater than or equal to 1.

10. The method according to any one of claims 1 to 9, characterized in that The first prediction value is associated with a triggering moment of a first preset event, the first preset event includes a first type of preset event, and the first type of preset event includes one or more of the following events: The measurement value of the serving cell is greater than or equal to a nineteenth threshold; The measurement value of the serving cell is less than or equal to a twentieth threshold; The difference between the measurement value of the neighboring cell and the measurement value of the primary cell or the primary and secondary cells is greater than or equal to the first offset; The measurement value of the neighboring cell is greater than or equal to a twenty-first threshold; The measurement value of the primary cell or the primary and secondary cells is less than a twenty-second threshold, and the measurement value of the neighboring cell or the secondary cell is greater than a twenty-third threshold; The difference between the measurement value of the neighboring cell and the measurement value of the secondary cell is greater than or equal to the second offset; The distance between the terminal device and the first reference point is greater than or equal to a twenty-fourth threshold; The distance between the terminal device and the second reference point is less than or equal to the twenty-fifth threshold; The measurement value of the neighboring cell is greater than or equal to a twenty-sixth threshold, and the neighboring cell and the serving cell are based on different radio access technologies; The measurement value of the primary cell is less than a twenty-seventh threshold, and the measurement value of the neighboring cell is greater than a twenty-eighth threshold, wherein the neighboring cell and the serving cell are based on different radio access technologies; The periodic measurement reporting timer times out; Arrival of the first absolute moment; and From the successful receipt of the measurement configuration, the first time has elapsed.

11. The method according to claim 10, characterized in that The first preset event includes a second type of preset event, and the second type of preset event includes the first type of preset event that is expected to occur within a second time.

12. The method according to claim 10 or 11, characterized in that: The first preset event includes a third type of preset event, the third type of preset event includes that the first type of preset event is expected to occur within a second time, and the measurement value of the serving cell is less than or equal to a twenty-ninth threshold.

13. The method according to any one of claims 10 to 12, characterized in that: The first preset event includes a fourth type of preset event, and the fourth type of preset event includes that the first type of preset event is expected to occur within a second time, and the measurement value of the service cell is less than or equal to a thirtieth threshold and lasts for a third time.

14. The method according to any one of claims 1 to 13, characterized in that The first information is also used to indicate a measurement value of the first cell.

15. The method according to any one of claims 1 to 14, characterized in that The first information is associated with absolute time information and / or relative time information.

16. The method according to any one of claims 1 to 15, characterized in that The configuration granularity of the parameter associated with the first prediction value is one or more of the following: Frequency range granularity; Carrier granularity; frequency band granularity; Band combination granularity; Device type granularity; and Cell granularity.

17. The method according to any one of claims 1 to 16, characterized in that The method further comprises: The first device receives second information sent by the second device, where the second information is used to indicate configuration information associated with the first prediction value.

18. The method according to claim 17, characterized in that The second information includes one or more of the following information: First instruction information; Supporting or allowing obtaining one or more physical cell identifiers PCI information of the first prediction value; Support or allow acquisition of beam information of measurement values; Support or allow obtaining beam information of predicted values; Second instruction information; as well as Configuration information of the first preset event; The first indication information is used to indicate whether the acquisition of the first prediction value is supported or allowed, and the second indication information is used to indicate the reporting requirement of the first prediction value.

19. The method according to claim 18, characterized in that The first indication information is associated with one or more of the following information: Frequency information; PCI information; Measuring target information; Measurement identification information; Measurement reporting configuration information; and Configuration information of the first preset event.

20. The method according to claim 18 or 19, characterized in that The configuration information of the first preset event includes event identification information and / or event parameter information.

21. The method according to any one of claims 1 to 20, characterized in that The first predicted value and / or measured value is associated with one or more of the following parameters: Reference signal received power RSRP; Reference signal received quality RSRQ; and Signal to Interference plus Noise Ratio SINR.

22. The method according to any one of claims 1 to 21, characterized in that The first device is a terminal device or a network device.

23. A method for wireless communication, characterized in that: include: The second device receives first information sent by the first device, where the first information is used to indicate a first prediction value of a first cell; wherein the first cell is a current serving cell of the terminal device and / or a neighboring cell of the serving cell.

24. The method according to claim 23, characterized in that The first prediction value includes a cell-level prediction value and / or a beam-level prediction value.

25. The method according to claim 24, characterized in that The first prediction value includes one or more of the following information: The predicted value at the current moment; Predicted values ​​for one or more past moments; and The predicted value at one or more future times.

26. The method according to claim 24 or 25, characterized in that The cell-level prediction value of the first cell at the first moment is determined based on one or more of the following information: cell-level measurement values ​​and / or cell-level prediction values ​​of the first cell at K1 moments in the past compared to the first moment; measured values ​​of some beams of the first cell and / or predicted values ​​of some beams at past K1 moments compared with the first moment; as well as measured values ​​of some beams of the first cell at the first moment and / or predicted values ​​of some beams; Wherein, K1 is a natural number greater than or equal to 1.

27. The method according to any one of claims 24 to 26, characterized in that The beam-level prediction value of the first cell at a first moment is determined based on one or more of the following information: beam level measurement values ​​of the first cell at the past K2 moments compared to the first moment; measured values ​​of some beams of the first cell and / or predicted values ​​of some beams at past K2 moments compared with the first moment; as well as The measurement values ​​of some beams of the first cell at the first moment; Wherein, K2 is a natural number greater than or equal to 1.

28. The method according to claim 26 or 27, characterized in that The first moment is any one of the one or more moments associated with the first prediction value.

29. The method according to any one of claims 26 to 28, characterized in that K1 or K2 moments meet one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the first threshold; The time difference between any two adjacent moments is less than or equal to the second threshold; A time difference between the first moment and a second moment among the K1 moments or the K2 moments is less than or equal to a third threshold; A time difference between the first moment and a second moment among the K1 moments or the K2 moments is greater than or equal to a fourth threshold; A time difference between the first moment and a third moment among the K1 moments or the K2 moments is less than or equal to a fifth threshold; as well as A time difference between the first moment and a third moment among the K1 moments or the K2 moments is greater than or equal to a sixth threshold; The second moment is the moment farthest from the first moment among the K1 moments or the K2 moments, and the third moment is the moment closest to the first moment among the K1 moments or the K2 moments.

30. The method according to any one of claims 23 to 29, characterized in that If the first prediction value of the first cell includes the prediction value of K3 past moments when the first preset event is triggered, the K3 moments satisfy one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the seventh threshold; The time difference between any two adjacent moments is less than or equal to the eighth threshold; The time difference between the first preset event triggering moment and the fourth moment among the K3 moments is less than or equal to a ninth threshold; The time difference between the first preset event triggering moment and the fourth moment among the K3 moments is greater than or equal to the tenth threshold; The time difference between the first preset event triggering moment and the fifth moment among the K3 moments is less than or equal to the eleventh threshold; as well as The time difference between the first preset event triggering moment and the fifth moment among the K3 moments is greater than or equal to a twelfth threshold; Among them, the fourth moment is the moment farthest from the first preset event triggering moment among the K3 moments, the fifth moment is the moment closest to the first preset event triggering moment among the K3 moments, and K3 is a natural number greater than or equal to 1.

31. The method according to any one of claims 23 to 30, characterized in that If the first prediction value of the first cell includes the prediction value of K4 future moments when the first preset event is triggered, the K4 moments satisfy one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the thirteenth threshold; The time difference between any two adjacent moments is less than or equal to the fourteenth threshold; The time difference between the first preset event triggering moment and the sixth moment among the K4 moments is less than or equal to the fifteenth threshold; The time difference between the first preset event triggering moment and the sixth moment among the K4 moments is greater than or equal to the sixteenth threshold; The time difference between the first preset event triggering moment and the seventh moment among the K4 moments is less than or equal to the seventeenth threshold; as well as The time difference between the first preset event triggering moment and the seventh moment among the K4 moments is greater than or equal to the eighteenth threshold; Among them, the sixth moment is the moment farthest from the first preset event triggering moment among the K4 moments, the seventh moment is the moment closest to the first preset event triggering moment among the K4 moments, and K4 is a natural number greater than or equal to 1.

32. The method according to any one of claims 23 to 31, characterized in that The first prediction value is associated with a triggering moment of a first preset event, the first preset event includes a first type of preset event, and the first type of preset event includes one or more of the following events: The measurement value of the serving cell is greater than or equal to a nineteenth threshold; The measurement value of the serving cell is less than or equal to a twentieth threshold; The difference between the measurement value of the neighboring cell and the measurement value of the primary cell or the primary and secondary cells is greater than or equal to the first offset; The measurement value of the neighboring cell is greater than or equal to a twenty-first threshold; The measurement value of the primary cell or the primary and secondary cells is less than a twenty-second threshold, and the measurement value of the neighboring cell or the secondary cell is greater than a twenty-third threshold; The difference between the measurement value of the neighboring cell and the measurement value of the secondary cell is greater than or equal to the second offset; The distance between the terminal device and the first reference point is greater than or equal to a twenty-fourth threshold; The distance between the terminal device and the second reference point is less than or equal to the twenty-fifth threshold; The measurement value of the neighboring cell is greater than or equal to a twenty-sixth threshold, and the neighboring cell and the serving cell are based on different radio access technologies; The measurement value of the primary cell is less than a twenty-seventh threshold, and the measurement value of the neighboring cell is greater than a twenty-eighth threshold, wherein the neighboring cell and the serving cell are based on different radio access technologies; The periodic measurement reporting timer times out; Arrival of the first absolute moment; and From the successful receipt of the measurement configuration, the first time has elapsed.

33. The method according to claim 32, characterized in that The first preset event includes a second type of preset event, and the second type of preset event includes the first type of preset event that is expected to occur within a second time.

34. The method according to claim 32 or 33, characterized in that The first preset event includes a third type of preset event, the third type of preset event includes that the first type of preset event is expected to occur within a second time, and the measurement value of the serving cell is less than or equal to a twenty-ninth threshold.

35. The method according to any one of claims 32 to 34, characterized in that The first preset event includes a fourth type of preset event, and the fourth type of preset event includes that the first type of preset event is expected to occur within a second time, and the measurement value of the service cell is less than or equal to a thirtieth threshold and lasts for a third time.

36. The method according to any one of claims 23 to 35, characterized in that The first information is also used to indicate a measurement value of the first cell.

37. The method according to any one of claims 23 to 36, characterized in that The first information is associated with absolute time information and / or relative time information.

38. The method according to any one of claims 23 to 37, characterized in that The configuration granularity of the parameter associated with the first prediction value is one or more of the following: Frequency range granularity; Carrier granularity; frequency band granularity; Band combination granularity; Device type granularity; and Cell granularity.

39. The method according to any one of claims 23 to 38, characterized in that The method further comprises: The second device sends second information to the first device, where the second information is used to indicate configuration information associated with the first prediction value.

40. The method according to claim 39, characterized in that The second information includes one or more of the following information: First instruction information; Supporting or allowing obtaining one or more physical cell identifiers PCI information of the first prediction value; Support or allow acquisition of beam information of measurement values; Support or allow obtaining beam information of predicted values; Second instruction information; as well as Configuration information of the first preset event; The first indication information is used to indicate whether the acquisition of the first prediction value is supported or allowed, and the second indication information is used to indicate the reporting requirement of the first prediction value.

41. The method according to claim 40, characterized in that The first indication information is associated with one or more of the following information: Frequency information; PCI information; Measuring target information; Measurement identification information; Measurement reporting configuration information; and Configuration information of the first preset event.

42. The method according to claim 40 or 41, characterized in that The configuration information of the first preset event includes event identification information and / or event parameter information.

43. The method according to any one of claims 23 to 42, characterized in that The first predicted value and / or measured value is associated with one or more of the following parameters: Reference signal received power RSRP; Reference signal received quality RSRQ; and Signal to Interference plus Noise Ratio SINR.

44. The method according to any one of claims 23 to 43, characterized in that The second device is a terminal device or a network device.

45. A device for wireless communication, characterized in that: The device is a first device, and the device includes: A sending unit is used to send first information to a second device, where the first information is used to indicate a first prediction value of a first cell; wherein the first cell is a current service cell of the terminal device and / or a neighboring cell of the service cell.

46. ​​The device according to claim 45, characterized in that The first prediction value includes a cell-level prediction value and / or a beam-level prediction value.

47. The device according to claim 46, characterized in that The first prediction value includes one or more of the following information: The predicted value at the current moment; Predicted values ​​for one or more past moments; and The predicted value at one or more future times.

48. Apparatus according to claim 46 or 47, characterised in that The cell-level prediction value of the first cell at the first moment is determined based on one or more of the following information: cell-level measurement values ​​and / or cell-level prediction values ​​of the first cell at K1 moments in the past compared to the first moment; measured values ​​of some beams of the first cell and / or predicted values ​​of some beams at past K1 moments compared with the first moment; as well as measured values ​​of some beams of the first cell at the first moment and / or predicted values ​​of some beams; Wherein, K1 is a natural number greater than or equal to 1.

49. The apparatus according to any one of claims 46 to 48, characterized in that The beam-level prediction value of the first cell at a first moment is determined based on one or more of the following information: beam level measurement values ​​of the first cell at the past K2 moments compared to the first moment; measured values ​​of some beams of the first cell and / or predicted values ​​of some beams at past K2 moments compared with the first moment; as well as The measurement values ​​of some beams of the first cell at the first moment; Wherein, K2 is a natural number greater than or equal to 1.

50. The apparatus according to claim 48 or 49, characterized in that The first moment is any one of the one or more moments associated with the first prediction value.

51. The apparatus according to any one of claims 48 to 50, characterized in that K1 or K2 moments meet one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the first threshold; The time difference between any two adjacent moments is less than or equal to the second threshold; A time difference between the first moment and a second moment among the K1 moments or the K2 moments is less than or equal to a third threshold; A time difference between the first moment and a second moment among the K1 moments or the K2 moments is greater than or equal to a fourth threshold; A time difference between the first moment and a third moment among the K1 moments or the K2 moments is less than or equal to a fifth threshold; as well as A time difference between the first moment and a third moment among the K1 moments or the K2 moments is greater than or equal to a sixth threshold; The second moment is the moment farthest from the first moment among the K1 moments or the K2 moments, and the third moment is the moment closest to the first moment among the K1 moments or the K2 moments.

52. The apparatus according to any one of claims 45 to 51, characterized in that If the first prediction value of the first cell includes the prediction value of K3 past moments when the first preset event is triggered, the K3 moments satisfy one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the seventh threshold; The time difference between any two adjacent moments is less than or equal to the eighth threshold; The time difference between the first preset event triggering moment and the fourth moment among the K3 moments is less than or equal to a ninth threshold; The time difference between the first preset event triggering moment and the fourth moment among the K3 moments is greater than or equal to the tenth threshold; The time difference between the first preset event triggering moment and the fifth moment among the K3 moments is less than or equal to the eleventh threshold; as well as The time difference between the first preset event triggering moment and the fifth moment among the K3 moments is greater than or equal to a twelfth threshold; Among them, the fourth moment is the moment farthest from the first preset event triggering moment among the K3 moments, the fifth moment is the moment closest to the first preset event triggering moment among the K3 moments, and K3 is a natural number greater than or equal to 1.

53. The apparatus according to any one of claims 45 to 52, characterized in that If the first prediction value of the first cell includes the prediction value of K4 future moments when the first preset event is triggered, the K4 moments satisfy one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the thirteenth threshold; The time difference between any two adjacent moments is less than or equal to the fourteenth threshold; The time difference between the first preset event triggering moment and the sixth moment among the K4 moments is less than or equal to the fifteenth threshold; The time difference between the first preset event triggering moment and the sixth moment among the K4 moments is greater than or equal to the sixteenth threshold; The time difference between the first preset event triggering moment and the seventh moment among the K4 moments is less than or equal to the seventeenth threshold; as well as The time difference between the first preset event triggering moment and the seventh moment among the K4 moments is greater than or equal to the eighteenth threshold; Among them, the sixth moment is the moment farthest from the first preset event triggering moment among the K4 moments, the seventh moment is the moment closest to the first preset event triggering moment among the K4 moments, and K4 is a natural number greater than or equal to 1.

54. The apparatus according to any one of claims 45 to 53, characterized in that The first prediction value is associated with a triggering moment of a first preset event, the first preset event includes a first type of preset event, and the first type of preset event includes one or more of the following events: The measurement value of the serving cell is greater than or equal to a nineteenth threshold; The measurement value of the serving cell is less than or equal to a twentieth threshold; The difference between the measurement value of the neighboring cell and the measurement value of the primary cell or the primary and secondary cells is greater than or equal to the first offset; The measurement value of the neighboring cell is greater than or equal to a twenty-first threshold; The measurement value of the primary cell or the primary and secondary cells is less than a twenty-second threshold, and the measurement value of the neighboring cell or the secondary cell is greater than a twenty-third threshold; The difference between the measurement value of the neighboring cell and the measurement value of the secondary cell is greater than or equal to the second offset; The distance between the terminal device and the first reference point is greater than or equal to a twenty-fourth threshold; The distance between the terminal device and the second reference point is less than or equal to the twenty-fifth threshold; The measurement value of the neighboring cell is greater than or equal to a twenty-sixth threshold, and the neighboring cell and the serving cell are based on different radio access technologies; The measurement value of the primary cell is less than a twenty-seventh threshold, and the measurement value of the neighboring cell is greater than a twenty-eighth threshold, wherein the neighboring cell and the serving cell are based on different radio access technologies; The periodic measurement reporting timer times out; Arrival of the first absolute moment; and From the successful receipt of the measurement configuration, the first time has elapsed.

55. The device according to claim 54, characterized in that The first preset event includes a second type of preset event, and the second type of preset event includes the first type of preset event that is expected to occur within a second time.

56. Apparatus according to claim 54 or 55, characterised in that The first preset event includes a third type of preset event, the third type of preset event includes that the first type of preset event is expected to occur within a second time, and the measurement value of the serving cell is less than or equal to a twenty-ninth threshold.

57. The apparatus according to any one of claims 54 to 56, characterized in that The first preset event includes a fourth type of preset event, and the fourth type of preset event includes that the first type of preset event is expected to occur within a second time, and the measurement value of the service cell is less than or equal to a thirtieth threshold and lasts for a third time.

58. The apparatus according to any one of claims 45 to 57, characterized in that The first information is also used to indicate a measurement value of the first cell.

59. The apparatus according to any one of claims 45 to 58, characterized in that The first information is associated with absolute time information and / or relative time information.

60. The apparatus according to any one of claims 45 to 59, characterized in that The configuration granularity of the parameter associated with the first prediction value is one or more of the following: Frequency range granularity; Carrier granularity; frequency band granularity; Band combination granularity; Device type granularity; and Cell granularity.

61. The apparatus according to any one of claims 45 to 60, characterized in that The device also includes: A receiving unit is used to receive second information sent by the second device, where the second information is used to indicate configuration information associated with the first prediction value.

62. The device according to claim 61, characterized in that The second information includes one or more of the following information: First instruction information; Supporting or allowing obtaining one or more physical cell identifiers PCI information of the first prediction value; Support or allow acquisition of beam information of measurement values; Support or allow obtaining beam information of predicted values; Second instruction information; as well as Configuration information of the first preset event; The first indication information is used to indicate whether the acquisition of the first prediction value is supported or allowed, and the second indication information is used to indicate the reporting requirement of the first prediction value.

63. The device according to claim 62, characterized in that The first indication information is associated with one or more of the following information: Frequency information; PCI information; Measuring target information; Measurement identification information; Measurement reporting configuration information; and Configuration information of the first preset event.

64. The device according to claim 62 or 63, characterized in that The configuration information of the first preset event includes event identification information and / or event parameter information.

65. The apparatus according to any one of claims 45 to 64, characterized in that The first predicted value and / or measured value is associated with one or more of the following parameters: Reference signal received power RSRP; Reference signal received quality RSRQ; and Signal to Interference plus Noise Ratio SINR.

66. The apparatus according to any one of claims 45 to 65, characterized in that The first device is a terminal device or a network device.

67. A device for wireless communication, characterized in that: The device is a second device, and the device includes: A receiving unit is used to receive first information sent by a first device, where the first information is used to indicate a first prediction value of a first cell; wherein the first cell is a current service cell of the terminal device and / or a neighboring cell of the service cell.

68. The device according to claim 67, characterized in that The first prediction value includes a cell-level prediction value and / or a beam-level prediction value.

69. The device according to claim 68, characterized in that The first prediction value includes one or more of the following information: The predicted value at the current moment; Predicted values ​​for one or more past moments; and The predicted value at one or more future times.

70. The apparatus according to claim 68 or 69, characterized in that The cell-level prediction value of the first cell at the first moment is determined based on one or more of the following information: cell-level measurement values ​​and / or cell-level prediction values ​​of the first cell at K1 moments in the past compared to the first moment; The measured values ​​of some beams of the first cell and / or the predicted values ​​of some beams at the past K1 moments compared with the first moment value; as well as measured values ​​of some beams of the first cell at the first moment and / or predicted values ​​of some beams; Wherein, K1 is a natural number greater than or equal to 1.

71. The apparatus according to any one of claims 68 to 70, characterized in that The beam-level prediction value of the first cell at a first moment is determined based on one or more of the following information: beam level measurement values ​​of the first cell at the past K2 moments compared to the first moment; measured values ​​of some beams of the first cell and / or predicted values ​​of some beams at past K2 moments compared with the first moment; as well as The measurement values ​​of some beams of the first cell at the first moment; Wherein, K2 is a natural number greater than or equal to 1.

72. The device according to claim 70 or 71, characterized in that The first moment is any one of the one or more moments associated with the first prediction value.

73. The apparatus according to any one of claims 70 to 72, characterized in that K1 or K2 moments meet one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the first threshold; The time difference between any two adjacent moments is less than or equal to the second threshold; A time difference between the first moment and a second moment among the K1 moments or the K2 moments is less than or equal to a third threshold; A time difference between the first moment and a second moment among the K1 moments or the K2 moments is greater than or equal to a fourth threshold; A time difference between the first moment and a third moment among the K1 moments or the K2 moments is less than or equal to a fifth threshold; as well as A time difference between the first moment and a third moment among the K1 moments or the K2 moments is greater than or equal to a sixth threshold; The second moment is the moment farthest from the first moment among the K1 moments or the K2 moments, and the third moment is the moment closest to the first moment among the K1 moments or the K2 moments.

74. The apparatus according to any one of claims 67 to 73, characterized in that If the first prediction value of the first cell includes the prediction value of K3 past moments when the first preset event is triggered, the K3 moments satisfy one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the seventh threshold; The time difference between any two adjacent moments is less than or equal to the eighth threshold; The time difference between the first preset event triggering moment and the fourth moment among the K3 moments is less than or equal to a ninth threshold; The time difference between the first preset event triggering moment and the fourth moment among the K3 moments is greater than or equal to the tenth threshold; The time difference between the first preset event triggering moment and the fifth moment among the K3 moments is less than or equal to the eleventh threshold; as well as The time difference between the first preset event triggering moment and the fifth moment among the K3 moments is greater than or equal to a twelfth threshold; Among them, the fourth moment is the moment farthest from the first preset event triggering moment among the K3 moments, the fifth moment is the moment closest to the first preset event triggering moment among the K3 moments, and K3 is a natural number greater than or equal to 1.

75. The apparatus according to any one of claims 67 to 74, characterized in that If the first prediction value of the first cell includes the prediction value of K4 future moments when the first preset event is triggered, the K4 moments satisfy one or more of the following conditions: The time difference between any two adjacent moments is greater than or equal to the thirteenth threshold; The time difference between any two adjacent moments is less than or equal to the fourteenth threshold; The time difference between the first preset event triggering moment and the sixth moment among the K4 moments is less than or equal to the fifteenth threshold; The time difference between the first preset event triggering moment and the sixth moment among the K4 moments is greater than or equal to the sixteenth threshold; The time difference between the first preset event triggering moment and the seventh moment among the K4 moments is less than or equal to the seventeenth threshold; as well as The time difference between the first preset event triggering moment and the seventh moment among the K4 moments is greater than or equal to the eighteenth threshold; Among them, the sixth moment is the moment farthest from the first preset event triggering moment among the K4 moments, the seventh moment is the moment closest to the first preset event triggering moment among the K4 moments, and K4 is a natural number greater than or equal to 1.

76. The apparatus according to any one of claims 67 to 75, characterized in that The first prediction value is associated with a triggering moment of a first preset event, the first preset event includes a first type of preset event, and the first type of preset event includes one or more of the following events: The measurement value of the serving cell is greater than or equal to a nineteenth threshold; The measurement value of the serving cell is less than or equal to a twentieth threshold; The difference between the measurement value of the neighboring cell and the measurement value of the primary cell or the primary and secondary cells is greater than or equal to the first offset; The measurement value of the neighboring cell is greater than or equal to a twenty-first threshold; The measurement value of the primary cell or the primary and secondary cells is less than a twenty-second threshold, and the measurement value of the neighboring cell or the secondary cell is greater than a twenty-third threshold; The difference between the measurement value of the neighboring cell and the measurement value of the secondary cell is greater than or equal to the second offset; The distance between the terminal device and the first reference point is greater than or equal to a twenty-fourth threshold; The distance between the terminal device and the second reference point is less than or equal to the twenty-fifth threshold; The measurement value of the neighboring cell is greater than or equal to a twenty-sixth threshold, and the neighboring cell and the serving cell are based on different radio access technologies; The measurement value of the primary cell is less than a twenty-seventh threshold, and the measurement value of the neighboring cell is greater than a twenty-eighth threshold, wherein the neighboring cell and the serving cell are based on different radio access technologies; The periodic measurement reporting timer times out; Arrival of the first absolute moment; and From the successful receipt of the measurement configuration, the first time has elapsed.

77. The device according to claim 76, characterized in that The first preset event includes a second type of preset event, and the second type of preset event includes the first type of preset event that is expected to occur within a second time.

78. Apparatus according to claim 76 or 77, characterised in that The first preset event includes a third type of preset event, the third type of preset event includes that the first type of preset event is expected to occur within a second time, and the measurement value of the serving cell is less than or equal to a twenty-ninth threshold.

79. The apparatus according to any one of claims 76 to 78, characterized in that The first preset event includes a fourth type of preset event, and the fourth type of preset event includes that the first type of preset event is expected to occur within a second time, and the measurement value of the service cell is less than or equal to a thirtieth threshold and lasts for a third time.

80. The apparatus according to any one of claims 67 to 79, characterized in that The first information is also used to indicate a measurement value of the first cell.

81. The apparatus according to any one of claims 67 to 80, characterized in that The first information is associated with absolute time information and / or relative time information.

82. The apparatus according to any one of claims 67 to 81, characterized in that The configuration granularity of the parameter associated with the first prediction value is one or more of the following: Frequency range granularity; Carrier granularity; frequency band granularity; Band combination granularity; Device type granularity; and Cell granularity.

83. The apparatus according to any one of claims 67 to 82, characterized in that The device also includes: A sending unit is used to send second information to the first device, where the second information is used to indicate configuration information associated with the first prediction value.

84. The device according to claim 83, characterized in that The second information includes one or more of the following information: First instruction information; Supporting or allowing obtaining one or more physical cell identifiers PCI information of the first prediction value; Support or allow acquisition of beam information of measurement values; Support or allow obtaining beam information of predicted values; Second instruction information; as well as Configuration information of the first preset event; The first indication information is used to indicate whether the first prediction value is supported or allowed to be obtained, and the second indication information is used to indicate whether the first prediction value is supported or allowed to be obtained. Indicates the reporting requirement of the first prediction value.

85. The device according to claim 84, characterized in that The first indication information is associated with one or more of the following information: Frequency information; PCI information; Measuring target information; Measurement identification information; Measurement reporting configuration information; and Configuration information of the first preset event.

86. The apparatus according to claim 84 or 85, characterized in that The configuration information of the first preset event includes event identification information and / or event parameter information.

87. The apparatus according to any one of claims 67 to 86, characterized in that The first predicted value and / or measured value is associated with one or more of the following parameters: Reference signal received power RSRP; Reference signal received quality RSRQ; and Signal to Interference plus Noise Ratio SINR.

88. The apparatus according to any one of claims 67 to 87, characterized in that The second device is a terminal device or a network device.

89. A device for wireless communication, characterized in that: The invention comprises a memory and a processor, wherein the memory is used to store a program, and the processor is used to call the program in the memory to execute the method according to any one of claims 1 to 22.

90. A device for wireless communication, characterized in that: It comprises a memory and a processor, wherein the memory is used to store a program, and the processor is used to call the program in the memory to execute the method as claimed in any one of claims 23 to 44.

91. A device for wireless communication, characterized in that: The invention comprises a processor, which is used to call a program from a memory to execute the method according to any one of claims 1 to 22.

92. A device for wireless communication, characterized in that: The device comprises a processor for calling a program from a memory to execute a method as claimed in any one of claims 23 to 44.

93. A chip, characterized in that: It comprises a processor, which is used to call a program from a memory, so that a device equipped with the chip executes a method as claimed in any one of claims 1 to 22.

94. A chip, characterized in that: It comprises a processor, which is used to call a program from a memory, so that a device equipped with the chip executes a method as claimed in any one of claims 23 to 44.

95. A computer-readable storage medium, characterized in that A program is stored thereon, the program causing a computer to execute the method according to any one of claims 1 to 22.

96. A computer-readable storage medium, characterized in that A program is stored thereon, the program causing a computer to execute the method according to any one of claims 23-44.

97. A computer program product, characterized in that The method comprises a program which causes a computer to execute the method according to any one of claims 1 to 22.

98. A computer program product, characterized in that A program is included, which causes a computer to execute the method as claimed in any one of claims 23 to 44.

99. A computer program, characterized in that The computer program enables a computer to execute the method according to any one of claims 1 to 22.

100. A computer program, characterized in that The computer program causes a computer to execute the method according to any one of claims 23-44.

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