Communication method and communication device

Abstract

Provided are a communication method and a communication device. The method comprises: a terminal device determines a predicted measurement result on the basis of one or more of the following parameters of a first model: a first parameter, used for indicating the number of measurement periods comprised in a first mode, wherein the first mode corresponds to a time interval in time domain, and the first mode comprises one or more actually measured measurement periods and one or more predicted measurement periods; a second parameter, used for indicating the number of actually measured measurement periods comprised in the first mode; a third parameter, used for indicating the number of first modes comprised in an OW of the first model; a fourth parameter, used for indicating the number of the first modes comprised in a PW of the first model; and a fifth parameter, used for indicating a sliding distance of the PW upon completion of each prediction of the first model.

Description

Communication method and communication device TECHNICAL FIELD

[0001] The present application relates to the technical field of communication, and more particularly, to a communication method and a communication device. BACKGROUND

[0002] With the development of communication technology, a model-based prediction technology is introduced in a wireless communication system. In a process of performing radio resource management (RRM) measurement by using a model, how to configure parameters of the model and how to determine a predicted measurement result by using the model are problems to be solved.

[0003] SUMMARY

[0004] The present application provides a communication method and a communication device. Each aspect of the present application is described below.

[0005] In a first aspect, a communication method is provided, and the method comprises: determining, by a terminal device, a predicted measurement result according to one or more of the following parameters of a first model; a first parameter, used to indicate a number of measurement periods contained in a first mode, the first mode corresponding to a time interval in a time domain, and the first mode comprising one or more actually measured measurement periods and one or more predicted measurement periods; a second parameter, used to indicate a number of actually measured measurement periods contained in the first mode; a third parameter, used to indicate a number of the first modes contained in an observation window (OW) of the first model; a fourth parameter, used to indicate a number of the first modes contained in a prediction window (PW) of the first model; and a fifth parameter, used to indicate a sliding distance of the PW after each prediction of the first model is completed.

[0006] In a second aspect, a communication method is provided, and the method comprises: sending, by a network device, one or more of the following parameters of a first model to a terminal device: a first parameter, used to indicate a number of measurement periods contained in a first mode, the first mode corresponding to a time interval in a time domain, and the first mode comprising one or more actually measured measurement periods and one or more predicted measurement periods; a second parameter, used to indicate a number of actually measured measurement periods contained in the first mode; a third parameter, used to indicate a number of the first modes contained in an observation window (OW) of the first model; a fourth parameter, used to indicate a number of the first modes contained in a prediction window (PW) of the first model; and a fifth parameter, used to indicate a sliding distance of the PW after each prediction of the first model is completed.

[0007] In a third aspect, a communication device is provided, the communication device being a terminal device, the terminal device comprising: a determining module configured to determine a predicted measurement result according to one or more of the following parameters of a first model: a first parameter indicating a number of measurement periods included in a first pattern, the first pattern corresponding to a time interval in time domain, and the first pattern comprising one or more actual measurement periods and one or more predicted measurement periods; a second parameter indicating a number of actual measurement periods included in the first pattern; a third parameter indicating a number of the first patterns included in an OW of the first model; a fourth parameter indicating a number of the first patterns included in a PW of the first model; and a fifth parameter indicating a sliding distance of the PW after each prediction of the first model is completed.

[0008] In a fourth aspect, a communication device is provided, the communication device being a network device, the network device comprising: a sending module configured to send, to a terminal device, one or more of the following parameters of a first model: a first parameter indicating a number of measurement periods included in a first pattern, the first pattern corresponding to a time interval in time domain, and the first pattern comprising one or more actual measurement periods and one or more predicted measurement periods; a second parameter indicating a number of actual measurement periods included in the first pattern; a third parameter indicating a number of the first patterns included in an OW of the first model; a fourth parameter indicating a number of the first patterns included in a PW of the first model; and a fifth parameter indicating a sliding distance of the PW after each prediction of the first model is completed.

[0009] In a fifth aspect, a communication device is provided, comprising a transceiver, a memory, and a processor, the memory being configured to store a program, and the processor being configured to invoke the program in the memory and control the transceiver to receive or send a signal, so that the communication device performs the method according to the first aspect or the second aspect.

[0010] In a sixth aspect, an apparatus is provided, comprising a processor configured to invoke a program from a memory, so that the apparatus performs the method according to the first aspect or the second aspect.

[0011] In a seventh aspect, a chip is provided, comprising a processor configured to invoke a program from a memory, so that a device installed with the chip performs the method according to the first aspect or the second aspect.

[0012] In an eighth aspect, a computer-readable storage medium is provided, having a program stored thereon, the program causing a computer to perform the method according to the first aspect or the second aspect.

[0013] In a ninth aspect, a computer program product is provided, and the computer program product includes a program that causes a computer to execute the method of the first aspect or the second aspect.

[0014] In a tenth aspect, a computer program is provided, and the computer program causes a computer to execute the method of the first aspect or the second aspect. BRIEF DESCRIPTION OF DRAWINGS

[0015] FIG. 1 is an example diagram of a system architecture of a wireless communication system to which embodiments of the present application can be applied.

[0016] FIG. 2 is a diagram of a determination method of whether to trigger a measurement event.

[0017] FIG. 3 is a diagram of a measurement procedure of a terminal device.

[0018] FIG. 4 is an example diagram of a time-domain prediction case A provided in the related art.

[0019] FIG. 5 is an example diagram of a time-domain prediction case B provided in the related art.

[0020] FIG. 6 is a diagram of a communication method provided by an embodiment of the present application.

[0021] FIG. 7 is an example diagram of a first mode provided by an embodiment of the present application.

[0022] FIG. 8 is an example diagram of OW and PW provided by an embodiment of the present application.

[0023] FIG. 9 is an example diagram of a sliding method of PW provided by an embodiment of the present application.

[0024] FIG. 10 is an example diagram of a sliding method of PW provided by another embodiment of the present application.

[0025] FIG. 11 is an example diagram of a sliding method of PW provided by another embodiment of the present application.

[0026] FIG. 12 is an example diagram of a sliding method of PW provided by another embodiment of the present application.

[0027] FIG. 13 is an example diagram of a first mode provided by another embodiment of the present application.

[0028] FIG. 14 is an example diagram of a sliding method of PW provided by another embodiment of the present application.

[0029] FIG. 15 is a diagram of a schematic configuration of a communication device provided by an embodiment of the present application.

[0030] FIG. 16 is a diagram of a schematic configuration of a communication device provided by another embodiment of the present application.

[0031] FIG. 17 is a schematic structural diagram of an apparatus provided by an embodiment of the present application. DETAILED DESCRIPTION

[0032] The technical solutions in the present application will be described below with reference to the drawings.

[0033] Communication system

[0034] FIG. 1 is an example diagram of a system architecture of a wireless communication system 100 to which embodiments of the present application can be applied. The wireless communication system 100 can include a network device 110 and a terminal device 120. The network device 110 can be a device that communicates with the terminal device 120. The network device 110 can provide network coverage for a specific geographic area and can communicate with the terminal device 120 located within the coverage area. The terminal device 120 can access a network (such as a wireless network) through the network device 110. Optionally, the wireless communication system 100 can further include a network controller, a mobile management entity, and other network entities, which are not limited by embodiments of the present application.

[0035] It should be understood that the technical solutions of the embodiments of the present application can be applied to various communication systems, such as: 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 by the present application can also be applied to future communication systems, such as the sixth generation mobile communication system, such as satellite communication system, etc.

[0036] The terminal device in the embodiments of the present application can also be referred to as a user equipment (UE), an access terminal, a user unit, a user station, a mobile station, a mobile terminal (MT), a remote station, a remote terminal, a mobile device, a user terminal, a terminal, a wireless communication device, a user agent or a user apparatus. The terminal device in the embodiments of the present application can refer to a device providing voice and / or data connectivity for a user, and can be used to connect people, things and machines, such as handheld devices with wireless connection function, vehicle-mounted devices, etc. The terminal device in the embodiments of the present application can be a mobile phone, a tablet computer (Pad), a notebook computer, a palm computer, a mobile internet device (MID), a wearable device, a virtual reality (VR) device, an augmented reality (AR) device, a wireless terminal in industrial control, a wireless terminal in self driving, a wireless terminal in remote medical surgery, a wireless terminal in smart grid, a wireless terminal in transportation safety, a wireless terminal in smart city, a wireless terminal in smart home, etc. Optionally, the terminal device can be used to act as a base station. For example, the terminal device can act as a scheduling entity, which provides sidelink signals between terminal devices in vehicle to everything (V2X) or device to device (D2D), etc. For example, a cellular phone and a car communicate with each other using sidelink signals. The cellular phone and the smart home device communicate with each other without relaying the communication signals through the base station.

[0037] The network device in the embodiments of the present application can be a device for communicating with a terminal device. The network device can be, for example, an access network device or a radio access network device. For example, the network device can be a base station. The base station can broadly cover various names in the following or replace the names in the following: Node B (NodeB), evolved Node B (eNB), next generation Node B (gNB), relay station, access point, transmitting and receiving point (TRP), transmitting point (TP), home base station, network controller, access node, wireless node, access point (AP), transmission node, transceiver node, baseband unit (BBU), remote radio unit (RRU), active antenna unit (AAU), remote radio head (RRH), central unit (CU), distributed unit (DU), positioning node, and the like. The base station can be a macro base station, a micro base station, a relay node, a donor node, or the like, or a combination thereof.

[0038] Radio resource management (RRM) measurement

[0039] In a cellular communication system of the 3rd generation partnership project (3GPP), a terminal device needs to measure the strength or quality of a radio signal of a current serving cell and surrounding neighbor cells. Then, the terminal device can report these contents to a network device in the form of a measurement report through a radio resource control (RRC) message, so that the network device can make a handover decision based on the measurement report.

[0040] The measurement report includes three reporting modes:

[0041] First, periodic reporting;

[0042] Second, reporting based on a measurement event;

[0043] Third, reporting based on a measurement event and then continuing periodic reporting.

[0044] The measurement report can include a specific measurement event and / or a measurement result. For example, the measurement report can include a signal strength or a signal quality of a cell. The signal strength can be represented by a reference signal received power (RSRP), which can be in a dimension of decibel-milliwatt (dbm). The signal quality can be represented by a reference signal received quality (RSRQ), which can be in a dimension of decibel (db). The measurement report can report a measurement result of a current serving cell and / or a neighboring cell. The measurement object corresponding to the measurement report can include an intra-frequency, an inter-frequency, or an inter-RAT frequency.

[0045] The information or parameters related to the measurement event include a measurement result, a comparison parameter, and a timer representing robustness of the measurement result. The measurement result can include a measurement result of a serving cell and / or a neighboring cell. For example, the measurement result can include a signal strength or a signal quality of a cell. The dimension of the measurement result is defined in a standard protocol, and a larger value of the measurement result represents a higher signal strength or a higher signal quality.

[0046] The comparison parameter can include one or more of a threshold value, a hysteresis value, an offset value, etc. In determining whether a measurement event occurs, an absolute comparison based on the comparison parameter or a relative comparison based on the comparison parameter can be performed. The absolute comparison refers to a comparison between a measurement value of a cell and a threshold value. In the absolute comparison, if the measurement value is greater than the threshold value plus a hysteresis value, an entering condition of the measurement event is satisfied; if the measurement value is less than the threshold value minus the hysteresis value, a leaving condition of the measurement event is satisfied. The relative comparison usually refers to a comparison between a measurement result of a neighboring cell and a measurement result of a serving cell. Before the comparison, the measurement results of the respective cells are added with respective offset values. For the serving cell, the measurement result is also added with an offset value corresponding to the event (Off_event). Finally, in the relative comparison, a hysteresis value (Hys) also needs to be considered. Taking an A3 event as an example, assuming that the related parameters of the serving cell are marked by s and the related parameters of the neighboring cell are marked by n, the entering condition of the measurement event can be represented by the following formula: Mn+Ofn>Ms+Ofs+Hys+Off_event, and the leaving condition of the measurement event can be represented by the following formula: Mn+Ofn<Ms+Ofs-Hys+Off_event.

[0047] The timer mentioned above for indicating the robustness of the measurement result can refer to a time to trigger (TTT) timer. The TTT timer is started when a certain cell meets the entering condition of a certain event. When the TTT timer expires, if the cell still meets the entering condition of the event, it means that the cell triggers the measurement event. For details, refer to FIG. 2.

[0048] The chapter 5.5.3 of TS 38.331 of 3GPP describes how the terminal device performs intra-frequency or inter-frequency measurement, how the terminal device performs measurement sampling in layer 1 (L1) according to the beam, and how the terminal device makes a decision on the measurement event according to the parameters configured by the network device. The above can be described by using the model diagram of chapter 9.2.4 of TS 38.300 (see FIG. 3).

[0049] FIG. 3 includes multiple reference points. At reference point A, the terminal device performs physical layer measurement sampling, which is performed according to the granularity of the beam. Generally, the protocol specifies the length of the measurement period, and within the measurement period, the terminal device performs sampling at least once.

[0050] At reference point A1, the terminal device performs L1 filtering on the obtained beam measurement result.

[0051] At reference point B, the terminal device performs a merging operation on the beam measurement result in a certain cell obtained at reference point A1, to synthesize the L1 measurement result at the cell level.

[0052] At reference point C, the L1 measurement result at the cell level of a certain cell is sequentially filtered by L3 to obtain the L3 measurement result at the cell level.

[0053] At reference point D, the measurement result of the serving cell and / or the neighboring cell is used to determine whether a certain specific measurement event is true according to a certain decision condition (which can be configured by the network device). For example, whether the measurement result of the neighboring cell is higher than the measurement result of the primary cell (PCell) by a certain offset value (i.e., whether the A3 event is true) and the like.

[0054] Artificial intelligence (AI) / machine learning (ML) in 3GPP

[0055] 3GPP studied in Rel 18 whether AI / ML models can be applied in key technologies of physical layer. For example, can AI / ML models compress and decompress channel state information (CSI) of wireless interface? For another example, can AI / ML models predict the best beam or beam pair in spatial or time domain? For another example, can AI / ML models predict positioning results? The results of these studies are recorded in TR 38.843.

[0056] For example, in chapter 6.3 of TR 38.843, it is described how to perform beam prediction based on AI / ML models (beam prediction for beam management purposes). The scenarios of performing beam prediction based on AI / ML models include two use cases, one of which is spatial beam prediction, that is, by measuring a partial subset of beams, the best beam (the beam with the strongest wireless signal) or the best beam pair (for downlink transmission and reception) in the full set of beams is predicted by utilizing the spatial correlation between beams. The other use case is time-domain beam prediction, that is, according to the measurement results of historically measured beams (and beams that have been predicted), the beam measurement results of the current time slot are predicted by utilizing the correlation of beams over time. From the evaluation results given, the above two use cases are not only technically feasible, but also can improve the performance of the communication system.

[0057] 3GPP decided in RAN#102 meeting in December 2023 to study how to apply the techniques for beam prediction to RRM measurement (see RP-234055).

[0058] The following use cases are identified in the 3GPP RAN2 study on RRM measurement: RRM measurement prediction, measurement event prediction, and radio link failure (RLF) / handover failure (HOF) event prediction. The common feature of these use cases is that the measurement results of some or all of the actual measurements in a certain domain (for example, time domain, spatial domain, or frequency domain) are needed to predict the measurement results of other parts in this domain.

[0059] When predicting the measurement results of other parts in the time domain by using some or all of the actual measurement results in the time domain, there are two cases, case A and case B. The two cases are described below in connection with FIG. 4 and FIG. 5. In FIG. 4 and FIG. 5, the unfilled boxes correspond to actual measurement results, the vertically filled boxes correspond to skipped measurement results, and the diagonally filled boxes correspond to predicted measurement results.

[0060] In case A, the measurement results in a prediction window (PW) are predicted based on all actual measurement results in an observation window (OW), so that the measurement results of a certain measurement object are known in advance, as shown in FIG. 4.

[0061] In case B, the measurement results in the PW are predicted based on part of the actual measurement results in the OW, so that the part of the measurement results predicted in the PW are skipped, so as to save energy and hardware resources, and the like, as shown in FIG. 5.

[0062] For case B, the following results are obtained in the email discussion of 3GPP on how to make the prediction. In case B, the measurement results in the PW are predicted based on the historical measurement results in the OW. Then, the OW and the PW are slid forward by one or more sampling periods (in the case of sliding L1 / L3 filtering) or one or more measurement periods (in the case of non-sliding L1 / L3 filtering). During the window sliding, the measurement results in the previous PW are skipped.

[0063] From the above description, it can be known that there are two points that are not very clear when the PW is set according to a pattern.

[0064] First, how to set the length of the PW. As shown in FIG. 4 and FIG. 5, the length of the PW in the examples mentioned above is fixed at the measurement occasions predicted in a pattern, and the setting is not flexible enough. For example, the length of the PW in FIG. 4 is fixed at two predicted measurement occasions, and the length of the PW in FIG. 5 is fixed at one predicted measurement occasion.

[0065] Second, how to move the PW after the OW and the PW are set, so as to skip some measurement occasions.

[0066] In view of the above problems, the method provided in the embodiments of the present application will be described in detail below with reference to FIG. 6 to FIG. 14.

[0067] FIG. 6 is a schematic flowchart of a communication method provided in the embodiments of the present application. The method can be executed by a terminal device. The terminal device can be the terminal device 120 mentioned above. For example, the terminal device can be a UE. The detailed description of the terminal device can be referred to the description of the related part above, and will not be described here again.

[0068] As shown in FIG. 6, the communication method provided in the embodiments of the present application can include the following step S610.

[0069] In step S610, the terminal device determines a predicted measurement result according to parameters of a first model.

[0070] The first model mentioned herein can be any type of model capable of performing a prediction function, such as an AL / ML model.

[0071] The predicted measurement result mentioned herein can be used for RRM measurement. The RRM measurement can include one or more of the following: RRM measurement prediction, measurement event prediction, and RLF / HOF event prediction. The predicted measurement result can include an L1 predicted measurement result and / or an L3 predicted measurement result.

[0072] The parameters of the first model can include one or more of the following parameters: a first parameter, a second parameter, a third parameter, a fourth parameter, and a fifth parameter. For ease of description, the values of the first parameter, the second parameter, the third parameter, the fourth parameter, and the fifth parameter are denoted as capital letters M, N, K, L, and P, respectively, hereinafter. Each parameter is described in detail below.

[0073] The first parameter can be used to indicate the number of measurement periods contained in the first mode.

[0074] The first mode can correspond to a time interval in the time domain. The first mode can be used to make predictions in the time domain. Alternatively, the first mode can also be used to make predictions in the frequency domain. When the first mode is used to make predictions in the time domain, the first mode can be referred to as a time-domain basic mode. When the first mode is used to make predictions in the frequency domain, the first mode can be referred to as a frequency-domain basic mode. FIG. 7 is an example diagram of the first mode.

[0075] A measurement period can be used to output one measurement result. Alternatively, there can be one measurement occasion in one measurement period, and one measurement occasion can be used to output one measurement result. Each measurement period can be understood as the time interval between two adjacent measurement results. That is, the terminal device can obtain one measurement result every measurement period. The measurement period can be a real measurement period, a predicted measurement period, or a skipped measurement period. A real measurement period can be used to output a real measurement result. A predicted measurement period can be used to output a predicted measurement result. Taking the first mode shown in FIG. 7 as an example, in FIG. 7, each box corresponds to a measurement occasion (or a measurement result), a box without filling corresponds to a real measurement result, and a box with diagonal filling corresponds to a predicted measurement result. The interval between two adjacent boxes represents a measurement period. The boxes with different styles in FIGS. 8 to 14 represent the same meaning as in FIG. 7.

[0076] In the above description, the measurement result can be an L1 measurement result or an L3 measurement result. The measurement result can be a beam level measurement result or a cell level measurement result. The actual measurement result can be a measurement result obtained by actual measurement without using the first model by the terminal device. For example, the actual measurement result can be a measurement result obtained by actual measurement according to a measurement model in an existing standard specification by the terminal device.

[0077] The first mode can include one or more actual measurement periods and one or more predicted measurement periods. Alternatively, the first mode includes one or more actual measurement periods, and the number of measurement periods included in the first mode is greater than the number of actual measurement periods in the first mode. Optionally, the remaining measurement periods (other than the actual measurement periods) in the first mode can be understood as predicted measurement periods or measurement periods that need to be skipped. Still taking the first mode shown in FIG. 7 as an example. The first mode shown in FIG. 7 includes 5 measurement periods. Among the 5 measurement periods, 3 measurement periods are actual measurement periods, and 2 measurement periods are predicted measurement periods.

[0078] In some implementations, the predicted measurement periods in the first mode are all located after the actual measurement periods in the first mode in the time domain. In some embodiments, “the predicted measurement periods in the first mode are all located after the actual measurement periods in the first mode in the time domain” can include or be replaced by: the first measurement period in the first mode is an actual measurement period, the actual measurement periods in the first mode are continuous in the time domain, and the predicted measurement periods in the first mode are continuous in the time domain. In some embodiments, “the predicted measurement periods in the first mode are all located after the actual measurement periods in the first mode in the time domain” can include or be replaced by: the last measurement period in the first mode is a predicted measurement period, the actual measurement periods in the first mode are continuous in the time domain, and the predicted measurement periods in the first mode are continuous in the time domain. In some embodiments, “the predicted measurement periods in the first mode are all located after the actual measurement periods in the first mode in the time domain” can include or be replaced by: the predicted measurement periods in the first mode are all later than the actual measurement periods in the first mode. In the above several descriptions, “predicted measurement period” can be replaced by: measurement period that needs to be skipped. Still taking the first mode shown in FIG. 7 as an example. The 2 predicted measurement periods in the first mode in FIG. 7 are all located after the 3 actual measurement periods in the first mode in the time domain.

[0079] The first parameter is used to indicate the number of measurement periods contained in the first mode. The number of measurement periods contained in the first mode can include the number of actual measurement periods contained in the first mode, and the number of predicted measurement periods contained in the first mode. The first parameter being used to indicate the number of measurement periods contained in the first mode can include or be replaced by: the first parameter being used to indicate the number of measurement results contained in the first mode. The number of measurement periods contained in the first mode, or the number of measurement results contained in the first mode, can also be referred to as the measurement mode period.

[0080] The first parameter can indicate the number of measurement periods contained in the first mode in various ways. Optionally, in some embodiments, the value of the first parameter can be set to be equal to the number of measurement periods contained in the first mode. In this case, since the first mode includes at least one actual measurement period and one predicted measurement period (i.e., the first mode includes at least two measurement periods), the value of the first parameter M is greater than or equal to 2. Still taking the first mode shown in FIG. 7 as an example, the first mode in FIG. 7 contains 5 measurement periods, so the value of the first parameter M is equal to 5.

[0081] The second parameter is used to indicate the number of actual measurement periods contained in the first mode. In some embodiments, the second parameter being used to indicate the number of actual measurement periods contained in the first mode can be replaced by: the second parameter being used to indicate the number of actual measurement results contained in the first mode.

[0082] The second parameter can indicate the number of actual measurement periods contained in the first mode in various ways, which is not limited in the embodiments of the present application.

[0083] In some implementations, the second parameter can directly indicate the number of actual measurement periods contained in the first mode. Optionally, in some embodiments, the value of the second parameter is equal to the number of actual measurement periods contained in the first mode. In this case, since the first mode includes at least one actual measurement period, the value of the second parameter N is greater than or equal to 1. Still taking the first mode shown in FIG. 7 as an example, the first mode in FIG. 7 contains 3 actual measurement periods, so the value of the second parameter N is equal to 3.

[0084] In some implementations, the second parameter can also indicate the number of actual measurement periods by indicating the number of predicted measurement periods or skipped measurement periods. The number of predicted measurement periods or skipped measurement periods included in the first pattern can be determined based on the value of the second parameter, and then the number of actual measurement periods included in the first pattern can be determined based on the number of measurement periods included in the first pattern and the number of predicted measurement periods or skipped measurement periods included in the first pattern. Alternatively, in some embodiments, the value of the second parameter is equal to the number of predicted measurement periods or skipped measurement periods included in the first pattern. In this case, since the first pattern includes at least one predicted measurement period or skipped measurement period, the value of the second parameter N is greater than or equal to 1. Still taking the first pattern shown in FIG. 7 as an example, the number of measurement periods included in the first pattern is 5. The number of predicted measurement periods included in the first pattern is 2, so the value of the second parameter N is equal to 2. The number of actual measurement periods included in the first pattern can be obtained by subtracting the number of predicted measurement periods included in the first pattern (i.e., 2) from the number of measurement periods included in the first pattern (i.e., 5), i.e., 3.

[0085] The first model can include OWs and PWs. One OW can include one or more first patterns. It should be noted that when an OW includes one first pattern, the OW can only include the actual measurement periods in the first pattern, and not include the predicted measurement periods or skipped measurement periods in the first pattern. It should also be noted that when an OW includes multiple first patterns, for the last first pattern (i.e., the first pattern that is the latest in time among the multiple first patterns) among the multiple first patterns, the OW can only include the actual measurement periods in the last first pattern, and not include the predicted measurement periods or skipped measurement periods in the last first pattern. For the other first patterns among the multiple first patterns except the last first pattern, the OW can include all the measurement periods in the other first patterns.

[0086] One PW can include one or more first patterns. It should be noted that when a PW includes one first pattern, the PW can only include the predicted measurement periods in the first pattern (or only include the predicted measurement periods and the skipped measurement periods in the first pattern), and not include the actual measurement periods in the first pattern. It should also be noted that when a PW includes multiple first patterns, for the first first pattern (i.e., the first pattern that is the earliest in time among the multiple first patterns) among the multiple first patterns, the PW can only include the predicted measurement periods in the first first pattern (or only include the predicted measurement periods and the skipped measurement periods in the first first pattern), and not include the actual measurement periods in the first first pattern. For the other first patterns among the multiple first patterns except the first first pattern, the PW can include all the measurement periods in the other first patterns.

[0087] Fig. 8 is an example diagram of the constitution of OW and PW, in which the vertically lined boxes represent skipped measurements. The OW and PW in Fig. 8 are based on the first pattern shown in Fig. 7. As can be seen from Fig. 8, the OW is obtained by repeating the first pattern twice. In other words, the OW contains two first patterns, i.e. the first pattern 1 and the first pattern 2. For the first pattern 1, the OW contains all the measurement periods in the first pattern 1. For the first pattern 2, the OW contains only the actual measurement periods in the first pattern 2, but not the predicted measurement periods or the skipped measurement periods in the first pattern 2. As can also be seen from Fig. 8, the PW is also obtained by repeating the first pattern twice. In other words, the PW contains two first patterns, i.e. the first pattern 2 and the first pattern 3. For the first pattern 3, the PW contains all the measurement periods in the first pattern 3. For the first pattern 2, the PW contains only the predicted measurement periods in the first pattern 2, but not the actual measurement periods in the first pattern 2. In addition, the first pattern 2 is contained in both the OW and the PW. It can be understood that the OW and the PW share the first pattern 2. In other words, the OW and the PW share the first pattern 2.

[0088] The third parameter is used to indicate the number of first patterns contained in the OW of the first model.

[0089] In some embodiments, the "number of first patterns contained in the OW" can be replaced by: the number of repetitions of the first pattern for obtaining the OW. The third parameter can indicate the number of first patterns contained in the OW of the first model in various ways. Alternatively, in some embodiments, the value of the third parameter can be set to be equal to the number of first patterns contained in the OW of the first model. In this case, since the OW includes at least one first pattern, the value of the third parameter K is greater than or equal to 1. Still taking Fig. 8 as an example, the OW in Fig. 8 contains two first patterns shown in Fig. 7. In other words, the OW in Fig. 8 is obtained by repeating the first pattern shown in Fig. 7 twice. Therefore, the value of the third parameter K is equal to 2.

[0090] As described above, the OW can contain one or more first patterns, the number of measurement periods contained in the first pattern can be indicated by the first parameter, the number of actual measurement periods contained in the first pattern can be indicated by the second parameter, and the number of first patterns contained in the OW can be indicated by the third parameter.

[0091] The length of the OW can be determined based on one or more of the above-mentioned first parameter, second parameter and third parameter.

[0092] The length of the OW can be understood as the length of the OW in the time domain. The length of the OW can be replaced by: the time length of the OW, the time span of the OW, the size of the OW, the number of measurement periods contained in the OW, or the number of measurement results corresponding to the OW.

[0093] Optionally, in some embodiments, the value of the first parameter M is equal to the number of measurement periods contained in the first pattern, the value of the second parameter N is equal to the number of measured measurement periods contained in the first pattern, and the value of the third parameter K is equal to the number of first patterns contained in the OW. In this case, the length of the OW can be represented as: M*(K-1)+N. Still taking FIG. 7 and FIG. 8 as examples. The first pattern shown in FIG. 7 contains 5 measurement periods, of which the number of measured measurement periods is 3. Therefore, M=5 and N=3. The OW in FIG. 8 contains 2 first patterns shown in FIG. 7, so K=2. The length of the OW is 5*(2-1)+3=8. As can be seen from FIG. 8, the OW contains 8 measurement periods, which is consistent with the calculation result.

[0094] The fourth parameter is used to indicate the number of first patterns contained in the PW of the first model.

[0095] In some embodiments, the number of first patterns contained in the PW can be replaced by: the number of repetitions of the first pattern in order to obtain the PW. The fourth parameter can indicate the number of first patterns contained in the PW of the first model in various ways. Optionally, in some embodiments, the value of the fourth parameter can be set to be equal to the number of first patterns contained in the PW of the first model. In this case, since the PW contains at least one first pattern, the value of the fourth parameter L is greater than or equal to 1. Still taking FIG. 8 as an example, the PW in FIG. 8 contains two first patterns shown in FIG. 7. In other words, the PW in FIG. 8 is obtained by repeating the first pattern shown in FIG. 7 twice. Therefore, the value of the fourth parameter L is equal to 2.

[0096] As described above, the PW can contain one or more first patterns, the number of measurement periods contained in the first pattern can be indicated by the first parameter, the number of measured measurement periods contained in the first pattern can be indicated by the second parameter, and the number of first patterns contained in the PW can be indicated by the fourth parameter.

[0097] The length of the PW can be determined based on one or more of the above-mentioned first parameter, second parameter, and fourth parameter.

[0098] The length of the PW can be understood as the length of the PW in the time domain. The length of the PW can be replaced by: the time length of the PW, the time span of the PW, the size of the PW, the number of measurement periods contained in the PW, or the number of measurement results corresponding to the PW.

[0099] Optionally, in some embodiments, the value M of the first parameter is equal to the number of measurement cycles contained in the first mode, the value N of the second parameter is equal to the number of actual measurement cycles contained in the first mode, and the value L of the fourth parameter is equal to the number of first modes contained in PW. In this case, the length of PW can be expressed as: M*(L-1)+MN. Taking Figures 7 and 8 as examples again. The first mode shown in Figure 7 contains 5 measurement cycles, of which the number of actual measurement cycles is 3. Therefore, M=5, N=3. PW in Figure 8 contains 2 of the first modes shown in Figure 7, so L=2. The length of PW is 5*(2-1)+5-3=7. As can be seen from Figure 8, PW contains 7 measurement cycles, which is consistent with the calculation result.

[0100] It should be understood that when predicting measurement results within the current period (PW) based on measurement results within the previous period (OW), the prediction can be made solely based on the actual measurement results within the previous period (OW). Alternatively, the prediction can be made based on both the actual measurement results within the previous period (OW) and the predicted measurement results within the previous period (i.e., the historical predicted measurement results corresponding to the predicted measurement period within the previous period). Whether to use the predicted measurement results within the previous period (OW) depends on the required prediction accuracy. Using the predicted measurement results within the previous period (OW) may lead to a decrease in prediction accuracy.

[0101] It should also be understood that when predicting measurement results within the PW based on measurement results within the OW, the predicted measurement results corresponding to the predicted measurement period within the PW can be predicted based on the measurement results within the OW. Alternatively, the predicted measurement results corresponding to the predicted measurement period within the PW and the measurement results corresponding to measurement opportunities within the PW other than the predicted measurement period can also be predicted based on the measurement results within the OW. Whether to predict the measurement results corresponding to measurement opportunities within the PW other than the predicted measurement period depends on the computational requirements of the model. Predicting the measurement results corresponding to measurement opportunities within the PW other than the predicted measurement period may increase the computational load of the model.

[0102] The fifth parameter indicates the sliding distance of PW after each prediction by the first model.

[0103] After each prediction is completed, the first model can slide the PW.

[0104] In some embodiments, "the first model completes a prediction each time" can be replaced by or include that the first model obtains all the predicted measurement results within a PW each time. In some embodiments, "the first model completes a prediction each time" can be replaced by or include that the first model obtains the last predicted measurement result within a PW each time. In some embodiments, "the first model completes a prediction each time" can be replaced by or include that the first model completes the predicted measurement of all the predicted measurement periods within a PW each time. In some embodiments, "the first model completes a prediction each time" can be replaced by or include that the first model completes the predicted measurement of the last predicted measurement period within a PW each time.

[0105] The sliding distance herein can be understood as a sliding distance in time domain. In some embodiments, "sliding distance" can be replaced by or include a moving distance, a sliding time span, or a moving time span.

[0106] In some embodiments, "the sliding distance of the PW" can be replaced by or include the sliding distance of the OW. In some other embodiments, "the sliding distance of the PW" can be replaced by or include the sliding distance of the OW and the PW.

[0107] The fifth parameter can be used to indicate the sliding distance of the PW after the first model completes a prediction each time. The fifth parameter can indicate the sliding distance of the PW after the first model completes a prediction each time in various ways. Two possible implementation manners are given in the embodiments of the present application.

[0108] In implementation manner one, the fifth parameter can indicate the sliding distance of the PW based on a time interval. The time interval herein is the aforementioned first mode. "The fifth parameter indicates the sliding distance of the PW based on a time interval" can be understood as that the fifth parameter is used to indicate the number of time intervals that the PW slides forward after the first model completes a prediction each time. In implementation manner one, the PW can slide forward an integer multiple of the time interval after the first model completes a prediction each time. Optionally, in some embodiments, the value of the fifth parameter can be equal to the number of time intervals that the PW slides forward after the first model completes a prediction each time. FIG. 9 to FIG. 11 are schematic diagrams of indicating the sliding distance of the PW based on a time interval. Implementation manner one will be described in detail below in combination with FIG. 9 to FIG. 11.

[0109] Referring to FIG. 9, in FIG. 9, the first mode contains 2 measurement periods, one of which is a real measurement period and the other of which is a predicted measurement period or a skipped measurement period. The OW contains 3 first modes and the PW contains 2 first modes. Therefore, the values of the first parameter to the fourth parameter are M=2, N=1, K=3, and L=2 respectively. The PW slides forward 1 time interval after the first model completes a prediction each time. Therefore, the value of the fifth parameter P=1.

[0110] Referring to FIG. 10, in FIG. 10, the first pattern contains 2 measurement periods, one of which is a real measurement period, and the other is a predicted measurement period or a skipped measurement period. OW contains 3 first patterns, and PW contains 2 first patterns. Therefore, the values of the first parameter to the fourth parameter are M=2, N=1, K=3, and L=2, respectively. After the first model completes a prediction, PW is slid forward by 2 of the above time intervals. Therefore, the value of the fifth parameter is P=2.

[0111] Referring to FIG. 11, in FIG. 11, the first pattern contains 2 measurement periods, one of which is a real measurement period, and the other is a predicted measurement period or a skipped measurement period. OW contains 3 first patterns, and PW contains 1 first pattern. Therefore, the values of the first parameter to the fourth parameter are M=2, N=1, K=3, and L=1, respectively. After the first model completes a prediction, PW is slid forward by 1 of the above time intervals. Therefore, the value of the fifth parameter is P=1.

[0112] In implementation mode two, the fifth parameter can be based on the sliding distance of the measurement period indication PW. The "fifth parameter based on the sliding distance of the measurement period indication PW" can be understood as: the fifth parameter is used to indicate the number of measurement periods that PW is slid forward after the first model completes a prediction. In implementation mode two, after the first model completes a prediction, PW can be slid forward by an integer multiple of the measurement period. Optionally, in some embodiments, the value of the fifth parameter can be equal to the number of measurement periods that PW is slid forward after the first model completes a prediction. FIG. 12 is a schematic diagram of indicating the sliding distance of PW based on the measurement period. Implementation mode two will be introduced below in combination with FIG. 12.

[0113] Referring to FIG. 12, in FIG. 12, the first pattern contains 5 measurement periods, 3 of which are real measurement periods, and 2 of which are predicted measurement periods. OW contains 1 first pattern, and PW also contains 1 first pattern. Therefore, the values of the first parameter to the fourth parameter are M=5, N=3, K=L=1, respectively. After the first model completes a prediction, PW is slid forward by 2 measurement periods. Therefore, the value of the fifth parameter is P=2.

[0114] Compared with implementation mode one, in implementation mode two, PW can be slid at a smaller granularity (unit).

[0115] The above introduces two implementation manners of the fifth parameter indicating the sliding distance of the PW. The embodiments of the present application do not make specific limitation on the condition of using the implementation manner one / implementation manner two. It can be preset that the fifth parameter uses the implementation manner one or the implementation manner two to indicate the sliding distance of the PW. Alternatively, it can also be determined based on the values of the third parameter and / or the fourth parameter that the fifth parameter uses the implementation manner one or the implementation manner two to indicate the sliding distance of the PW.

[0116] Alternatively, in some embodiments, if the values of the third parameter and the fourth parameter are both 1, the fifth parameter uses the above implementation manner two to indicate the sliding distance of the PW. That is, if the values of the third parameter and the fourth parameter are both 1, the fifth parameter is used to indicate the number of measurement periods that the PW slides forward after the first model completes a prediction. The values of the third parameter and the fourth parameter being both 1 can be understood as that the OW and the PW contain the same first mode, the OW contains the measured measurement period in the first mode, and the PW contains the predicted measurement period in the first mode. Alternatively, the values of the third parameter and the fourth parameter being both 1 can be understood as that the OW and the PW share one first mode, the measured measurement period in the first mode belongs to the OW, and the predicted measurement period in the first mode belongs to the PW. In this case, sliding the PW forward in the unit of measurement period can make the distance that the PW slides forward after the first model completes a prediction not greater than the length of the OW and not greater than the length of the PW, so that the measurement result of each predicted measurement period in the PW can be predicted. Still taking FIG. 12 as an example. In FIG. 12, the OW and the PW contain the same first mode, the measured measurement period in the first mode belongs to the OW, and the predicted measurement period in the first mode belongs to the PW. Therefore, the values of the third parameter K and the fourth parameter L are both 1. After the first model completes a prediction, the PW slides forward by 2 measurement periods.

[0117] Optionally, in some embodiments, if at least one of the values of the third parameter and the fourth parameter is not 1, the fifth parameter indicates the sliding distance of the PW according to the first implementation. That is, if at least one of the values of the third parameter and the fourth parameter is not 1, the fifth parameter is used to indicate the number of time intervals in which the PW slides forward after the first model completes a prediction once. At least one of the values of the third parameter and the fourth parameter is not 1 can be understood as: the OW (or the PW) includes all the first patterns that belong to the OW (or the PW) in addition to the first pattern common to the PW (or the OW). Alternatively, at least one of the values of the third parameter and the fourth parameter is not 1 can be understood as: at least one of the OW or the PW includes a complete first pattern. Alternatively, at least one of the values of the third parameter and the fourth parameter is not 1 can also be understood as: at least one of the OW or the PW includes a complete first pattern. In this case, sliding the PW forward by the above-mentioned time intervals can reduce the amount of calculation. Still referring to FIGS. 9-11, at least one of the values of the third parameter and the fourth parameter is not 1. After the first model completes a prediction once, the PW slides forward by one or more of the above-mentioned time intervals.

[0118] As mentioned above, the fifth parameter is used to indicate the number of measurement periods or the number of time intervals in which the PW slides forward after the first model completes a prediction once. When the value of the fifth parameter is equal to the number of measurement periods or the number of time intervals in which the PW slides forward, since the distance that the PW slides forward is an integer multiple of the measurement period or the above-mentioned time interval, the value of the fifth parameter is greater than or equal to 1.

[0119] Optionally, in some embodiments, the value of the fifth parameter is less than or equal to the value of the second parameter. When the value of the fifth parameter is equal to the number of measurement periods in which the PW slides forward and the value of the second parameter is equal to the number of actual measurement periods included in the first pattern, the value of the fifth parameter being less than or equal to the value of the second parameter can be understood as: the number of measurement periods in which the PW slides forward is less than or equal to the number of actual measurement periods included in the first pattern. In this way, the predicted measurement result can always be obtained based on the actual measurement result, thereby making the accuracy of the predicted measurement result relatively high. Still taking FIG. 12 as an example, in FIG. 12, the first pattern includes 3 actual measurement periods, the PW slides forward by 2 measurement periods, and the value of the fifth parameter 2 is less than the value of the second parameter 3. The predicted measurement result in the PW can always be obtained based on the actual measurement result in the OW.

[0120] In step S610, the terminal device determines the predicted measurement result according to one or more of the first parameter, the second parameter, the third parameter, the fourth parameter, and the fifth parameter. The above describes how these parameters indicate relevant information, and the following describes how to determine the values of these parameters.

[0121] The first parameter can be determined in various manners, which are not limited in the embodiments of the present application. In some embodiments, the first parameter can be determined based on configuration information of the network device. The configuration information of the network device can be replaced by configuration message of the network device. The network device can send the configuration information to the terminal device, and the configuration information can include the first parameter. The terminal device can receive the configuration information sent by the network device, and determine the first parameter based on the configuration information. Alternatively, in some other embodiments, the first parameter can be determined based on pre-configuration information and / or protocol pre-defined information.

[0122] The second parameter can also be determined in various manners, which are not limited in the embodiments of the present application. In some embodiments, the second parameter can be determined based on configuration information of the network device. The configuration information of the network device can be replaced by configuration message of the network device. The network device can send the configuration information to the terminal device, and the configuration information can include the value of the second parameter. The terminal device can receive the configuration information sent by the network device, and determine the value of the second parameter based on the configuration information. Alternatively, in some other embodiments, the second parameter can be determined based on pre-configuration information and / or protocol pre-defined information.

[0123] As a more specific example, the terminal device is a UE. The network device can send configuration information to the terminal device, and the configuration information includes the value M of the first parameter and the value N of the second parameter. The UE receives the configuration information sent by the network device, and determines the value M of the first parameter and the value N of the second parameter based on the configuration information.

[0124] The third parameter can be determined based on one or more of the configuration information of the network device, the pre-configuration information, and the protocol pre-defined information. The configuration information of the network device can be replaced by configuration message of the network device. The network device can send the configuration information to the terminal device, and the configuration information can include the value of the third parameter. The terminal device can receive the configuration information sent by the network device, and determine the value of the third parameter based on the configuration information.

[0125] The embodiments of the present application do not limit the value of the third parameter.

[0126] In some implementations, the value of the third parameter can be 1. The value of the third parameter can be set to 1 through one or more of the configuration information of the network device, the pre-configuration information, and the protocol pre-defined information. For example, the network device can send the configuration information to the terminal device, and the configuration information includes the value 1 of the third parameter. The terminal device can receive the configuration information sent by the network device, and determine the value of the third parameter to be 1 based on the configuration information.

[0127] In some embodiments, the third parameter can be set to 1 if the configuration information of the network device does not contain the third parameter. In some embodiments, the third parameter can be set to 1 if the configuration information of the network device does not contain the third parameter, and the default value of the third parameter is 1. In some embodiments, the third parameter can be set to 1 if the configuration information of the network device does not contain the third parameter, and the default value of the third parameter is 1. For example, the network device sends the configuration information to the terminal device, and the configuration information contains the value M of the first parameter and the value N of the second parameter, but does not contain the value K of the third parameter. In this case, the default value of the third parameter is 1.

[0128] The fourth parameter can be determined based on one or more of the configuration information of the network device, the pre-configuration information, and the protocol pre-defined information. The configuration information of the network device can be replaced by the configuration message of the network device. The network device can send the configuration information to the terminal device, and the configuration information can contain the value of the fourth parameter. The terminal device can receive the configuration information sent by the network device, and determine the value of the fourth parameter based on the configuration information.

[0129] The value of the fourth parameter is not limited in the embodiments of the present application.

[0130] In some embodiments, the value of the fourth parameter can be 1. The value of the fourth parameter can be set to 1 by one or more of the configuration information of the network device, the pre-configuration information, and the protocol pre-defined information. For example, the network device can send the configuration information to the terminal device, and the configuration information contains the value 1 of the fourth parameter. The terminal device can receive the configuration information sent by the network device, and determine the value of the fourth parameter to be 1 based on the configuration information.

[0131] In some embodiments, the fourth parameter can be set as 1 if the configuration information of the network device does not contain the fourth parameter. In some embodiments, the fourth parameter can be set as 1 if the configuration information of the network device does not contain the fourth parameter can be replaced by: the fourth parameter can be set as 1 by default if the configuration information of the network device does not contain the fourth parameter. In some embodiments, the fourth parameter can be set as 1 by default if the configuration information of the network device does not contain the fourth parameter can be replaced by: the fourth parameter can be set as 1 by default if the configuration information of the network device does not contain the fourth parameter. For example, the network device sends the configuration information to the terminal device, and the configuration information contains the value M of the first parameter, the value N of the second parameter, and the value K of the third parameter, but does not contain the value L of the fourth parameter and the value P of the fifth parameter. In this case, the default value of the fourth parameter is L = 1. For another example, the network device sends the configuration information to the terminal device, and the configuration information contains the value M of the first parameter, the value N of the second parameter, and the value K of the third parameter, but does not contain the value L of the fourth parameter and the value P of the fifth parameter. In this case, the default value of the fourth parameter is L = 1.

[0132] The fifth parameter can be determined based on one or more of the configuration information of the network device, the pre-configuration information, and the protocol pre-defined information. The configuration information of the network device can be replaced by the configuration message of the network device. The network device can send the configuration information to the terminal device, and the configuration information can contain the value of the fifth parameter. The terminal device can receive the configuration information sent by the network device, and determine the value of the fifth parameter based on the configuration information.

[0133] In the above description, the pre-configuration information can be information pre-stored in the device (e.g., the terminal device and the network device). For example, the pre-configuration information can be pre-stored in the chip of the terminal device, and the terminal device can determine the value of the relevant parameter according to the pre-configuration information stored in the chip. The protocol pre-defined information can be a relevant protocol in the standard protocol in the communication field. For example, the relevant parameter can be defined in the relevant protocol applied to the future communication system. The terminal device can determine the value of the relevant parameter according to the definition in the protocol.

[0134] As mentioned above, there can be multiple implementation manners of the fifth parameter indicating the sliding distance of the PW. In different implementation manners, the value of the fifth parameter is different. The following describes the value of the fifth parameter when the fifth parameter is used to indicate the number of time intervals in which the PW slides forward after the first model completes a prediction (corresponding to the first implementation manner mentioned above).

[0135] Optionally, in some embodiments, when the fifth parameter is used to indicate the number of time intervals that PW slides forward after each prediction of the first model is completed, the fifth parameter has a value of 1. In this case, the value of the fifth parameter can be independent of the values of the other parameters. That is, the value of the fifth parameter can be determined as 1 regardless of the values of the other parameters. The value of the fifth parameter can be set to 1 by one or more of the configuration information of the network device, pre-configuration information, and protocol pre-definition information. For example, when the configuration information of the network device includes the value M of the first parameter and the value N of the second parameter, but does not include the value K of the third parameter, the value L of the fourth parameter, and the value P of the fifth parameter, the default value of the fifth parameter is P = 1. For another example, when the configuration information of the network device includes the value M of the first parameter, the value N of the second parameter, and the value K of the third parameter, but does not include the value L of the fourth parameter and the value P of the fifth parameter, the default value of the fifth parameter is P = 1. This value setting mode is relatively simple to implement, and can improve the prediction accuracy to some extent. Referring to FIG. 9, the value of the fifth parameter is P = 1 in FIG. 9. That is, PW slides forward by 1 time interval after each prediction of the first model is completed. As can be seen from FIG. 9, the measurement result in each prediction measurement period in PW is predicted twice, which improves the prediction accuracy to some extent.

[0136] Optionally, in some other embodiments, when the fifth parameter is used to indicate the number of time intervals that PW slides forward after each prediction of the first model is completed, the value of the fifth parameter can be the smaller one of the value of the third parameter and the value of the fourth parameter. The value of the fifth parameter can be set to the smaller one of the value of the third parameter and the value of the fourth parameter by one or more of the configuration information of the network device, pre-configuration information, and protocol pre-definition information. For example, if the configuration information of the network device includes the value M of the first parameter, the value N of the second parameter, the value K of the third parameter, and the value L of the fourth parameter, the default value of the fifth parameter is P = min(K, L). With this value setting mode, the prediction measurement result in each prediction measurement period in PW is predicted only once, thereby reducing the amount of calculation. This will be described in detail below in combination with FIG. 10 and FIG. 11.

[0137] Referring to FIG. 10, in FIG. 10, the third parameter has a value of K = 3, the fourth parameter has a value of L = 2, and the fifth parameter has a value of P = 2, which is the smaller value between K and L. FIG. 10 is compared with FIG. 9, and M, N, K, and L in FIG. 10 correspond to M, N, K, and L in FIG. 9, respectively. The difference between FIG. 10 and FIG. 9 is that P = 2 in FIG. 10 and P = 1 in FIG. 9. As can be seen from FIG. 10, the prediction measurement result in each prediction measurement period in the two prediction measurement periods in PW is predicted only once, while the prediction measurement result in each prediction measurement period in the two prediction measurement periods in PW in FIG. 9 is predicted twice. Therefore, the calculation amount in FIG. 10 is reduced by half compared with the calculation amount in FIG. 9.

[0138] Referring to FIG. 11, in FIG. 11, the third parameter has a value of K = 3, the fourth parameter has a value of L = 1, and the fifth parameter has a value of P = 1, which is the smaller value between K and L. As can be seen from FIG. 11, the prediction measurement result in the prediction measurement period in PW is predicted only once.

[0139] The above describes the value of the third parameter and the value of the fourth parameter, respectively. The value of the third parameter can be independent of the value of the fourth parameter. Alternatively, the value of the third parameter can be related to the value of the fourth parameter.

[0140] Optionally, in some embodiments, the value of the third parameter is greater than or equal to the value of the fourth parameter. Through such a value mode, the first model can be caused to predict the prediction measurement period in PW at most once.

[0141] As can be seen from the above description, the network device can send configuration information to the terminal device, and the terminal device can determine the value of the one or more parameters according to the configuration information. Optionally, in some embodiments, after receiving the configuration information sent by the network device, the terminal device can also determine the prediction measurement accuracy based on the value of the one or more parameters, and report the prediction measurement accuracy to the network device.

[0142] It is mentioned above that the first mode can be a time domain basic mode or a frequency domain basic mode. FIG. 13 is an example diagram of the frequency domain basic mode.

[0143] When the first mode is the frequency domain basic mode, the actual measurement period in the first mode can correspond to a first frequency, and the prediction measurement period in the first mode can correspond to a second frequency. The actual measurement period in the first mode can constitute an OW, and the prediction measurement period in the first mode can constitute a PW. That is, the OW can include one or more actual measurement periods, and the PW can include one or more prediction measurement periods.

[0144] The "actual measurement period in the first mode corresponds to the first frequency, and the predicted measurement period in the first mode corresponds to the second frequency" can be replaced by: the actual measurement result in the first mode corresponds to the first frequency, and the predicted measurement result in the first mode corresponds to the second frequency. The predicted measurement result on the second frequency can be determined based on the actual measurement result on the first frequency. The "determining the predicted measurement result on the second frequency based on the actual measurement result on the first frequency" can be replaced by: predicting the measurement result on the second frequency based on the measurement result on the first frequency. Alternatively, the "determining the predicted measurement result on the second frequency based on the actual measurement result on the first frequency" can also be replaced by: predicting the measurement result in the PW based on the measurement result in the OW. Referring to FIG. 13, the frequency domain basic mode in FIG. 13 includes 3 actual measurement periods and 1 predicted measurement period. The 3 actual measurement periods constitute the OW, and the 1 predicted measurement period constitutes the PW. The 3 actual measurement periods correspond to the first frequency, and the 1 predicted measurement period corresponds to the second frequency. The 1 measurement result in the PW can be predicted based on the 3 measurement results in the OW.

[0145] When the first mode is the frequency domain basic mode, the actual measurement period in the first mode can overlap with the predicted measurement period in the first mode in the time domain. The measurement period that overlaps in the actual measurement period and the predicted measurement period can be referred to as a current measurement period. The measurement period (or the measurement period before the current measurement period) other than the current measurement period in the OW can be referred to as a historical measurement period. If one measurement period in the actual measurement period overlaps with one measurement period in the predicted measurement period, the current measurement period is one. If multiple measurement periods in the actual measurement period overlap with multiple measurement periods in the predicted measurement period, the current measurement period is multiple. The "predicting the measurement result on the second frequency based on the measurement result on the first frequency" can include or be replaced by: predicting the measurement result of the current one (or multiple) measurement period on the second frequency based on the measurement result of the current one (or multiple) measurement period and the historical measurement period on the first frequency. Still referring to FIG. 13, in FIG. 13, the last measurement period in the OW overlaps with one measurement period in the PW in the time domain. The first two measurement periods in the OW can be referred to as the historical measurement periods, and the last measurement period in the OW and the measurement period in the PW can be referred to as the current measurement period. The measurement result of the current one measurement period on the second frequency can be predicted based on the measurement result of the current one measurement period and the two historical measurement periods on the first frequency.

[0146] As described above, the PW can include one or more predicted measurement periods. That is, the number of measurement periods in the PW is greater than or equal to 1.

[0147] Optionally, in some embodiments, the number of measurement periods included in the PW can be less than or equal to the number of measurement periods included in the OW. The "number of measurement periods included in the PW is less than or equal to the number of measurement periods included in the OW" can be replaced by: the number of measurement results included in the PW is less than or equal to the number of measurement results included in the OW. Or, the "number of measurement periods included in the PW is less than or equal to the number of measurement periods included in the OW" can be replaced by: the number of predicted measurement periods included in the PW is less than or equal to the number of actually measured measurement periods included in the OW. Or, the "number of measurement periods included in the PW is less than or equal to the number of measurement periods included in the OW" can be replaced by: the number of predicted measurement results included in the PW is less than or equal to the number of actually measured measurement results included in the OW.

[0148] As mentioned above, the PW can slide forward after each prediction by the first model.

[0149] Optionally, in some embodiments, when the first mode is the frequency domain basic mode, the sliding distance of the PW after each prediction by the first model can be equal to the time length of the PW. Optionally, in other embodiments, when the first mode is the frequency domain basic mode, the sliding distance of the PW after each prediction by the first model can be less than the time length of the PW. When the sliding distance of the PW is less than the time length of the PW, some of the predicted measurement periods can be predicted repeatedly. The descriptions above about the "sliding distance of the PW" and the "time length of the PW" are also applicable here. FIG. 14 is an example diagram of the sliding manner of the PW. Referring to FIG. 14, the OW includes 4 measurement periods, corresponding to the first frequency. The PW includes 2 measurement periods, corresponding to the second frequency. At time t0, a prediction at the second frequency is completed. Then, the PW and the OW slide forward by 2 measurement periods, and at time t1, the prediction at the second frequency is completed again.

[0150] Optionally, in some embodiments, when the first mode is the frequency domain basic mode, after each prediction by the first model, the terminal device can further actually measure one or more measurement results at the first frequency, for the next prediction at the second frequency. Referring to FIG. 14 again, after the prediction at the second frequency is completed at time t0, 2 measurement results are actually measured at the first frequency. Then, the PW and the OW move forward, and at time t1, the next prediction at the second frequency is completed.

[0151] As mentioned above, at step S610, the terminal device determines the predicted measurement result according to the parameters of the first model. The parameters of the first model can include one or more of the first parameter, the second parameter, the third parameter, the fourth parameter, and the fifth parameter.

[0152] When the first mode is a frequency domain basic mode, the terminal device can determine the predicted measurement result according to the first parameter, the second parameter, and the fifth parameter. Optionally, in some embodiments, the values of the first parameter, the second parameter, and the fifth parameter satisfy: M >= N >= P >= 1.

[0153] [Corrected according to Rule 91 on 21.10.2024] The method embodiments of the present application are described in detail above in combination with FIGS. 6-14. The device embodiments of the present application are described in detail below in combination with FIGS. 15-17. It should be understood that the description of the method embodiments corresponds to the description of the device embodiments, and therefore, the parts not described in detail can be referred to the foregoing method embodiments.

[0154] FIG. 15 is a structural schematic diagram of a communication device 1500 provided by an embodiment of the present application. The communication device 1500 shown in FIG. 15 is a terminal device. The communication device 1500 includes a determination module 1510. The determination module 1510 is configured to determine a predicted measurement result according to one or more of the following parameters of a first model: a first parameter, used to indicate a number of measurement periods contained in a first mode, the first mode corresponding to a time interval in a time domain, and the first mode including one or more actual measurement periods and one or more predicted measurement periods; a second parameter, used to indicate a number of actual measurement periods contained in the first mode; a third parameter, used to indicate a number of the first modes contained in an OW of the first model; a fourth parameter, used to indicate a number of the first modes contained in a PW of the first model; and a fifth parameter, used to indicate a sliding distance of the PW after the first model completes a prediction each time.

[0155] FIG. 16 is a structural schematic diagram of a communication device 1600 provided by an embodiment of the present application. The communication device 1600 shown in FIG. 16 is a network device. The communication device 1600 includes a sending module 1610. The sending module 1610 is configured to send, to a terminal device, one or more of the following parameters of a first model: a first parameter, used to indicate a number of measurement periods contained in a first mode, the first mode corresponding to a time interval in a time domain, and the first mode including one or more actual measurement periods and one or more predicted measurement periods; a second parameter, used to indicate a number of actual measurement periods contained in the first mode; a third parameter, used to indicate a number of the first modes contained in an OW of the first model; a fourth parameter, used to indicate a number of the first modes contained in a PW of the first model; and a fifth parameter, used to indicate a sliding distance of the PW after the first model completes a prediction each time.

[0156] FIG. 17 is a schematic structural diagram of an apparatus to which embodiments of the present application can be applied. The dashed line in FIG. 17 indicates that the unit or module is optional. The apparatus 1700 can be used to implement the methods described in the above method embodiments. The apparatus 1700 can be a chip, a terminal device, or a network device.

[0157] The apparatus 1700 can include one or more processors 1710. The processor 1710 can support the apparatus 1700 to implement the methods described in the preceding method embodiments. The processor 1710 can be a general purpose processor or a dedicated processor. For example, the processor can be a central processing unit (CPU). Alternatively, the processor can also be other general purpose processors, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic, discrete hardware components, etc. The general purpose processor can be a microprocessor or the processor can also be any conventional processor.

[0158] The apparatus 1700 can also include one or more memories 1720. The memory 1720 stores a program that can be executed by the processor 1710, so that the processor 1710 performs the methods described in the preceding method embodiments. The memory 1720 can be independent of the processor 1710 or integrated in the processor 1710.

[0159] The apparatus 1700 can also include a transceiver 1730. The processor 1710 can communicate with other devices or chips through the transceiver 1730. For example, the processor 1710 can perform data transceiving with other devices or chips through the transceiver 1730.

[0160] Embodiments of the present application also provide a computer readable storage medium for storing a program. The computer readable storage medium can be applied in the communication device provided by the embodiments of the present application, and the program causes the computer to execute the method performed by the communication device in the various embodiments of the present application.

[0161] Embodiments of the present application also provide a computer program product. The computer program product includes a program. The computer program product can be applied in the communication device provided by the embodiments of the present application, and the program causes the computer to execute the method performed by the communication device in the various embodiments of the present application.

[0162] The embodiment of the application further provides a computer program. The computer program can be applied to the communication device provided by the embodiment of the application, and the computer program enables a computer to execute the method performed by the communication device in the embodiments of the application.

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

[0164] In the embodiments of the present application, the "indication" mentioned can be direct indication, or indirect indication, or can be an indication of an associated relationship. For example, A indicates B, which can mean that B can be obtained directly through A; or it can mean that A indirectly indicates B, for example, A indicates C, and B can be obtained through C; or it can mean that A and B have an associated relationship.

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

[0166] In the embodiments of the present application, the term "corresponding" can mean that there is a direct or indirect corresponding relationship between the two, or it can mean that there is an associated relationship between the two, or it can mean an indication and being indicated, configuration and being configured, and the like.

[0167] In the embodiments of the present application, "predefined" or "preconfigured" can be realized by pre-saving corresponding codes, tables or other means for indicating related information in devices (for example, including terminal devices and network devices), and the present application does not limit the specific implementation manner. For example, predefinition can mean definition in a protocol.

[0168] In the embodiments of the present application, the "protocol" can refer to a standard protocol in the communication field, for example, it can include the LTE protocol, the NR protocol and the related protocol applied to the future communication system, and the present application does not limit this.

[0169] In the embodiments of the present application, the term "and / or" is only a description of the associated relationship between the associated objects, which means that there can be three relationships, for example, A and / or B, which can mean that A exists alone, A and B exist together, and B exists alone. In addition, the character " / " in this paper generally means that the front and rear associated objects have an "or" relationship.

[0170] The sequence of the above processes does not mean the execution sequence in various embodiments of the present application. The execution sequence of the processes should be determined according to the functions and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0171] In several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other manners. For example, the embodiments of the device described above are merely schematic; for example, the division of the units is only a logical function division; there can be another division manner in actual implementation; for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual couplings or direct couplings or communication connections between the units can be indirect couplings or communication connections through some interfaces, devices or units, and can be electric, mechanical or in other forms.

[0172] The units described as separated components can or can not be physically separated, and the components displayed as units can or can not be physical units; that is, they can be located in one place, or also can be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purposes of the embodiments of the present application.

[0173] In addition, each functional unit in the embodiments of the present application can be integrated in a processing unit, or each unit can exist physically as a separate unit, or two or more units can be integrated in one unit.

[0174] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware or any combination thereof. When implemented by software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of the present application are generated. The computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) mode. The computer readable storage medium can be any available medium that can be read by a computer or a data storage device such as a server, data center and the like integrated with one or more available media sets. The available media can be magnetic media (for example, floppy disk, hard disk, magnetic tape), optical media (for example, digital video disc (DVD)) or semiconductor media (for example, solid state disk (SSD)) and the like.

[0175] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A communication method characterized by comprising: The method comprises the following steps of: The terminal device determines a predicted measurement result according to one or more of the following parameters of a first model; A first parameter is used to indicate a number of measurement periods contained in a first mode, the first mode corresponds to a time interval in a time domain, and the first mode comprises one or more actual measurement periods and one or more predicted measurement periods; A second parameter is used to indicate a number of actual measurement periods contained in the first mode; A third parameter is used to indicate a number of the first modes contained in an observation window OW of the first model; A fourth parameter is used to indicate a number of the first modes contained in a prediction window PW of the first model; A fifth parameter is used to indicate a sliding distance of the PW after the first model completes a prediction each time.

2. The method of claim 1, wherein, The predicted measurement periods in the first mode are all located after the actual measurement periods in the first mode in the time domain.

3. The method according to claim 1 or 2, characterized in that, The length of the OW is determined based on one or more of the following parameters: the first parameter, the second parameter, and the third parameter.

4. The method of claim 3, wherein, The length of the OW satisfies M*(K-1)+N, where M represents a value of the first parameter, N represents a value of the second parameter, and K represents a value of the third parameter.

5. The method according to any one of claims 1 to 4, characterized in that, The length of the PW is determined based on one or more of the following parameters: the first parameter, the second parameter, and the fourth parameter.

6. The method of claim 5, wherein, The length of the PW satisfies M*(L-1)+M-N, where M represents a value of the first parameter, N represents a value of the second parameter, and L represents a value of the fourth parameter.

7. The method of any one of claims 1 to 6, wherein: The fifth parameter is used to indicate a number of time intervals in which the PW slides forward after the first model completes a prediction each time; or The fifth parameter is used to indicate a number of measurement periods in which the PW slides forward after the first model completes a prediction each time.

8. The method of claim 7, wherein: If values of the third parameter and the fourth parameter are both 1, the fifth parameter is used to indicate a number of measurement periods in which the PW slides forward after the first model completes a prediction each time.

9. The method according to claim 7 or 8, characterized in that, A value of the fifth parameter is greater than or equal to 1, and the value of the fifth parameter is less than or equal to a value of the second parameter.

10. The method of any one of claims 1 to 9, wherein: The first parameter is determined based on configuration information of a network device; and / or The second parameter is determined based on the configuration information of the network device.

11. The method according to any one of claims 1 to 10, characterized in that, The third parameter is determined based on one or more of the following: the configuration information of the network device, pre-configuration information, and protocol pre-defined information.

12. The method of any one of claims 1 to 11, wherein: The value of the third parameter is 1; or If the configuration information of the network device does not contain the third parameter, the value of the third parameter is 1.

13. The method according to any one of claims 1 to 12, characterized in that, The fourth parameter is determined based on one or more of the following: the configuration information of the network device, pre-configuration information, and protocol pre-defined information.

14. The method of any of claims 1-13, wherein: the fourth parameter is set to 1; or, the fourth parameter is set to 1 if the configuration information of the network device does not contain the fourth parameter. The fifth parameter is determined based on one or more of the following: the configuration information of the network device, pre-configuration information, protocol pre-defined information.

15. The method of any one of claim 14, wherein, 16. The method of any of claims 1-15, wherein: the fifth parameter is set to 1; or, the fifth parameter is set to the smaller one of the value of the third parameter and the value of the fourth parameter. The value of the third parameter is greater than or equal to the value of the fourth parameter. The actual measurement period in the first mode corresponds to a first frequency, and the predicted measurement period in the first mode corresponds to a second frequency.

17. The method of any one of claims 1 to 16, wherein, The actual measurement period in the first mode overlaps in time domain with the predicted measurement period in the first mode.

18. The method of claim 1, wherein, The number of measurement periods in the PW is greater than or equal to 1; and / or, the number of measurement periods in the PW is less than or equal to the number of measurement periods contained in the OW.

19. The method of claim 18, wherein, The sliding distance of the OW after each prediction of the first model is less than or equal to the time length of the OW.

20. The method of claim 18 or 19, wherein, One measurement period is used to output one measurement result, and the one measurement result is a cell-level measurement result, a beam-level measurement result, a layer 1 measurement result, or a layer 3 measurement result.

21. The method of any one of claims 18-20, wherein, comprising:

22. The method of any one of claims 1 to 21, wherein, The network device sends one or more of the following parameters of the first model to the terminal device:

23. A method of communication, comprising: a first parameter, used to indicate the number of measurement periods contained in the first mode, the first mode corresponding to a time interval in time domain, and the first mode including one or more actual measurement periods and one or more predicted measurement periods; a second parameter, used to indicate the number of actual measurement periods contained in the first mode; a third parameter, used to indicate the number of first modes contained in the observation window (OW) of the first model; a fourth parameter, used to indicate the number of first modes contained in the prediction window (PW) of the first model; a fifth parameter, used to indicate the sliding distance of the PW after each prediction of the first model. The predicted measurement periods in the first mode are all located after the actual measurement periods in the first mode in time domain. The length of the OW is determined based on one or more of the following parameters: the first parameter, the second parameter, the third parameter.

24. The method of claim 23, wherein, The length of the OW satisfies: M*(K-1)+N, where M represents the value of the first parameter, N represents the value of the second parameter, and K represents the value of the third parameter.

25. The method of claim 23 or 24, wherein, The length of the PW is determined based on one or more of the following parameters: the first parameter, the second parameter, the fourth parameter.

26. The method of claim 25, wherein, The length of the PW satisfies: M*(L-1)+M-N, where M represents the value of the first parameter, N represents the value of the second parameter, and L represents the value of the fourth parameter.

27. The method of any one of claims 23-26, wherein, 29. The method of any of claims 23-28, wherein:

28. The method of claim 27, wherein, ​ ​ The fifth parameter is used to indicate the number of time intervals that the prediction window slides forward after the first model completes a prediction each time. The fifth parameter is used to indicate the number of measurement periods that the prediction window slides forward after the first model completes a prediction each time.

30. The method of claim 29, wherein: If the third parameter and the fourth parameter are both 1, the fifth parameter is used to indicate the number of measurement periods that the prediction window slides forward after the first model completes a prediction each time.

31. The method of claim 29 or 30, wherein, The value of the fifth parameter is greater than or equal to 1, and the value of the fifth parameter is less than or equal to the value of the second parameter.

32. The method of any one of claims 23-31, wherein: The first parameter is determined based on configuration information of the network device; and / or, The second parameter is determined based on configuration information of the network device.

33. The method of any one of claims 23-32, wherein, The third parameter is determined based on one or more of configuration information of the network device, pre-configuration information, and protocol pre-defined information.

34. The method of any one of claims 23-33, wherein: The value of the third parameter is 1; or, If the configuration information of the network device does not contain the third parameter, the value of the third parameter is 1.

35. The method of any one of claims 23-34, wherein, The fourth parameter is determined based on one or more of configuration information of the network device, pre-configuration information, and protocol pre-defined information.

36. The method of any one of claims 23-35, wherein: The value of the fourth parameter is 1; or, If the configuration information of the network device does not contain the fourth parameter, the value of the fourth parameter is 1.

37. The method of any one of claim 36, wherein, The fifth parameter is determined based on one or more of configuration information of the network device, pre-configuration information, and protocol pre-defined information.

38. The method of any one of claims 23-37, wherein: The value of the fifth parameter is 1; or, The value of the fifth parameter is the smaller one of the value of the third parameter and the value of the fourth parameter.

39. The method of any one of claims 23-38, wherein, The value of the third parameter is greater than or equal to the value of the fourth parameter.

40. The method of claim 23, wherein, The actual measurement period in the first mode corresponds to a first frequency, and the predicted measurement period in the first mode corresponds to a second frequency.

41. The method of claim 40, wherein, The actual measurement period in the first mode overlaps with the predicted measurement period in the first mode in the time domain.

42. The method of claim 40 or 41, wherein, The number of measurement periods in the prediction window is greater than or equal to 1; and / or, the number of measurement periods in the prediction window is less than or equal to the number of measurement periods contained in the OW.

43. The method of any one of claims 40-42, wherein, The sliding distance of the OW after the first model completes a prediction each time is less than or equal to the time length of the OW.

44. The method of any one of claims 23-43, wherein, One of the measurement periods is used to output one measurement result, and the one measurement result is a cell-level measurement result, a beam-level measurement result, a layer 1 measurement result, or a layer 3 measurement result.

45. A communications device, characterized by The communication device is a terminal device, and the terminal device includes: A determination module configured to determine a predicted measurement result according to one or more of the following parameters of the first model: a first parameter, used to indicate a number of measurement periods contained in a first mode, the first mode corresponding to a time interval in time domain, and the first mode including one or more real measurement periods and one or more predicted measurement periods; a second parameter, used to indicate a number of real measurement periods contained in the first mode; a third parameter, used to indicate a number of the first modes contained in an observation window OW of the first model; a fourth parameter, used to indicate a number of the first modes contained in a prediction window PW of the first model; a fifth parameter, used to indicate a sliding distance of the PW after the first model completes a prediction each time.

46. The apparatus of claim 45, wherein, The predicted measurement periods in the first mode are all located after the real measurement periods in the first mode in time domain.

47. The apparatus of claim 45 or 46, wherein, A length of the OW is determined based on one or more of the following parameters: the first parameter, the second parameter, the third parameter.

48. The apparatus of claim 47, wherein, The length of the OW satisfies: M*(K-1)+N, where M represents a value of the first parameter, N represents a value of the second parameter, and K represents a value of the third parameter.

49. The apparatus of any one of claims 45-48, wherein, A length of the PW is determined based on one or more of the following parameters: the first parameter, the second parameter, the fourth parameter.

50. The apparatus of claim 49, wherein, The length of the PW satisfies: M*(L-1)+M-N, where M represents a value of the first parameter, N represents a value of the second parameter, and L represents a value of the fourth parameter.

51. The device of any one of claims 45-50, wherein: the fifth parameter is used to indicate a number of measurement periods that the PW slides forward after the first model completes a prediction each time; or the fifth parameter is used to indicate a number of time intervals that the PW slides forward after the first model completes a prediction each time.

52. The device of claim 51, wherein: if values of the third parameter and the fourth parameter are both 1, the fifth parameter is used to indicate a number of measurement periods that the PW slides forward after the first model completes a prediction each time.

53. The apparatus of claim 51 or 52, wherein, a value of the fifth parameter is greater than or equal to 1, and the value of the fifth parameter is less than or equal to a value of the second parameter.

54. The device of any one of claims 45-53, wherein: the first parameter is determined based on configuration information of a network device; and / or the second parameter is determined based on the configuration information of the network device.

55. The apparatus of any one of claims 45-54, wherein, the third parameter is determined based on one or more of configuration information, pre-configuration information, and protocol pre-defined information of the network device.

56. The device of any one of claims 45-55, wherein: a value of the third parameter is 1; or if configuration information of a network device does not contain the third parameter, the value of the third parameter is 1.

57. The apparatus of any one of claims 45-56, wherein, the fourth parameter is determined based on one or more of configuration information, pre-configuration information, and protocol pre-defined information of the network device.

58. The device of any one of claims 45-57, wherein: a value of the fourth parameter is 1; or if configuration information of a network device does not contain the fourth parameter, the value of the fourth parameter is 1. If the configuration information of the network device does not contain the fourth parameter, the fourth parameter has a value of 1.

59. The apparatus of any one of claims 58, wherein, The fifth parameter is determined based on one or more of configuration information of the network device, pre-configuration information, and protocol pre-definition information.

60. The device of any of claims 45-59, wherein: The fifth parameter has a value of 1; or The fifth parameter has a value that is smaller than or equal to a value of the third parameter and a value of the fourth parameter.

61. The apparatus of any one of claims 45-60, wherein, The value of the third parameter is greater than or equal to the value of the fourth parameter.

62. The apparatus of claim 45, wherein, The actual measurement period in the first mode corresponds to a first frequency, and the predicted measurement period in the first mode corresponds to a second frequency.

63. The apparatus of claim 62, wherein, The actual measurement period in the first mode overlaps with the predicted measurement period in the first mode in the time domain.

64. The apparatus of claim 62 or 63, wherein, The number of measurement periods in the PW is greater than or equal to 1; and / or, the number of measurement periods in the PW is less than or equal to the number of measurement periods contained in the OW.

65. The apparatus of any one of claims 62-64, wherein, The sliding distance of the OW is less than or equal to the time length of the OW after the first model completes a prediction.

66. The apparatus of any one of claims 45-65, wherein, One measurement period is used to output one measurement result, and the one measurement result is a cell-level measurement result, a beam-level measurement result, a layer 1 measurement result, or a layer 3 measurement result.

67. A communications device, characterized by The communication device is a network device, and the network device includes: A sending module configured to send one or more of the following parameters of the first model to a terminal device: A first parameter used to indicate the number of measurement periods contained in a first mode, the first mode corresponding to a time interval in the time domain, and the first mode including one or more actual measurement periods and one or more predicted measurement periods; A second parameter used to indicate the number of actual measurement periods contained in the first mode; A third parameter used to indicate the number of the first modes contained in an observation window (OW) of the first model; A fourth parameter used to indicate the number of the first modes contained in a prediction window (PW) of the first model; A fifth parameter used to indicate the sliding distance of the PW after the first model completes a prediction.

68. The apparatus of claim 67, wherein, The predicted measurement periods in the first mode are located after the actual measurement periods in the first mode in the time domain.

69. The apparatus of claim 67 or 68, wherein, The length of the OW is determined based on one or more of the following parameters: the first parameter, the second parameter, and the third parameter.

70. The apparatus of claim 67, wherein, The length of the OW satisfies: M*(K-1)+N, where M represents a value of the first parameter, N represents a value of the second parameter, and K represents a value of the third parameter.

71. The apparatus of any one of claims 67-70, wherein, The length of the PW is determined based on one or more of the following parameters: the first parameter, the second parameter, and the fourth parameter.

72. The apparatus of claim 71, wherein, The length of the PW satisfies: M*(L-1)+M-N, where M represents a value of the first parameter, N represents a value of the second parameter, and L represents a value of the fourth parameter.

73. The device of any of claims 67-72, wherein: The fifth parameter is used to indicate the number of time intervals that the prediction window slides forward after the first model completes each prediction; or The fifth parameter is used to indicate the number of measurement periods that the prediction window slides forward after the first model completes each prediction.

74. The device of claim 73, wherein: If the third parameter and the fourth parameter are both 1, the fifth parameter is used to indicate the number of measurement periods that the prediction window slides forward after the first model completes each prediction.

75. The apparatus of claim 73 or 74, wherein, The value of the fifth parameter is greater than or equal to 1, and the value of the fifth parameter is less than or equal to the value of the second parameter.

76. The device of any one of claims 67-75, wherein: The first parameter is determined based on configuration information of the network device; and / or The second parameter is determined based on configuration information of the network device.

77. The apparatus of any one of claims 67-76, wherein, The third parameter is determined based on one or more of configuration information, pre-configuration information, and protocol pre-defined information of the network device.

78. The device of any one of claims 67-77, wherein: The value of the third parameter is 1; or If the configuration information of the network device does not contain the third parameter, the value of the third parameter is 1.

79. The apparatus of any one of claims 67-78, wherein, The fourth parameter is determined based on one or more of configuration information, pre-configuration information, and protocol pre-defined information of the network device.

80. The device of any one of claims 67-79, wherein: The value of the fourth parameter is 1; or If the configuration information of the network device does not contain the fourth parameter, the value of the fourth parameter is 1.

81. The apparatus of any one of claims 80, wherein, The fifth parameter is determined based on one or more of configuration information, pre-configuration information, and protocol pre-defined information of the network device.

82. The device of any one of claims 67-81, wherein: The value of the fifth parameter is 1; or The value of the fifth parameter is the smaller one of the value of the third parameter and the value of the fourth parameter.

83. The apparatus of any one of claims 67-82, wherein, The value of the third parameter is greater than or equal to the value of the fourth parameter.

84. The apparatus of claim 67, wherein, The actual measurement period in the first mode corresponds to a first frequency, and the predicted measurement period in the first mode corresponds to a second frequency.

85. The apparatus of claim 84, wherein, The actual measurement period in the first mode overlaps with the predicted measurement period in the first mode in time domain.

86. The apparatus of claim 84 or 85, wherein, The number of measurement periods in the prediction window is greater than or equal to 1; and / or, the number of measurement periods in the prediction window is less than or equal to the number of measurement periods contained in the OW.

87. The apparatus of any one of claims 84-86, wherein, The sliding distance of the OW after the first model completes each prediction is less than or equal to the time length of the OW.

88. The apparatus of any one of claims 67-87, wherein, One of the measurement periods is used to output one measurement result, and the one measurement result is a cell-level measurement result, a beam-level measurement result, a layer 1 measurement result, or a layer 3 measurement result.

89. A communications device, characterized by A communication device comprising a transceiver, a memory for storing a program, and a processor for invoking the program in the memory and controlling the transceiver to receive or send signals, so as to make the communication device perform the method of any one of claims 1 to 21 or the method of any one of claims 22 to 44.

90. An apparatus comprising: A device comprising a processor for invoking a program from a memory, so as to make the device perform the method of any one of claims 1 to 22 or the method of any one of claims 23 to 44.

91. A chip, comprising: A chip comprising a processor for invoking a program from a memory, so that the device installed with the chip performs the method of any one of claims 1 to 22 or the method of any one of claims 23 to 44.

92. A computer-readable storage medium, characterized in that, A computer program product, wherein a program is stored on the computer program product, and the program causes a computer to perform the method of any one of claims 1 to 22 or the method of any one of claims 23 to 44.

93. A computer program product, characterized in that, A computer program product, wherein a program is stored on the computer program product, and the program causes a computer to perform the method of any one of claims 1 to 22 or the method of any one of claims 23 to 44.

94. A computer program, characterized in that, The computer program product causes a computer to perform the method of any one of claims 1 to 22 or the method of any one of claims 23 to 44.

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