Communication method, and terminal, network device, communication system and storage medium

Abstract

The embodiments of the present disclosure relate to a communication method, and a terminal, a network device, a communication system and a storage medium. The communication method can be executed by a terminal. The method comprises: determining a measurement result; and sending the measurement result to a network device, wherein the measurement result comprises a first measurement result, a duration used for determining that the first measurement result is a first duration, the first duration is different from a second duration, and the second duration is a measurement duration corresponding to a second measurement result. In the present disclosure, a terminal reduces the measurement delay by means of prediction, thereby improving the measurement efficiency.

Description

Communication method, terminal, network device, communication system and storage medium TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of communication, and in particular to a communication method, a terminal, a network device, a communication system and a storage medium. BACKGROUND

[0002] In order to meet the purpose of radio resource management (RRM), the network side configures the terminal to measure the radio resource, and this measurement is called RRM measurement. The network side can perform resource allocation, cell switching and other mobility management according to the measurement result reported by the terminal, so as to improve the performance and user experience of the network.

[0003] SUMMARY

[0004] In the RRM measurement process, the terminal needs to perform measurement based on multiple reference signals to obtain qualified measurement results, and the measurement time is long and the measurement efficiency is low.

[0005] Embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system and a storage medium.

[0006] According to a first aspect of the embodiments of the present disclosure, a communication method is provided, which is performed by a terminal, and the method comprises: determining a measurement result; and sending the measurement result to a network device; wherein the measurement result comprises a first measurement result, wherein a time length for determining the first measurement result is a first time length, the first time length is different from a second time length, and the second time length is a measurement time length corresponding to a second measurement result.

[0007] According to a second aspect of the embodiments of the present disclosure, a communication method is provided, which is performed by a network device, and the method comprises: receiving a measurement result; wherein the measurement result comprises a first measurement result, wherein a time length for determining the first measurement result is a first time length, the first time length is different from a second time length, and the second time length is a measurement time length corresponding to a second measurement result.

[0008] According to a third aspect of the embodiments of the present disclosure, a terminal is provided, which comprises: a processing module configured to determine a measurement result; and a transceiver module configured to send the measurement result to a network device; wherein the measurement result comprises a first measurement result, wherein a time length for determining the first measurement result is a first time length, the first time length is different from a second time length, and the second time length is a measurement time length corresponding to a second measurement result.

[0009] According to a fourth aspect of the embodiments of the present disclosure, a network device is provided, comprising: a transceiver configured to receive a measurement result; wherein the measurement result comprises a first measurement result, wherein a time length for determining the first measurement result is a first time length, the first time length being different from a second time length, the second time length being a measurement time length corresponding to a second measurement result.

[0010] According to a fifth aspect of the embodiments of the present disclosure, a terminal is provided, comprising: one or more processors; wherein the terminal is configured to perform the communication method according to the first aspect.

[0011] According to a sixth aspect of the embodiments of the present disclosure, a network device is provided, comprising: one or more processors; wherein the network device is configured to perform the communication method according to the second aspect.

[0012] According to a seventh aspect of the embodiments of the present disclosure, a communication system is provided, comprising a network device and a terminal, wherein the terminal is configured to implement the communication method according to the first aspect, and the network device is configured to implement the communication method according to the second aspect.

[0013] According to an eighth aspect of the embodiments of the present disclosure, a storage medium is provided, the storage medium storing instructions, when the instructions are executed on a network device or a terminal, causing the terminal to perform the communication method according to the first aspect, and causing the network device to perform the communication method according to the second aspect.

[0014] According to a ninth aspect of the embodiments of the present disclosure, a computer program product is provided, comprising a computer program, when the computer program is executed by a processor, implementing the communication method according to any one of the first aspect and the second aspect.

[0015] According to a tenth aspect of the embodiments of the present disclosure, a computer program is provided, the computer program comprising code, when the code is executed by a processor, implementing the communication method according to any one of the first aspect and the second aspect.

[0016] According to an eleventh aspect of the embodiments of the present disclosure, a chip or a chip system is provided. The chip or the chip system comprises processing circuitry. The processing circuitry is configured to perform the communication method according to any one of the first aspect and the second aspect.

[0017] According to the embodiments of the present disclosure, the terminal obtains the measurement result based on the prediction, which can effectively reduce the measurement delay, improve the measurement efficiency, and enhance the RRM measurement. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following describes the drawings required for the embodiments, and the following drawings are only some embodiments of the present disclosure, and do not specifically limit the protection scope of the present disclosure.

[0019] FIG. 1 is a schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure.

[0020] FIG. 2A is a first interaction schematic diagram of a communication method according to an embodiment of the present disclosure.

[0021] FIG. 2B is a second interaction schematic diagram of a communication method according to an embodiment of the present disclosure.

[0022] FIG. 2C is a third interaction schematic diagram of a communication method according to an embodiment of the present disclosure.

[0023] FIG. 2D is a prediction process schematic diagram of an AI model corresponding to FIG. 2A according to an embodiment of the present disclosure.

[0024] FIG. 2E is a prediction process schematic diagram of an AI model corresponding to FIG. 2B according to an embodiment of the present disclosure.

[0025] FIG. 2F is a prediction process schematic diagram of an AI model corresponding to FIG. 2C according to an embodiment of the present disclosure.

[0026] FIG. 3A is a first flow schematic diagram of a communication method performed by a terminal according to an embodiment of the present disclosure.

[0027] FIG. 3B is a first flow schematic diagram of a communication method performed by a network device according to an embodiment of the present disclosure.

[0028] FIG. 4A is a second flow schematic diagram of a communication method performed by a terminal according to an embodiment of the present disclosure.

[0029] FIG. 4B is a second flow schematic diagram of a communication method performed by a network device according to an embodiment of the present disclosure.

[0030] FIG. 5A is a structural schematic diagram of a terminal according to an embodiment of the present disclosure.

[0031] FIG. 5B is a structural schematic diagram of a network device according to an embodiment of the present disclosure.

[0032] FIG. 6 is a structural schematic diagram of a communication device according to an embodiment of the present disclosure.

[0033] FIG. 7 is a structural schematic diagram of a chip according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system and a storage medium.

[0035] In a first aspect, a method for communication is provided. The method is performed by a terminal and includes determining a measurement result, and sending the measurement result to a network device. The measurement result includes a second measurement result, wherein a time length for determining the second measurement result is a second time length, and the second time length is different from a first time length corresponding to a first measurement result.

[0036] In the embodiments of the present disclosure, the terminal can obtain the measurement result based on the prediction, thereby effectively reducing the measurement delay, improving the measurement efficiency, and enhancing the RRM measurement.

[0037] In some embodiments of the first aspect, the first measurement result includes measurement results of a plurality of first cells.

[0038] In some embodiments of the first aspect, the first measurement result includes a measurement result obtained based on measurement and / or a measurement result obtained based on prediction.

[0039] In some embodiments of the first aspect, the first time length includes a first measurement period of at least one cell of the plurality of first cells, and the second time length includes a second measurement period of at least one cell of the plurality of first cells, and the first measurement period is less than the second measurement period.

[0040] In the embodiments of the present disclosure, the measurement period of one cell is reduced, thereby reducing the first time length for obtaining the first measurement result, and further reducing the measurement time length for obtaining the measurement results of the plurality of first cells.

[0041] In some embodiments of the first aspect, the second measurement result is used to determine the first measurement result, and a cell corresponding to the second measurement result is different from a cell corresponding to the first measurement result.

[0042] In some embodiments of the first aspect, a prediction time length for performing one prediction on one cell of the plurality of first cells is less than a measurement time length for performing one measurement on the one cell.

[0043] In the embodiments of the present disclosure, since the prediction time length for performing one prediction on one cell is less than the measurement time length for performing one measurement on the one cell, the terminal can obtain the measurement result based on the prediction, thereby effectively reducing the measurement time length and improving the measurement efficiency.

[0044] In some embodiments of the first aspect, the first measurement result includes measurement results of at least one second cell, the second cell is part of the plurality of first cells, and the first measurement result is used to predict a second measurement result.

[0045] In the embodiments of the present disclosure, the terminal only measures part of the plurality of first cells, so that the measurement time can be reduced, and the reporting delay can be reduced.

[0046] In some embodiments of the first aspect, in some embodiments, the second measurement result comprises a measurement result of at least one third cell, and the third cell is at least part of the plurality of first cells.

[0047] In the embodiments of the present disclosure, the terminal can predict the remaining part of the plurality of first cells through part of the plurality of first cells, and can also predict all the cells, so that the flexibility of the measurement result prediction is improved.

[0048] In some embodiments of the first aspect, in some embodiments, the third cell is a cell in the plurality of first cells except the second cell.

[0049] In some embodiments of the first aspect, in some embodiments, the first measurement result is obtained based on a first reference signal, and a quantity of the first reference signal is less than a preset value, and the preset value is a quantity of a reference signal used to determine the second measurement result.

[0050] In some embodiments of the first aspect, in some embodiments, the measurement result of one second cell is obtained based on a first quantity of first reference signals, and the first quantity is less than a second quantity, and the second quantity is a quantity of reference signals configured by the network device for the plurality of first cells.

[0051] In the embodiments of the present disclosure, the terminal reduces the quantity of the reference signals for measuring one cell, so that the measurement period of one cell can be effectively reduced, and the measurement time can be reduced.

[0052] In some embodiments of the first aspect, in some embodiments, the measurement result of one second cell comprises a third measurement result and / or a fourth measurement result, the third measurement result is obtained based on the first reference signal, and the fourth measurement result is obtained based on the third measurement result.

[0053] In some embodiments of the first aspect, in some embodiments, the first time length of the first measurement result is determined based on first information, and the first information is used to indicate a support capability of the terminal for radio resource management (RRM) measurement.

[0054] In some embodiments of the first aspect, in some embodiments, the support capability comprises a quantity of cells supported by the terminal for measurement, and the first time length is determined based on the quantity of the cells for measurement and a measurement period of one cell.

[0055] In some embodiments of the first aspect, in some embodiments, the support capability includes a number of reference signals supported by the terminal for measurement, and the measurement period of the one cell is determined based on the number of the reference signals for measurement and a measurement period of one reference signal.

[0056] In some embodiments of the first aspect, in some embodiments, the first information includes at least one of: second information used to indicate a number of cells supported by the terminal for measurement; third information used to indicate a first ratio supported by the terminal; the first ratio being a ratio of the number of cells for measurement to a number of cells configured by the network device; and fourth information used to indicate a number of reference signals supported by the terminal for measurement.

[0057] In some embodiments of the first aspect, in some embodiments, the second time length is determined based on at least one of: a processing time length of an artificial intelligence (AI) model; and the number of cells for prediction.

[0058] In some embodiments of the first aspect, in some embodiments, the second time length is positively correlated with the number of cells.

[0059] In some embodiments of the first aspect, in some embodiments, the method further includes: determining the first measurement result by a first measurement manner; wherein the first measurement manner is different from the second measurement manner, a number of reference signals corresponding to the first measurement manner is less than a number of reference signals corresponding to the second measurement manner, and the second measurement result is determined by the second measurement manner.

[0060] In some embodiments of the first aspect, in some embodiments, the method further includes: determining the first measurement result by a first measurement manner, the first measurement result corresponding to a plurality of first cells; wherein reference signals corresponding to the first measurement manner are derived from a second cell, or the reference signals corresponding to the first measurement manner are derived from a first cell and a second cell.

[0061] In some embodiments of the first aspect, in some embodiments, the method further includes: determining the first measurement result by a first measurement manner, a cell corresponding to the first measurement result being different from a cell corresponding to the second measurement result; wherein input data corresponding to the first measurement manner includes part or all of the second measurement result.

[0062] In some embodiments of the first aspect, in some embodiments, the second measurement manner is different from the first measurement manner, the first measurement result corresponding to the first measurement manner; wherein the first measurement result corresponds to a third cell, and reference signals corresponding to the first measurement manner are derived from the third cell.

[0063] In a second aspect, the embodiments of the present disclosure provide a communication method, performed by a network device, the method comprising: receiving measurement results; wherein the measurement results comprise: first measurement results, wherein a time length for determining the first measurement results is a first time length, the first time length being different from a second time length, the second time length being a measurement time length corresponding to second measurement results.

[0064] In some embodiments of the second aspect, the first measurement results comprise measurement results of a plurality of first cells.

[0065] In some embodiments of the second aspect, the first measurement results comprise measurement results obtained based on measurement and / or measurement results obtained based on prediction.

[0066] In some embodiments of the second aspect, the first time length comprises a first measurement period of at least one cell of the plurality of first cells, and the second time length comprises a second measurement period of at least one cell of the plurality of first cells, the first measurement period being less than the second measurement period.

[0067] In some embodiments of the second aspect, the second measurement results are used to determine the first measurement results, and the cells corresponding to the second measurement results are different from the cells corresponding to the first measurement results.

[0068] In some embodiments of the second aspect, a prediction time length for predicting a cell of the plurality of first cells once is less than a measurement time length for measuring a cell once.

[0069] In some embodiments of the second aspect, the first measurement results comprise measurement results of at least one second cell, the second cell being a part of the plurality of first cells, and the first measurement results are used to predict the second measurement results.

[0070] In some embodiments of the second aspect, the second measurement results comprise measurement results of at least one third cell, the third cell being at least a part of the first cells.

[0071] In some embodiments of the second aspect, the third cell is a cell of the plurality of first cells other than the second cell.

[0072] In some embodiments of the second aspect, the first measurement results are obtained based on a first reference signal, a quantity of the first reference signal being less than a preset value, the preset value being a quantity of a reference signal used to determine the second measurement results.

[0073] In some embodiments of the second aspect, in some embodiments, the measurement result of one of the second cells is based on a first quantity of the first reference signals, the first quantity being less than the second quantity, and the second quantity being a quantity of reference signals configured by the network device for the plurality of first cells.

[0074] In some embodiments of the second aspect, in some embodiments, the measurement result of one of the second cells comprises a third measurement result and / or a fourth measurement result, the third measurement result being based on the first reference signals, and the fourth measurement result being predicted based on the third measurement result.

[0075] In some embodiments of the second aspect, in some embodiments, the first time length is determined based on first information, the first information being used to indicate a support capability of the terminal for RRM measurement.

[0076] In some embodiments of the second aspect, in some embodiments, the support capability comprises a quantity of cells supported by the terminal for measurement, and the first time length is determined based on the quantity of cells for measurement and a measurement period of one cell.

[0077] In some embodiments of the second aspect, in some embodiments, the support capability comprises a quantity of reference signals supported by the terminal for measurement, and the measurement period of one cell is determined based on the quantity of reference signals for measurement and a measurement period of one reference signal.

[0078] In some embodiments of the second aspect, in some embodiments, the first information comprises at least one of: second information used to indicate a quantity of cells supported by the terminal for measurement; third information used to indicate a first ratio supported by the terminal, the first ratio being a ratio of the quantity of cells for measurement to a quantity of cells configured by the network device; and fourth information used to indicate a quantity of reference signals supported by the terminal for measurement.

[0079] In some embodiments of the second aspect, in some embodiments, the second time length is determined based on at least one of: a processing time length of the AI model; and a quantity of cells for prediction.

[0080] In some embodiments of the second aspect, in some embodiments, the second time length is positively correlated with the quantity of cells for prediction.

[0081] In some embodiments of the second aspect, in some embodiments, the first measurement result is determined by a first measurement manner, and the second measurement result is determined by a second measurement manner, the first measurement manner being different from the second measurement manner, a quantity of reference signals corresponding to the first measurement manner being less than a quantity of reference signals corresponding to the second measurement manner.

[0082] In some embodiments of the second aspect, the first measurement result is determined by a first measurement manner, and the first measurement result corresponds to a plurality of first cells; wherein the reference signal corresponding to the first measurement manner is associated with a second cell, or the reference signal corresponding to the first measurement manner is from the first cell and the second cell.

[0083] In some embodiments of the second aspect, the first measurement result is determined by a first measurement manner, and the first measurement result corresponds to a cell different from the cell corresponding to the second measurement result; wherein the input data corresponding to the first measurement manner includes part or all of the second measurement result.

[0084] In the third aspect, the embodiments of the present disclosure provide a terminal, including: a processing module configured to determine a measurement result; and a transceiver module configured to send the measurement result to a network device; wherein the measurement result includes a second measurement result, wherein a time length for determining the second measurement result is a second time length, and the second time length is different from a first time length corresponding to a first measurement result.

[0085] In some embodiments of the third aspect, the first measurement result includes measurement results of a plurality of first cells.

[0086] In some embodiments of the third aspect, the first measurement result includes a measurement result obtained based on measurement and / or a measurement result obtained based on prediction.

[0087] In some embodiments of the third aspect, the first time length includes a first measurement period of at least one cell in the plurality of first cells, the second time length includes a second measurement period of at least one cell in the plurality of first cells, and the first measurement period is less than the second measurement period.

[0088] In some embodiments of the third aspect, a prediction time length for predicting a cell in the plurality of first cells once is less than a measurement time length for measuring a cell once.

[0089] In some embodiments of the third aspect, the second measurement result is used to determine the first measurement result, and the cell corresponding to the second measurement result is different from the cell corresponding to the first measurement result.

[0090] In some embodiments of the third aspect, the first measurement result includes a measurement result of at least one second cell, the second cell is part of the plurality of first cells, and the first measurement result is used to predict the second measurement result.

[0091] In some embodiments of the third aspect, in some embodiments, the second measurement result comprises a measurement result of at least one third cell, the third cell being at least part of the first cells.

[0092] In some embodiments of the third aspect, in some embodiments, the third cell is a cell other than the second cell in the first cells.

[0093] In some embodiments of the third aspect, in some embodiments, the first measurement result is based on a first reference signal, a quantity of the first reference signal being less than a preset value, the preset value being a quantity of reference signals used to determine the second measurement result.

[0094] In some embodiments of the third aspect, in some embodiments, the measurement result of one second cell is based on a first quantity of first reference signals, the first quantity being less than a second quantity, the second quantity being a quantity of reference signals configured by the network device for the first cells.

[0095] In some embodiments of the third aspect, in some embodiments, the measurement result of one second cell comprises a third measurement result and / or a fourth measurement result, the third measurement result being based on a measurement of the first reference signal, the fourth measurement result being predicted based on the third measurement result.

[0096] In some embodiments of the third aspect, in some embodiments, the first time length of the first measurement result is determined based on first information, the first information being used to indicate a support capability of the terminal for radio resource management (RRM) measurement.

[0097] In some embodiments of the third aspect, in some embodiments, the support capability comprises a quantity of cells supported by the terminal for measurement, the first time length being determined based on the quantity of cells for measurement and a measurement period of one cell.

[0098] In some embodiments of the third aspect, in some embodiments, the support capability comprises a quantity of reference signals supported by the terminal for measurement, the measurement period of the one cell being determined based on the quantity of reference signals for measurement and a measurement period of one reference signal.

[0099] In some embodiments of the third aspect, in some embodiments, the first information comprises at least one of: second information used to indicate the quantity of cells supported by the terminal for measurement; third information used to indicate a first ratio supported by the terminal, the first ratio being a ratio of the quantity of cells for measurement to a quantity of cells configured by the network device; and fourth information used to indicate a quantity of reference signals supported by the terminal for measurement.

[0100] In some embodiments of the third aspect, in some embodiments, the second time length is determined based on at least one of: a processing time length of an artificial intelligence (AI) model; and a number of cells used for prediction.

[0101] In some embodiments of the third aspect, in some embodiments, the second time length is positively correlated with the number of cells used for prediction.

[0102] In some embodiments of the third aspect, in some embodiments, the determining module is further configured to: determine the first measurement result by a first measurement manner; wherein the first measurement manner is different from a second measurement manner, a number of reference signals corresponding to the first measurement manner is less than a number of reference signals corresponding to the second measurement manner, and the second measurement result is determined by the second measurement manner.

[0103] In some embodiments of the third aspect, in some embodiments, the determining module is further configured to: determine the first measurement result by a first measurement manner, the first measurement result corresponding to a plurality of first cells; wherein reference signals corresponding to the first measurement manner are derived from a second cell association, or the reference signals corresponding to the first measurement manner are derived from a first cell and a second cell.

[0104] In some embodiments of the third aspect, in some embodiments, the determining module is further configured to: determine the first measurement result by a first measurement manner, a cell corresponding to the first measurement result being different from a cell corresponding to the second measurement result; wherein input data corresponding to the first measurement manner includes part or all of the second measurement result.

[0105] In some embodiments of the third aspect, in some embodiments, the second measurement manner is different from the first measurement manner, the first measurement result corresponding to the first measurement manner; wherein the first measurement result corresponds to a third cell, and reference signals corresponding to the first measurement manner are derived from the third cell.

[0106] In the fourth aspect, the embodiments of the present disclosure provide a network device, comprising: a transceiver configured to receive a measurement result; wherein the measurement result comprises a first measurement result, wherein a time length used for determining the first measurement result is a first time length, the first time length being different from a second time length, and the second time length being a measurement time length corresponding to a second measurement result.

[0107] In some embodiments of the fourth aspect, in some embodiments, the first measurement result comprises measurement results of a plurality of first cells.

[0108] In some embodiments of the fourth aspect, in some embodiments, the first measurement result comprises a measurement result obtained based on measurement and / or a measurement result obtained based on prediction.

[0109] In some embodiments of the fourth aspect, in some embodiments, the first time length comprises a first measurement period of at least one cell of the first plurality of cells, and the second time length comprises a second measurement period of at least one cell of the first plurality of cells, and the first measurement period is less than the second measurement period.

[0110] In some embodiments of the fourth aspect, in some embodiments, the second measurement result is used to determine the first measurement result, and the cell corresponding to the second measurement result is different from the cell corresponding to the first measurement result.

[0111] In some embodiments of the fourth aspect, in some embodiments, a prediction time length for predicting the measurement result of one cell of the first plurality of cells is less than a measurement time length for measuring the measurement result of one cell.

[0112] In some embodiments of the fourth aspect, in some embodiments, the first measurement result comprises a measurement result of at least one second cell, and the second cell is a part of the first plurality of cells, and the first measurement result is used to predict the second measurement result.

[0113] In some embodiments of the fourth aspect, in some embodiments, the second measurement result comprises a measurement result of at least one third cell, and the third cell is at least a part of the first cell.

[0114] In some embodiments of the fourth aspect, in some embodiments, the third cell is a cell of the first plurality of cells other than the second cell.

[0115] In some embodiments of the fourth aspect, in some embodiments, the first measurement result is based on a first reference signal, and a quantity of the first reference signal is less than a preset value, and the preset value is a quantity of a reference signal used to determine the second measurement result.

[0116] In some embodiments of the fourth aspect, in some embodiments, the measurement result of one second cell is based on a first quantity of first reference signals, and the first quantity is less than a second quantity, and the second quantity is a quantity of reference signals configured by the network device for the first plurality of cells.

[0117] In some embodiments of the fourth aspect, in some embodiments, the measurement result of one second cell comprises a third measurement result and / or a fourth measurement result, the third measurement result is based on a measurement of a first reference signal, and the fourth measurement result is based on a prediction of the third measurement result.

[0118] In some embodiments of the fourth aspect, in some embodiments, the first duration of the first measurement result is determined based on the first information, the first information being used to indicate a support capability of the terminal for RRM measurement.

[0119] In some embodiments of the fourth aspect, in some embodiments, the support capability comprises a number of cells supported by the terminal for measurement, and the first duration is determined based on the number of cells for measurement and a measurement period of one cell.

[0120] In some embodiments of the fourth aspect, in some embodiments, the support capability comprises a number of reference signals supported by the terminal for measurement, and the measurement period of one cell is determined based on the number of reference signals for measurement and a measurement period of one reference signal.

[0121] In some embodiments of the fourth aspect, in some embodiments, the first information comprises at least one of: second information used to indicate the number of cells supported by the terminal for measurement; third information used to indicate a first ratio supported by the terminal, the first ratio being a ratio of the number of cells for measurement to a number of cells configured by the network device; fourth information used to indicate the number of reference signals supported by the terminal for measurement.

[0122] In some embodiments of the fourth aspect, in some embodiments, the second duration is determined based on at least one of: a processing duration of the AI model; and the number of predicted cells.

[0123] In some embodiments of the fourth aspect, in some embodiments, the first measurement result is determined by a first measurement manner, wherein the first measurement manner is different from a second measurement manner, a number of reference signals corresponding to the first measurement manner is less than a number of reference signals corresponding to the second measurement manner, and the second measurement result is determined by the second measurement manner.

[0124] In some embodiments of the fourth aspect, in some embodiments, the first measurement result is determined by a first measurement manner, and the first measurement result corresponds to a plurality of first cells, wherein reference signals corresponding to the first measurement manner are derived from a second cell, or the reference signals corresponding to the first measurement manner are derived from a first cell and a second cell.

[0125] In some embodiments of the fourth aspect, in some embodiments, the first measurement result is determined by a first measurement manner, and a cell corresponding to the first measurement result is different from a cell corresponding to the second measurement result, wherein input data corresponding to the first measurement manner comprises part or all of the second measurement result.

[0126] With reference to some embodiments of the fourth aspect, in some embodiments, the second time length is positively correlated with the number of cells used for prediction.

[0127] In a fifth aspect, the embodiments of the present disclosure provide a terminal, comprising: one or more processors; wherein the terminal is configured to perform the communication method of the first aspect.

[0128] In a sixth aspect, the embodiments of the present disclosure provide a network device, comprising: one or more processors; wherein the network device is configured to perform the communication method of the second aspect.

[0129] In a seventh aspect, the embodiments of the present disclosure provide a communication system, comprising: a terminal and a network device; wherein the terminal is configured to perform the method described in the optional implementation of the first aspect, and the network device is configured to perform the method described in the optional implementation of the second aspect.

[0130] In an eighth aspect, the embodiments of the present disclosure provide a storage medium, which stores instructions, when the instructions are executed on a terminal or a network device, the terminal or the network device performs the method described in the optional implementation of the first aspect and the second aspect.

[0131] In a ninth aspect, the embodiments of the present disclosure provide a program product, when the program product is executed by a terminal or a network device, the terminal or the network device performs the method described in the optional implementation of the first aspect and the second aspect.

[0132] In a tenth aspect, the embodiments of the present disclosure provide a computer program, when the computer program is executed on a computer, the computer performs the method described in the optional implementation of the first aspect and the second aspect.

[0133] In an eleventh aspect, the embodiments of the present disclosure provide a chip or a chip system. The chip or the chip system comprises processing circuitry configured to perform the method described in the optional implementation of the first aspect and the second aspect.

[0134] It can be understood that the above network device, terminal, communication system, storage medium, program product, computer program, chip or chip system are all used to perform the method proposed in the embodiments of the present disclosure. Therefore, the beneficial effects they can achieve can refer to the beneficial effects in the corresponding method, which will not be described here.

[0135] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system and a storage medium. In some embodiments, the communication method and the information processing method, the measurement method, the reporting method of the measurement result, the acquisition method of the measurement result, and the like can be replaced with each other, and the information processing system, the communication system, the measurement system, and the like can be replaced with each other.

[0136] The embodiments of the present disclosure are not exhaustive, but only illustrate some embodiments, and are not specific limitations on the protection scope of the present disclosure. In the case of no contradiction, each step in an embodiment can be implemented as an independent embodiment, and the steps can be combined arbitrarily, for example, the scheme after removing part of the steps in an embodiment can also be implemented as an independent embodiment, and the order of the steps in an embodiment can be exchanged arbitrarily, in addition, the optional implementation manners in an embodiment can be combined arbitrarily; in addition, the embodiments can be combined arbitrarily, for example, part or all steps of different embodiments can be combined arbitrarily, an embodiment can be combined with optional implementation manners of other embodiments arbitrarily.

[0137] In each embodiment of the present disclosure, the terms and / or descriptions between the embodiments are consistent if there is no special description and logical conflict, and can be referred to each other, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0138] The terms used in the embodiments of the present disclosure are only for the purpose of describing the specific embodiments, and not as a limitation on the present disclosure.

[0139] In the embodiments of the present disclosure, unless otherwise specified, the elements expressed in singular form, such as "one", "a", "the", "above", "said", "preceding", "this" and the like, can represent "one and only one", and can also represent "one or more", "at least one" and the like. For example, in the case of using articles such as "a", "an", "the" and the like in English, the noun after the article can be understood as singular expression, and can also be understood as plural expression.

[0140] In the embodiments of the present disclosure, "plurality" means two or more.

[0141] In some embodiments, the terms "at least one of", "one or more", "a plurality of", "multiple" and the like can be replaced with each other.

[0142] In some embodiments, "at least one of A, B", "A and / or B", "in one case A, in another case B", "responsive to case A, responsive to case B" and the like, can be interpreted to include both cases, A and B, in some embodiments, A (A is performed regardless of B), in some embodiments, B (B is performed regardless of A), in some embodiments, selected from the group consisting of A and B (the selection between A and B is an option), in some embodiments, A and B (both A and B are performed).

[0143] In some embodiments, "A or B" and the like, can be interpreted to include both cases, A and B, in some embodiments, A (A is performed regardless of B), in some embodiments, B (B is performed regardless of A), in some embodiments, selected from the group consisting of A and B (the selection between A and B is an option).

[0144] In some embodiments, the prefix words "first", "second" and the like in the disclosure do not limit the position, order, priority, number or content of the described objects, and the description of the described objects should be referred to the context of the claims or embodiments, and should not be construed as redundant limitations. For example, the described objects are "fields", and the ordinal words before "fields" in "first field" and "second field" do not limit the position or order between "fields", and "first" and "second" do not limit whether the "fields" modified by them are in the same message or not, nor limit the order of "first field" and "second field". For another example, the described objects are "levels", and the ordinal words before "levels" in "first level" and "second level" do not limit the priority between "levels". For another example, the number of the described objects is not limited by the ordinal words, and can be one or more. For example, "first device", where the number of "devices" can be one or more. In addition, the objects modified by different prefix words can be the same or different, for example, the described objects are "devices", and "first device" and "second device" can be the same device or different devices, and their types can be the same or different; for another example, the described objects are "information", and "first information" and "second information" can be the same information or different information, and their contents can be the same or different.

[0145] In some embodiments, "including A", "containing A", "for indicating A", "carrying A" can be interpreted as directly carrying A, or indirectly indicating A.

[0146] In some embodiments, the terms "in response to", "in response to determining", "in the case of", "when", "when", "if", "if" and the like can be replaced with each other.

[0147] In some embodiments, the terms "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not lower than", "above", and the like can be replaced with each other, and the terms "less than", "less than or equal to", "not greater than", "fewer than", "fewer than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", "below", and the like can be replaced with each other.

[0148] In some embodiments, an apparatus and the like can be interpreted as an entity, and can also be interpreted as virtual, and the name thereof is not limited to the name recited in the embodiments, and the terms "apparatus", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", and the like can be replaced with each other.

[0149] In some embodiments, "network" can be interpreted as an apparatus (for example, an access network device, a core network device, and the like) included in the network.

[0150] In some embodiments, the terms “network devices,” “access network devices (AN devices),” “radio access network devices (RAN devices),” “base stations (BSs),” “radio base stations,” “fixed stations,” “nodes,” “access network nodes,” “access points,” “transmission points (TPs),” “reception points (RPs),” “transmission / reception points (TRPs),” “panels,” “antenna panels,” “antenna arrays,” “cells,” “macro cells,” “small cells,” “femtocells,” “pico cells,” “sectors,” “cell groups,” “serving cells,” “carriers,” “component carriers,” “bandwidth parts (BWPs),” and the like can be used interchangeably.

[0151] In some embodiments, the terms "terminal," "terminal device," "user equipment (UE)," "user terminal," "mobile station (MS)," "mobile terminal (MT)," "subscriber station," "mobile unit," "subscriber unit," "wireless unit," "remote unit," "mobile device," "wireless device," "wireless communication device," "remote device," "mobile subscriber station," "access terminal," "mobile terminal," "wireless terminal," "remote terminal," "handset," "user agent," "mobile client," "client," and so on can be replaced with each other.

[0152] In some embodiments, the access network device, the core network device, or the network device can be replaced with a terminal. For example, the embodiments of the present disclosure can also be applied to a structure in which communication between the access network device, the core network device, or the network device and the terminal is replaced with communication between a plurality of terminals (e.g., device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the terminal can also be configured to have all or part of the functions of the access network device. In addition, the terms "uplink," "downlink," and the like can also be replaced with terms corresponding to the inter-terminal communication (e.g., "side"). For example, the uplink channel, the downlink channel, and the like can be replaced with the side channel, and the uplink, the downlink, and the like can be replaced with the sidelink.

[0153] In some embodiments, the terminal can be replaced with the access network device, the core network device, or the network device. In this case, the access network device, the core network device, or the network device can also be configured to have all or part of the functions of the terminal.

[0154] In some embodiments, the data, information, etc. can be obtained in compliance with the laws and regulations of the country in which the location is situated.

[0155] In some embodiments, the data, information, etc. can be obtained after obtaining the consent of the user.

[0156] In addition, each element, each row, or each column in the table of the embodiments of the present disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0157] FIG. 1 is a schematic diagram of an architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG. 1, the communication system 100 includes a terminal 101 and a network device 102.

[0158] In some embodiments, the terminal 101 includes at least one of a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a Pad, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in smart grid, a wireless terminal device in transportation safety, a wireless terminal device in smart city, a wireless terminal device in smart home, etc., but is not limited thereto.

[0159] In some embodiments, the network device 102 can include an access network device and / or a core network device. The access network device is, for example, a node or device that accesses a terminal to a wireless network, and can include at least one of an evolved NodeB (eNB), a next generation eNB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an Open RAN, a Cloud RAN, a base station in other communication systems, an access node in a Wi-Fi system, but is not limited thereto.

[0160] In some embodiments, the technical solutions of the present disclosure can be applicable to an Open RAN architecture, at which time the interfaces between or within the network devices involved in the embodiments of the present disclosure can become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be realized by software or programs.

[0161] In some embodiments, the access network device can be composed of a central unit (CU) and a distributed unit (DU), wherein the CU can also be referred to as a control unit. The CU-DU structure can split the protocol layers of the network device 102, and some of the protocol layers can be controlled by the CU, and the rest or all of the protocol layers can be distributed in the DU and controlled by the CU, but is not limited thereto.

[0162] In some embodiments, the core network device can be one device including a first network element, or a plurality of devices or device groups each including a first network element. The network element can be virtual or physical. The core network can include at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next generation core (NGC).

[0163] It can be understood that the communication system described in the embodiments of the present disclosure is for more clearly illustrating the technical solutions of the embodiments of the present disclosure, and does not constitute a limitation on the technical solutions provided by the embodiments of the present disclosure. Those skilled in the art can know that, with the evolution of system architecture and the appearance of new business scenarios, the technical solutions provided by the embodiments of the present disclosure are also applicable to similar technical problems.

[0164] The following embodiments of the present disclosure can be applied to the communication system 100 shown in FIG. 1 or part of the subject, but are not limited thereto. The subjects shown in FIG. 1 are exemplary, and the communication system can include all or part of the subjects in FIG. 1, or other subjects other than FIG. 1. The number and form of each subject is arbitrary, and the connection relationship between each subject is exemplary. Each subject can be connected or not connected, and the connection can be in any way, can be direct connection or indirect connection, can be wired connection or wireless connection.

[0165] Embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (Bluetooth (registered trademark)), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), system using other communication methods, next-generation system expanded based thereon, and the like. In addition, a plurality of systems can be combined (for example, combination of LTE or LTE-A and 5G, and the like).

[0166] Hereinafter, terms related to the present disclosure are exemplarily explained and explained.

[0167] I. RRM measurement:

[0168] The measurement quantity in the RRM measurement can include: a reference signal received power (RSRP) of a synchronization signal block, a reference signal received quality (RSRQ), a signal to interference plus noise ratio (SINR), a reference signal strength indicator (RSSI), and the like.

[0169] The measurement quantity can also include: an RSRP, an RSRQ, an SINR, or an RSSI of a channel state information-reference signal (CSI-RS), and the like. Alternatively, the measurement quantity can be an RSRP, an RSRQ, an SINR, or an RSSI of other reference signals, and the like.

[0170] The measurement quantity can also include: a channel status information (CSI), a channel quality indicator (CQI), a precoding matrix indicator (PMI), a precoding type indicator (PTI), a rank indication (RI), a CSI-RS index (CRI), and the like.

[0171] The synchronization signal block can also be referred to as a synchronization signal / physical broadcast channel block (SSB). The synchronization signal block can include at least one of: a PBCH, a primary synchronization signal (PSS), and a secondary synchronization signal (SSS). The synchronization signal block can also be referred to as an SSB or an SS / PBCH block or an SS block.

[0172] II. Measurement period of the RRM measurement:

[0173] A terminal in an RRC connected state (RRC_CONNECTED) needs to perform intra-frequency or inter-frequency cell measurement to monitor network coverage in the current environment. The protocol separately stipulates the measurement period for intra-frequency measurement and the measurement period for inter-frequency measurement. Table 1 is the measurement period for FR1 non-gap intra-frequency measurement, and Table 2 is the measurement period for FR1 inter-frequency measurement with a gap.

[0174] Table 1: Measurement period for non-gap intra-frequency measurement (frequency FR1)

[0175] wherein TSSB_measurement_period_intra is the time period for the terminal to measure the intra-frequency cell, ceil() represents the upward rounding function or the downward rounding function, SMTC (SSB measurement timing configurations) period is the period based on the SSB measurement timing configuration, K p is the scaling factor without measurement gap, CSSF intra (Carrier Specific Scaling Factor) is the carrier-specific scaling factor for intra-frequency, which is used to lengthen the time period, in the case of intra-frequency measurement, CSSF intra = 1.

[0176] Table 2: Measurement period for inter-frequency measurement with a gap (frequency FR1)

[0177] wherein TSSB_measurement_period_inter is the time period for the terminal to measure the inter-frequency cell, MGRP (Measurement Gap Repetition Period) is the period of the measurement gap, K gap is the scaling factor according to the measurement gap, CSSF inter (Carrier Specific Scaling Factor) is the carrier-specific scaling factor for inter-frequency, in the case of multiple inter-frequency points being configured, CSSF inter The value of CSSF

[0178] In the RRM measurement process, taking the intra-frequency measurement shown in Table 1 as an example, the terminal needs to perform measurement on 5 reference signals (RSs) of a cell to obtain a qualified measurement result. For example, the RS is an SSB, and the terminal needs to perform measurement on 5 SSBs of the cell to obtain 5 intermediate measurement results, and the terminal can obtain an effective measurement result of the cell based on the 5 intermediate measurement results. This results in a long measurement time and low measurement efficiency of the entire measurement process.

[0179] In some embodiments, the intermediate measurement result can include a layer 1 (L1) measurement result and / or a layer 2 (L2) measurement result.

[0180] In some embodiments, the intermediate measurement result can be a measurement result that does not meet the RRM measurement accuracy.

[0181] In some embodiments, the effective measurement result includes a layer 3 (L3) measurement result.

[0182] In an example, the terminal can obtain an effective measurement result of a cell C based on 3 intermediate measurement results of 3 cells A and 2 intermediate measurement results of 2 cells B.

[0183] In an example, the terminal can obtain an effective measurement result of a cell C based on 3 intermediate measurement results of 3 cells A and 2 effective measurement results of 2 cells B.

[0184] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a communication system, and a storage medium, which effectively reduce the measurement time, improve the measurement efficiency, and enhance the RRM measurement by at least one of reducing the number of measured cells, reducing the number of reference signals of a cell to be measured, and obtaining a measurement result based on prediction.

[0185] In some embodiments, the network device configures a plurality of cells A, and in this case, the first cell is a cell A.

[0186] In some embodiments, the terminal obtains a measurement result (for example, a measurement result A) of the cell A, and sends the measurement result A to the network device. In this case, the first measurement result is the measurement result A.

[0187] In some embodiments, the measurement result A is a measurement result obtained by a first measurement manner.

[0188] In some embodiments, the first measurement manner is different from a second measurement manner, and the second measurement manner is a manner of obtaining a second measurement result.

[0189] In some embodiments, the second measurement manner is a manner of obtaining a measurement result by using a measurement method specified in an existing protocol.

[0190] In some embodiments, the second measurement result is used to determine the first measurement result.

[0191] In some embodiments, the second measurement result is used to predict the first measurement result.

[0192] In some embodiments, the first measurement manner corresponds to a smaller number of reference signals than the second measurement manner.

[0193] In some embodiments, the first measurement manner corresponds to a smaller number of cells than the second measurement manner.

[0194] In some embodiments, the first measurement manner corresponds to different cells than the second measurement manner.

[0195] In some embodiments, the first measurement manner includes at least one of: a prediction-based manner, an AI-based manner, a measurement-based manner.

[0196] In some embodiments, the time length for obtaining the measurement result A is T1. In this case, the first time length is T1.

[0197] In some embodiments, the measurement result A includes at least one of: a measurement-based measurement result (e.g., measurement result B) and / or a prediction-based measurement result (e.g., measurement result C).

[0198] In some embodiments, T1 includes at least one of: a time length T B for obtaining the measurement result B and a time length T C for obtaining the measurement result C.

[0199] In some embodiments, the measurement time length for obtaining the second measurement result is T2. In this case, the second time length is T2.

[0200] In some embodiments, T1 is less than T2.

[0201] In some embodiments, T1 includes a measurement period T RS1 of at least one cell. In this case, the first measurement period is T RS1 .

[0202] In some embodiments, T2 includes a measurement period T RS2 of at least one cell. In this case, the second measurement period is T RS2 .

[0203] In some embodiments, T RS1 is less than T RS2 .

[0204] In some embodiments, the measurement result B is used to determine the measurement result C.

[0205] In some embodiments, the measurement result B is used to predict the measurement result C.

[0206] In some embodiments, the measurement result B comprises a measurement result of at least one second cell.

[0207] In some embodiments, the cell B is a part of the cell A. Then, the at least one cell B can be a part of the cell A. The at least one cell B can also be the cell A. In this case, the second cell is the cell B.

[0208] In an example, the cell A comprises four cells, i.e., cell 1, cell 2, cell 3 and cell 4. The cell B can be any one of the four cells. The cell B can also comprise any two of the four cells, e.g., the cell 1 and the cell 2 as one cell B, and the cell 3 and the cell 4 as another cell B. In this case, the two cell Bs are the cell A.

[0209] In some embodiments, in the case that the at least one cell B is the cell A, the measurement result A only comprises the measurement result B, i.e., the measurement result of the cell A is all obtained based on the measurement.

[0210] In some embodiments, the measurement result of one cell B comprises at least one of a measurement result D and a measurement result E. In this case, the third measurement result is the measurement result D, and the fourth measurement result is the measurement result E.

[0211] In some embodiments, the third measurement result and the fourth measurement result are intermediate measurement results.

[0212] In some embodiments, the measurement result D is obtained based on a first quantity of first reference signals, and the measurement result E is obtained based on the measurement result D. The first quantity is less than a second quantity, and the second quantity is a quantity of reference signals for measurement as specified in a protocol.

[0213] In some embodiments, the measurement result D and the measurement result E are RS level measurement results, and the measurement result B and the measurement result C are cell level measurement results.

[0214] In some embodiments, since the measurement result B comprises a measurement result of at least one cell B, and the measurement result of one cell B comprises the measurement result D and / or the measurement result E, the measurement result B comprises at least one measurement result D and / or at least one measurement result E.

[0215] In some embodiments, the time length T B The measurement time length (T D) and / or a prediction duration (T E ) of at least one measurement result E.

[0216] In some embodiments, the measurement result C comprises a measurement result of at least one cell C. In this case, the third cell is the cell C.

[0217] In some embodiments, the cell C is at least a part of the cell A. That is, the cell C can be a part of the cell A, and the cell C can also be the cell A.

[0218] In some embodiments, in the case that the cell C is a part of the cell A, the cell C is a cell of the cell A other than the cell B.

[0219] FIG. 2A is a first kind of interaction schematic diagram of a communication method according to embodiments of the present disclosure. As shown in FIG. 2A, embodiments of the present disclosure relate to a communication method. The communication method is performed by the communication system 100, and comprises steps S2101 to S2105.

[0220] In step S2101, the terminal sends first information.

[0221] In some embodiments, the network device receives the first information.

[0222] In some embodiments, the first information can be used to indicate the support capability of the terminal for RRM measurement.

[0223] In some embodiments, the first information can be used to indicate the support capability of the terminal for intra-frequency measurement.

[0224] In some embodiments, the first information can be used to indicate the support capability of the terminal for inter-frequency measurement.

[0225] In some embodiments, the first information can be used to indicate the number of cells supported by the terminal for measurement.

[0226] In some embodiments, the first information can be used to indicate the number of reference signals supported by the terminal for measurement.

[0227] In some embodiments, the first information can be used to indicate the support capability of the terminal for obtaining valid measurement results based on prediction.

[0228] In some embodiments, the first information can be used to indicate the support capability of the terminal for obtaining intermediate measurement results based on prediction.

[0229] In some embodiments, the first information can be used to indicate the number of valid measurement results supported by the terminal for prediction.

[0230] In some embodiments, the first information can be used to indicate a number of predicted intermediate measurement results supported by the terminal.

[0231] In some embodiments, the network device can determine T1 based on the first information, so as to achieve a unified understanding of T1 between the terminal and the network device, so that the network device knows how long a time range in which the measurement result determined by the terminal can be received.

[0232] In some embodiments, the network device can determine T1 based on the number of measured cells and the measurement period of one cell.

[0233] In some embodiments, the network device can determine the measurement period of one cell based on the number of measured reference signals and the measurement period of one reference signal.

[0234] In some embodiments, the first information includes at least one of the following: second information, third information, fourth information.

[0235] In some embodiments, the second information is used to indicate the number of measured cells supported by the terminal (e.g., capability one).

[0236] In some embodiments, the third information is used to indicate the first ratio supported by the terminal (e.g., capability two).

[0237] In some embodiments, the fourth information is used to indicate the number of measured RSs supported by the terminal (e.g., capability three).

[0238] In some embodiments, the capability one can indicate a number value, and at this time the capability one is understood as the terminal supporting measuring the number value of cells. For example, the capability one indicates a number value of 3, and at this time the capability one indicates that the terminal supports measuring 3 cells.

[0239] In some embodiments, the capability one can also indicate multiple number values, which can be represented in the form of a number set or a number range. The number set includes multiple number values. The number range includes multiple consecutive number values. At this time, the capability one is understood as the terminal supporting measuring the number value of cells in any of the multiple number values. For example, the capability one indicates a number set of {3, 5}, and at this time the capability one indicates that the terminal supports measuring 3 or 5 cells. For example, the capability one indicates a number range of [1, 3], and at this time the capability one indicates that the terminal supports measuring any number value of cells in 1 to 3.

[0240] In some embodiments, in the case where the number of measured cells supported by the terminal has multiple number values, the terminal can select one of the number values as the second information and send it to the network device.

[0241] In some embodiments, the first ratio (P mea) represents the number of cells used for measurement (N) mea ) and the number of cells configured in the network equipment (N) mea_config The ratio, in other words, is the proportion of cells supported by the terminal for measurement among multiple cells configured in the network. In some embodiments, the cells configured by the network device are: cells configured by the network device that need to report measurement results.

[0242] In some embodiments, capability two may indicate one or more first ratios supported by the terminal. Multiple first ratios may be represented as a set of ratios or a range of ratios. A set of ratios includes multiple first ratios. A range of ratios includes multiple consecutive first ratios. For example, capability two may indicate a first ratio of 1 / 4, where capability two indicates that the terminal supports a 1 / 4 proportion of cells used for measurement among the multiple cells configured in the network. For example, capability two may indicate a ratio range of [1 / 4, 1 / 2], where capability two indicates that the terminal supports a proportion of cells used for measurement among the multiple cells configured in the network of any value between 1 / 4 and 1 / 2.

[0243] In some embodiments, if the terminal supports multiple first ratios for measurement, the terminal may select one of the first ratios as third information and send it to the network device.

[0244] In some embodiments, the network device may determine a second ratio based on a first ratio, wherein the second ratio (P) pre ) represents the number of cells (N) supported by the terminal for prediction. pre The ratio of the number of cells in the network configuration to the number of cells in the network configuration. The sum of the first ratio and the second ratio is 1.

[0245] In some embodiments, Capability 3 can indicate one or more quantity values. Similar to Capability 1, multiple quantity values ​​can be represented as a set of quantities or a range of quantities. A set of quantities includes multiple quantity values. A range of quantities includes multiple consecutive quantity values. For example, if Capability 3 indicates a quantity value of 3, then Capability 3 indicates that the terminal supports measuring a cell using 3 RSs.

[0246] In some embodiments, the number (N) of RSs supported by the terminal for measurement RS If there are multiple quantity values, the terminal can select one of them as the fourth quantity value and send it to the network device.

[0247] In some embodiments, step S2101 can be omitted, in which case the network device can use the first information agreed upon in the protocol.

[0248] In step S2102, the network device sends the fifth message.

[0249] In some embodiments, the terminal receives the fifth information.

[0250] In some embodiments, the fifth information can indicate the cell A. In some embodiments, the fifth information does not indicate the reference signal. In other words, the network device does not configure the reference signal. At this time, the terminal obtains the measurement result A of the cell A based on the prediction.

[0251] In some embodiments, the fifth information can also indicate the cell A and the second number of reference signals. At this time, the terminal can perform the measurement using the second number of references, or can not use the reference signal, i.e., does not perform the measurement.

[0252] In some embodiments, the fifth information can be used to instruct the terminal to report the measurement result A of the cell A.

[0253] In some embodiments, the fifth information can be used to instruct the terminal to report the measurement result A based on the measurement and / or the prediction.

[0254] In some embodiments, the fifth information can be used to instruct the terminal to obtain the measurement result B based on the measurement.

[0255] In some embodiments, the fifth information can be used to instruct the terminal to obtain the measurement result C based on the prediction.

[0256] In some embodiments, in the case where the fifth information only includes the cell A, since the network device does not configure the reference signal for the terminal, the terminal cannot perform the measurement, i.e., the terminal does not perform step S2103, at this time, the terminal can only obtain the measurement result A based on the prediction.

[0257] In step S2103, the terminal performs the measurement on the cell B based on the second number of reference signals, and obtains the measurement result B.

[0258] In some embodiments, the second number (N RS_protocol ) of reference signals can be the number of RSs for measurement specified in the protocol.

[0259] In some embodiments, assuming that the second number specified in the protocol is 5, the terminal performs the measurement on the cell B in the cell A based on the 5 RSs, and obtains the measurement result B.

[0260] In some embodiments, the time length T B for obtaining the measurement result B is the product of N RS_protocol , T RS1 , and the number (N mea ) of cells B for measurement, which is expressed by the formula T B = N RS_protocol × T RS1 × N mea .

[0261] In an example, in case of RS being SSB and the terminal performing non-gap intra-frequency measurement, T RS1 = TSSB_measurement_period_intra, the calculation method of TSSB_measurement_period_intra is shown in Table 1 as described above, and the calculation method of CSSF intra in Table 3 is shown as follows, Table 3 being the calculation method of carrier-specific scaling factor for intra-frequency in standalone mode (SA):

[0262] Table 3: CSSF in SA mode intra

[0263] wherein N / A represents non, i.e. no corresponding value.

[0264] In an example, in case of RS being SSB and the terminal performing gap inter-frequency measurement, T RS1 = TSSB_measurement_period_inter, the calculation method of TSSB_measurement_period_inter is shown in Table 2 as described above, and the calculation method of CSSF inter in Table 4 is shown as follows, Table 4 being the calculation method of carrier-specific scaling factor for inter-frequency in standalone mode (SA):

[0265] Table 4: CSSF in SA mode inter

[0266] wherein N PCC_CSIRS = 1 or 0, in case of SSB and CSI-RS based L3 being configured simultaneously or only CSI-RS based L3 being configured on the primary component carrier, N PCC_CSIRS = 1, otherwise, N PCC_CSIRS = 0.

[0267] In some embodiments, in case that the network device receives the second information (i.e. N mea ), the network device can determine T B based on N mea .

[0268] In some embodiments, in case that the network device receives the third information (i.e. P mea ), the network device can determine N mea based on P mea and the number of configured cells A (N mea_config ), which is expressed in formula as N mea = N mea_configX P mea , and further determine T B .

[0269] In step S2104, the terminal predicts the measurement result C of cell C based on the measurement result B of cell B.

[0270] In some embodiments, the terminal inputs the measurement result B into an artificial intelligence (AI) model to obtain the measurement result C output by the AI model.

[0271] In some embodiments, since cell C is at least a part of cell A, cell C can be a cell other than cell B in cell A, and there is no association between cell B and cell C, the terminal can predict the measurement result C of cell C based on the measurement result B of cell B. In other words, the terminal can predict the measurement result of the remaining part of the cells based on the measurement result of part of the cells in cell A.

[0272] In some embodiments, since cell C is at least a part of cell A, cell C can be cell A, and cell B is a part of cell C, that is, there is an association between cell B and cell C, the terminal can predict the measurement result C of cell C based on the measurement result of cell B. In other words, the terminal can predict the measurement result of the entire cell A based on the measurement result of part of the cells in cell A.

[0273] In some embodiments, step S2103 can be omitted, and the measurement result B can be obtained by acquiring the measurement result of cell B at a historical time, the measurement result B can also be obtained by acquiring the measurement result of the neighboring cell of cell C, and the measurement result B can also be obtained by acquiring the measurement result of other cells from other terminals. In other words, the terminal can obtain the measurement result B without performing measurement.

[0274] In an example, assuming that N mea_config = 10, N RS_protocol = 5, and N mea = 4, the process of predicting the measurement result C of cell C based on the measurement result B of cell B by the terminal is shown in FIG. 2D, which is a schematic diagram of the prediction process of the AI model corresponding to FIG. 2A.

[0275] In some embodiments, the time length T C for obtaining the measurement result C can be determined based on the processing time length of the AI model. The processing time length of the AI model can be preconfigured.

[0276] In some embodiments, the processing time length of the AI model can be a fixed value (t preThis can be understood as meaning that no matter how many measurement results the AI ​​model needs to predict, its processing time is always t. pre At this point, the time C for obtaining the measurement result C is expressed by the formula T. C =t pre .

[0277] In some embodiments, t pre It can be associated with AI models, and different AI models correspond to different t. pre In one example, AI model 1 is used to obtain the duration T of measurement result C. C =t pre1 The duration T of measurement result C is obtained using AI model 2. C =t pre2 , t pre1 With t pre2 different.

[0278] In some embodiments, the duration C is related to the cell C(N) used for prediction. pre The number of cells C used for prediction is positively correlated with the duration T. In other words, the more cells C used for prediction, the longer the duration T will be. C The longer. In one example, the duration T C The duration C increases linearly with the number of cells C. In one example, the duration C increases exponentially with the number of cells C. In another example, the duration C increases logarithmically with the number of cells C.

[0279] In some embodiments, duration T C The number of cells C is proportional to the number of cells C, expressed by the formula T. C =N pre ×t pre At this time, t pre This can be understood as the prediction duration of an AI model for a single cell.

[0280] In some embodiments, duration T C The number of cells C is at least partially proportional to the number of cells C, at which point t pre ≤T C ≤N pre ×t pre In one example, T C =(N pre -k)×t pre +t pre k is a predefined value.

[0281] In some embodiments, the AI ​​model involved in the above embodiments can be replaced with a machine learning (ML) model.

[0282] In some embodiments, the network device can determine T based on the preconfigured t C .

[0283] In some embodiments, the network device can also determine N based on the received N mea , and then determine T pre . C .

[0284] In some embodiments, the network device can also determine P based on the received P mea , determine N based on P pre , and then determine T pre . pre . C .

[0285] In step S2105, the terminal sends the measurement result A of cell A.

[0286] In some embodiments, the network device receives the measurement result A of cell A.

[0287] In some embodiments, in the case that cell C is a cell of cell A other than cell B, the measurement result A includes the measurement result B obtained by measurement and the measurement result C obtained by prediction.

[0288] In some embodiments, in the case that cell C is cell A, the measurement result A can only include the measurement result C obtained by prediction.

[0289] In some embodiments, in the case that the terminal performs step S2103, the time length T1 for obtaining the measurement result A includes the measurement time length (T B ) for obtaining the measurement result B by measurement and the prediction time length (T C ) for obtaining the measurement result C by prediction, which is expressed by the formula T1=T B +T C .

[0290] In some embodiments, in the case that step S2103 is omitted, the time length for obtaining the measurement result A only includes the time length for obtaining the measurement result C by prediction, which is expressed by the formula T1=T C .

[0291] In some embodiments, the network device can determine the time length for the terminal to obtain the measurement result A based on the received first information, the preconfigured number of cells A, and the processing time length of the preconfigured AI model, and then determine in how much time length the measurement result A reported by the terminal can be received.

[0292] In the embodiments of the present disclosure, since the prediction duration for predicting one cell is less than the measurement duration for measuring one cell, the measurement delay can be reduced, the measurement efficiency can be improved, and the RRM measurement can be enhanced by reducing the number of measured cells and predicting the measurement result based on AI.

[0293] The communication method related to the embodiments of the present disclosure can include at least one of steps S2101 to S2105. For example, step S2101 can be implemented as an independent embodiment. For example, step S2102 can be implemented as an independent embodiment. For example, step S2103 can be implemented as an independent embodiment. For example, step S2104 can be implemented as an independent embodiment. For example, step S2105 can be implemented as an independent embodiment. For example, step S2101 and step S2102 can be combined to be implemented as an independent embodiment. For example, step S2102, step S2103 and step S2104 can be combined to be implemented as an independent embodiment. For example, step S2103 and step S2104 can be combined to be implemented as an independent embodiment. For example, step S2104 and step S2105 can be combined to be implemented as an independent embodiment. For example, step S2103, step S2104 and step S2105 can be combined to be implemented as an independent embodiment. But not limited to this.

[0294] FIG. 2B is a second kind of interaction schematic diagram of a communication method provided by the embodiments of the present disclosure. As shown in FIG. 2B, the embodiments of the present disclosure relate to a communication method. The communication method is performed by the communication system 100, and includes steps S2201 to S2206.

[0295] In step S2201, the terminal sends first information.

[0296] The optional implementation of step S2201 can refer to the optional implementation of step S2101 of FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be repeated here.

[0297] In step S2202, the network device sends fifth information.

[0298] In some embodiments, the network device can include a cell A. The fifth information can also include the cell A and a first number of reference signals. The fifth information can further include the cell A and a second number of reference signals. The first number is less than the second number.

[0299] The optional implementation of step S2202 can refer to the optional implementation of step S2102 of FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be repeated here.

[0300] In step S2203, the terminal measures the cell A based on the first number of reference signals to obtain a measurement result D of the cell A.

[0301] In some embodiments, the first number (N RS ) of reference signals is less than the second number (N RS_protocol ) of reference signals, and the second number is a number of reference signals for measurement specified by a protocol.

[0302] In some embodiments, the terminal measures each cell in the cell A by using N RS reference signals to obtain a measurement result D of each cell in the cell A. It can also be understood that the terminal measures each cell in the cell A for N RS times to obtain N RS measurement results of each cell in the cell A. That is, the number of measurements of each cell in the cell A is reduced, thereby reducing a measurement period T RS1 of each cell and further reducing a time T1 for obtaining the measurement result D.

[0303] In an example, assuming that N RS is 2 and N RS_protocol specified by the protocol is 5, the terminal measures the cell A by using 2 reference signals to obtain a measurement result D of the cell A. In other words, the terminal measures the cell A for 2 times to obtain the measurement result D of the cell A.

[0304] In some embodiments, a measurement time T D for obtaining the measurement result D of the cell A is a product of the number N RS of reference signals for measurement, T RS1 and N mea_config , which is expressed by a formula as T D =N RS ×T RS1 ×N mea_config .

[0305] In an example, in a case where the reference signal is an SSB and the terminal performs a gapless intra-frequency measurement, T RS1 =TSSB_measurement_period_intra, and a calculation method of TSSB_measurement_period_intra is shown in Table 5, which is a measurement period for a gapless intra-frequency measurement in FR1.

[0306] Table 5: Measurement period for gapless intra-frequency measurement (frequency FR1)

[0307] In an example, in a case where the reference signal is an SSB and the terminal performs a gapless inter-frequency measurement, T RS1= TSSB_measurement_period_inter, the calculation method of TSSB_measurement_period_inter is shown in Table 6, and Table 6 is a measurement period for FR1 inter-band gap inter-frequency measurement.

[0308] Table 6: Measurement period for inter-band gap inter-frequency measurement (frequency FR1)

[0309] In some embodiments, step S2203 can be omitted, and at this time, the measurement result D of the cell A can be obtained by acquiring the measurement result of the cell A at a historical time, and the measurement result D can also be obtained by acquiring the measurement result of the cell A from other terminals. In other words, the terminal can obtain the measurement result D of the cell A without performing measurement.

[0310] In step S2204, the terminal predicts the measurement result E of the cell A based on the measurement result D of the cell A.

[0311] In some embodiments, the terminal inputs the measurement result D into the AI model to obtain the measurement result E output by the AI model.

[0312] In some embodiments, the predicted measurement result E is equivalent to replacing the measurement result obtained by measuring the cell A using N RS_protocol RSs, or in other words, the predicted measurement result E is equivalent to replacing the measurement result obtained by measuring the cell A using RSs for N RS_protocol times.

[0313] In an example, assuming that N RS is 2 and the protocol specifies that N RS_protocol is 5, the terminal predicts the measurement result E of the cell A for 5 times based on the measurement result D obtained by measuring the cell A for 2 times.

[0314] In some embodiments, the predicted measurement result E is equivalent to replacing the measurement result obtained by measuring the cell A using (N RS_protocol -N RS ) RSs, or in other words, the predicted measurement result E is equivalent to replacing the measurement result obtained by measuring the cell A using RSs for (N RS_protocol -N RS ) times.

[0315] In an example, assuming that N RS is 2 and the protocol specifies that N RS_protocol is 5, the terminal predicts the measurement result E of the cell A for the remaining 3 times based on the measurement result D obtained by measuring the cell A for 2 times.

[0316] In an example, assuming that Nmea_config = 10, N RS_protocol = 5, N RS = 2, the terminal predicts the measurement result E of the cell A based on the measurement result D, as shown in FIG. 2E, which is a schematic diagram of the prediction process of the AI model corresponding to FIG. 2B.

[0317] In some embodiments, the time length T E for obtaining the measurement result E of the cell A can be determined based on the processing time length of the AI model.

[0318] In some embodiments, the processing time length of the AI model can be a fixed value (t pre ), which can be understood as that no matter how many measurement results the AI model needs to predict, the processing time length is t pre In this case, the time length T E for obtaining the measurement result E is E T pre = t

[0319] In some embodiments, t pre may be associated with the AI model, and different AI models correspond to different t pre In an example, the time length T E for obtaining the measurement result E using the AI model 1 is T pre1 = t E , the time length for obtaining the measurement result E using the AI model 2 is T pre2 = t pre1 , and t pre2 is different from t

[0320] In some embodiments, the prediction time length is positively correlated with the number of cells A (N pre ) used for prediction. In other words, the more the number of cells A used for prediction, the longer the prediction time length. In an example, the prediction time length increases linearly with the increase of the number of cells A. In an example, the prediction time length increases exponentially with the increase of the number of cells A. In an example, the prediction time length increases polynomially with the increase of the number of cells A.

[0321] In some embodiments, the prediction time length is proportional to the number of cells A, which can be expressed as T E = N pre × t pre In this case, t pre may be understood as the prediction time length of the AI model for predicting once for one cell.

[0322] In some embodiments, the prediction time length is at least partially proportional to the number of cells A, in which case t pre ≤ T E ≤ Npre xt pre In an example, T E = (N pre -k)xt pre + t pre , k is a predefined value.

[0323] In step S2205, the terminal determines the measurement result B of the cell A based on the measurement result E of the cell A.

[0324] In some embodiments, in the case that the measurement result E is equivalent to a measurement result obtained by measuring the cell A by using N RS_protocol RSs instead, the measurement result B of the cell A can be determined based on the plurality of measurement results E.

[0325] In an example, assuming that the protocol specifies N RS_protocol = 5, the terminal determines the measurement result B of each cell in the cell A based on the 5 predicted measurement results E of each cell in the cell A. For example, for each cell in the cell A, the average of the 5 measurement results E is calculated to obtain the measurement result B of each cell.

[0326] In some embodiments, in the case that the measurement result E is equivalent to a measurement result obtained by measuring the cell A by using (N RS_protocol -N RS ) RSs instead, the measurement result B of the cell A can be determined based on the measurement result E and the measurement result D.

[0327] In an example, assuming that N RS = 2 and the protocol specifies N RS_protocol = 5, the terminal determines the measurement result B of each cell in the cell A based on the 3 predicted measurement results E of each cell in the cell A and the 2 measured measurement results D of each cell in the cell A. For example, for each cell in the cell A, the average of the sum of the measurement result E and the measurement result D is calculated to obtain the measurement result B of each cell.

[0328] In some embodiments, in the case that the terminal performs step S2203, the time length T B for obtaining the measurement result B of the cell A includes the time length T D for measuring the measurement result D of the cell A and the time length T E for predicting the measurement result E of the cell A, which is expressed by the formula T B = T D + T E .

[0329] In some embodiments, in the case that step S2203 is omitted, the time length T BThe prediction duration T only includes the measurement result E of the predicted cell A E , which is expressed as T B = T E .

[0330] In step S2206, the terminal sends the measurement result A of the cell A.

[0331] In some embodiments, the measurement result A includes the measurement result B.

[0332] In some embodiments, the first duration (T1) of obtaining the measurement result A includes the duration B (T B ) of obtaining the measurement result B.

[0333] In the embodiments of the present disclosure, by reducing the number of measured RSs of one cell, the measurement period of one cell is less than the preconfigured preset measurement period, thereby reducing the measurement duration. In addition, since the prediction duration of one cell is less than the measurement duration of one cell, the present disclosure further predicts the measurement result by the AI model, further reduces the measurement delay, improves the measurement efficiency, and enhances the RRM measurement.

[0334] The communication method related to the embodiments of the present disclosure can include at least one of steps S2201 to S2206. For example, step S2201 can be implemented as an independent embodiment. For example, step S2202 can be implemented as an independent embodiment. For example, step S2203 can be implemented as an independent embodiment. For example, step S2204 can be implemented as an independent embodiment. For example, step S2205 can be implemented as an independent embodiment. For example, step S2206 can be implemented as an independent embodiment. For example, step S2201 and step S2202 can be combined as an independent embodiment. For example, step S2203, step S2204 and step S2205 can be combined as an independent embodiment. For example, step S2202, step S2203, step S2204 and step S2205 can be combined as an independent embodiment. For example, step S2204, step S2205 and step S2206 can be combined as an independent embodiment. For example, step S2203, step S2204, step S2205 and step S2206 can be combined as an independent embodiment. But not limited to this.

[0335] FIG. 2C is a third kind of interaction schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 2C, the present disclosure relates to a communication method. The communication method is performed by the communication system 100, and includes steps S2301 to S2305.

[0336] In step S2301, the terminal sends first information.

[0337] The optional implementation of step S2301 can refer to the optional implementation of step S2101 in FIG. 2A and other associated parts in the embodiments involved in FIG. 2A, which will not be repeated here.

[0338] In step S2302, the network device sends fifth information.

[0339] In some embodiments, the network device can include cell A. The fifth information can also include cell A and a first number of reference signals. The fifth information can further include cell A and a second number of reference signals. The first number is less than the second number.

[0340] The optional implementation of step S2302 can refer to the optional implementation of step S2102 in FIG. 2A and other associated parts in the embodiments involved in FIG. 2A, which will not be repeated here.

[0341] In step S2303, the terminal measures cell B based on the first number of reference signals to obtain a measurement result D of cell B.

[0342] In some embodiments, the measurement duration T D for the number N RS of RSs for measurement RS1 and the number (N mea ) of cells B for measurement D , which is expressed by the formula T RS =N RS1 ×T mea .

[0343] In some embodiments, the duration T B of the measurement result B includes the measurement duration T D of the measurement result D.

[0344] The optional implementation of step S2303 can refer to the optional implementation of step S2203 in FIG. 2B and other associated parts in the embodiments involved in FIG. 2B, which will not be repeated here.

[0345] In step S2304, the terminal predicts a measurement result A of cell A based on the measurement result D of cell B.

[0346] In some embodiments, the terminal inputs the measurement result D of cell B into an AI model to obtain the measurement result A of cell A output by the AI model, and the measurement result A includes a measurement result C of cell A.

[0347] In some embodiments, the predicted measurement result C is equivalent to a measurement result obtained by measuring cell A. That is, the terminal predicts a cell-level measurement result of cell A based on the measurement result D of cell B.

[0348] In some embodiments, the terminal inputs the measurement result D of cell B into the AI model to obtain a measurement result A of cell A output by the AI model, and the measurement result A includes a measurement result E of cell A.

[0349] In some embodiments, the predicted measurement result E is equivalent to a measurement result obtained by measuring cell A using N RS_protocol RSs, or in other words, the predicted measurement result E is equivalent to a measurement result obtained by measuring cell A N RS_protocol times using RSs. That is, the terminal predicts an RS-level measurement result of cell A based on the measurement result D of cell B. In this case, the terminal processes (for example, average processing) multiple measurement results E of each cell in cell A to obtain a measurement result C of cell A. In other words, the measurement result A of cell A is all based on the predicted measurement result C.

[0350] In some embodiments, the predicted measurement result E is equivalent to a measurement result obtained by measuring cell B using (N RS_protocol -N RS ) RSs and a measurement result obtained by measuring cell C (cell C is a cell in cell A other than cell B) using N RS_protocol RSs. That is, the terminal predicts an RS-level measurement result of cell A based on the measurement result D of cell B. In this case, the terminal processes (for example, average processing) the measurement result D of cell B and the measurement result E of cell B to obtain a measurement result B of cell B, and processes (for example, average processing) multiple measurement results E of each cell in cell C to obtain a measurement result C of cell C. In other words, part of the measurement result A of cell A is based on the predicted measurement result C, and part of the measurement result A of cell A is based on the measured measurement result B.

[0351] In an example, assuming N mea_config = 10, N RS_protocol = 5, N mea = 4, and N RS = 2, the terminal predicts the measurement result C of cell A based on the measurement result D, as shown in FIG. 2F, which is a schematic diagram of the prediction process of the AI model corresponding to FIG. 2C.

[0352] In step S2305, the terminal transmits the measurement result A of cell A.

[0353] In some embodiments, the measurement result A includes the measurement result B and the measurement result C.

[0354] In some embodiments, the measurement result A only includes the measurement result C.

[0355] In some embodiments, in the case that step S2303 is performed at the terminal, the time length T1 of the measurement result A includes the time length T B of the measurement result B and the time length T C of the measurement result C. The specific calculation method of T2 can refer to the optional implementation of step S2104 in FIG. 2A and the optional implementation of steps S2204 to S2205 in FIG. 2B.

[0356] In some embodiments, in the case that step S2303 is omitted, the time length T1 of the measurement result A only includes the time length T C of the measurement result C.

[0357] The communication method related to the embodiments of the present disclosure can include at least one of steps S2301 to S2305. For example, step S2301 can be implemented as an independent embodiment. For example, step S2302 can be implemented as an independent embodiment. For example, step S2303 can be implemented as an independent embodiment. For example, step S2304 can be implemented as an independent embodiment. For example, step S2305 can be implemented as an independent embodiment. For example, step S2301 and step S2302 can be combined to be implemented as an independent embodiment. For example, step S2302, step S2303 and step S2304 can be combined to be implemented as an independent embodiment. For example, step S2303 and step S2304 can be combined to be implemented as an independent embodiment. For example, step S2304 and step S2305 can be combined to be implemented as an independent embodiment. For example, step S2303, step S2304 and step S2305 can be combined to be implemented as an independent embodiment. But not limited to this.

[0358] In some embodiments, the terms “measurement result based on measurement”, “measurement result”, “measured measurement result” and the like can be replaced with each other.

[0359] In some embodiments, the terms “measurement result based on prediction”, “prediction result”, “predicted measurement result” and the like can be replaced with each other.

[0360] In some embodiments, the terms “measurement time length”, “measurement delay” and the like can be replaced with each other.

[0361] In some embodiments, the terms “prediction time length”, “prediction delay” and the like can be replaced with each other.

[0362] In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", "chip", and the like can be replaced with each other.

[0363] In some embodiments, terms such as "carrying", "including", "containing", "packaging", and the like can be replaced with each other.

[0364] In some embodiments, terms such as "radio", "wireless", "radio access network (RAN)", "access network (AN)", "RAN-based", and the like can be replaced with each other.

[0365] In some embodiments, "acquiring", "obtaining", "getting", "receiving", "transmitting", "bidirectional transmission", "sending and / or receiving", and the like can be replaced with each other, which can be interpreted as receiving from other subjects, acquiring from protocols, acquiring from higher layers, obtaining by processing oneself, implementing autonomously, and the like.

[0366] In some embodiments, terms such as "sending", "transmitting", "reporting", "transmitting", "requesting", "bidirectional transmission", "sending and / or receiving", and the like can be replaced with each other.

[0367] In some embodiments, terms such as "issuing", "returning", "feedback", "response", "reply", and the like can be replaced with each other.

[0368] In some embodiments, the terms "certain", "preset", "pre-set", "set", "indicated", "any", "first", and the like can be replaced with each other, "certain A", "preset A", "pre-set A", "set A", "indicated A", "any A", "first A" can be interpreted as A predetermined in a protocol or the like, can be interpreted as A obtained by setting, configuring, or indicating, or the like, can be interpreted as certain A, any A, or first A, and the like, but are not limited thereto.

[0369] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), can be made by a true or false value (Boolean value) represented by true or false, can be made by comparison of numerical values (for example, comparison with a predetermined value), but is not limited thereto.

[0370] FIG. 3A is a first flow diagram illustrating a communication method performed by a terminal according to an embodiment of the present disclosure. As shown in FIG. 3A, the present embodiment relates to a communication method performed by a terminal. The above communication method includes steps S3101 to S3110.

[0371] In step S3101, first information is transmitted.

[0372] The optional implementation of step S3101 can refer to the optional implementation of step S2101 of FIG. 2A, other associated parts in the embodiments related to FIG. 2A, and the like, which will not be repeated here.

[0373] In step S3102, fifth information is received.

[0374] The optional implementation of step S3102 can refer to the optional implementation of step S2102 of FIG. 2A, other associated parts in the embodiments related to FIG. 2A, and the like, which will not be repeated here.

[0375] In step S3103, cell B is measured based on the second number of reference signals, and a measurement result B is obtained.

[0376] The optional implementation of step S3103 can refer to the optional implementation of step S2103 of FIG. 2A, other associated parts in the embodiments related to FIG. 2A, and the like, which will not be repeated here.

[0377] In step S3104, a measurement result C of cell C is predicted based on the measurement result B of cell B.

[0378] The optional implementation of step S3104 can refer to the optional implementation of step S2104 in FIG. 2A, other associated parts in the embodiments related to FIG. 2A, and details are not described herein.

[0379] In step S3105, the cell A is measured based on the first quantity of reference signals, and a measurement result D of the cell A is obtained.

[0380] The optional implementation of step S3105 can refer to the optional implementation of step S2203 in FIG. 2B, other associated parts in the embodiments related to FIG. 2B, and details are not described herein.

[0381] In step S3106, a measurement result E of the cell A is predicted based on the measurement result D of the cell A.

[0382] The optional implementation of step S3106 can refer to the optional implementation of step S2204 in FIG. 2B, other associated parts in the embodiments related to FIG. 2B, and details are not described herein.

[0383] In step S3107, a measurement result B of the cell A is determined based on the measurement result E of the cell A.

[0384] The optional implementation of step S3107 can refer to the optional implementation of step S2205 in FIG. 2B, other associated parts in the embodiments related to FIG. 2B, and details are not described herein.

[0385] In step S3108, the cell B is measured based on the first quantity of reference signals, and a measurement result D of the cell B is obtained.

[0386] The optional implementation of step S3108 can refer to the optional implementation of step S2303 in FIG. 2C, other associated parts in the embodiments related to FIG. 2C, and details are not described herein.

[0387] In step S3109, a measurement result A of the cell A is predicted based on the measurement result D of the cell B.

[0388] The optional implementation of step S3109 can refer to the optional implementation of step S2304 in FIG. 2C, other associated parts in the embodiments related to FIG. 2C, and details are not described herein.

[0389] In step S3110, the measurement result A of the cell A is sent.

[0390] The optional implementation of step S3110 can refer to the optional implementation of step S2105 in FIG. 2A, the optional implementation of step S2206 in FIG. 2B, the optional implementation of step S2305 in FIG. 2C, other associated parts in the embodiments related to FIG. 2A, other associated parts in the embodiments related to FIG. 2B, and other associated parts in the embodiments related to FIG. 2C, which are not described herein again.

[0391] The communication method related to the embodiments of the present disclosure can include at least one of steps S3101 to S3110. For example, step S3101 can be implemented as an independent embodiment. For example, step S3102 can be implemented as an independent embodiment. For example, step S3103 can be implemented as an independent embodiment. For example, step S3104 can be implemented as an independent embodiment. For example, step S3105 can be implemented as an independent embodiment. For example, step S3106 can be implemented as an independent embodiment. For example, step S3107 can be implemented as an independent embodiment. For example, step S3108 can be implemented as an independent embodiment. For example, step S3109 can be implemented as an independent embodiment. For example, step S3110 can be implemented as an independent embodiment. For example, step S3103 and step S3104 can be combined to be implemented as an independent embodiment. For example, step S3105, step S3106, and step S3107 can be combined to be implemented as an independent embodiment. For example, step S3108 and step S3109 can be combined to be implemented as an independent embodiment.

[0392] In some embodiments, step S3103, step S3105, and step S3108 can be omitted.

[0393] FIG. 3B is a first flow diagram of a communication method performed by a network device according to embodiments of the present disclosure. As shown in FIG. 3B, the embodiments of the present disclosure relate to a communication method, which is performed by a network device. The above-mentioned communication method includes steps S3201 to S3203.

[0394] In step S3201, first information is received.

[0395] The optional implementation of step S3201 can refer to the optional implementation of step S2101 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which are not described herein again.

[0396] In step S3202, fifth information is sent.

[0397] The optional implementation of step S3202 can refer to the optional implementation of step S2102 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which are not described herein again.

[0398] In step S3203, the measurement result A of the cell A is received.

[0399] The optional implementation of step S3203 can refer to the optional implementation of step S2105 in FIG. 2A, the optional implementation of step S2206 in FIG. 2B, the optional implementation of step S2305 in FIG. 2C, other associated parts in the embodiments related to FIG. 2A, other associated parts in the embodiments related to FIG. 2B, and other associated parts in the embodiments related to FIG. 2C, which are not described herein again.

[0400] FIG. 4A is a second flow diagram of a method of performing communication by a terminal according to an embodiment of the present disclosure. As shown in FIG. 4A, the embodiment of the present disclosure relates to a method of communication, which is performed by a terminal. The method of communication includes steps S4101-S4102.

[0401] In step S4101, measurement results of a plurality of first cells are obtained.

[0402] The optional implementation of step S4101 can refer to the optional implementation of steps S2103-S2104 in FIG. 2A, the optional implementation of steps S2203-S2205 in FIG. 2B, the optional implementation of steps S2303-S2304 in FIG. 2C, other associated parts in the embodiments related to FIG. 2A, other associated parts in the embodiments related to FIG. 2B, and other associated parts in the embodiments related to FIG. 2C, which are not described herein again.

[0403] In step S4102, the measurement results of the plurality of first cells are sent.

[0404] The optional implementation of step S4102 can refer to the optional implementation of step S2105 in FIG. 2A, the optional implementation of step S2206 in FIG. 2B, the optional implementation of step S2305 in FIG. 2C, other associated parts in the embodiments related to FIG. 2A, other associated parts in the embodiments related to FIG. 2B, and other associated parts in the embodiments related to FIG. 2C, which are not described herein again.

[0405] FIG. 4B is a second flow diagram of a method of performing communication by a network device according to an embodiment of the present disclosure. As shown in FIG. 4B, the embodiment of the present disclosure relates to a method of communication, which is performed by a network device. The method of communication includes step S4201.

[0406] In step S4201, measurement results of a plurality of first cells are received.

[0407] The optional implementation of step S4201 can refer to the optional implementation of step S2105 in FIG. 2A, the optional implementation of step S2206 in FIG. 2B, the optional implementation of step S2305 in FIG. 2C, other associated parts in the embodiments related to FIG. 2A, other associated parts in the embodiments related to FIG. 2B, and other associated parts in the embodiments related to FIG. 2C, which are not described herein again.

[0408] In the following, the technical solutions of the embodiments of the present disclosure are exemplarily described through specific implementation manners.

[0409] In some embodiments, UE capability is defined in AI-based RRM.

[0410] In some embodiments, AI-based measurement delay and reporting delay are defined.

[0411] In some embodiments, the network device configures the UE to report measurement results of multiple cells.

[0412] In some embodiments, the measurement results of multiple cells include measurement results obtained by the UE measuring a subset of cells and / or measurement results obtained by the UE predicting a full set of cells.

[0413] In some embodiments, the total delay includes a measurement delay and / or a prediction delay.

[0414] In some embodiments, different measurement delays are defined based on different UE capabilities.

[0415] In some embodiments, the UE can support the capability of reducing the number of measured cells, while the number of measured RS is not reduced.

[0416] In some embodiments, for non-AI-based measurement, if the UE is configured to report the RSRP of 10 cells on 5 component carriers, the UE needs to measure all the cells. With AI, the UE can only measure one or two cells (cell 1 to k), and predict the RSRP of other cells (cell k+1 to n). While the measurement of one cell does not reduce the 5 RS. In this way, the measurement delay does not need to be scaled by 5 cells. The measurement delay will be reduced. The reduction of the number of measured cells is a new UE capability, which should be reported to the network device.

[0417] In some embodiments, the new capability shall include two possible options: Option 1, indicating the capability of the number of cells needed to be measured for prediction. Option 2, indicating the capability of the ratio of the number of cells measured / the number of cells configured. For example, if the total number of cells configured to be reported is 8, if the ratio is 1 / 4, then the number of cells to be measured is 2. The new capability can be defined as P.

[0418] In some embodiments, the measurement delay includes: for Option 1, 5*T mea *P. For Option 2, 5*T mea *P*N cell_config . Where T mea is the period of RS for measurement, N cell_config is the number of cells configured to be reported, and P is the UE capability.

[0419] In some embodiments, for Option 1, P indicates the number of cells needed to be measured for prediction. For Option 2, P is a ratio, which is the number of cells measured / the number of cells configured.

[0420] In some embodiments, the UE can support the capability of reducing the number of measurement RSs of one cell, but keeping the capability of measuring the number of cells. In this case, the number of cells to be measured will not change. The UE can reduce the number of measurements of each cell and predict other RSRP results of each cell. The reduced number of samples is a new UE capability to be defined. The total measurement delay is N mea *T mea *N cell_config . Where N mea is the UE capability indicating the number of RSs needed for one cell. T mea is the period of RS for measurement. N cell_config is the number of cells configured to be reported

[0421] In some embodiments, the UE can support the capability of reducing both the number of cells to be measured and the number of RSs to be measured. In this case, both the number of cells and the number of RSs of each cell to be measured can be reduced. It will include two functions, the measurement delay includes: Option 1, N mea *T mea *P. Option 2, N mea *T mea *P*N cell_config . Where N mea is the UE capability indicating the number of RSs needed for one cell. T mea is the period of RS for measurement. P is the UE capability, for Option 1: P indicates the number of cells needed to be measured for prediction. For Option 2, P is a ratio, which is the number of cells measured / the number of cells configured.

[0422] In some embodiments, the prediction delay is a fixed value, expressed as P = T rediction delay prediction .

[0423] In some embodiments, the prediction delay scales with the number of cells, expressed as P = N*T rediction delay prediction , where N is the number of predicted cells.

[0424] In some embodiments, the prediction delay is partly proportional to the number of cells.

[0425] In some embodiments, for the input of the artificial intelligence, there are two options: Option 1, instantaneous RSRP measurements of 1~k cells. Option 2, filtered RSRP measurements based on k samples of 1~k cells, such as average.

[0426] For the output of the artificial intelligence, there are two options: Option 1, instantaneous RSRP measurements of k+1~n cells. Option 2, filtered RSRP measurements based on 5 samples of k+1~n cells, such as average.

[0427] The embodiments of the present disclosure also propose a device for implementing any of the above methods, for example, a terminal including units or modules for implementing each step performed by the terminal in any of the above methods. For another example, another network device is also proposed, including units or modules for implementing each step performed by the network device (such as an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0428] ​​It should be understood that the division of each unit or module in the above apparatus is only a logical function division, and all or part of them can be integrated into a physical entity or physically separated in actual implementation. In addition, the units or modules in the apparatus can be implemented in the form of processor calling software: for example, the apparatus includes a processor, the processor is connected with a memory, the memory stores instructions, and the processor calls the instructions stored in the memory to realize the functions of any of the above methods or the units or modules of the above apparatus, wherein the processor is a general processor such as a central processing unit (CPU) or a microprocessor, and the memory is a memory in the apparatus or a memory outside the apparatus. Alternatively, the units or modules in the apparatus can be implemented in the form of hardware circuit, and the functions of part or all of the units or modules can be realized by the design of the hardware circuit. The above hardware circuit can be understood as one or more processors; for example, in one implementation, the above hardware circuit is an application-specific integrated circuit (ASIC), and the functions of part or all of the units or modules are realized by the design of the logical relationship between the elements in the circuit; for another example, in another implementation, the above hardware circuit is a programmable logic device (PLD), and a field programmable gate array (FPGA) is taken as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to realize the functions of part or all of the units or modules. All units or modules of the above apparatus can be all implemented in the form of processor calling software, or all implemented in the form of hardware circuit, or part implemented in the form of processor calling software and the remaining part implemented in the form of hardware circuit.

[0429] In the embodiments of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and running capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), a digital signal processor (DSP), and the like. In another implementation, the processor can implement certain functions through a logical relationship of hardware circuit, and the logical relationship of the hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In the reconfigurable hardware circuit, the processor loads a configuration document to implement the configuration of the hardware circuit. It can be understood that the processor loads instructions to implement the functions of the above part or all units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), and the like.

[0430] FIG. 5A is a structural schematic diagram of a terminal according to an embodiment of the present disclosure. As shown in FIG. 5A, the terminal 5100 can include a processing module 5101 and a transceiver module 5102. In some embodiments, the processing module 5101 is configured to determine a measurement result. The transceiver module 5102 is configured to send the measurement result to a network device, wherein the measurement result includes a first measurement result, wherein a time length for determining the first measurement result is a first time length, and the first time length is different from a second time length, and the second time length is a measurement time length corresponding to a second measurement result. In some embodiments, the transceiver module 5102 is configured to perform at least one of the communication steps (for example, steps S3101 and S3102, but not limited thereto) performed by the terminal in any of the above methods, details are not described herein again.

[0431] FIG. 5B is an exemplary structural diagram of a network device according to an embodiment of the present disclosure. As shown in FIG. 5B, the network device 5200 can include a transceiver module 5201. In some embodiments, the transceiver module 5201 can be configured to receive measurement results; wherein the measurement results include: a first measurement result, wherein a time length for determining the first measurement result is a first time length, the first time length is different from a second time length, the second time length is a measurement time length corresponding to a second measurement result. In some embodiments, the transceiver module 5201 can be configured to perform at least one of the communication steps (for example, steps S3201, S3202, but not limited to) of transmitting and / or receiving performed by the network device in any of the above methods, which will not be described here.

[0432] In some embodiments, the above transceiver module can include a transmitting module and / or a receiving module. The transmitting module and the receiving module can be separate or integrated together. Alternatively, the above transceiver module can be replaced by a transceiver.

[0433] FIG. 6 is a structural diagram of a communication device according to an embodiment of the present disclosure. The communication device 6100 can be a network device, a terminal (for example, a user equipment, etc.), a chip, a chip system, or a processor supporting the network device to implement any of the above methods, or a chip, a chip system, or a processor supporting the terminal to implement any of the above methods. The communication device 6100 can be used to implement the methods described in the above method embodiments, which can be referred to the descriptions in the above method embodiments.

[0434] As shown in FIG. 6, the communication device 6100 includes one or more processors 6101. The processor 6101 can be a general-purpose processor or a special-purpose processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (for example, a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process data of the programs. Optionally, the communication device 6100 is configured to execute any of the above methods. Optionally, the one or more processors 6101 are configured to invoke instructions to enable the communication device 6100 to execute any of the above methods.

[0435] In some embodiments, the communication device 6100 further includes one or more transceivers 6102. When the communication device 6100 includes one or more transceivers 6102, the transceiver 6102 performs at least one of the communication steps (for example, step S3101, step S3201, but not limited to this) in the above-described method, and the processor 6101 performs at least one of the other steps (for example, step S3103, step S3104, but not limited to this). In an optional embodiment, the transceiver 6102 can include a receiver and / or a transmitter, which can be separate or integrated together. Optionally, the terms transceiver, transceiving unit, transceiver, transceiving circuit, interface circuit, interface, etc. can be replaced with each other, and the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc. can be replaced with each other, and the terms receiver, receiving unit, receiver, receiving circuit, etc. can be replaced with each other.

[0436] In some embodiments, the communication device 6100 further includes one or more memories 6103 for storing data. Optionally, all or part of the memory 6103 can also be outside the communication device 6100. In an optional embodiment, the communication device 6100 can include one or more interface circuits 6104. Optionally, the interface circuit 6104 is connected with the memory 6103, and the interface circuit 6104 can be used to receive data from the memory 6103 or other devices, and can be used to send data to the memory 6103 or other devices. For example, the interface circuit 6104 can read the data stored in the memory 6103 and send the data to the processor 6101.

[0437] The communication device 6100 described in the above embodiments can be a network device or a terminal, but the scope of the communication device 6100 described in the present disclosure is not limited to this, and the structure of the communication device 6100 can not be limited by Figure 6. The communication device can be a stand-alone device or can be part of a larger device. For example, the communication device can be: 1) a stand-alone integrated circuit (IC), or a chip, or a chip system or subsystem; (2) a set of one or more ICs, which can optionally include a storage component for storing data, programs; (3) an ASIC, such as a Modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, a smart terminal device, a cellular phone, a wireless device, a handset, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0438] Figure 7 is a structural schematic diagram of a chip according to an embodiment of the present disclosure. For the case where the communication device 6100 can be a chip or a chip system, the structural schematic diagram of the chip 7100 shown in Figure 7 can be referred to, but not limited to this.

[0439] The chip 7100 comprises one or more processors 7101. The chip 7100 is configured to perform any of the above methods.

[0440] In some embodiments, the chip 7100 further comprises one or more interface circuits 7102. Optionally, the terms interface circuit, interface, transceiver pin, and the like can replace each other. In some embodiments, the chip 7100 further comprises one or more memories 7103 configured to store data. Optionally, all or part of the memory 7103 can be outside the chip 7100. Optionally, the interface circuit 7102 is connected with the memory 7103, the interface circuit 7102 can be configured to receive data from the memory 7103 or other devices, and the interface circuit 7102 can be configured to send data to the memory 7103 or other devices. For example, the interface circuit 7102 can read the data stored in the memory 7103 and send the data to the processor 7101.

[0441] In some embodiments, the interface circuit 7102 performs at least one of the communication steps (for example, step S3101, step S3201, but not limited to this) such as sending and / or receiving in the above methods. The interface circuit 7102 performing the communication steps such as sending and / or receiving in the above methods means that the interface circuit 7102 performs data interaction between the processor 7101, the chip 7100, the memory 7103, or the transceiver device. In some embodiments, the processor 7101 performs at least one of the other steps (for example, step S3103, step S3104, but not limited to this).

[0442] The modules and / or devices described in each of the embodiments of the virtual device, the physical device, the chip, and the like can be combined or separated as appropriate. Optionally, part or all of the steps can also be performed by multiple modules and / or devices in cooperation, which is not limited here.

[0443] The embodiments of the present disclosure also propose a storage medium, and the storage medium stores instructions. When the instructions run on the communication device 6100, the communication device 6100 performs any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer readable storage medium, but is not limited to this, and it can also be a storage medium readable by other devices. Optionally, the storage medium can be a non-transitory storage medium, but is not limited to this, and it can also be a transitory storage medium.

[0444] The embodiments of the present disclosure also propose a program product, and the program product is executed by the communication device 6100, so that the communication device 6100 performs any of the above methods. Optionally, the program product is a computer program product.

[0445] The embodiments of the present disclosure further provide a computer program, which, when running on a computer, enables the computer to perform any of the above methods.

[0446] Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the application disclosed herein. It is intended that the present application cover any and all variations of the application that come within the scope of the following claims and their equivalents. It is intended that the specification and examples be considered exemplary only, with the true scope and spirit of the application being indicated by the following claims.

[0447] It is to be understood that the application is not limited to particular details described herein and as illustrated in the figures and can be practiced with modification and alteration within the scope of the claims. The scope of the application should only be determined with reference to the following claims.

Claims

1. A communication method, performed by a terminal, the method comprising: determining a measurement result; and transmitting the measurement result to a network device, wherein the measurement result comprises a first measurement result, wherein a time length for determining the first measurement result is a first time length, and the first time length is different from a second time length corresponding to a second measurement result. The first measurement result comprises measurement results of a plurality of first cells. The first measurement result comprises measurement results obtained based on measurement and / or prediction. The first time length comprises a first measurement period of at least one cell of the plurality of first cells, and the second time length comprises a second measurement period of at least one cell of the plurality of first cells, and the first measurement period is less than the second measurement period.

2. The method of claim 1, wherein, The second measurement result is used to determine the first measurement result, and a cell corresponding to the second measurement result is different from a cell corresponding to the first measurement result.

3. The method of claim 1 or 2, wherein, A prediction time length for predicting one cell of the plurality of first cells is less than a measurement time length for measuring the one cell once.

4. The method of claim 2 or 3, wherein, The second measurement result comprises measurement results of at least one second cell, and the second cell is part of the plurality of first cells.

5. The method of claim 4, wherein, The first measurement result comprises measurement results of at least one third cell, and the third cell is at least part of the plurality of first cells.

6. The method according to any one of claims 2 to 5, wherein, The third cell is a cell of the plurality of first cells other than a second cell.

7. The method according to any one of claims 2 to 6, wherein, The first measurement result is based on a first reference signal, and a quantity of the first reference signal is less than a preset value, and the preset value is a quantity of a reference signal used to determine a second measurement result.

8. The method according to any one of claims 2 to 7, wherein, A measurement result of one second cell is based on a first quantity of a first reference signal, and the first quantity is less than a second quantity, and the second quantity is a quantity of a reference signal configured by the network device for the plurality of first cells.

9. The method of claim 8, wherein, The measurement result of the one second cell comprises a third measurement result and / or a fourth measurement result, the third measurement result is based on measurement of the first reference signal, and the fourth measurement result is based on prediction of the fourth measurement result.

10. The method of any one of claims 1 to 9, wherein, A second time length of the second measurement result is determined based on first information, and the first information is used to indicate a support capability of the terminal for radio resource management (RRM) measurement.

11. The method according to any one of claims 7 to 10, wherein, The support capability comprises a quantity of cells supported by the terminal for measurement, and the first time length is determined based on the quantity of cells for measurement and a measurement period of one cell.

12. The method of claim 11, wherein, The support capability comprises a quantity of reference signals supported by the terminal for measurement, and the measurement period of the one cell is determined based on the quantity of reference signals for measurement and a measurement period of one reference signal.

13. The method according to any one of claims 1 to 12, wherein, The first information comprises at least one of the following:

14. The method of claim 13, wherein, second information used to indicate a quantity of cells supported by the terminal for measurement; 15. The method of claim 13, wherein, third information used to indicate a first ratio supported by the terminal; and the first ratio is a ratio of the quantity of cells for measurement to a quantity of cells configured by the network device.

16. The method of claim 13, wherein, ​ ​ ​ The fourth information is used for indicating that the terminal supports a quantity of reference signals for measurement.

17. The method of any one of claims 1 to 16, wherein, The first time length is positively correlated with the quantity of cells for prediction.

18. The method of any one of claims 1 to 17, wherein, The method further comprises: The first measurement result is determined by a first measurement manner. The first measurement manner is different from a second measurement manner, a quantity of reference signals corresponding to the first measurement manner is less than a quantity of reference signals corresponding to the second measurement manner, and the second measurement result is determined by the second measurement manner.

19. The method of any one of claims 1 to 17, wherein, The method further comprises: The first measurement result is determined by a first measurement manner, and the first measurement result corresponds to a plurality of first cells. The reference signals corresponding to the first measurement manner are derived from a second cell, or the reference signals corresponding to the first measurement manner are derived from a first cell and a second cell.

20. The method of any one of claims 1 to 17, wherein, The method further comprises: The first measurement result is determined by a first measurement manner, and the first measurement result corresponds to a cell different from a cell corresponding to the second measurement result. The input data corresponding to the first measurement manner includes part or all of the second measurement result.

21. A communication method, performed by a network device, the method comprising: receiving a measurement result; The measurement result includes a first measurement result, wherein a time length for determining the first measurement result is a first time length, the first time length is different from a second time length, and the second time length is a measurement time length corresponding to a second measurement result. The first measurement result includes measurement results of a plurality of first cells.

22. The method of claim 21, wherein, The first measurement result includes a measurement result obtained based on measurement and / or a measurement result obtained based on prediction.

23. The method of claim 21 or 22, wherein, The first time length includes a first measurement period of at least one cell in the plurality of first cells, the second time length includes a second measurement period of at least one cell in the plurality of first cells, and the first measurement period is less than the second measurement period.

24. The method of claim 22 or 23, wherein, The second measurement result is used for determining the first measurement result, and a cell corresponding to the second measurement result is different from a cell corresponding to the first measurement result.

25. The method of claim 24, wherein, A prediction time length for predicting one cell in the plurality of first cells is less than a measurement time length for measuring the one cell once.

26. The method of any one of claims 22 to 25, wherein, The second measurement result includes measurement results of at least one second cell, and the second cell is part of the plurality of first cells.

27. The method of any one of claims 22 to 26, wherein, The first measurement result includes measurement results of at least one third cell, and the third cell is at least part of the plurality of first cells.

28. The method of any one of claims 22 to 27, wherein, The third cell is a cell in the plurality of first cells except for a second cell.

29. The method of claim 28, wherein, The first measurement result is obtained based on a first quantity of first reference signals, and the first quantity is less than a preset value, and the preset value is a quantity of reference signals used for determining a second measurement result.

30. The method of any one of claims 21 to 29, wherein, A measurement result of a second cell is obtained based on a first quantity of first reference signals, and the first quantity is less than a second quantity, and the second quantity is a quantity of reference signals configured by the network device for the plurality of first cells.

31. The method of any one of claims 27 to 30, wherein, ​ 32. The method of claim 31, wherein, The measurement result of the one second cell comprises a third measurement result and / or a fourth measurement result, the third measurement result is measured based on the first reference signal, and the fourth measurement result is predicted based on the fourth measurement result.

33. The method of any one of claims 21 to 32, wherein, The second duration of the second measurement result is determined based on first information, and the first information is used to indicate a support capability of the terminal for radio resource management (RRM) measurement.

34. The method of claim 33, wherein, The support capability comprises a number of cells supported by the terminal for measurement, and the first duration is determined based on the number of measured cells and a measurement period of one cell.

35. The method of claim 33, wherein, The support capability comprises a number of reference signals supported by the terminal for measurement, and the measurement period of the one cell is determined based on the number of measured reference signals and a measurement period of one reference signal.

36. The method of claim 33, wherein, The first information comprises at least one of: second information used to indicate the number of cells supported by the terminal for measurement; third information used to indicate a first ratio supported by the terminal; the first ratio is a ratio of the number of cells for measurement to a number of cells configured by the network device; fourth information used to indicate the number of reference signals supported by the terminal for measurement.

37. The method of any one of claims 21 to 36, wherein, The first duration is positively correlated with the number of predicted cells.

38. The method of any one of claims 21 to 37, wherein, The first measurement result is determined by a first measurement manner; wherein the first measurement manner is different from a second measurement manner, a number of reference signals corresponding to the first measurement manner is less than a number of reference signals corresponding to the second measurement manner, and the second measurement result is determined by the second measurement manner.

39. The method of any one of claims 21 to 37, wherein, The first measurement result is determined by a first measurement manner, and the first measurement result corresponds to a plurality of first cells; wherein reference signals corresponding to the first measurement manner are derived from a second cell association, or the reference signals corresponding to the first measurement manner are derived from a first cell and a second cell.

40. The method of any one of claims 21 to 37, wherein, The first measurement result is determined by a first measurement manner, and a cell corresponding to the first measurement result is different from a cell corresponding to the second measurement result; wherein input data corresponding to the first measurement manner comprises part or all of the second measurement result.

41. A terminal, comprising: a processing module configured to determine a measurement result; a transceiver module configured to send the measurement result to a network device; wherein the measurement result comprises a first measurement result, wherein a duration for determining the first measurement result is a first duration, and the first duration is different from a second duration, and the second duration is a measurement duration corresponding to a second measurement result.

42. A network device, comprising: a transceiver module configured to receive a measurement result; wherein the measurement result comprises a first measurement result, wherein a duration for determining the first measurement result is a first duration, and the first duration is different from a second duration, and the second duration is a measurement duration corresponding to a second measurement result.

43. A terminal, comprising: one or more processors; wherein the terminal is configured to perform the communication method of any one of claims 1 to 20.

44. A network device, comprising: one or more processors; wherein the network device is configured to perform the communication method of any one of claims 21 to 40.

45. A communication system including a terminal and network equipment, wherein The terminal is configured to implement the communication method of any one of claims 1 to 20; and the network device is configured to implement the communication method of any one of claims 21 to 40. 46.A storage medium, storing instructions, which, when executed on a terminal or a network device, cause the terminal to perform the communication method of any one of claims 1 to 20, and cause the network device to perform the communication method of any one of claims 21 to 40. 47.A computer program product, comprising a computer program, which, when executed by a processor, implements the communication method of any one of claims 1 to 40.

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