Communication method and communication apparatus

Abstract

The present application provides a communication method and a communication apparatus applied to the technical field of wireless communication. In the technical solution provided by the present application, a network device may send second information to a terminal after acquiring information indicating a capability of the terminal to predict a neighboring cell measurement result, the second information instructing the terminal to predict a neighboring cell measurement result, such that the terminal can acquire the neighboring cell measurement result. In the technical solution provided by the present application, when an operating frequency point of a cell where a terminal is located is inconsistent with an operating frequency point of a neighboring cell and the terminal does not support gap measurement, a network device may instruct the terminal to acquire a neighboring cell measurement result by means of prediction, such that terminals that do not support gap measurement can acquire neighboring cell measurement results without accessing the neighboring cells.

Description

Communication method and communication device

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on April 3, 2024, with application number 202410406948.0 and application name “Communication Method and Communication Device”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to the field of wireless communications, and in particular to a communication method and a communication device. Background Art

[0003] Neighboring cell measurement involves a terminal measuring information such as the signal quality of neighboring cells. For example, if the operating frequency of a neighboring cell differs from that of the terminal's own cell, the terminal must switch its operating frequency to that of the neighboring cell to measure the neighboring cell's reference signal. After the measurement is complete, the terminal will switch its operating frequency back to the operating frequency of the terminal's own cell. This process is generally referred to as a gap measurement.

[0004] However, this method has the following technical problems: the terminal needs to support gap measurement, or in other words, a terminal that does not support gap measurement cannot implement neighboring cell measurement without accessing a neighboring cell. Summary of the Invention

[0005] The present application provides a communication method and a communication device, which are applied in the field of wireless communications. The present application provides a method for obtaining neighboring cell measurement results when a terminal does not support gap measurement, thereby improving the communication performance of the terminal and increasing the flexibility of obtaining neighboring cell measurement results.

[0006] In a first aspect, the present application provides a communication method, which is applied to a network device, and the method includes: obtaining first information, where the first information indicates a first capability of a terminal, where the first capability includes the ability of the terminal to predict neighboring area measurement results; and sending second information based on the first information, where the second information indicates that the terminal predicts the neighboring area measurement results.

[0007] As an example, the method can be executed by a network device, or can be executed by a chip system, hardware circuit and / or software module applied to the network device, or can be implemented by other devices that can implement the functions of the network device, without limitation here.

[0008] As an example, the first capability may include the terminal's ability to obtain neighboring cell measurement results. For example, the first capability may include the terminal's ability to predict neighboring cell measurement results. For another example, when the terminal supports gap measurement, the first capability may also include the terminal's ability to support gap measurement.

[0009] As an example, the terminal may implement the prediction of neighboring area measurement results through an artificial intelligence (AI) module. The AI ​​module may be located in the terminal, in other devices, or as an independent network entity, and is not limited here. It should be noted that the terminal may also implement the prediction of neighboring area measurement results through other functional modules, or the terminal may obtain neighboring area measurement results through other means, and this application does not limit this.

[0010] As an example, the network device may obtain the first information from the terminal. For example, when accessing the network device, the terminal may send the first information to the network device, where the first information indicates the first capability of the terminal. Accordingly, the network device may receive the first information. The first information may be carried in a radio resource control (RRC) protocol message or other message, which is not limited here.

[0011] As an example, the network device may obtain the first information from other network devices or a core network.

[0012] In this technical solution, after obtaining the first information, the network device may send second information to the terminal based on the first information to instruct the terminal to predict the neighboring cell measurement result. As an example, the second information may be carried in an RRC message, a media access control-control element (MAC-CE) signaling, or other messages, without limitation herein.

[0013] In this technical solution, when the operating frequency of a neighboring cell is inconsistent with the operating frequency of the cell in which the terminal is located, and the terminal does not support gap measurement, the network device can instruct the terminal to obtain neighboring cell measurement results through prediction. This allows the terminal, which does not support gap measurement, to obtain neighboring cell measurement results without accessing the neighboring cell. Furthermore, when the terminal predicts the neighboring cell measurement results, there is no need to perform gap handover, as the problem of a decrease in the terminal's peak throughput due to gap handover will not occur, thereby improving the terminal's communication performance. The process of switching the operating frequency of a terminal while performing gap measurement is called gap handover.

[0014] In combination with the first aspect, in some implementations of the first aspect, the second information further includes a first prediction method for the terminal to predict the neighboring cell measurement result.

[0015] In this implementation, when instructing the terminal to predict the neighboring cell measurement result, the network device may also instruct the terminal to predict the prediction configuration of the neighboring cell measurement result.

[0016] As an example, the prediction configuration may be carried in the second information and sent to the terminal.

[0017] As an example, the prediction configuration may include a prediction method for the terminal to predict the neighboring cell measurement result, such as the first prediction method.

[0018] As an example, the network device may determine the first prediction method based on network requirements, so that the neighboring cell measurement results predicted by the terminal based on the first prediction method meet the network requirements, thereby improving the optimization effect of the network device when performing network optimization based on the neighboring cell measurement results, and improving network performance. Network requirements include, for example, network coverage requirements, terminal access or service requirements, load balancing requirements, etc., which are not limited here.

[0019] In combination with the first aspect, in certain implementations of the first aspect, the first prediction method includes predicting the neighboring area measurement result based on the historical measurement results of the cell where the terminal is located; the second information also includes at least one of the following information: the first prediction time window length of the neighboring area measurement result, the first prediction accuracy of the neighboring area measurement result, the first prediction delay of the neighboring area measurement result, the first reporting delay of the neighboring area measurement result, or, a processing method when the terminal cannot predict the first neighboring area measurement result, and the first neighboring area measurement result is the neighboring area measurement result that the network device instructs the terminal to report.

[0020] As an example, the first prediction method may include predicting neighboring cell measurement results based on historical measurement results of the cell where the terminal is located. In the embodiment of the present application, the prediction method of predicting neighboring cell measurement results based on historical measurement results of the cell where the terminal is located may be called inter-frequency reasoning, or inter-frequency prediction.

[0021] In this implementation, the prediction configuration may also include at least one of the following prediction requirements: the time window length of the neighboring area measurement result predicted by the terminal should comply with the first prediction time window length, the accuracy of the neighboring area measurement result predicted by the terminal should comply with the first prediction accuracy, or the predicted delay of the terminal predicting the neighboring area measurement result should comply with the first prediction delay. The predicted delay of the terminal predicting the neighboring area measurement result can be understood as the time length from the moment the terminal receives the second information to the moment the terminal starts predicting the neighboring area measurement result. It should be noted that the first prediction time window length, the first prediction accuracy, or the first prediction delay can be a specific value or a range of values, and is not limited here. It should be understood that the first prediction method also belongs to the prediction requirement.

[0022] As an example, the prediction configuration may also include the following reporting requirements: the delay for the terminal to report the predicted neighboring cell measurement result to the network device must comply with the first reporting delay. The reporting delay can be understood as the duration from the moment the terminal predicts the neighboring cell measurement result to the moment the terminal reports the predicted neighboring cell measurement result to the network device. It should be noted that the first reporting delay can be a specific value or a range of values, and is not limited here.

[0023] In some implementations, the terminal may be unable to complete the prediction according to the prediction configuration issued by the network device, or the terminal may be unable to predict the first neighboring area measurement result, or the neighboring area measurement result predicted by the terminal may not conform to the first neighboring area measurement result. Therefore, the network device may also instruct the terminal on a processing method for failing to predict the first neighboring area measurement result. The first neighboring area measurement result may be understood as the neighboring area measurement result reported by the terminal instructed by the network device, or the first neighboring area measurement result may be a neighboring area measurement result that conforms to the prediction configuration.

[0024] As an example, the processing method may include: the terminal sends an indication message to the network device that the first neighboring area measurement result cannot be predicted, or the terminal may report the information it can provide (for example, the neighboring area measurement result with a time window length shorter or longer than the first predicted time window length).

[0025] In combination with the first aspect, in certain implementations of the first aspect, the terminal's ability to predict neighboring cell measurement results includes at least one of the following information: a prediction method supported by the terminal, a relationship between the supported prediction method and the communication frequency band, or performance-related parameters of the supported prediction method, the supported prediction method includes predicting the neighboring cell measurement results based on historical measurement results of the cell where the terminal is located, and the performance-related parameters of the supported prediction method include at least one of the following information: a sample input range, a prediction result range, a prediction accuracy, a prediction error, the number of cells supporting prediction, an identification range of cells supporting prediction, or the number of beams supporting prediction in each cell.

[0026] As an example, the prediction method supported by the terminal may include inter-frequency prediction.

[0027] For example, if the operating frequency of the cell in which the terminal is located is different from that of the neighboring cell, but the terminal supports gap measurement, the prediction method supported by the terminal may also include intra-frequency prediction. Intra-frequency prediction can be understood as a method of predicting the measurement results of the neighboring cell based on the historical measurement results of the terminal's neighboring cell. Intra-frequency prediction can also be called intra-frequency inference.

[0028] As an example, the prediction method supported by the terminal can also be associated with the communication frequency band. For example, band A can support same-frequency prediction, and band B can support different-frequency prediction. The band can include the band supported by the cell where the terminal is located, and can also include the band supported by the neighboring cell. It should be noted that the terminal can measure the signal quality of the cell where the terminal is located on the band supported by the cell where the terminal is located; and measure the signal quality of the neighboring cell on the band supported by the neighboring cell. A cell can support one or more bands.

[0029] In one possible implementation, the band can be divided into a measurement band and a prediction band, which can also be called an inference band. A preset mapping relationship exists between the measurement band and the prediction band. This preset mapping relationship can be set based on actual needs or configured by network equipment based on network requirements, and is not limited here. The terminal can measure signal quality on the measurement band and, based on the measurement results on the measurement band, predict signal quality on the prediction band, thereby obtaining the measurement results on the prediction band.

[0030] As an example, when the terminal performs inter-frequency prediction, the band supported by the cell where the terminal is located can be used as the measurement band, and the band supported by the neighboring cell can be used as the prediction band, thereby realizing the prediction of the neighboring cell measurement results; when the terminal performs intra-frequency prediction, the band supported by the neighboring cell can be used as both the measurement band and the prediction band, thereby realizing the prediction of the neighboring cell measurement results.

[0031] As an example, the sample input range may include a sample time window length and / or a sample data amount range. The sample may be a historical measurement result of the cell where the terminal is located or a historical measurement result of a neighboring cell.

[0032] As an example, the prediction result range may include the time window length of the predicted data and / or the data volume range of the predicted data. The predicted data may include the predicted neighboring area measurement results. In some embodiments, the data volume range of the predicted data may be related to the time window length of the predicted data. For example, when the time window length is 1 second (s), the data volume range is X, and when the time window length is 2 seconds, the data volume range is Y.

[0033] As an example, prediction accuracy can be related to the time window. For example, when the time window length is 1 second, the prediction accuracy is 90%, and when the time window length is 2 seconds, the prediction accuracy is 80%. For another example, assuming the terminal starts prediction at 0 seconds, the prediction accuracy corresponding to the time window from 0 seconds to 1 second can be 90%, and the prediction accuracy corresponding to the time window from 1 second to 2 seconds can be 80%. Prediction accuracy can also be called inference accuracy.

[0034] As an example, the relationship between the prediction error and the time window is similar to the relationship between the prediction accuracy and the time window length, and will not be described in detail here.

[0035] As an example, the prediction granularity of the prediction method supported by the terminal can be cell level, beam level, or band level. For example, when the prediction granularity of the prediction method is cell level, the performance parameters corresponding to the prediction method may include the number of cells supporting prediction and / or the identification range of cells supporting prediction. For another example, when the prediction granularity of the prediction method is beam level, the performance parameters corresponding to the prediction method may include the number of beams supporting prediction in each cell and / or the index value (index) of the beam supporting prediction.

[0036] In combination with the first aspect, in certain implementations of the first aspect, the neighboring area measurement result includes the neighboring area measurement result within a first preset time length, and the starting moment of the first preset time length is the moment when the terminal predicts the neighboring area measurement result.

[0037] In this implementation, the neighboring cell measurement results predicted by the terminal may include neighboring cell measurement results within a first preset duration. The start time of the first preset duration may be the time when the terminal begins predicting the neighboring cell measurement results. Compared to the neighboring cell measurement results obtained by the terminal based on gap measurement, the neighboring cell measurement results predicted by the terminal have a longer time window, thereby improving the optimization effect of the network device when performing network optimization based on the neighboring cell measurement results, thereby improving network performance.

[0038] As an example, the first preset duration can be set according to actual needs, or can be configured by the network device according to network needs, which is not limited here.

[0039] In combination with the first aspect, in some implementations of the first aspect, the method also includes: receiving third information, the third information indicating a first prediction result of the neighboring area measurement, the first prediction result is not obtained based on the first prediction method, or the first prediction result does not conform to the first prediction time window length, or the first prediction result does not conform to the first prediction accuracy, or the first prediction result does not conform to the first prediction delay, or the delay for the terminal to report the first prediction result does not conform to the first reporting delay.

[0040] In this implementation, after receiving the second information, the terminal may predict the neighboring cell measurement result and, after the prediction is complete, report the predicted neighboring cell measurement result to the network device. For example, the terminal may send third information to the network device, where the third information indicates the first predicted result of the neighboring cell measurement. In response, the network device may receive the third information.

[0041] In a possible implementation, the first prediction result reported by the terminal may not be consistent with the first neighboring cell measurement result, or the first prediction result may not be consistent with the prediction configuration sent by the network device.

[0042] In this implementation, the network device may adjust the prediction configuration of the neighboring cell measurement result based on the first prediction result reported by the terminal that does not conform to the first neighboring cell measurement result, so as to improve network performance.

[0043] In combination with the first aspect, in certain implementations of the first aspect, the third information also includes at least one of the following information: the reason why the first prediction result is not predicted based on the first prediction method, the reason why the first prediction result does not conform to the first prediction time window length, the reason why the first prediction result does not conform to the first prediction accuracy, the reason why the first prediction result does not conform to the first prediction delay, or the reason why the delay in the terminal reporting the first prediction result does not conform to the first reporting delay.

[0044] In this implementation, when the first prediction result reported by the terminal to the network device does not match the first neighboring cell measurement result, the terminal may also indicate to the network device the reason why the first prediction result does not match the first neighboring cell measurement result.

[0045] As an example, the reason why the first prediction result does not conform to the first neighboring area measurement result may include at least one of the following: insufficient computing power of the terminal, insufficient ability of the terminal to predict neighboring area measurement results, insufficient power of the terminal, excess computing power of the terminal, excess ability of the terminal to predict neighboring area measurement results, or excess power of the terminal.

[0046] It should be understood that when the terminal reports the first prediction result that does not conform to the first neighboring area measurement result, the reason why the first prediction result does not conform to the first neighboring area measurement result is implicitly indicated to the network device. Taking the time window as an example, when the time window length of the first prediction result is shorter than the first prediction time window length, it implicitly indicates that the terminal's computing power is insufficient, or the terminal's ability to predict the neighboring area measurement result is insufficient, or the terminal's battery power is insufficient; when the time window length of the first prediction result is longer than the first prediction time window length, it implicitly indicates that the terminal's computing power is excessive, or the terminal's ability to predict the neighboring area measurement result is excessive, or the terminal's battery power is excessive.

[0047] In combination with the first aspect, in some implementations of the first aspect, the method further includes: sending fourth information, where the fourth information instructs the terminal to predict the neighboring cell measurement result.

[0048] In this implementation, after receiving the third information, if the first prediction result reported by the terminal does not meet the network requirements, the network device may send fourth information to the terminal to instruct the terminal to predict the neighboring cell measurement result again.

[0049] As an example, the network device may adjust the prediction configuration of the neighboring cell measurement result based on the first prediction result, and send the updated prediction configuration to the terminal, so that the terminal predicts the neighboring cell measurement result again.

[0050] In combination with the first aspect, in certain implementations of the first aspect, before sending the fourth information, the method further includes: receiving fifth information, where the fifth information includes at least one of the following information recommended by the terminal: a second prediction method for predicting the neighboring area measurement result, a second prediction time window length of the neighboring area measurement result, a second prediction accuracy of the neighboring area measurement result, a second prediction delay of the neighboring area measurement result, or a second reporting delay for the terminal to report the neighboring area measurement result.

[0051] In this implementation, after obtaining the first prediction result, the terminal may also send a recommended prediction configuration to the network device.

[0052] As an example, the terminal may determine the recommended prediction configuration based on its own capabilities.

[0053] In combination with the first aspect, in certain implementations of the first aspect, the fifth information also includes at least one of the following information: the reason for recommending the second prediction method, the reason for recommending the second prediction time window length, the reason for recommending the second prediction accuracy, the reason for recommending the second prediction delay, or the reason for recommending the second reporting delay.

[0054] In this implementation, the terminal may also indicate to the network device the reason why the terminal recommends the predicted configuration.

[0055] As an example, the reason for recommending the second prediction method may be high prediction accuracy, small prediction error, etc.

[0056] As an example, the reason for recommending the second prediction time window length, the reason for recommending the second prediction accuracy, or the reason for recommending the second prediction delay may be compliance with the terminal's ability to predict neighboring cell measurement results.

[0057] As an example, the reason for recommending the second reporting delay may be compliance with the reporting capability of the terminal.

[0058] In combination with the first aspect, in some implementations of the first aspect, obtaining the first information includes: sending sixth information, where the sixth information is used to request the first information; and receiving the first information.

[0059] In this implementation, the network device may instruct the terminal to report the first capability of the terminal. For example, the network device may send sixth information to the terminal, the sixth information instructing the terminal to report the first capability of the terminal. After receiving the sixth information, the terminal may send the first information to the network device to indicate the first capability of the terminal, thereby facilitating the rational allocation of network resources.

[0060] In combination with the first aspect, in some implementations of the first aspect, before sending the second information based on the first information, the method further includes: receiving seventh information, where the seventh information is used to request the second information.

[0061] As an example, after sending the first information, the terminal can start a timer. If the terminal does not receive the second information after the timer expires, the terminal can send the seventh information to the network device to request the network device to indicate whether it is necessary to predict the neighboring area measurement results to improve network performance.

[0062] As an example, when a terminal itself has a prediction requirement, it can send the seventh information to the network device to request the network device to send indication information of the predicted neighboring area measurement result, thereby meeting the terminal's prediction requirement. In this example, the first information and the seventh information can be carried in the same message or in different messages, without limitation.

[0063] In combination with the first aspect, in certain implementations of the first aspect, when the neighboring cell measurement result is used for conditional switching CHO, the first capability further includes whether the terminal supports performing CHO based on the predicted CHO candidate cell measurement result.

[0064] In this implementation, in a conditional handover (CHO) scenario, the terminal can be assisted in selecting a target cell based on the predicted CHO candidate cell measurement results, thereby enabling the terminal to hand over to the target cell and improve network performance of the terminal. Therefore, when the predicted CHO candidate cell measurement results are applied to CHO, the network device can also obtain whether the terminal supports the ability to perform CHO based on the predicted CHO candidate cell measurement results.

[0065] In combination with the first aspect, in certain implementations of the first aspect, the method further includes: sending eighth information, the eighth information including at least one of the following information: indication information for selecting a target cell based on the CHO candidate cell measurement result, a first judgment criterion for selecting a target cell based on the CHO candidate cell measurement result, a correction method for the CHO candidate cell measurement result, an instruction for the terminal to report CHO process information, or a reporting method for the CHO process information, the CHO process information including at least one of the following information: the CHO candidate cell measurement result, a method for predicting the CHO candidate cell measurement result; prediction method, a correction method used when correcting the measurement result of the CHO candidate cell, the duration of the terminal performing CHO, the duration of the service interruption of the terminal, or the reason for selecting the target cell; wherein, when there are multiple CHO candidate cells, when the terminal predicts the measurement result of each CHO candidate cell in the CHO candidate cells, there are at least two CHO candidate cells in the CHO candidate cells that have at least one of the following information that is different: prediction method, length of the prediction time window of the measurement result, prediction accuracy of the measurement result, prediction delay of the measurement result, reporting delay of the measurement result, or correction method of the measurement result.

[0066] As an example, the eighth information can be carried in the same message as the second information and sent down, or can be carried in different messages and sent down, which is not limited here.

[0067] In this implementation, when a terminal supports CHO based on the predicted CHO candidate cell measurement results, the network device can issue an instruction to select a target cell based on the CHO candidate cell measurement results, thereby providing the terminal with a new target cell selection method and improving the flexibility of target cell selection. Furthermore, the network device can also issue a judgment criterion for selecting a target cell based on the CHO candidate cell measurement results to the terminal, thereby facilitating the terminal's target cell selection.

[0068] As an example, the network device can also send a correction method for the CHO candidate cell measurement result to the terminal, so that the terminal can correct the measurement result after predicting the CHO candidate cell measurement result, and select the target cell based on the corrected measurement result, thereby improving the accuracy of target cell selection.

[0069] As an example, the network device can also instruct the terminal to report CHO process information, which provides a reference for the network device or the source cell to make subsequent configuration decisions, helping to improve network performance. The source cell can be understood as the cell that the terminal accessed before switching to the target cell.

[0070] As an example, there may be multiple CHO candidate cells. When the terminal predicts the measurement result of each CHO candidate cell, the prediction configuration of each CHO candidate cell may be different or the same, and the correction method of the measurement result of each CHO candidate cell may be different or the same, which is not limited in this application.

[0071] In combination with the first aspect, in certain implementations of the first aspect, the first judgment criterion includes at least one of the following: the prediction accuracy of the target cell is greater than or equal to a first accuracy threshold, the predicted reference signal received power of the target cell is greater than or equal to a first power threshold within a second preset time length, or the prediction method used when predicting the measurement result of the target cell complies with the first preset prediction method.

[0072] In this implementation, the target cell may be a cell among the CHO candidate cells whose prediction accuracy is greater than or equal to the first accuracy threshold, or the target cell may be a cell among the CHO candidate cells whose predicted reference signal receiving power (RSRP) is greater than or equal to the first power threshold within a second preset time period, or the target cell may be a cell among the CHO candidate cells whose prediction method conforms to the first preset prediction method.

[0073] As an example, the first accuracy threshold, the first power threshold, the second preset duration, or the first preset prediction method can be set according to actual needs, or can be configured by the network device according to network needs, and are not limited here. For example, the first preset prediction method can be same-frequency prediction.

[0074] In combination with the first aspect, in certain implementations of the first aspect, when the neighboring cell measurement result is used for cell reselection, the first capability further includes whether the terminal supports performing cell reselection based on the predicted cell reselection candidate cell measurement result.

[0075] In this implementation, in cell reselection and reestablishment scenarios, the terminal can be assisted in selecting an access cell based on the predicted measurement results of candidate cells for cell reselection, thereby enabling the terminal to access the network. Therefore, when neighboring cell measurement results are used for cell reselection and reestablishment, the network device can also determine whether the terminal supports the capability to perform cell reselection based on the predicted measurement results of candidate cells for cell reselection. The access cell may also be referred to as the reestablishment cell.

[0076] In combination with the first aspect, in certain implementations of the first aspect, the method further includes: sending ninth information, the ninth information including at least one of the following information: indication information for selecting an access cell based on the cell reselection candidate cell measurement result, a second judgment criterion for selecting an access cell based on the cell reselection candidate cell measurement result, a correction method for the cell reselection candidate cell measurement result, an instruction for the terminal to report cell reselection process information, or a reporting method for the cell reselection process information, the cell reselection process information including at least one of the following information: the cell reselection candidate cell measurement result, a prediction of the cell reselection candidate cell. The terminal also includes a prediction method used when predicting the measurement result, a correction method used when correcting the measurement result of the cell reselection candidate cell, a duration for the terminal to perform cell reselection, or a reason for selecting the access cell; wherein, when there are multiple cell reselection candidate cells, when the terminal predicts the measurement result of each cell reselection candidate cell among the cell reselection candidate cells, at least two of the cell reselection candidate cells differ in at least one of the following information: a prediction method, a prediction time window length of the measurement result, a prediction accuracy of the measurement result, a prediction delay of the measurement result, a reporting delay of the measurement result, or a correction method for the measurement result.

[0077] As an example, the ninth information can be carried in the same message as the second information and sent down, or can be carried in different messages and sent down, and there is no limitation here.

[0078] In this implementation, when a terminal supports cell reselection based on predicted measurement results of candidate cells for cell reselection, the network device can issue instruction information for selecting an access cell based on the measurement results of the candidate cells for cell reselection, thereby providing the terminal with a new access cell selection method and improving access cell selection flexibility. Furthermore, the network device can also issue a judgment criterion for selecting an access cell based on the measurement results of the candidate cells for cell reselection to the terminal, thereby facilitating the terminal's access cell selection.

[0079] As an example, the network device may also send a correction method for the measurement result of the cell reselection candidate cell to the terminal, so that the terminal corrects the measurement result after predicting the measurement result of the cell reselection candidate cell, and selects an access cell based on the corrected measurement result, thereby improving the accuracy of the selection of the access cell.

[0080] As an example, the network device can also instruct the terminal to report cell reselection process information, which provides a reference for the network device or the last serving cell to make subsequent configuration decisions, helping to improve network performance. The last serving cell can be understood as the cell that provided service to the terminal before the terminal accessed the re-established cell.

[0081] As an example, the number of candidate cells for cell reselection may be multiple. When the terminal predicts the measurement result of each candidate cell for cell reselection, the prediction configuration of each candidate cell for cell reselection may be different or the same, and the correction method of the measurement result of each candidate cell for cell reselection may be different or the same, which is not limited in this application.

[0082] In combination with the first aspect, in certain implementations of the first aspect, the second judgment criterion includes at least one of the following: the prediction accuracy of the access cell is greater than or equal to the second accuracy prediction value, the predicted reference signal receiving power of the access cell is greater than or equal to the second power threshold within a third preset time length, the prediction method used when predicting the measurement result of the access cell complies with the second preset prediction method, or the access cell is the cell with the highest priority among the cell reselection candidate cells.

[0083] In this implementation, the access cell may be a cell among the cell reselection candidate cells whose prediction accuracy is greater than or equal to the second accuracy threshold, or the access cell may be a cell among the cell reselection candidate cells whose predicted RSRP is greater than or equal to the second power threshold within a third preset time period, or the access cell may be a cell among the cell reselection candidate cells whose prediction method conforms to the second preset prediction method, or the access cell may be the cell with the highest priority among the cell reselection candidate cells.

[0084] As an example, the second accuracy threshold, the second power threshold, the third preset duration, or the second preset prediction method can be set according to actual needs, or can be configured by the network device according to network needs, and are not limited here. For example, the second preset prediction method can be same-frequency prediction.

[0085] In combination with the first aspect, in certain implementations of the first aspect, the priority of the cell reselection candidate cell is determined by the R criterion and / or the S criterion, and the newly added correction item and / or correction coefficient in the R criterion and / or the S criterion is determined by at least one of the following information: a prediction method used when predicting the measurement result of the cell reselection candidate cell, a prediction time window length of the cell reselection candidate cell measurement result, a prediction accuracy of the cell reselection candidate cell measurement result, or a prediction delay of the cell reselection candidate cell measurement result.

[0086] In this implementation, the priorities of candidate cells for cell reselection may be determined by the R criterion and / or the S criterion. To improve the accuracy of priority calculation, correction terms and / or correction coefficients may be added to the R criterion and / or the S criterion.

[0087] As an example, the newly added correction item and / or correction coefficient in the R criterion and / or the S criterion may be determined based on at least one of the following information: a prediction method used when predicting the measurement result of the cell reselection candidate cell, a prediction time window length of the cell reselection candidate cell measurement result, a prediction accuracy of the cell reselection candidate cell measurement result, or a prediction delay of the cell reselection candidate cell measurement result.

[0088] In a second aspect, the present application provides a communication method, which is applied to a terminal, and the method includes: sending first information, where the first information indicates a first capability of the terminal, where the first capability includes the ability of the terminal to predict neighboring area measurement results; and receiving second information, where the second information indicates that the terminal predicts the neighboring area measurement results.

[0089] As an example, the method can be executed by a terminal, or can be executed by a chip system, hardware circuit and / or software module applied to the terminal, or can be implemented by other devices capable of implementing terminal functions, without limitation here.

[0090] As an example, the first capability may include the terminal's ability to obtain neighboring cell measurement results. For example, the first capability may include the terminal's ability to predict neighboring cell measurement results. For another example, when the terminal supports gap measurement, the first capability may also include the terminal's ability to support gap measurement.

[0091] As an example, the terminal can implement the prediction of neighboring area measurement results through the AI ​​module. The AI ​​module can be located in the terminal, in other devices, or as an independent network entity, and is not limited here. It should be noted that the terminal can also implement the prediction of neighboring area measurement results through other functional modules, or the terminal can obtain neighboring area measurement results through other methods, and this application does not limit this.

[0092] As an example, the terminal may proactively report the first capability of the terminal to the network device. For example, when accessing the network device, the terminal may send first information to the network device, where the first information indicates the first capability of the terminal. The first information may be carried in an RRC message or other message, which is not limited here.

[0093] As an example, the second information may be carried in an RRC message, a MAC-CE signaling, or other messages, which is not limited here.

[0094] As an example, after receiving the second information, the terminal may autonomously determine a prediction method for predicting the neighboring cell measurement result, thereby obtaining the neighboring cell measurement result.

[0095] In this technical solution, when the operating frequency of a neighboring cell is inconsistent with the operating frequency of the cell in which the terminal is located and the terminal does not support gap measurement, the terminal can obtain the neighboring cell measurement results through prediction. This allows the terminal, which does not support gap measurement, to obtain the neighboring cell measurement results without accessing the neighboring cell. Furthermore, when the terminal predicts the neighboring cell measurement results, there is no need to perform gap handover, as the peak throughput of the terminal does not decrease due to gap handover, thereby improving the terminal's communication performance. The process of switching the operating frequency of the terminal while performing gap measurement is called gap handover.

[0096] In combination with the second aspect, in certain implementations of the second aspect, the second information further includes a first prediction method in which the terminal predicts the neighboring cell measurement result.

[0097] In this implementation, when instructing the terminal to predict the neighboring cell measurement result, the network device may also instruct the terminal to predict the prediction configuration of the neighboring cell measurement result.

[0098] As an example, the prediction configuration may be carried in the second information and sent to the terminal.

[0099] As an example, the prediction configuration may include a prediction method for the terminal to predict the neighboring cell measurement result, such as the first prediction method.

[0100] In this implementation, the network device may determine the first prediction method based on network requirements, so that the neighboring cell measurement results predicted by the terminal based on the first prediction method meet the network requirements, thereby improving the optimization effect of the network device when performing network optimization based on the neighboring cell measurement results, and improving network performance. Network requirements include, for example, network coverage requirements, terminal access or service requirements, load balancing requirements, etc., which are not limited here.

[0101] As an example, the network device may determine the first prediction method based on network requirements. Network requirements include, for example, network coverage requirements, terminal access or service requirements, load balancing requirements, etc., which are not limited herein. It should be understood that, compared to neighboring cell measurement results predicted based on a prediction method autonomously determined by the terminal, the neighboring cell measurement results predicted by the terminal based on the first prediction method are more consistent with network requirements, thereby improving the optimization effect of the network device when performing network optimization based on the neighboring cell measurement results, and improving network performance.

[0102] In combination with the second aspect, in certain implementations of the second aspect, the first prediction method includes predicting the neighboring area measurement result based on the historical measurement results of the cell where the terminal is located; the second information also includes at least one of the following information: the first prediction time window length of the neighboring area measurement result, the first prediction accuracy of the neighboring area measurement result, the first prediction delay of the neighboring area measurement result, the first reporting delay of the neighboring area measurement result, or, a processing method when the terminal cannot predict the first neighboring area measurement result, and the first neighboring area measurement result is the neighboring area measurement result reported by the terminal instructed by the network device.

[0103] As an example, the first prediction method may include predicting neighboring cell measurement results based on historical measurement results of the cell where the terminal is located. In the embodiment of the present application, the prediction method of predicting neighboring cell measurement results based on historical measurement results of the cell where the terminal is located may be called inter-frequency reasoning, or inter-frequency prediction.

[0104] In this implementation, the prediction configuration may also include at least one of the following prediction requirements: the time window length of the neighboring area measurement result predicted by the terminal should comply with the first prediction time window length, the accuracy of the neighboring area measurement result predicted by the terminal should comply with the first prediction accuracy, or the predicted delay of the terminal predicting the neighboring area measurement result should comply with the first prediction delay. The predicted delay of the terminal predicting the neighboring area measurement result can be understood as the time length from the moment the terminal receives the second information to the moment the terminal starts predicting the neighboring area measurement result. It should be noted that the first prediction time window length, the first prediction accuracy, or the first prediction delay can be a specific value or a range of values, and is not limited here. It should be understood that the first prediction method also belongs to the prediction requirement.

[0105] As an example, the prediction configuration may also include the following reporting requirements: the delay for the terminal to report the predicted neighboring cell measurement result to the network device must comply with the first reporting delay. The reporting delay can be understood as the duration from the moment the terminal predicts the neighboring cell measurement result to the moment the terminal reports the predicted neighboring cell measurement result to the network device. It should be noted that the first reporting delay can be a specific value or a range of values, and is not limited here.

[0106] In some implementations, the terminal cannot predict the first neighboring cell measurement result, or the neighboring cell measurement result predicted by the terminal does not conform to the first neighboring cell measurement result, or the terminal may be unable to complete the prediction according to the prediction configuration issued by the network device. Therefore, the network device may also instruct the terminal on a processing method for failing to predict the first neighboring cell measurement result. The first neighboring cell measurement result can be understood as the neighboring cell measurement result reported by the terminal instructed by the network device, or the first neighboring cell measurement result is a neighboring cell measurement result that conforms to the prediction configuration.

[0107] As an example, the processing method may include: the terminal sends an indication message to the network device that the first neighboring area measurement result cannot be predicted, or the terminal may report the neighboring area measurement result that it can provide (for example, the neighboring area measurement result with a time window length shorter or longer than the first predicted time window length).

[0108] In combination with the second aspect, in certain implementations of the second aspect, the terminal's ability to predict neighboring cell measurement results includes at least one of the following information: a prediction method supported by the terminal, a relationship between the supported prediction method and the communication frequency band, or performance-related parameters of the supported prediction method, the supported prediction method includes predicting the neighboring cell measurement results based on historical measurement results of the cell where the terminal is located, and the performance-related parameters of the supported prediction method include at least one of the following information: a sample input range, a prediction result range, a prediction accuracy, a prediction error, the number of cells supporting prediction, an identification range of cells supporting prediction, or the number of beams supporting prediction in each cell.

[0109] As an example, the prediction method supported by the terminal may include inter-frequency prediction.

[0110] For example, if the operating frequency of the cell in which the terminal is located is different from that of the neighboring cell, but the terminal supports gap measurement, the prediction method supported by the terminal may also include intra-frequency prediction. Intra-frequency prediction can be understood as a method of predicting the measurement results of the neighboring cell based on the historical measurement results of the terminal's neighboring cell. Intra-frequency prediction can also be called intra-frequency inference.

[0111] As an example, the prediction method supported by the terminal can also be associated with the band. For example, band A can support intra-frequency prediction, and band B can support inter-frequency prediction. The band can include bands supported by the cell where the terminal is located, as well as bands supported by neighboring cells. It should be noted that the terminal can measure the signal quality of the cell where the terminal is located on the band supported by the cell where the terminal is located, and measure the signal quality of the neighboring cell on the band supported by the neighboring cell. A cell can support one or more bands.

[0112] In one possible implementation, the band can be divided into a measurement band and a prediction band, which can also be called an inference band. A preset mapping relationship exists between the measurement band and the prediction band. This preset mapping relationship can be set based on actual needs or configured by network equipment based on network requirements, and is not limited here. The terminal can measure signal quality on the measurement band and, based on the measurement results on the measurement band, predict signal quality on the prediction band, thereby obtaining the measurement results on the prediction band.

[0113] As an example, when the terminal performs inter-frequency prediction, the band supported by the cell where the terminal is located can be used as the measurement band, and the band supported by the neighboring cell can be used as the prediction band, thereby realizing the prediction of the neighboring cell measurement results; when the terminal performs intra-frequency prediction, the band supported by the neighboring cell can be used as both the measurement band and the prediction band, thereby realizing the prediction of the neighboring cell measurement results.

[0114] As an example, the sample input range may include a sample time window length and / or a sample data amount range. The sample may be a historical measurement result of the cell where the terminal is located or a historical measurement result of a neighboring cell.

[0115] As an example, the prediction result range may include the time window length of the prediction data and / or the data volume range of the prediction data. The prediction data may be the predicted neighboring area measurement results. In some embodiments, the data volume range of the prediction data may be related to the time window length of the prediction data. For example, when the time window length is 1 second (s), the data volume range is X, and when the time window length is 2 seconds, the data volume range is Y.

[0116] As an example, prediction accuracy can be related to the time window. For example, when the time window length is 1 second, the prediction accuracy is 90%, and when the time window length is 2 seconds, the prediction accuracy is 80%. For another example, assuming the terminal starts prediction at 0 seconds, the prediction accuracy corresponding to the time window from 0 seconds to 1 second can be 90%, and the prediction accuracy corresponding to the time window from 1 second to 2 seconds can be 80%. Prediction accuracy can also be called inference accuracy.

[0117] As an example, the relationship between the prediction error and the time window is similar to the relationship between the prediction accuracy and the time window length, and will not be described in detail here.

[0118] As an example, the prediction granularity of the prediction method supported by the terminal can be cell level, beam level, or band level. For example, when the prediction granularity of the prediction method is cell level, the performance parameters corresponding to the prediction method may include the number of cells supporting prediction and / or the identification range of cells supporting prediction. For another example, when the prediction granularity of the prediction method is beam level, the performance parameters corresponding to the prediction method may include the number of beams supporting prediction in each cell and / or the index value (index) of the beam supporting prediction.

[0119] In combination with the second aspect, in certain implementations of the second aspect, the neighboring area measurement result includes the neighboring area measurement result within a first preset time length, and the starting moment of the first preset time length is the moment when the terminal predicts the neighboring area measurement result.

[0120] In this implementation, the neighboring cell measurement results predicted by the terminal may include neighboring cell measurement results within a first preset duration. The start time of the first preset duration may be the time when the terminal begins predicting the neighboring cell measurement results. Compared to the neighboring cell measurement results obtained by the terminal based on gap measurement, the neighboring cell measurement results predicted by the terminal have a longer time window, thereby improving the optimization effect of the network device when performing network optimization based on the neighboring cell measurement results, thereby improving network performance.

[0121] As an example, the first preset duration can be set according to actual needs, or can be configured by the network device according to network needs, which is not limited here.

[0122] In combination with the second aspect, in some implementations of the second aspect, the method also includes: sending third information, wherein the third information indicates a first prediction result of the neighboring area measurement, the first prediction result is not obtained based on the first prediction method, or the first prediction result does not conform to the first prediction time window length, or the first prediction result does not conform to the first prediction accuracy, or the first prediction result does not conform to the first prediction delay, or the delay for the terminal to report the first prediction result does not conform to the first reporting delay.

[0123] In this implementation, after receiving the second information, the terminal may predict the neighboring cell measurement result and, after the prediction is completed, report the predicted neighboring cell measurement result to the network device. For example, the terminal may send third information to the network device, where the third information indicates the first predicted result of the neighboring cell measurement.

[0124] In a possible implementation, the first prediction result reported by the terminal may not be consistent with the first neighboring cell measurement result, or the first prediction result may not be consistent with the prediction configuration sent by the network device.

[0125] In this implementation, the terminal can report the first prediction result that does not conform to the first neighboring area measurement result to the network device, so that the network device can adjust the prediction configuration of the neighboring area measurement result based on the first prediction result to improve network performance.

[0126] In combination with the second aspect, in certain implementations of the second aspect, the third information also includes at least one of the following information: the reason why the first prediction result is not predicted based on the first prediction method, the reason why the first prediction result does not meet the first prediction time window length, the reason why the first prediction result does not meet the first prediction accuracy, the reason why the first prediction result does not meet the first prediction delay, or the reason why the delay in the terminal reporting the first prediction result does not meet the first reporting delay.

[0127] In this implementation, when the first prediction result reported by the terminal to the network device does not match the first neighboring cell measurement result, the terminal may also indicate to the network device the reason why the first prediction result does not match the first neighboring cell measurement result.

[0128] As an example, the reason why the first prediction result does not conform to the first neighboring area measurement result may include at least one of the following: insufficient computing power of the terminal, insufficient ability of the terminal to predict neighboring area measurement results, insufficient power of the terminal, excess computing power of the terminal, excess ability of the terminal to predict neighboring area measurement results, or excess power of the terminal.

[0129] It should be understood that when the terminal reports the first prediction result that does not conform to the first neighboring area measurement result, the reason why the first prediction result does not conform to the first neighboring area measurement result is implicitly indicated to the network device. Taking the time window as an example, when the time window length of the first prediction result is shorter than the first prediction time window length, it implicitly indicates that the terminal's computing power is insufficient, or the terminal's ability to predict the neighboring area measurement result is insufficient, or the terminal's battery power is insufficient; when the time window length of the first prediction result is longer than the first prediction time window length, it implicitly indicates that the terminal's computing power is excessive, or the terminal's ability to predict the neighboring area measurement result is excessive, or the terminal's battery power is excessive.

[0130] In combination with the second aspect, in some implementations of the second aspect, the method further includes: receiving fourth information, where the fourth information instructs the terminal to predict the neighboring cell measurement result.

[0131] In this implementation, after receiving the third information, if the first prediction result reported by the terminal does not meet the network requirements, the network device may send fourth information to the terminal to instruct the terminal to predict the neighboring cell measurement result again. Accordingly, the terminal may receive the fourth information.

[0132] As an example, the network device may adjust the prediction configuration of the neighboring cell measurement result based on the first prediction result, and send the updated prediction configuration to the terminal, so that the terminal predicts the neighboring cell measurement result again.

[0133] As an example, the terminal may autonomously determine a prediction method and predict neighboring cell measurement results again.

[0134] In combination with the second aspect, in certain implementations of the second aspect, before receiving the fourth information, the method further includes: sending fifth information, where the fifth information includes at least one of the following information recommended by the terminal: a second prediction method for predicting the neighboring area measurement result, a second prediction time window length of the neighboring area measurement result, a second prediction accuracy of the neighboring area measurement result, a second prediction delay of the neighboring area measurement result, or a second reporting delay for the terminal to report the neighboring area measurement result.

[0135] In this implementation, after obtaining the first prediction result, the terminal may also send a recommended prediction configuration to the network device.

[0136] As an example, the terminal may determine the recommended prediction configuration based on its own capabilities.

[0137] In combination with the second aspect, in certain implementations of the second aspect, the fifth information also includes at least one of the following information: the reason for recommending the second prediction method, the reason for recommending the second prediction time window length, the reason for recommending the second prediction accuracy, the reason for recommending the second prediction delay, or the reason for recommending the second reporting delay.

[0138] In this implementation, the terminal may also indicate to the network device the reason why the terminal recommends the predicted configuration.

[0139] As an example, the reason for recommending the second prediction method may be high prediction accuracy, small prediction error, etc.

[0140] As an example, the reason for recommending the second prediction time window length, the reason for recommending the second prediction accuracy, or the reason for recommending the second prediction delay may be compliance with the terminal's ability to predict neighboring cell measurement results.

[0141] As an example, the reason for recommending the second reporting delay may be compliance with the reporting capability of the terminal.

[0142] In combination with the second aspect, in some implementations of the second aspect, before sending the first information, the method further includes: receiving sixth information, where the sixth information is used to request the first information.

[0143] In this implementation, after receiving the sixth information sent by the network device, the terminal may send the first information to the network device to indicate the first capability of the terminal, thereby facilitating reasonable allocation of network resources.

[0144] In combination with the second aspect, in some implementations of the second aspect, before receiving the second information, the method further includes: sending seventh information, where the seventh information is used to request the second information.

[0145] As an example, after sending the first information, the terminal can start a timer. If the terminal does not receive the second information after the timer expires, the terminal can send the seventh information to the network device to request the network device to indicate whether it is necessary to predict the neighboring area measurement results to improve network performance.

[0146] As an example, when a terminal itself has a prediction requirement, it can send the seventh information to the network device to request the network device to send indication information of the predicted neighboring area measurement result, thereby meeting the terminal's prediction requirement. In this example, the first information and the seventh information can be carried in the same message or in different messages, without limitation.

[0147] In combination with the second aspect, in certain implementations of the second aspect, when the neighboring cell measurement result is used for conditional switching CHO, the first capability further includes whether the terminal supports performing CHO based on the predicted CHO candidate cell measurement result.

[0148] In this implementation, in a CHO scenario, the terminal can be assisted in selecting a target cell based on the predicted CHO candidate cell measurement results, thereby enabling the terminal to switch to the target cell and improve the terminal's network performance. Therefore, when the predicted CHO candidate cell measurement results are applied to CHO, the terminal's first capability may also include whether the terminal supports CHO based on the predicted CHO candidate cell measurement results.

[0149] In combination with the second aspect, in some implementations of the second aspect, the method further includes: receiving eighth information, the eighth information including at least one of the following information: indication information for selecting a target cell based on the CHO candidate cell measurement result, a first judgment criterion for selecting a target cell based on the CHO candidate cell measurement result, a correction method for the CHO candidate cell measurement result, an indication to the terminal to report CHO process information, or a reporting method for the CHO process information, the CHO process information including at least one of the following information: the CHO candidate cell measurement result, a method for predicting the CHO candidate cell measurement result; prediction method, a correction method used when correcting the measurement result of the CHO candidate cell, the duration of the terminal performing CHO, the duration of the service interruption of the terminal, or the reason for selecting the target cell; wherein, when there are multiple CHO candidate cells, when the terminal predicts the measurement result of each CHO candidate cell in the CHO candidate cells, there are at least two CHO candidate cells in the CHO candidate cells that have at least one of the following information that is different: prediction method, length of the prediction time window of the measurement result, prediction accuracy of the measurement result, prediction delay of the measurement result, reporting delay of the measurement result, or correction method of the measurement result.

[0150] As an example, the eighth information can be carried in the same message as the second information and sent down, or can be carried in different messages and sent down, which is not limited here.

[0151] In this implementation, when a terminal supports CHO based on predicted CHO candidate cell measurement results, the terminal can select a target cell based on the instruction information sent by the network device for selecting a target cell based on the CHO candidate cell measurement results. This implementation provides a new target cell selection method for the terminal, improving the flexibility of target cell selection. Furthermore, the terminal can also select a target cell based on the first judgment criterion sent by the network device, improving the accuracy of target cell selection.

[0152] As an example, the terminal can correct the CHO candidate cell measurement results based on the network device, so that the terminal can correct the measurement results after predicting the CHO candidate cell measurement results, and select the target cell based on the corrected measurement results, thereby improving the accuracy of target cell selection.

[0153] As an example, the terminal can also report CHO process information to the network device, providing a reference for the network device or the source cell to make subsequent configuration decisions, which helps improve network performance. The source cell can be understood as the cell that the terminal accessed before switching to the target cell.

[0154] As an example, there may be multiple CHO candidate cells. When the terminal predicts the measurement result of each CHO candidate cell, the prediction configuration of each CHO candidate cell may be different or the same, and the correction method of the measurement result of each CHO candidate cell may be different or the same, which is not limited in this application.

[0155] In combination with the second aspect, in certain implementations of the second aspect, the first judgment criterion includes at least one of the following: the prediction accuracy of the target cell is greater than or equal to a first accuracy threshold, the predicted reference signal received power of the target cell is greater than or equal to a first power threshold within a second preset time length, or the prediction method used when predicting the measurement result of the target cell conforms to the first preset prediction method.

[0156] In this implementation, the target cell may be a cell among the CHO candidate cells whose prediction accuracy is greater than or equal to the first accuracy threshold, or the target cell may be a cell among the CHO candidate cells whose predicted reference signal receiving power (RSRP) is greater than or equal to the first power threshold within a second preset time period, or the target cell may be a cell among the CHO candidate cells whose prediction method conforms to the first preset prediction method.

[0157] As an example, the first accuracy threshold, the first power threshold, the second preset duration, or the first preset prediction method can be set according to actual needs, or can be configured by the network device according to network needs, and are not limited here. For example, the first preset prediction method can be same-frequency prediction.

[0158] As an example, there may be multiple CHO candidate cells. When the terminal predicts the measurement result of each CHO candidate cell, the prediction configuration of each CHO candidate cell may be different, or the correction method of the measurement result of each CHO candidate cell may be different.

[0159] In combination with the second aspect, in certain implementations of the second aspect, when the neighboring cell measurement result is used for cell reselection, the first capability further includes whether the terminal supports performing cell reselection based on the predicted cell reselection candidate cell measurement result.

[0160] In this implementation, in a cell reselection / reestablishment scenario, the terminal can be assisted in selecting an access cell based on the predicted cell reselection candidate cell measurement results, thereby enabling the terminal to access the network. Therefore, when the predicted cell reselection candidate cell measurement results are used for cell reselection, the terminal's first capability may also include whether the terminal supports cell reselection based on the predicted cell reselection candidate cell measurement results. The access cell may also be referred to as the reestablishment cell.

[0161] In combination with the second aspect, in certain implementations of the second aspect, the method further includes: receiving ninth information, the ninth information including at least one of the following information: indication information for selecting an access cell based on the cell reselection candidate cell measurement result, a second judgment criterion for selecting an access cell based on the cell reselection candidate cell measurement result, a correction method for the cell reselection candidate cell measurement result, an instruction for the terminal to report cell reselection process information, or a reporting method for the cell reselection process information, the cell reselection process information including at least one of the following information: the cell reselection candidate cell measurement result, a prediction of the cell reselection candidate cell. The terminal also includes a prediction method used when predicting the measurement result, a correction method used when correcting the measurement result of the cell reselection candidate cell, a duration for the terminal to perform cell reselection, or a reason for selecting the access cell; wherein, when there are multiple cell reselection candidate cells, when the terminal predicts the measurement result of each cell reselection candidate cell among the cell reselection candidate cells, at least two of the cell reselection candidate cells differ in at least one of the following information: a prediction method, a prediction time window length of the measurement result, a prediction accuracy of the measurement result, a prediction delay of the measurement result, a reporting delay of the measurement result, or a correction method for the measurement result.

[0162] As an example, the ninth information can be carried in the same message as the second information and sent down, or can be carried in different messages and sent down, and there is no limitation here.

[0163] In this implementation, when a terminal supports cell reselection based on predicted measurement results of candidate cells for cell reselection, the terminal can select an access cell based on the indication information sent by the network device regarding selection of an access cell based on the measurement results of candidate cells for cell reselection. This implementation provides a new access cell selection method for the terminal, increasing access cell selection flexibility. Furthermore, the terminal can also select an access cell based on a second judgment criterion sent by the network device, facilitating access cell selection.

[0164] As an example, the terminal can correct the measurement result of the cell reselection candidate cell sent by the network device, so that the terminal can correct the measurement result after predicting the cell reselection candidate cell measurement result, and select the access cell based on the corrected measurement result, thereby improving the accuracy of the access cell selection.

[0165] As an example, the terminal can also report cell reselection process information to the network device, providing a reference for the network device or the last serving cell to make subsequent configuration decisions, helping to improve network performance. The last serving cell can be understood as the cell that provided service to the terminal before the terminal accessed the re-established cell.

[0166] As an example, the number of candidate cells for cell reselection may be multiple. When the terminal predicts the measurement result of each candidate cell for cell reselection, the prediction configuration of each candidate cell for cell reselection may be different or the same, or the correction method of the measurement result of each candidate cell for cell reselection may be different or the same, which is not limited in this application.

[0167] In combination with the second aspect, in certain implementations of the second aspect, the second judgment criterion includes at least one of the following: the prediction accuracy of the access cell is greater than or equal to the second accuracy prediction value, the predicted reference signal receiving power of the access cell is greater than or equal to the second power threshold within a third preset time length, the prediction method used when predicting the measurement results of the access cell complies with the second preset prediction method, or the access cell is the cell with the highest priority among the cell reselection candidate cells.

[0168] In this implementation, the access cell may be a cell among the cell reselection candidate cells whose prediction accuracy is greater than or equal to the second accuracy threshold, or the access cell may be a cell among the cell reselection candidate cells whose predicted RSRP is greater than or equal to the second power threshold within a third preset time period, or the access cell may be a cell among the cell reselection candidate cells whose prediction method conforms to the second preset prediction method, or the access cell may be the cell with the highest priority among the cell reselection candidate cells.

[0169] As an example, the second accuracy threshold, the second power threshold, the third preset duration, or the second preset prediction method can be set according to actual needs, or can be configured by the network device according to network needs, and are not limited here. For example, the second preset prediction method can be same-frequency prediction.

[0170] In combination with the second aspect, in certain implementations of the second aspect, the priority of the cell reselection candidate cell is determined by the R criterion and / or the S criterion, and the newly added correction item and / or correction coefficient in the R criterion and / or the S criterion is determined by at least one of the following information: a prediction method used when predicting the measurement result of the cell reselection candidate cell, a prediction time window length of the cell reselection candidate cell measurement result, a prediction accuracy of the cell reselection candidate cell measurement result, or a prediction delay of the cell reselection candidate cell measurement result.

[0171] In this implementation, the priorities of candidate cells for cell reselection may be determined by the R criterion and / or the S criterion. To improve the accuracy of priority calculation, correction terms and / or correction coefficients may be added to the R criterion and / or the S criterion.

[0172] As an example, the newly added correction item and correction coefficient in the R criterion and / or the S criterion can be determined based on at least one of the following information: a prediction method used when predicting the measurement result of the cell reselection candidate cell, a prediction time window length of the cell reselection candidate cell measurement result, a prediction accuracy of the cell reselection candidate cell measurement result, or a prediction delay of the cell reselection candidate cell measurement result.

[0173] In a third aspect, the present application provides a communication device, which includes modules for implementing the method in the first aspect or any one of the implementations thereof, and each module can be implemented in the form of hardware and / or software.

[0174] For example, the apparatus may include: a processing module and a sending module. The processing module is configured to obtain first information indicating a first capability of a terminal, the first capability including an ability of the terminal to predict a neighboring cell measurement result; and the sending module is configured to send second information based on the first information, the second information instructing the terminal to predict the neighboring cell measurement result.

[0175] In combination with the third aspect, in certain implementations of the third aspect, the second information further includes a first prediction method for the terminal to predict the neighboring cell measurement result.

[0176] In combination with the third aspect, in certain implementations of the third aspect, the first prediction method includes predicting the neighboring area measurement result based on the historical measurement results of the cell in which the terminal is located; the second information also includes at least one of the following information: the first prediction time window length of the neighboring area measurement result, the first prediction accuracy of the neighboring area measurement result, the first prediction delay of the neighboring area measurement result, the first reporting delay of the neighboring area measurement result, or a processing method when the terminal cannot predict the first neighboring area measurement result, and the first neighboring area measurement result is the neighboring area measurement result that the network device instructs the terminal to report.

[0177] In combination with the third aspect, in certain implementations of the third aspect, the terminal's ability to predict neighboring cell measurement results includes at least one of the following information: a prediction method supported by the terminal, the relationship between the supported prediction method and the communication frequency band, or performance-related parameters of the supported prediction method, the supported prediction method includes predicting the neighboring cell measurement results based on historical measurement results of the cell where the terminal is located, and the performance-related parameters of the supported prediction method include at least one of the following information: sample input range, prediction result range, prediction accuracy, prediction error, the number of cells supporting prediction, the identification range of cells supporting prediction, or the number of beams supporting prediction in each cell.

[0178] In combination with the third aspect, in certain implementations of the third aspect, the neighboring area measurement result includes the neighboring area measurement result within a first preset time length, and the starting moment of the first preset time length is the moment when the terminal predicts the neighboring area measurement result.

[0179] In conjunction with the third aspect, in certain implementations of the third aspect, the apparatus may further include a receiving module. The receiving module is configured to receive third information, where the third information indicates a first prediction result of the neighboring cell measurement, where the first prediction result is not obtained based on the first prediction method, or the first prediction result does not meet the first prediction time window length, or the first prediction result does not meet the first prediction accuracy, or the first prediction result does not meet the first prediction delay, or the delay for the terminal to report the first prediction result does not meet the first reporting delay.

[0180] In combination with the third aspect, in certain implementations of the third aspect, the third information also includes at least one of the following information: the reason why the first prediction result is not obtained based on the first prediction method, the reason why the first prediction result does not conform to the first prediction time window length, the reason why the first prediction result does not conform to the first prediction accuracy, the reason why the first prediction result does not conform to the first prediction delay, or the reason why the delay in the terminal reporting the first prediction result does not conform to the first reporting delay.

[0181] In combination with the third aspect, in certain implementations of the third aspect, the sending module is further used to send fourth information, where the fourth information instructs the terminal to predict the neighboring cell measurement result.

[0182] In combination with the third aspect, in certain implementations of the third aspect, the receiving module is further used to receive fifth information, where the fifth information includes at least one of the following information recommended by the terminal: a second prediction method for predicting the neighboring area measurement result, a second prediction time window length of the neighboring area measurement result, a second prediction accuracy of the neighboring area measurement result, a second prediction delay of the neighboring area measurement result, or a second reporting delay for the terminal to report the neighboring area measurement result.

[0183] In combination with the third aspect, in certain implementations of the third aspect, the fifth information also includes at least one of the following information: the reason for recommending the second prediction method, the reason for recommending the second prediction time window length, the reason for recommending the second prediction accuracy, the reason for recommending the second prediction delay, or the reason for recommending the second reporting delay.

[0184] In combination with the third aspect, in some implementations of the third aspect, the sending module is further used to send sixth information, where the sixth information is used to request the first information; and the receiving module is further used to receive the first information.

[0185] In a possible implementation, the processing module may control the sending module to send information, or may control the receiving module to receive information.

[0186] In combination with the third aspect, in some implementations of the third aspect, the receiving module is further used to receive seventh information, where the seventh information is used to request the second information.

[0187] In combination with the third aspect, in certain implementations of the third aspect, when the neighboring cell measurement result is used for CHO, the first capability further includes whether the terminal supports performing CHO based on the predicted CHO candidate cell measurement result.

[0188] In combination with the third aspect, in certain implementations of the third aspect, the sending module is further configured to send eighth information, the eighth information including at least one of the following information: indication information for selecting a target cell based on the CHO candidate cell measurement result, a first judgment criterion for selecting a target cell based on the CHO candidate cell measurement result, a correction method for the CHO candidate cell measurement result, an indication for the terminal to report CHO process information, or a reporting method for the CHO process information, the CHO process information including at least one of the following information: the CHO candidate cell measurement result, a method for predicting the CHO candidate cell measurement result; prediction method, a correction method used when correcting the measurement result of the CHO candidate cell, the duration of the terminal performing CHO, the duration of the service interruption of the terminal, or the reason for selecting the target cell; wherein, when there are multiple CHO candidate cells, when the terminal predicts the measurement result of each CHO candidate cell in the CHO candidate cells, there are at least two CHO candidate cells in the CHO candidate cells that have at least one of the following information that is different: prediction method, length of the prediction time window of the measurement result, prediction accuracy of the measurement result, prediction delay of the measurement result, reporting delay of the measurement result, or correction method of the measurement result.

[0189] In combination with the third aspect, in certain implementations of the third aspect, the first judgment criterion includes at least one of the following: the prediction accuracy of the target cell is greater than or equal to the first accuracy threshold, the predicted reference signal received power of the target cell is greater than or equal to the first power threshold within a second preset time length, or the prediction method used when predicting the measurement result of the target cell complies with the first preset prediction method.

[0190] In combination with the third aspect, in certain implementations of the third aspect, when the neighboring cell measurement result is used for cell reselection, the first capability further includes whether the terminal supports performing cell reselection based on the predicted cell reselection candidate cell measurement result.

[0191] In combination with the third aspect, in certain implementations of the third aspect, the sending module is further configured to send ninth information, where the ninth information includes at least one of the following information: indication information for selecting an access cell based on the cell reselection candidate cell measurement result, a second judgment criterion for selecting an access cell based on the cell reselection candidate cell measurement result, a correction method for the cell reselection candidate cell measurement result, an instruction for the terminal to report cell reselection process information, or a reporting method for the cell reselection process information, where the cell reselection process information includes at least one of the following information: the cell reselection candidate cell measurement result, a prediction of the cell reselection candidate cell. The terminal also includes a prediction method used when predicting the measurement result, a correction method used when correcting the measurement result of the cell reselection candidate cell, a duration for the terminal to perform cell reselection, or a reason for selecting the access cell; wherein, when there are multiple cell reselection candidate cells, when the terminal predicts the measurement result of each cell reselection candidate cell among the cell reselection candidate cells, at least two of the cell reselection candidate cells differ in at least one of the following information: a prediction method, a prediction time window length of the measurement result, a prediction accuracy of the measurement result, a prediction delay of the measurement result, a reporting delay of the measurement result, or a correction method for the measurement result.

[0192] In combination with the third aspect, in certain implementations of the third aspect, the second judgment criterion includes at least one of the following: the prediction accuracy of the access cell is greater than or equal to the second accuracy prediction value, the predicted reference signal receiving power of the access cell is greater than or equal to the second power threshold within a third preset time length, the prediction method used when predicting the measurement results of the access cell complies with the second preset prediction method, or the access cell is the cell with the highest priority among the cell reselection candidate cells.

[0193] In combination with the third aspect, in certain implementations of the third aspect, the priority of the cell reselection candidate cell is determined by the R criterion and / or the S criterion, and the newly added correction item and / or correction coefficient in the R criterion and / or the S criterion is determined by at least one of the following information: a prediction method used when predicting the measurement result of the cell reselection candidate cell, a prediction time window length of the cell reselection candidate cell measurement result, a prediction accuracy of the cell reselection candidate cell measurement result, or a prediction delay of the cell reselection candidate cell measurement result.

[0194] In a fourth aspect, the present application provides a communication device, which includes modules for implementing the method in the second aspect or any one of the implementation methods thereof, and each module can be implemented in the form of hardware and / or software.

[0195] For example, the apparatus may include: a sending module and a receiving module. The sending module is configured to send first information indicating a first capability of the terminal, the first capability including an ability of the terminal to predict a neighboring cell measurement result; and the receiving module is configured to receive second information indicating that the terminal predicts the neighboring cell measurement result.

[0196] In combination with the fourth aspect, in certain implementations of the fourth aspect, the second information further includes a first prediction method for the terminal to predict the neighboring area measurement result.

[0197] In combination with the fourth aspect, in certain implementations of the fourth aspect, the first prediction method includes predicting the neighboring area measurement result based on the historical measurement results of the cell where the terminal is located; the second information also includes at least one of the following information: the first prediction time window length of the neighboring area measurement result, the first prediction accuracy of the neighboring area measurement result, the first prediction delay of the neighboring area measurement result, the first reporting delay of the neighboring area measurement result, or, a processing method when the terminal cannot predict the first neighboring area measurement result, and the first neighboring area measurement result is the neighboring area measurement result reported by the terminal instructed by the network device.

[0198] In combination with the fourth aspect, in certain implementations of the fourth aspect, the terminal's ability to predict neighboring cell measurement results includes at least one of the following information: a prediction method supported by the terminal, the relationship between the supported prediction method and the communication frequency band, or performance-related parameters of the supported prediction method, the supported prediction method includes predicting the neighboring cell measurement results based on historical measurement results of the cell where the terminal is located, and the performance-related parameters of the supported prediction method include at least one of the following information: sample input range, prediction result range, prediction accuracy, prediction error, the number of cells supporting prediction, the identification range of cells supporting prediction, or the number of beams supporting prediction in each cell.

[0199] In combination with the fourth aspect, in certain implementations of the fourth aspect, the neighboring area measurement result includes the neighboring area measurement result within a first preset time length, and the starting moment of the first preset time length is the moment when the terminal predicts the neighboring area measurement result.

[0200] In combination with the fourth aspect, in certain implementations of the fourth aspect, the sending module is also used to send third information, wherein the third information indicates a first prediction result of the neighboring area measurement, the first prediction result is not obtained based on the first prediction method, or the first prediction result does not conform to the first prediction time window length, or the first prediction result does not conform to the first prediction accuracy, or the first prediction result does not conform to the first prediction delay, or the delay for the terminal to report the first prediction result does not conform to the first reporting delay.

[0201] In combination with the fourth aspect, in certain implementations of the fourth aspect, the third information also includes at least one of the following information: the reason why the first prediction result is not obtained based on the first prediction method, the reason why the first prediction result does not conform to the first prediction time window length, the reason why the first prediction result does not conform to the first prediction accuracy, the reason why the first prediction result does not conform to the first prediction delay, or the reason why the delay in the terminal reporting the first prediction result does not conform to the first reporting delay.

[0202] In combination with the fourth aspect, in certain implementations of the fourth aspect, the receiving module is further used to receive fourth information, where the fourth information instructs the terminal to predict the neighboring area measurement result.

[0203] In combination with the fourth aspect, in certain implementations of the fourth aspect, the sending module is further used to send fifth information, where the fifth information includes at least one of the following information recommended by the terminal: a second prediction method for predicting the neighboring area measurement result, a second prediction time window length of the neighboring area measurement result, a second prediction accuracy of the neighboring area measurement result, a second prediction delay of the neighboring area measurement result, or a second reporting delay for the terminal to report the neighboring area measurement result.

[0204] In combination with the fourth aspect, in certain implementations of the fourth aspect, the fifth information also includes at least one of the following information: the reason for recommending the second prediction method, the reason for recommending the second prediction time window length, the reason for recommending the second prediction accuracy, the reason for recommending the second prediction delay, or the reason for recommending the second reporting delay.

[0205] In combination with the fourth aspect, in some implementations of the fourth aspect, the receiving module is further used to receive sixth information, where the sixth information is used to request the first information.

[0206] In combination with the fourth aspect, in some implementations of the fourth aspect, the sending module is further used to send seventh information, where the seventh information is used to request the second information.

[0207] In combination with the fourth aspect, in certain implementations of the fourth aspect, when the neighboring cell measurement result is used for CHO, the first capability further includes whether the terminal supports performing CHO based on the predicted CHO candidate cell measurement result.

[0208] In combination with the fourth aspect, in certain implementations of the fourth aspect, the receiving module is further configured to receive eighth information, the eighth information including at least one of the following information: indication information for selecting a target cell based on the CHO candidate cell measurement result, a first judgment criterion for selecting a target cell based on the CHO candidate cell measurement result, a correction method for the CHO candidate cell measurement result, an indication that the terminal reports CHO process information, or a reporting method for the CHO process information, the CHO process information including at least one of the following information: the CHO candidate cell measurement result, a method for predicting the CHO candidate cell measurement result; prediction method, a correction method used when correcting the measurement result of the CHO candidate cell, the duration of the terminal performing CHO, the duration of the service interruption of the terminal, or the reason for selecting the target cell; wherein, when there are multiple CHO candidate cells, when the terminal predicts the measurement result of each CHO candidate cell in the CHO candidate cells, there are at least two CHO candidate cells in the CHO candidate cells that have at least one of the following information that is different: prediction method, length of the prediction time window of the measurement result, prediction accuracy of the measurement result, prediction delay of the measurement result, reporting delay of the measurement result, or correction method of the measurement result.

[0209] In combination with the fourth aspect, in certain implementations of the fourth aspect, the first judgment criterion includes at least one of the following: the prediction accuracy of the target cell is greater than or equal to the first accuracy threshold, the predicted reference signal received power of the target cell is greater than or equal to the first power threshold within a second preset time length, or the prediction method used when predicting the measurement result of the target cell conforms to the first preset prediction method.

[0210] In combination with the fourth aspect, in certain implementations of the fourth aspect, when the neighboring cell measurement result is used for cell reselection, the first capability further includes whether the terminal supports performing cell reselection based on the predicted cell reselection candidate cell measurement result.

[0211] In combination with the fourth aspect, in certain implementations of the fourth aspect, the receiving module is further configured to receive ninth information, where the ninth information includes at least one of the following information: indication information for selecting an access cell based on the cell reselection candidate cell measurement result, a second judgment criterion for selecting an access cell based on the cell reselection candidate cell measurement result, a correction method for the cell reselection candidate cell measurement result, an instruction for the terminal to report cell reselection process information, or a reporting method for the cell reselection process information, where the cell reselection process information includes at least one of the following information: the cell reselection candidate cell measurement result, a prediction of the cell reselection candidate cell. The terminal also includes a prediction method used when predicting the measurement result, a correction method used when correcting the measurement result of the cell reselection candidate cell, a duration for the terminal to perform cell reselection, or a reason for selecting the access cell; wherein, when there are multiple cell reselection candidate cells, when the terminal predicts the measurement result of each cell reselection candidate cell among the cell reselection candidate cells, at least two of the cell reselection candidate cells differ in at least one of the following information: a prediction method, a prediction time window length of the measurement result, a prediction accuracy of the measurement result, a prediction delay of the measurement result, a reporting delay of the measurement result, or a correction method for the measurement result.

[0212] In combination with the fourth aspect, in certain implementations of the fourth aspect, the second judgment criterion includes at least one of the following: the prediction accuracy of the access cell is greater than or equal to the second accuracy prediction value, the predicted reference signal receiving power of the access cell is greater than or equal to the second power threshold within a third preset time length, the prediction method used when predicting the measurement results of the access cell complies with the second preset prediction method, or the access cell is the cell with the highest priority among the cell reselection candidate cells.

[0213] In combination with the fourth aspect, in certain implementations of the fourth aspect, the priority of the cell reselection candidate cell is determined by the R criterion and / or the S criterion, and the newly added correction item and / or correction coefficient in the R criterion and / or the S criterion is determined by at least one of the following information: a prediction method used when predicting the measurement result of the cell reselection candidate cell, a prediction time window length of the cell reselection candidate cell measurement result, a prediction accuracy of the cell reselection candidate cell measurement result, or a prediction delay of the cell reselection candidate cell measurement result.

[0214] In a fifth aspect, the present application provides a communication device, comprising a processor, which can be coupled to a memory and configured to call program code in the memory to execute the method described in the first aspect or any possible implementation thereof. Optionally, the device also includes a memory. Optionally, the device also includes a communication interface, and the processor can be coupled to the communication interface.

[0215] As an example, the device may be a network device, or a chip system, hardware circuit and / or software module used in a network device, or other device that can implement the functions of a network device, without limitation herein.

[0216] In a sixth aspect, the present application provides a communication device, comprising a processor, the processor being coupled to a memory and configured to call program code in the memory to execute the method described in the second aspect or any possible implementation thereof. Optionally, the device further comprises a memory. Optionally, the device further comprises a communication interface, the processor being coupled to the communication interface.

[0217] As an example, the device may be a terminal, or a chip system, hardware circuit and / or software module applied in a terminal, or other devices that can implement terminal functions, which is not limited here.

[0218] In a seventh aspect, the present application provides a communication system, which includes the device in the third aspect or the fourth aspect, and the device in the fifth aspect or the sixth aspect.

[0219] In an eighth aspect, the present application provides a computer program product comprising instructions, which, when executed on a computer, enables the computer to execute the method as described in the first aspect, the second aspect, or any possible implementation thereof.

[0220] In a ninth aspect, the present application provides a computer-readable medium storing program code for execution by a device, wherein the program code includes a method for executing the method described in the first aspect, the second aspect, or any possible implementation thereof.

[0221] For the technical effects that can be achieved by any of the third to ninth aspects and any possible design of any of them, please refer to the description of the technical effects that can be brought about by the first to second aspects above, and no further details will be given here. BRIEF DESCRIPTION OF THE DRAWINGS

[0222] FIG1 is a schematic diagram of a network architecture provided by an embodiment of the present application;

[0223] FIG2 is a schematic diagram of an ORAN architecture provided in one embodiment of the present application;

[0224] FIG3 is a schematic flow chart of a communication method provided in one embodiment of the present application;

[0225] FIG4 is a schematic flow chart of a communication method provided in another embodiment of the present application;

[0226] FIG5 is a schematic flow chart of a communication method provided in yet another embodiment of the present application;

[0227] FIG6 is a schematic flow chart of a communication method provided in yet another embodiment of the present application;

[0228] FIG7 is a schematic flow chart of a communication method provided in yet another embodiment of the present application;

[0229] FIG8 is a schematic structural diagram of a communication device provided by one embodiment of the present application;

[0230] FIG9 is a schematic structural diagram of a communication device provided in another embodiment of the present application;

[0231] FIG10 is a schematic structural diagram of a communication device provided in yet another embodiment of the present application.

[0232] The above drawings illustrate specific embodiments of the present application, which will be described in more detail below. These drawings and the textual description are not intended to limit the scope of the present application in any way, but rather to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments. DETAILED DESCRIPTION

[0233] Exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

[0234] Neighboring cell measurement refers to the measurement of information such as the signal quality of the neighboring cell by the terminal. For example, the network device can send the neighboring cell measurement configuration to the terminal, and the terminal can measure the signal quality of the neighboring cell (for example, the signal quality of the channel state information-reference signal (CSI-RS), the reference signal receiving power (RSRP), etc.) based on the neighboring cell measurement configuration sent by the network device. Among them, if the working frequency of the neighboring cell is consistent with the working frequency of the cell where the terminal is located, the terminal can directly perform the neighboring cell measurement; if the working frequency of the neighboring cell is inconsistent with the working frequency of the cell where the terminal is located, the terminal needs to switch the working frequency to the working frequency of the neighboring cell to achieve the measurement of the signal quality of the neighboring cell, and switch the working frequency to the working frequency of the cell where the terminal is located after the measurement is completed. This process is generally called gap measurement.

[0235] However, the above method has the following issues: When the operating frequency of the neighboring cell is inconsistent with the operating frequency of the cell in which the terminal is located, the terminal performing the neighboring cell measurement must support gap measurement. Alternatively, a terminal that does not support gap measurement cannot perform neighboring cell measurement without accessing the neighboring cell. Furthermore, when performing gap measurement, the terminal must perform gap handover. This gap handover reduces the terminal's available time-frequency resources, resulting in a decrease in the terminal's peak throughput. The process of switching the operating frequency while performing gap measurement is referred to as gap handover.

[0236] In view of this, the present application provides a communication method and a communication device, which are applied to the field of wireless communication technology. In the technical solution provided by the present application, the terminal has the ability to obtain neighboring area measurement results without performing gap measurement, so that the terminal can obtain neighboring area measurement results even when gap measurement is not supported. In an embodiment of the present application, the terminal can predict the neighboring area measurement results, so that the terminal can obtain the neighboring area measurement results without performing gap measurement; in addition, because the terminal does not perform gap switching when predicting the neighboring area measurement results, the problem of a decrease in the peak throughput of the terminal due to gap switching does not occur. As an example, the terminal can predict the neighboring area measurement results based on artificial intelligence (AI) technology. It should be understood that the terminal can also predict the neighboring area measurement results based on other methods, and the present application does not limit this.

[0237] The technical solution provided in the present application can be applied to various communication systems, including but not limited to: narrowband Internet of Things (NB-IoT) system, global system for mobile communications (GSM), enhanced data rate for GSM evolution (EDGE), wideband code division multiple access (WCDMA), code division multiple access 2000 (CDMA2000), time division-synchronization code division multiple access (TD-SCDMA), wireless fidelity (WiFi) system, third generation (3G) mobile communication system, long term evolution (LTE), advanced long term evolution (LTE-A), LTE frequency division duplex (FDD), LTE time division duplex (TDD), fourth generation (4G) mobile communication system, fifth generation (5G) mobile communication system. The three major application scenarios of the new wireless (NR) communication system are enhanced mobile broadband (eMBB), ultra-reliable and low latency communications (URLLC), and massive machine type communication (mMTC), as well as the future sixth generation (6G) mobile communication system, such as high frequency, terahertz, and optical communication. This application does not impose specific restrictions on this.

[0238] The terminal in the embodiments of the present application can be a wireless terminal or a wired terminal. The wireless terminal can be a device that provides voice and / or data connectivity to a user, a handheld device with wireless connection function, or other processing devices connected to a wireless modem. The wireless terminal can communicate with one or more core networks (CN) via a radio access network (RAN). The wireless terminal can be a mobile terminal, such as a mobile phone or a computer with a mobile terminal. A mobile phone can also be called a "cellular" phone. For example, the wireless terminal can be a portable, pocket-sized, handheld, computer-built-in, or vehicle-mounted mobile device that can exchange voice and / or data with a radio access network. For another example, the wireless terminal can be a personal communication service (PCS) phone, a cordless phone, a session initiation protocol (SIP) phone, a wireless local loop (WLL) station, a personal digital assistant (PDA), and other devices. A wireless terminal may also be referred to as a system, a subscriber unit (SU), a subscriber station (SS), a mobile station (MB), a mobile, a remote station (RS), an access point (AP), a remote terminal (RT), an access terminal (AT), a user terminal (UT), a user agent (UA), a terminal device (UD), or a user equipment (UE), and this application does not impose any restrictions on this. In addition, in an embodiment of the present application, the terminal may also be a terminal in an Internet of Things (IoT) system. IoT is an important part of the future development of information technology. Its main technical feature is to connect objects to the network through communication technology, thereby realizing an intelligent network of human-machine interconnection and object-to-object interconnection.

[0239] In the embodiments of the present application, the device for implementing the functions of the terminal can be the terminal itself, or a device that can support the terminal to implement the functions, such as a chip system. This device can be installed in the terminal, or it can be other equipment that can implement the functions of the terminal. In the embodiments of the present application, the chip system can be composed of a chip, or it can include a chip and other discrete devices.

[0240] The network device in the embodiment of the present application can be a device that provides wireless communication functions for the terminal device. The network device can also be referred to as an access network device (AN) or a RAN device, can be a transmission reception point (TRP), can be an evolved NodeB (eNB or eNodeB) in the LTE system, can be a home base station (for example, home evolved NodeB, or home Node B, HNB), a base band unit (BBU), can also be a wireless controller in a cloud radio access network (CRAN) scenario, or the network device can be a relay station, an access point, a vehicle-mounted device, a wearable device, a network device in a 5G network, or a network device in a future evolved PLMN network, etc., can be an access point (AP) in a WLAN, can be a base station in a RAN (such as (gNodeB, gNB)), etc., and the embodiment of the present application is not limited.

[0241] In an embodiment of the present application, the device for realizing the function of the network device may be the network device itself, or it may be a device that can support the network device to realize the function, such as a chip system. The device may be installed in the network device, or it may be other devices that can realize the function of the network device. There is no limitation here.

[0242] In some embodiments, the network device may have a separate architecture consisting of a centralized unit (CU) node and a distributed unit (DU). CU and DU can be understood as a division of the network device from a logical functional perspective.

[0243] For example, FIG1 is a schematic diagram of a network architecture provided by an embodiment of the present application. As shown in FIG1 , the network device is a gNB in ​​the RAN, and the gNB includes a CU and a DU. The RAN can be connected to the CN. The CN is, for example, the CN in LTE or the CN in 5G, which is not limited here. The CU and DU can be physically separated or deployed together. Multiple DUs can share one CU. In some embodiments, one DU can also be connected to multiple CUs (not shown in FIG1 ).

[0244] As an example, the CU and the DU may be connected via an interface, such as an F1 interface.

[0245] In some implementations, the CU and DU can be divided according to the protocol layers of the wireless network. For example, one possible division is that the CU is used to perform the functions of the radio resource control (RRC) layer, the service data adaptation protocol (SDAP) layer, and the packet data convergence protocol (PDCP) layer, while the DU is used to perform the functions of the radio link control (RLC) layer, the media access control (MAC) layer, the physical (PHY) layer, etc.

[0246] It is understandable that dividing the processing functions of CU and DU according to the protocol layer is only an example, and the division can also be carried out in other ways. For example, the CU or DU can be divided into functions with more protocol layers, or the processing functions of more protocol layers can be divided for the CU or DU. For another example, the CU or DU can be divided into partial processing functions with the protocol layer, or the partial processing functions of the protocol layer can be divided for the CU or DU. As an example, part of the functions of the RLC layer and the functions of the protocol layers above the RLC layer can be set in the CU, and the remaining functions of the RLC layer and the functions of the protocol layers below the RLC layer can be set in the DU.

[0247] In some implementations, the functions of the CU or DU can be divided according to service type or other system requirements. For example, according to latency, functions that need to meet the latency requirement are placed in the DU, and functions that do not need to meet the latency requirement are placed in the CU.

[0248] In some implementations, a CU may also have one or more core network functions. One or more CUs may be centrally located or separately located. For example, a CU may be located on the network side for easier centralized management.

[0249] In some implementations, a DU may have multiple radio frequency functions, wherein the radio frequency functions may be remotely located.

[0250] In the embodiments of the present application, the functions of the CU can be implemented by a single entity, or by different entities. As an example, the functions of the CU can be further divided. For example, the control plane (CP) and the user plane (UP) can be separated. In this case, the CU includes the CU control plane (CU-CP) and the CU user plane (CU-UP). The CU-CP and CU-UP can be implemented by different functional entities and connected via an E1 interface. The CU-CP and CU-UP can be coupled with the DU to jointly complete the functions of the network device.

[0251] In some implementations, the CU-CP may further include a subdivided architecture, such as CU-CP1 and CU-CP2. CU-CP1 may include various radio resource management functions, while CU-CP2 only includes RRC and PDCP-C functions. PDCP-C functions can be understood as the basic functions of control plane signaling at the PDCP layer.

[0252] The technical solution provided in this application can also be applied to the open RAN (ORAN) architecture.

[0253] Figure 2 is a schematic diagram of an ORAN architecture provided by an embodiment of the present application. As shown in Figure 2, the ORAN architecture includes a non-real-time radio intelligent controller (RIC), a near real-time RIC, an open CU-CP (open CU-CP, O-CU-CP), an open CU-UP (open CU-UP, O-CU-UP), an open DU (open DU, O-DU), an open remote unit (open remote unit, O-RU) and a terminal. It should be understood that the embodiment of the present application does not impose any specific restrictions on the number of functional entities (e.g., non-real-time RIC, near real-time RIC, O-CU-CP, O-CU-UP, O-DU, O-RU or terminal) included in the ORAN architecture.

[0254] RIC uses AI to achieve intelligent and automated RAN operations and maintenance. Non-real-time RIC typically handles services with longer latency requirements, such as big data analysis and AI model training. Real-time RIC typically handles services with shorter latency requirements, such as radio resource management and handover, which are traditional RAN services. O-CU-CP corresponds to CU-CP in 5G networks, O-CU-UP corresponds to CU-UP in 5G networks, O-DU corresponds to DU in 5G networks, and O-RU corresponds to RU in 5G networks.

[0255] As an example, the terminal can predict the neighboring cell measurement results based on the AI ​​module in the wireless communication system. To facilitate understanding of the technical solution provided by this application, the AI ​​module is first described. It should be noted that the terminal can also predict the neighboring cell measurement results through other functional modules. This application only uses the AI ​​module as an example for illustration and does not limit the embodiments of this application.

[0256] As a module with machine learning computing capabilities, the AI ​​module can be located in the operation administration and maintenance (OAM) of the wireless communication system, or in the gNB, or in the CU of the gNB, or in some terminals, or can be a separate network entity (such as AIC). In the embodiments of the present application, the AI ​​module can be implemented in hardware and / or software.

[0257] In wireless communication systems, the AI ​​module's primary function is to perform a series of AI calculations, including model building, training approximation, and reinforcement learning, based on input data (e.g., network load, channel quality, etc., provided by the RAN or monitored by OAM). The trained model provided by the AI ​​module predicts network changes on the RAN side and is typically used for load forecasting and terminal path prediction. Furthermore, the AI ​​module uses the trained model's predictions of RAN network performance to perform policy inference from perspectives such as network energy conservation and mobility optimization, ultimately resulting in effective and efficient energy conservation and mobility optimization strategies.

[0258] When the AI ​​module is located in the OAM, it can reuse the current northbound interface for communication with the RAN-side gNB. When the AI ​​module is located in the gNB or CU, it can reuse the current F1, Xn, Uu, and other interfaces. When the AI ​​module becomes an independent network entity, it is necessary to re-establish the communication link from the AI ​​module to the OAM, RAN-side equipment, and terminals. For example, the communication link can be a wired link or a wireless link. When the CU's CP and UP are separated, the CU-CP is generally responsible for receiving the AI ​​model and the subsequent AI reasoning and policy generation functions. When the CU-CP is further divided into CU-CP1 and CU-CP2, CU-CP1 is generally responsible for receiving the model and the subsequent AI reasoning functions, and generating specific interaction signaling, which is then sent by CU-CP2.

[0259] The communication method provided by this application is described in detail below with reference to the accompanying drawings.

[0260] Figure 3 is a schematic flow chart of a communication method provided in one embodiment of the present application. As shown in Figure 3, the method may include S301 and S302.

[0261] S301: Acquire first information, where the first information indicates a first capability of a terminal, and the first capability includes an ability of the terminal to predict neighboring cell measurement results.

[0262] In an embodiment of the present application, the first capability may include the terminal's ability to obtain neighboring cell measurement results. For example, the first capability may include the terminal's ability to predict neighboring cell measurement results. It should be understood that when the terminal supports gap measurement, the first capability may also include the terminal's ability to support gap measurement.

[0263] As an example, the terminal can predict neighboring cell measurement results through an AI module. The AI ​​module can be located in the terminal, in other devices, or as a separate network entity, and this application does not impose any restrictions on this.

[0264] In a possible implementation manner, the network device may obtain the first information from the terminal.

[0265] As an example, the terminal may proactively report the first capability of the terminal to the network device. For example, when the terminal accesses the network device, or when the terminal joins the network, the terminal may send first information to the network device, where the first information indicates the first capability of the terminal. For another example, after the terminal accesses the network device, or after the terminal joins the network, the terminal may send first information to the network device within a preset time period, where the first information indicates the first capability of the terminal. For another example, after the terminal accesses the network device, the terminal may periodically send first information to the network device, where the first information indicates the first capability of the terminal. For another example, after the terminal reports the first capability of the terminal to the network device, if the first capability changes, the terminal may send first information to the network device, where the first information indicates the updated first capability of the terminal. The first capability update may include: an update of the terminal's ability to support gap measurement, and / or an update of the terminal's ability to predict neighboring area measurement results.

[0266] This application does not make any specific restrictions on this. Accordingly, the network device can receive the first information. The preset duration can be set according to actual needs, and this application does not make any specific restrictions on this.

[0267] As an example, when the terminal sends the first information to the network device, the first information may be carried in a radio resource control protocol (RRC) or other messages, and this application does not impose any limitation on this.

[0268] In one possible implementation, the network device may obtain the first information from the core network or other network devices, and this application does not impose any restrictions on this.

[0269] S302: Send second information based on the first information, where the second information instructs the terminal to predict a neighboring cell measurement result.

[0270] In this embodiment, after obtaining the first information, the network device may send second information to the terminal based on the first information, where the second information instructs the terminal to predict the neighboring cell measurement result. Accordingly, the terminal may receive the second information.

[0271] As an example, the second information may be carried in an RRC message, a media access control-control element (MAC-CE) signaling, or other messages, which is not limited here.

[0272] As an example, after receiving the second information, the terminal can independently determine the prediction method of the neighboring cell measurement result. The prediction method of the neighboring cell measurement result can be pre-configured in the terminal in advance, or can be configured to the terminal by the network device, and this application does not limit this.

[0273] In this embodiment, when the operating frequency of the neighboring cell is inconsistent with the operating frequency of the cell where the terminal is located, and the terminal does not support gap measurement, the network device can, after obtaining the ability of the terminal to predict the neighboring cell measurement result, instruct the terminal to obtain the neighboring cell measurement result by prediction, so that the terminal that does not support gap measurement can obtain the neighboring cell measurement result without accessing the neighboring cell; in addition, the terminal does not need to perform gap switching when predicting the neighboring cell measurement result, so the problem of a decrease in the peak throughput of the terminal due to the execution of gap switching will not occur, thereby improving the communication performance of the terminal.

[0274] It is understandable that when the terminal supports gap measurement, the network device can also instruct the terminal to obtain neighboring cell measurement results through prediction, so that the terminal will not suffer the problem of peak throughput reduction due to gap switching, thereby improving the communication performance of the terminal.

[0275] Figure 4 is a schematic flow chart of a communication method provided in another embodiment of the present application. The communication method shown in Figure 4 is a refinement of the communication method shown in Figure 3. As shown in Figure 4, the method may include S401 to S404.

[0276] S401: Acquire first information, where the first information indicates a first capability of a terminal.

[0277] In this embodiment, the description of the first capability and the network device acquiring the first information can be referred to S301 and will not be repeated here.

[0278] In one possible implementation, a network device may instruct a terminal to report its first capability based on network requirements. For example, the network device may send sixth information to the terminal, where the sixth information is used to request the first information, or instruct the terminal to report its first capability. Accordingly, the terminal may receive the sixth information and, after receiving the sixth information, send the first information to the network device. Network requirements include, for example, network coverage requirements, terminal access or service requirements, load balancing requirements, and the like, which are not limited herein.

[0279] As an example, the terminal's ability to predict neighboring cell measurement results may include at least one of the following information: a prediction method supported by the terminal, a relationship between the supported prediction method and the communication frequency band, or performance-related parameters of the supported prediction method. The prediction method may also be referred to as an inference method.

[0280] As an example, the prediction method supported by the terminal may include predicting the neighboring area measurement result based on the historical measurement result of the cell where the terminal is located. For example, the network device may send the measurement configuration of the cell where the terminal is located to the terminal, and the terminal may measure the signal quality of the cell where the terminal is located based on the measurement configuration sent by the network device, thereby obtaining the historical measurement result of the cell where the terminal is located. The terminal can predict the signal quality of the neighboring area based on the historical measurement result of the cell where the terminal is located, thereby predicting the neighboring area measurement result. It should be noted that, assuming that the moment when the terminal starts to predict the neighboring area measurement result is the first moment, the historical measurement result of the cell where the terminal is located may include the signal quality of the cell where the terminal is located at the first moment, or may include the signal quality of the cell where the terminal is located from the second moment to the first moment, and the first moment is later than the second moment. It should be understood that the length of the interval between the second moment and the first moment can be set according to actual needs and is not limited here. In the embodiment of the present application, the prediction method of predicting the neighboring area measurement result based on the historical measurement result of the cell where the terminal is located can be called different-frequency reasoning, or different-frequency prediction.

[0281] In this embodiment, the neighboring cell measurement results predicted by the terminal may include neighboring cell measurement results within a first preset duration, and the starting time of the first preset duration may be the time when the terminal predicts the neighboring cell measurement results. The first preset duration may be set according to actual needs, or may be set based on the terminal's ability to predict neighboring cell measurement results, or may be configured by a network device based on network needs, and is not specifically limited here. In some embodiments, the time when the terminal starts predicting the neighboring cell measurement results is set as the first moment, the starting time of the first preset duration may be a third moment, and the duration between the third moment and the first moment satisfies the preconfigured duration.

[0282] As an example, when the operating frequency of the cell where the terminal is located is inconsistent with the operating frequency of the neighboring cell, but the terminal supports gap measurement, the prediction method supported by the terminal may include predicting the neighboring cell measurement result based on the historical measurement result of the neighboring cell. In the embodiment of the present application, the prediction method of predicting the neighboring cell measurement result based on the historical measurement result of the neighboring cell may be referred to as same-frequency reasoning, or same-frequency prediction. Among them, the specific implementation method of the same-frequency prediction can refer to the relevant description of the different-frequency prediction in the aforementioned embodiment, which will not be repeated here.

[0283] For example, if the operating frequency of the cell in which the terminal is located is different from that of the neighboring cell, but the terminal supports gap measurement, the prediction method supported by the terminal may include intra-frequency prediction, but may use fewer measurement resources. It should be understood that the measurement resources used by the terminal when predicting neighboring cell measurement results using intra-frequency prediction may vary depending on the terminal's ability to predict neighboring cell measurement results.

[0284] As an example, the prediction method supported by the terminal can be associated with the communication frequency band. For example, band A can support same-frequency prediction, and band B can support different-frequency prediction. The band can include the band supported by the cell where the terminal is located, and can also include the band supported by the neighboring cell. It should be noted that the terminal can measure the signal quality of the cell where the terminal is located on the band supported by the cell where the terminal is located; and measure the signal quality of the neighboring cell on the band supported by the neighboring cell. A cell can support one or more bands.

[0285] In the embodiments of the present application, bands can be divided into measurement bands and prediction bands, with the prediction band also being referred to as an inference band. A preset mapping relationship exists between the measurement band and the prediction band. This preset mapping relationship can be set based on actual needs or configured by network equipment based on network requirements, without limitation herein. The terminal can measure signal quality on the measurement band and, based on the measurement results of the measurement band, predict signal quality on the prediction band, thereby obtaining measurement results for the prediction band.

[0286] As an example, when the terminal performs inter-frequency prediction, the band supported by the cell where the terminal is located can be used as the measurement band, and the band supported by the neighboring cell can be used as the prediction band, thereby realizing the prediction of the neighboring cell measurement results; when the terminal performs intra-frequency prediction, the band supported by the neighboring cell can be used as both the measurement band and the prediction band, thereby realizing the prediction of the neighboring cell measurement results.

[0287] The following uses Table 1 as an example to illustrate the preset relationship between the measurement band and the prediction band.

[0288] Table 1

[0289] As shown in Table 1, the measurement bands include band A and band B, the predicted bands corresponding to band A include band A, band B, and band C, and the predicted bands corresponding to band B include band B and band C. The terminal can predict the measurement results of bands A, B, and C based on the measurement result of band A, and can predict the measurement results of bands B and C based on the measurement result of band B.

[0290] Taking band A as an example, if band A only supports intra-frequency prediction, bands A, B, and C can be bands supported by the same cell, or bands A, B, and C can be bands supported by different cells with the same operating frequency. If band A supports inter-frequency prediction, bands B and C can be bands supported by the same cell or different cells with different operating frequencies.

[0291] As an example, when the terminal performs inter-frequency prediction, the band supported by the cell where the terminal is located can be used as the measurement band, and the band supported by the neighboring cell can be used as the prediction band, thereby realizing the prediction of the neighboring cell measurement results; when the terminal performs intra-frequency prediction, the band supported by the neighboring cell can be used as both the measurement band and the prediction band, thereby realizing the prediction of the neighboring cell measurement results.

[0292] As an example, the preset relationship between the prediction method supported by the terminal and the band, or the preset relationship between the measurement band and the prediction band, can be predefined by the protocol, or pre-configured in the terminal in advance, or configured by the network device according to network requirements, and is not limited here.

[0293] As an example, the performance-related parameters of the prediction method supported by the terminal include a sample input range and / or performance-related indicators. The performance-related indicators may include at least one of the following: a prediction result range, a prediction accuracy, a prediction error, the number of cells supporting prediction, an identification range of cells supporting prediction, the number of beams supporting prediction in each cell, or an index value (index) of a beam supporting prediction in each cell. It should be noted that the performance-related parameters may not be limited to the parameters shown in this embodiment, and different parameters may be set according to actual needs, and this application does not impose any restrictions on this. It should be understood that the performance-related parameters of the prediction method may be different depending on the prediction method.

[0294] The sample input range may include at least one of the following information: the length of the sample time window, the range of the sample data volume, or the proportion of the measured resource overhead (reduction). The sample may include the historical measurement results of the cell where the terminal is located or the historical measurement results of the neighboring cell. The proportion of the measured resource overhead (reduction) can be understood as the ratio of the difference between the measured resource overhead and the preset resource overhead to the preset resource overhead. The preset resource overhead can be set according to actual needs or configured by the network device, and is not limited here.

[0295] In some embodiments, the sample input range may exist independently of the performance-related indicator, or may have a preset relationship with the performance-related indicator. For example, when the measured resource overhead (reduction) accounts for a%, the performance-related indicator is adjusted to b%. b% can be an adjustment factor for each performance-related indicator. For another example, the larger the sample data volume, the higher the prediction accuracy and the smaller the prediction error. For another example, the longer the sample time window length, the higher the prediction accuracy and the smaller the prediction error.

[0296] As an example, the prediction result range may include the time window length of the predicted data and / or the data volume range of the predicted data. The predicted data may include the predicted neighboring area measurement results. In some embodiments, the data volume range of the predicted data may be related to the time window length of the predicted data. For example, when the time window length is 1 second (s), the data volume range is X, and when the time window length is 2 seconds, the data volume range is Y.

[0297] As an example, prediction accuracy can be understood as the accuracy of the neighboring cell measurement result predicted by the terminal. For example, prediction accuracy can be expressed as the percentage of the difference between the neighboring cell measurement result predicted by the terminal and the actual neighboring cell measurement result to the actual neighboring cell measurement result. The difference between the neighboring cell measurement result predicted by the terminal and the actual neighboring cell measurement result can be expressed as an absolute value.

[0298] As an example, prediction accuracy can be understood as the accuracy of the correctness of the neighboring cell measurement result predicted by the terminal, or the confidence level of the neighboring cell measurement result predicted by the terminal. For example, when the prediction accuracy is 90%, it means that there is a 90% probability that the neighboring cell measurement result predicted by the terminal is correct, that is, the accuracy of the neighboring cell measurement result predicted by the terminal is high.

[0299] As an example, prediction accuracy can be related to the length of the time window. For example, when the time window length is 1 second, the prediction accuracy is 90%, and when the time window length is 2 seconds, the prediction accuracy is 80%. For another example, assuming the terminal starts prediction at 0 seconds, the prediction accuracy corresponding to the time window from 0 seconds to 1 second can be 90%, and the prediction accuracy corresponding to the time window from 1 second to 2 seconds can be 80%. Prediction accuracy can also be called inference accuracy.

[0300] As an example, the prediction error may be represented by a root mean square error (RMSE) or other error representations, which are not limited here.

[0301] As an example, the prediction error can be related to the time window length. For example, when the time window length is 1 second, the prediction error is 2 decibel milliwatts (dBm), and when the time window length is 2 seconds, the prediction error is 4 dBm. For another example, assuming the terminal starts prediction at 0 seconds, the prediction error for the time window from 0 seconds to 1 second may be 2 dBm, and the prediction error for the time window from 1 second to 2 seconds may be 4 dBm. The prediction error can also be called the inference error.

[0302] As an example, the prediction result range, prediction accuracy, or prediction error granularity can be at the cell level, beam level, or band level. Different prediction methods can have different or the same corresponding prediction result range, prediction accuracy, or prediction error granularity.

[0303] The prediction granularity of the prediction method can be at the cell level, the beam level, or the band level. The prediction granularity of the cell can be understood as the prediction methods of different cells can be different or the same, the prediction granularity of the beam can be understood as the prediction methods of different beams in the same cell can be the same or different, and the prediction granularity of the band can be understood as the prediction methods of the bands supported by the same cell can be the same or different. Among them, when the prediction granularity of the prediction method is at the cell level, the performance-related indicators of the prediction method can include the number of cells supporting prediction and / or the identification range of cells supporting prediction. For example, when the prediction granularity of the prediction method is at the beam level, the performance-related indicators of the prediction method can include the number of beams supporting prediction and / or the beam index value (index) supporting prediction in each cell.

[0304] S402: Send second information based on the first information, where the second information instructs the terminal to predict a neighboring cell measurement result.

[0305] In this embodiment, after obtaining the first information, the network device may send second information to the terminal based on network requirements and the first information, where the second information instructs the terminal to predict neighboring cell measurement results. Accordingly, the terminal may receive the second information.

[0306] In this embodiment, when instructing the terminal to predict the neighboring cell measurement result, the network device may send a prediction configuration to the terminal to indicate the prediction requirement and / or reporting requirement of the neighboring cell measurement result. For example, the network device may send the prediction configuration to the terminal via the second information.

[0307] As an example, the prediction requirement may include a first prediction method for the terminal to predict neighboring cell measurement results. The first prediction method may include a prediction method for each neighboring cell, or may include a prediction method for each beam in each neighboring cell, or may include a prediction method for each band supported by each neighboring cell.

[0308] As an example, the prediction requirement may include a specified measurement cell, measurement beam, or measurement band, so that the terminal measures the signal quality in the specified measurement cell, measurement beam, or measurement band, thereby obtaining samples. The terminal may predict neighboring cell measurement results based on the samples.

[0309] As an example, the prediction requirement may include a specified prediction cell, a prediction beam, or a prediction band, so that the terminal can predict the measurement result on the specified prediction cell, prediction beam, or prediction band based on the sample.

[0310] As an example, the second information also includes at least one of the following prediction requirements: the time window length of the neighboring area measurement result predicted by the terminal should conform to the first prediction time window length, the accuracy of the neighboring area measurement result predicted by the terminal should conform to the first prediction accuracy, the error of the neighboring area measurement result predicted by the terminal should conform to the first prediction error, or the predicted delay of the terminal predicting the neighboring area measurement result should conform to the first prediction delay. The predicted delay of the terminal predicting the neighboring area measurement result can be understood as the time length from the moment the terminal receives the second information to the moment the terminal starts predicting the neighboring area measurement result. It should be noted that the first prediction time window length, the first prediction accuracy, the first prediction error, or the first prediction delay can be a specific value or a value range, and is not limited here.

[0311] As an example, the second information may also include the following reporting requirements: the delay for the terminal to report the predicted neighboring cell measurement result to the network device must comply with the first reporting delay. The reporting delay can be understood as the duration from the moment the terminal predicts the neighboring cell measurement result to the moment the terminal reports the predicted neighboring cell measurement result to the network device. It should be noted that the first reporting delay can be a specific value or a range of values, and is not limited here.

[0312] In embodiments of the present application, a network device may determine a predicted configuration for neighboring cell measurement results sent to a terminal based on network requirements and the terminal's ability to predict neighboring cell measurement results. For example, the predicted configuration for each cell, each beam within a cell, or each band supported by a cell may be different or the same, without limitation herein.

[0313] As an example, the network device may determine the first prediction time window length based on at least one of the following information: a prediction result range of a prediction method supported by the terminal, or a time window length of a neighboring area measurement result required by the network.

[0314] As an example, the network device can determine the first prediction accuracy based on at least one of the following information: the sample input range of the prediction method supported by the terminal, the prediction accuracy of the prediction method supported by the terminal, the prediction error of the prediction method supported by the terminal, or the prediction accuracy of the neighboring area measurement result required by the network.

[0315] As an example, the network device can determine the first prediction error based on at least one of the following information: the sample input range of the prediction method supported by the terminal, the prediction accuracy of the prediction method supported by the terminal, the prediction error of the prediction method supported by the terminal, or the prediction error of the neighboring area measurement result required by the network.

[0316] As an example, the network device may determine the first predicted delay or the first reporting delay based on the predicted delay of the neighboring cell measurement result required by the network and / or the computing power of the terminal.

[0317] In some implementations, the terminal may not be able to complete the prediction according to the prediction configuration issued by the network device, or the terminal may not be able to predict the first neighboring area measurement result, or the neighboring area measurement result predicted by the terminal does not conform to the first neighboring area measurement result. Therefore, the network device may also indicate the processing method for the terminal to be unable to predict the first neighboring area measurement result. The first neighboring area measurement result can be understood as the neighboring area measurement result reported by the network device to the terminal, or the first neighboring area measurement result is a neighboring area measurement result that conforms to the prediction configuration. For example, the first neighboring area measurement result is a neighboring area measurement result predicted based on the first prediction method, or the time window length of the first neighboring area measurement result conforms to the first prediction time window length, or the accuracy of the first neighboring area measurement result conforms to the first prediction accuracy, or the error of the first neighboring area measurement result conforms to the first prediction error, or the predicted delay of the first neighboring area measurement result conforms to the first predicted delay, or the delay for the terminal to report the first neighboring area measurement result conforms to the first reporting delay.

[0318] As an example, the processing method may include: the terminal sending indication information to the network device that the first neighboring cell measurement result cannot be predicted, or the terminal may report information that it can provide.

[0319] As an example, the prediction configuration can be included in the measurement configuration and delivered to the terminal. For example, the prediction configuration can be added to the existing measurement configuration. Existing measurement configurations include minimization drive test (MDT) and synchronization signal block measurement timing configuration (SMTC).

[0320] As an example, the second information may further include at least one of the following: an activation condition for the predicted configuration, a deactivation condition for the predicted configuration, or a validity period for the predicted configuration. The activation or deactivation condition for the predicted configuration may be a condition for each cell, each beam, or each communication frequency band.

[0321] In some implementations, if the terminal itself has a prediction requirement for neighboring area measurement results, it can send seventh information to the network device to request the network device to send indication information for predicting neighboring area measurement results, thereby meeting the terminal's prediction requirements. Accordingly, the network device can receive the seventh information and, after receiving the seventh information, determine whether to instruct the terminal to predict the neighboring area measurement results based on network requirements. If the network device instructs the terminal to predict the neighboring area measurement results, the terminal can autonomously determine the prediction method for the neighboring area measurement results, or the network device can send the terminal the measurement configuration of the cell or neighboring area where the terminal is located. The measurement configuration may include or may not include the prediction configuration. When the measurement configuration does not include the prediction configuration, the terminal can autonomously determine the prediction method for the neighboring area measurement results.

[0322] As an example, the module for determining the predicted configuration in the network device may be located in the network device, in the CU, in the CU-CP, or in the CU-CP1, although this application does not limit this. When located in the CU-CP1, the gNB-CU-CP2 is responsible for interacting with the terminal. For example, the CU-CP2 may receive the first capability of the UE and deliver the predicted configuration or other interaction information to the terminal.

[0323] As an example, the module for determining the predicted configuration in the network device may be an AI module or other modules, and this application does not limit this.

[0324] S403: Receive third information, where the third information indicates a first prediction result of a neighboring cell measurement.

[0325] In this embodiment, after receiving the second information, the terminal may predict and report the neighboring cell measurement result based on the prediction configuration issued by the network device. For example, after completing the prediction of the neighboring cell measurement result according to the prediction configuration issued by the network device, the terminal may send third information to the network device, where the third information indicates the first prediction result of the neighboring cell measurement. Accordingly, the network device may receive the third information.

[0326] In some implementations, when the terminal cannot predict the first neighboring cell measurement result, or when the neighboring cell measurement result predicted by the terminal does not conform to the first neighboring cell measurement result, the terminal may choose to report information that the terminal itself can provide.

[0327] As an example, the terminal may report to the network device a first prediction result that does not conform to the first neighboring cell measurement result. For example, the first prediction result is not obtained based on the first prediction method, or the first prediction result does not conform to the first prediction time window length, or the first prediction result does not conform to the first prediction accuracy, or the first prediction result does not conform to the first prediction error, or the first prediction result does not conform to the first prediction delay, or the delay for the terminal to report the first prediction result does not conform to the first reporting delay. The fact that the first prediction result does not conform to the first prediction time window length can be understood as meaning that the time window length of the first prediction result is longer or shorter than the first prediction time window length; the fact that the first prediction result does not conform to the first prediction accuracy can be understood as meaning that the prediction accuracy of the first prediction result is higher or lower than the first prediction accuracy; the fact that the first prediction result does not conform to the first prediction error can be understood as meaning that the prediction error of the first prediction result is greater than or less than the first prediction error; the fact that the first prediction result does not conform to the first prediction delay can be understood as meaning that the prediction delay of the first prediction result is greater than or less than the first prediction delay; and the delay for the terminal to report the first prediction result does not conform to the first reporting delay can be understood as meaning that the delay for the terminal to report the first prediction result is greater than or less than the first reporting delay.

[0328] In one possible implementation, the first prediction result may be a neighboring area measurement result obtained by the terminal falling back to a non-AI prediction method.

[0329] As an example, the third information may also include that the first prediction result obtained by the terminal does not conform to the first neighboring area measurement result. For example, the third information further includes at least one of the following information: the reason why the first prediction result is not predicted based on the first prediction method, the reason why the first prediction result does not conform to the first prediction time window length, the reason why the first prediction result does not conform to the first prediction accuracy, the reason why the first prediction result does not conform to the first prediction delay, or the reason why the delay in the terminal reporting the first prediction result does not conform to the first reporting delay.

[0330] As an example, the reason why the terminal cannot predict the first neighboring cell measurement result may include at least one of the following: insufficient computing power of the terminal, insufficient prediction capability of the terminal, insufficient power of the terminal, excess computing power of the terminal, excess prediction capability of the terminal, or excess power of the terminal. For example, when the computing power of the terminal is insufficient, the terminal may be unable to predict the neighboring cell measurement result based on the first prediction method, or the time window length of the first prediction result may be shorter than the first prediction time window length, or the prediction accuracy of the first prediction result may be lower than the first prediction accuracy, or the prediction delay of the first prediction result may be longer than the first prediction delay, or the delay for the terminal to report the first prediction result may be longer than the first reporting delay. For another example, when the prediction capability of the terminal is excessive, the terminal may select another prediction method to predict the neighboring cell measurement result, so that the first prediction result is not predicted based on the first prediction method, or the terminal may report a first prediction result that is longer than the first prediction time window length, or may report a first prediction result that is higher than the first prediction accuracy, or may report a first prediction result that is shorter than the first prediction delay, or may report a first prediction result that is shorter than the first reporting delay.

[0331] It can be understood that if the third information indicates the first prediction result rather than the first neighboring area measurement result, it implicitly indicates that the terminal cannot predict the first neighboring area measurement result, or implicitly indicates that the computing power of the terminal is insufficient or excessive, or implicitly indicates that the prediction capability of the terminal is insufficient or excessive, or implicitly indicates that the power of the terminal is insufficient or excessive.

[0332] In a possible implementation, the third information may also include the cell, beam or band actually measured by the terminal.

[0333] In some implementations, when the terminal is unable to predict the first neighboring cell measurement result, it may recommend a prediction configuration to the network device. For example, the terminal may send fifth information to the network device, where the fifth information indicates the prediction configuration recommended by the terminal. For example, the fifth information may include at least one of the following: a second prediction method for predicting the neighboring cell measurement result, a second prediction time window length for the neighboring cell measurement result, a second prediction accuracy for the neighboring cell measurement result, a second prediction delay for the neighboring cell measurement result, or a second reporting delay for the terminal to report the neighboring cell measurement result.

[0334] As an example, the terminal may also indicate to the network device the reason for recommending the prediction configuration. For example, the fifth information may also include at least one of the following: a reason for recommending the second prediction method, a reason for recommending the second prediction time window length, a reason for recommending the second prediction accuracy, a reason for recommending the second prediction delay, or a reason for recommending the second reporting delay. For example, the reason for recommending the second prediction method may be that the prediction method has a high accuracy, the time window length of the prediction data of the second prediction method is long, etc.

[0335] In some implementations, the network device may choose whether to synchronously update the stored capability information such as the computing power of the terminal and the capability to predict neighboring area measurement results based on the first prediction result.

[0336] S404: Send fourth information, where the fourth information instructs the terminal to predict a neighboring cell measurement result.

[0337] In this embodiment, if the terminal is unable to predict the first neighboring cell measurement result, the network device may determine whether the prediction configuration needs to be adjusted based on the third information reported by the terminal. If adjustment of the prediction configuration is required, the network device may send fourth information to the terminal, indicating the terminal's predicted neighboring cell measurement result. For example, the network device may determine the terminal's computing power, prediction capability, or power level based on the third information and determine whether the prediction configuration needs to be adjusted. Alternatively, the network device may determine whether the prediction configuration needs to be adjusted by determining whether the first prediction result indicated by the third information meets network requirements. Accordingly, the terminal may receive the fourth information.

[0338] As an example, after receiving the fourth information, the terminal may autonomously determine the prediction configuration to achieve prediction of neighboring cell measurement results.

[0339] As an example, the fourth information may include an updated prediction configuration sent by the base station to the terminal. The terminal may implement a prediction of neighboring cell measurement results based on the updated prediction configuration. In one possible implementation, the prediction configuration included in the fourth information may be a prediction configuration recommended by the terminal.

[0340] As an example, if the network device accepts the predicted configuration recommended by the terminal, the fourth information may include indication information that the updated predicted configuration is the predicted configuration recommended by the terminal. As an example, this indication information may be 1 bit. For example, when the indication information is "0", it indicates that the updated predicted configuration is the predicted configuration recommended by the terminal. For another example, when the indication information is "1", it indicates that the updated predicted configuration is the predicted configuration recommended by the terminal. In this example, the terminal device can determine the updated predicted configuration based on the fourth information.

[0341] In an embodiment of the present application, the terminal can interact with the network device to obtain a first capability of the neighboring area measurement result, such as the capability of predicting the neighboring area measurement result. The network device can send a prediction configuration to the terminal based on the first capability and network requirements. The terminal can predict the neighboring area measurement result based on the prediction configuration sent by the network device, and in the process of reporting the neighboring area measurement result, it can explicitly or implicitly indicate the completion status of the prediction of the neighboring area measurement result, the reason why the first neighboring area measurement result was not obtained according to the prediction configuration, or the recommended prediction configuration. The network device can adjust and update the prediction configuration based on the information reported by the terminal and the network requirements. In this embodiment, the terminal can not only obtain the neighboring area measurement result through gap measurement, but also obtain the neighboring area measurement result through prediction, which improves the flexibility of obtaining the neighboring area measurement result and improves the communication performance of the terminal.

[0342] Figure 5 is a schematic flow chart of a communication method provided by another embodiment of the present application. The communication method shown in Figure 5 is an implementation method of the communication method shown in Figure 4 in the ORAN architecture. In this communication method, O-CU-CP is used to determine the predicted configuration of the neighboring area measurement results, and O-RU serves as an intermediate node for interaction between the terminal and O-CU-CP. After O-CU-CP determines the predicted configuration of the neighboring area measurement results, it can be sent by O-RU to the terminal. In addition, the decision method for O-CU-CP to determine the predicted configuration of the neighboring area measurement results can come from real-time RIC or non-real-time RIC, or real-time RIC or non-real-time RCI can assist O-CU-CP in determining the predicted configuration of the neighboring area measurement results. As shown in Figure 5, the method may include S501 to S504.

[0343] S501: Acquire first information, where the first information indicates a first capability of a terminal.

[0344] In this embodiment, the terminal may actively send the first information to the O-CU-CP, or the terminal may send the first information under the instruction of the O-CU-CP. When the terminal interacts with the O-CU-CP, the O-RU may be used as a transfer node.

[0345] In this embodiment, the specific interaction content or interaction method between the terminal and the O-CU-CP can refer to S301 or S401, which will not be described in detail here.

[0346] In one achievable manner, the O-CU-CP may obtain the first information from the core network or other network devices.

[0347] S502: Send second information based on the first information, where the second information instructs the terminal to predict a neighboring cell measurement result.

[0348] In this embodiment, after receiving the first information, the O-CU-CP may send second information to the terminal based on network requirements and the first information, where the second information instructs the terminal to predict neighboring cell measurement results. Accordingly, the terminal may receive the second information.

[0349] In this embodiment, the specific implementation of S502 can refer to S402 and will not be described in detail here. In S502, the O-CU-CP performs the operations performed by the network device in S402. In addition, the interaction between the O-CU-CP and the terminal can use the O-RU as a transit node.

[0350] S503: Receive third information, where the third information indicates a first prediction result of a neighboring cell measurement.

[0351] In this embodiment, after receiving the second information, the terminal may predict and report the neighboring cell measurement result based on the prediction configuration sent by the O-CU-CP. For details, please refer to the relevant description in S403, which will not be repeated here.

[0352] In one implementable manner, the terminal may send the third information to the O-CU-CP through the O-RU, or may send the third information to the O-CU-UP through the O-RU, and the O-CU-UP forwards it to the O-CU-CP.

[0353] S504: Send fourth information, where the fourth information instructs the terminal to predict a neighboring cell measurement result.

[0354] In this embodiment, after receiving the third information, the O-CU-CP can determine whether the prediction configuration needs to be adjusted based on the third information and network requirements. If the prediction configuration needs to be adjusted, the indication information of the adjusted prediction configuration can be sent to the terminal through the O-RU. The specific implementation method can refer to S404 and will not be repeated here.

[0355] This embodiment proposes a method for obtaining neighboring cell measurement results in an O-RAN architecture. In this embodiment, the terminal can interact with the O-CU-CP to obtain the first capability of the neighboring cell measurement results, and the O-CU-CP can send a prediction configuration to the terminal based on the first capability and network requirements. The terminal can predict the neighboring cell measurement results based on the prediction configuration sent by the O-CU-CP, and in the process of reporting the neighboring cell measurement results, it can explicitly or implicitly indicate the completion status of the prediction of the neighboring cell measurement results, the reason why the first neighboring cell measurement result was not obtained according to the prediction configuration, or the recommended prediction configuration. The O-CU-CP can adjust and update the prediction configuration based on the information reported by the terminal and the network requirements. In this embodiment, the terminal can not only obtain the neighboring cell measurement results through gap measurement, but also obtain the neighboring cell measurement results through prediction, which improves the flexibility of obtaining the neighboring cell measurement results and improves the communication performance of the terminal.

[0356] It should be noted that the technical solution provided by this application can also be applied to other network architectures, without limitation. When the technical solution provided by this application is applied to other network architectures, adaptive adjustments can be made according to the communication method shown in FIG5 .

[0357] In one possible implementation, after obtaining neighboring cell measurement results, the obtained neighboring cell measurement results can be applied to a conditional handover (CHO) scenario. For example, the network device can instruct the terminal to obtain the measurement results of each CHO candidate cell, and assist the terminal in selecting a target cell based on the obtained measurement results of each CHO candidate cell, thereby completing CHO. This method is described in detail below with reference to Figure 6.

[0358] Figure 6 is a schematic flow chart of a communication method provided in yet another embodiment of the present application. As shown in Figure 6 , the method may include S601 to S603.

[0359] S601: Acquire first information, where the first information indicates a first capability of a terminal.

[0360] In this embodiment, the specific implementation of S601 may refer to S301 or S401 and will not be described in detail here.

[0361] In this embodiment, the first capability may further include whether the terminal supports performing CHO based on the predicted CHO candidate cell measurement results. For example, the first capability may further include whether the terminal supports performing CHO based on the predicted CHO candidate cell measurement results. It should be understood that the number of CHO candidate cells may be one or more.

[0362] In this embodiment, the first information may also include a method for obtaining measurement results for each CHO candidate cell that the terminal desires. For example, it is desired that Q% of the CHO candidate cells use intra-frequency prediction, and W% of the CHO candidate cells use inter-frequency prediction. For another example, the CHO candidate cells with cell identifiers o and p use intra-frequency prediction, while the CHO candidate cells with cell identifiers k and l use inter-frequency prediction.

[0363] S602: Send second information based on the first information, where the second information instructs the terminal to predict measurement results of CHO candidate cells and select a target cell.

[0364] In this embodiment, the network device may determine a predicted configuration for one or more CHO candidate cells based on the first information and network requirements, and issue the result to the terminal. For example, the network device may determine a predicted configuration for Z% of the CHO candidate cells, where Z is an integer greater than or equal to 0. The implementation of the network device determining the predicted configuration for the CHO candidate cells can be found in S402 and will not be further described here.

[0365] As an example, the network device has not determined the predicted configuration of the CHO candidate cell, and the terminal may autonomously determine the predicted configuration, or the network device may instruct the terminal to autonomously determine the predicted configuration.

[0366] As an example, the module for determining the predicted configuration in the network device may be located in the network device, in the CU, in the CU-CP, or in the CU-CP1, although this application does not limit this. When located in the CU-CP1, the gNB-CU-CP2 is responsible for interacting with the terminal. For example, the CU-CP2 may receive the first capability of the UE and deliver the predicted configuration or other interaction information to the terminal.

[0367] As an example, the module for determining the predicted configuration in the network device may be an AI module or other modules, and this application does not limit this.

[0368] As an example, the second information may be carried in the CHO configuration.

[0369] As an example, the second information may include a list of CHO candidate cells and a prediction configuration. The prediction configuration may be a prediction configuration for each CHO candidate cell, or a prediction configuration for each beam in each CHO candidate cell, or a prediction configuration for each band supported by each CHO candidate cell, which is not limited here. For example, CHO candidate cell A and CHO candidate cell B use same-frequency prediction, and CHO candidate cell C uses different-frequency prediction; for another example, the beam with an index value (index) of 1 in CHO candidate cell A uses same-frequency prediction, and the beam with an index value of 2 uses different-frequency prediction; for another example, the measurement results of CHO candidate cell A and the measurement results of CHO candidate cell B are predicted based on band a supported by CHO candidate cell A, or the measurement results of CHO candidate cell C are predicted based on band b supported by CHO candidate cell A.

[0370] As an example, the second information may further include instruction information for selecting a target cell based on the measurement result of the CHO candidate cell, thereby instructing the terminal to use the measurement result of the CHO candidate cell as a basis for selecting the target cell.

[0371] As an example, the second information may also include a first judgment criterion for selecting a target cell based on the measurement results of the CHO candidate cell. For example, a CHO candidate cell whose prediction accuracy is greater than or equal to the first accuracy threshold is used as the target cell; for another example, within the second preset time period, a CHO candidate cell whose predicted RSRP is greater than or equal to the first power threshold is used as the target cell; for another example, a CHO candidate cell using the first preset prediction method is used as the target cell; for another example, a CHO candidate cell whose prediction error is less than or equal to the first error threshold is used as the target cell. The predicted RSRP may be the RSRP predicted within the second preset time period. It should be noted that the first accuracy threshold, the first power threshold, the second preset time period, the first preset prediction method, or the first prediction error can be determined according to actual needs and are not limited here. For example, the first preset prediction method may be co-frequency prediction.

[0372] As an example, when selecting a target cell based on a CHO candidate cell measurement result, the CHO candidate cell measurement result may be corrected to improve the accuracy of target cell selection. Therefore, the second information may include a method for correcting the CHO candidate cell measurement result. The correction method may include: adding R dBm to the CHO candidate cell measurement result, reducing the accuracy of the CHO candidate cell measurement result obtained by inter-frequency prediction by T%, or reducing the accuracy of the CHO candidate cell measurement result obtained by inter-frequency prediction by T dB.

[0373] As an example, the second information may also instruct the terminal to report CHO process information and / or a reporting method for the CHO process information, so that the network device can learn the process of the terminal selecting the target cell. The CHO process information may be understood as the target cell selection process and selection result of the terminal performing the CHO process. The CHO process information may include at least one of the following information: the measurement result of each CHO candidate cell, the prediction method used when predicting the measurement result of each CHO candidate cell, the correction method used when correcting the measurement result of each CHO candidate cell, the duration of the terminal performing CHO, the duration of the terminal's service interruption, or the reason for selecting the target cell. It should be noted that the duration of the terminal's service interruption may be understood as the duration of the service interruption when the terminal performs CHO. The reason for selecting the target cell may be, for example, high prediction accuracy, high predicted RSRP, etc. The CHO process information may also include at least one of the following information: the identifier of the CHO candidate cell that successfully switched during the CHO process, the identifier of the CHO candidate cell that failed to switch during the CHO process, or other information in the prediction configuration used when predicting the measurement result of each CHO candidate cell.

[0374] As an example, the CHO process information is reported through a specific cell. For example, the specific cell may be a source cell. The source cell may be understood as a cell that the terminal accesses before accessing the target cell.

[0375] It should be noted that when the number of CHO candidate cells is multiple, the prediction configuration used by the terminal to predict the measurement results of each CHO candidate cell may be the same or different, the correction method of each CHO candidate cell prediction result may be different or the same, or the reporting method of each CHO candidate cell prediction result may be different or the same. This application does not impose any restrictions on this.

[0376] As an example, the second information may also include a method for handling when the terminal cannot complete the prediction according to the prediction configuration issued by the network device. For example, the terminal may independently determine the prediction configuration and complete the prediction and report based on the independently determined prediction configuration, or the terminal may directly report the indication that the prediction cannot be completed according to the prediction configuration issued by the network device.

[0377] In some implementations, the network device or the cell where the terminal is located can configure candidate CHO candidate cells for the terminal, so that when the terminal cannot predict the CHO candidate cells in the CHO candidate cell list according to the prediction configuration issued by the network device, and thus cannot select the target cell, it can predict the measurement results of the candidate CHO candidate cells, thereby achieving the selection of the target cell.

[0378] S603: Receive third information, where the third information indicates CHO process information.

[0379] In this embodiment, after receiving the second information, the terminal may predict the measurement results of the CHO candidate cells based on the second information, and select the target cell based on the predicted measurement results of the CHO candidate cells, thereby implementing CHO. After implementing CHO, the terminal may send third information to the network device, where the third information indicates CHO process information.

[0380] As an example, when a terminal can predict CHO candidate cell measurement results and complete target cell selection according to the predicted configuration of the CHO candidate cell issued by the network device, the terminal can, after switching to or accessing the target cell, send third information to the source cell through the target cell, thereby reporting CHO process information to the network device. It should be noted that the CHO process information indicated by the third information can be determined autonomously by the terminal or can be reported by the terminal at the instruction of the network device, and this is not limited here.

[0381] As an example, when the terminal is unable to predict the measurement results of the CHO candidate cells and select the target cell according to the predicted configuration of the CHO candidate cells issued by the network device, the terminal can independently determine the predicted configuration of the CHO candidate cells, select the target cell according to its own network requirements, and then send third information to the source cell through the target cell to report CHO process information. It should be understood that in this example, the terminal can also report the reason why the terminal cannot predict the measurement results of the CHO candidate cells according to the predicted configuration of the CHO candidate cells issued by the network device, as described in S403.

[0382] In this embodiment, the network device can, based on the first capability reported by the terminal and the network requirements, send the terminal a predicted configuration for obtaining the CHO candidate cell measurement result in the CHO switching scenario, as well as instruction information for selecting the target cell based on the predicted CHO candidate cell measurement result, so that the terminal can switch to the target cell to improve the network performance of the terminal. In addition, the network device can instruct the terminal to report CHO process information, which provides a reference for the source cell to make subsequent related configuration decisions, thereby improving the communication performance of the system. This embodiment proposes a method for selecting a target cell based on the predicted CHO candidate cell, which improves the flexibility of the terminal in selecting the target cell, and because the time window length of the predicted CHO candidate cell measurement result is longer than the time window length of the measured CHO candidate cell measurement result, the target cell selected based on the predicted CHO candidate cell measurement result has better communication performance.

[0383] In one possible implementation, after obtaining the neighboring cell measurement results, the obtained neighboring cell measurement results can be applied to the cell reselection and re-establishment scenario. For example, the network device can instruct the terminal to obtain the measurement results of each cell reselection candidate cell, and assist the terminal in selecting the access cell based on the obtained measurement results of each cell reselection candidate cell, thereby completing the cell access. The method is described in detail below with reference to Figure 7. It should be understood that the communication method shown in Figure 7 is similar to the communication method shown in Figure 6, except that the communication method shown in Figure 7 is applied to the cell reselection and re-establishment scenario, and the communication method shown in Figure 6 is applied to the CHO switching scenario. Therefore, the communication method shown in Figure 7 can refer to the relevant description of the communication method shown in Figure 6, and will not be repeated in this embodiment. In the embodiment of the present application, the access cell may also be referred to as the re-establishment cell.

[0384] Figure 7 is a schematic flow chart of a communication method provided by another embodiment of the present application. As shown in Figure 7, the method may include S701 to S703.

[0385] S701: Acquire first information, where the first information indicates a first capability of a terminal.

[0386] In this embodiment, the specific implementation of S701 may refer to S301, S401 or S601, and will not be described in detail here.

[0387] In this embodiment, the first capability may further include whether the terminal supports performing cell reselection based on the predicted measurement results of the cell reselection candidate cells. For example, the first capability may further include whether the terminal supports performing cell reselection based on the predicted measurement results of the cell reselection candidate cells. It should be understood that the number of cell reselection candidate cells may be one or more.

[0388] In this embodiment, the first information may also include a method for obtaining the measurement result of each cell reselection candidate cell desired by the terminal. For example, it is desired that U% of the cell reselection candidate cells use intra-frequency prediction, and I% of the cell reselection candidate cells use inter-frequency prediction. For another example, the cell reselection candidate cells with cell identifiers f and g use intra-frequency prediction, while the cell reselection candidate cells with cell identifiers h and j use inter-frequency prediction.

[0389] S702: Send second information based on the first information, where the second information instructs the terminal to predict measurement results of candidate cells for cell reselection and select an access cell.

[0390] In this embodiment, the network device may determine a predicted configuration of one or more cell reselection candidate cells based on the first information and network requirements, and send the predicted configuration to the terminal. For example, the network device may determine a predicted configuration for V% of the cell reselection candidate cells, where V is an integer greater than or equal to 0.

[0391] The implementation method of the network device determining the predicted configuration for the cell reselection candidate cell may refer to S402 and will not be described in detail here.

[0392] As an example, if the network device has not determined the cell reselection candidate cell for which the prediction configuration is made, the terminal may autonomously determine the prediction configuration, or the network device may instruct the terminal to autonomously determine the prediction configuration.

[0393] As an example, the module for determining the predicted configuration in the network device may be located in the network device, in the CU, in the CU-CP, or in the CU-CP1, although this application does not limit this. When located in the CU-CP1, the gNB-CU-CP2 is responsible for interacting with the terminal. For example, the CU-CP2 may receive the first capability of the UE and deliver the predicted configuration or other interaction information to the terminal.

[0394] As an example, the module for determining the predicted configuration in the network device may be an AI module or other modules, and this application does not limit this.

[0395] As an example, the second information may be carried in the cell reselection configuration.

[0396] As an example, the second information may be carried in a system message of the cell, and the terminal may obtain the second information when reading the system message of the cell.

[0397] As an example, the second information may include a cell reselection candidate cell list and a prediction configuration. For a description of the prediction configuration, reference may be made to S402 or S602, which will not be repeated here.

[0398] As an example, the second information may further include instruction information for selecting an access cell based on the measurement result of the cell reselection candidate cell, thereby instructing the terminal to use the measurement result of the cell reselection candidate cell as a basis for selecting an access cell.

[0399] As an example, the second information may also include a second judgment criterion for selecting an access cell based on the measurement results of the cell reselection candidate cell. For example, a cell reselection candidate cell with a prediction accuracy greater than or equal to the second accuracy threshold is used as an access cell; for another example, within a third preset time period, a cell reselection candidate cell with a predicted RSRP greater than or equal to the first power threshold is used as an access cell; for another example, a cell reselection candidate cell using a second preset prediction method is used as an access cell; for another example, a cell reselection candidate cell with the highest priority may be used as an access cell. The predicted RSRP may be the RSRP predicted within the third preset time period; for another example, a cell reselection candidate cell with a prediction error less than or equal to the second error threshold may be used as an access cell. It should be noted that the second accuracy threshold, the second power threshold, the third preset time period, the second preset prediction method, or the second error threshold can be determined according to actual needs and are not limited here. For example, the second preset prediction method may be co-frequency prediction.

[0400] In this embodiment, when determining the priority of a cell reselection candidate cell using the R criterion and / or the S criterion, a correction term and / or correction coefficient of the R criterion and / or the S criterion may be added based on the prediction configuration of the cell reselection candidate cell to improve the calculation accuracy of the priority of the cell reselection candidate cell. The prediction configuration of the cell reselection candidate cell may include at least one of the following information: a prediction method used when predicting the measurement result of the cell reselection candidate cell, a prediction time window length of the cell reselection candidate cell measurement result, a prediction accuracy of the cell reselection candidate cell measurement result, a prediction error of the cell reselection candidate cell measurement result, or a prediction delay of the cell reselection candidate cell measurement result.

[0401] As an example, the network device may send an indication message to the terminal device to add a correction term and / or correction coefficient of the R criterion and / or the S criterion based on the predicted configuration of the cell reselection candidate cell.

[0402] As an example, the terminal may autonomously determine to add a correction term and / or correction coefficient to the R criterion and / or the S criterion based on the predicted configuration of the cell reselection candidate cell.

[0403] In a possible implementation, the network device may directly configure the R criterion and / or S criterion with added correction terms and / or correction coefficients for the terminal.

[0404] As an example, the second information also includes at least one of the following: a correction method for cell reselection candidate cell measurement results, an instruction for the terminal to report cell reselection process information, or a reporting method for cell reselection process information. The cell reselection process information can be understood as the access cell selection process and selection results performed by the terminal during the cell reselection process. The cell reselection process information includes at least one of the following: cell reselection candidate cell measurement results, a prediction method used when predicting the cell reselection candidate cell measurement results, a correction method used when correcting the cell reselection candidate cell measurement results, the duration of the terminal's cell reselection, or the reason for selecting the access cell. For details, please refer to the relevant description in S602 and are not repeated here. The cell reselection process information may also include at least one of the following: identifiers of cell reselection candidate cells that were successfully reselected during the cell reselection process, identifiers of cell reselection candidate cells that failed to be reselected during the cell reselection process, other information in the prediction configuration used when predicting the measurement results of each cell reselection candidate cell, a priority calculation result for each cell reselection candidate cell, and a priority calculation result for each cell reselection candidate cell calculated based on the R criterion and / or the S criterion.

[0405] It should be noted that if the newly added correction items and / or correction coefficients in the R criterion and / or the S criterion are independently determined by the terminal based on the predicted configuration of the cell reselection candidate cells, the cell reselection process information may also include the newly added correction items and / or correction coefficients in the R criterion and / or the S criterion when calculating the priority of each cell reselection candidate cell through the R criterion and / or the S criterion, as well as how the correction items and correction coefficients of the R criterion and / or the S criterion are determined.

[0406] It should be noted that when the number of cell reselection candidate cells is multiple, the prediction configuration used by the terminal when predicting the measurement result of each cell reselection candidate cell may be the same or different, and the correction method of each cell reselection candidate cell prediction result may be different or the same, or the reporting method of each cell reselection candidate cell prediction result may be different or the same, and this application does not impose any restrictions on this.

[0407] As an example, the second information may also include a method for handling when the terminal fails to complete the prediction according to the prediction configuration issued by the network device. For example, the relevant description in S602 is not repeated here. In this embodiment, the processing method may also include re-establishing the last serving cell to the terminal. The last serving cell can be understood as the cell that the terminal accessed before accessing the re-established cell.

[0408] S703: Receive third information, where the third information indicates cell reselection process information.

[0409] In this embodiment, after receiving the second information, the terminal may predict the measurement results of the cell reselection candidate cells based on the second information, and select an access cell based on the predicted measurement results of the cell reselection cell, thereby achieving cell reselection. After achieving cell reselection, the terminal may send third information to the network device, where the third information indicates information about the cell reselection process.

[0410] As an example, when a terminal can predict measurement results of candidate cells for cell reselection and complete selection of a re-established cell according to a predicted configuration of candidate cells for cell reselection issued by a network device, the terminal can, after accessing the re-established cell, send third information to the last serving cell via the re-established cell, thereby reporting cell reselection process information to the network device. It should be noted that the cell reselection process information indicated by the third information can be determined autonomously by the terminal or reported by the terminal at the instruction of the network device, and this is not limited here.

[0411] As an example, when a terminal is unable to predict measurement results of candidate cells for cell reselection and select a re-established cell according to the predicted configuration of candidate cells for cell reselection issued by a network device, the terminal may independently determine the predicted configuration of candidate cells for cell reselection, select a re-established cell based on its own network requirements, and then transmit third information to the last serving cell via the re-established cell to report information about the cell reselection process. It should be understood that in this example, the terminal may also report the reason why the terminal was unable to predict measurement results of candidate cells for cell reselection according to the predicted configuration of candidate cells for cell reselection issued by the network device, as described in S403.

[0412] In this embodiment, the network device can, based on the first capability reported by the terminal and the network requirements, send a predicted configuration for obtaining the measurement results of the cell reselection candidate cells in the cell reselection switching scenario to the terminal, as well as instruction information for selecting the re-established cell based on the predicted cell reselection candidate cell measurement results, so that the terminal can access the re-established cell. In addition, the network device can instruct the terminal to report cell reselection process information, which provides a reference for the subsequent relevant configuration decisions of the last serving cell, thereby improving the communication performance of the system. This embodiment proposes a method for selecting an access cell based on the predicted cell reselection candidate cells, which improves the flexibility of the terminal in selecting an access cell, and because the time window length of the predicted cell reselection candidate cell measurement results is longer than the time window length of the measured cell reselection candidate cell measurement results, the re-established cell selected based on the predicted cell reselection candidate cell measurement results has better communication performance.

[0413] Figure 8 is a schematic diagram of the structure of a communication device provided by one embodiment of the present application. As shown in Figure 8, device 800 may include: a processing module 810, a sending module 820, and a receiving module 830. In some embodiments, processing module 810 may control sending module 820 to send information and may control receiving module 830 to receive information.

[0414] As an example, the apparatus 800 may be used to implement the various steps / operations performed by the network device in the method shown in FIG. 3 , FIG. 4 , FIG. 5 , FIG. 6 , or FIG. 7 .

[0415] As an example, when the apparatus 800 is used to implement the method implemented by the network device in FIG3 , the processing module 810 can be used to implement S301, or the processing module 810 can control the receiving module 830 to implement the operation performed by the network device in S301; the sending module 820 can be used to implement the operation performed by the network device in S302.

[0416] As an example, when the apparatus 800 is used to implement the method implemented by the network device in FIG4 , the sending module 820 can be used to implement the operations performed by the network device in S402 and S404 ; the receiving module 830 can be used to implement the operations performed by the network device in S401 and S403 .

[0417] As an example, when the apparatus 800 is used to implement the method implemented by the O-CU-CP in the network device in FIG5 , the sending module 820 may be used to implement the operations performed by the O-CU-CP in S502 and S504, and the receiving module 830 may be used to implement the operations performed by the O-CU-CP in S501 and S503.

[0418] As an example, when the apparatus 800 is used to implement the method implemented by the network device in FIG6 , the sending module 820 can be used to implement the operation performed by the network device in S602 ; the receiving module 830 can be used to implement the operations performed by the network device in S601 and S603 .

[0419] As an example, when the apparatus 800 is used to implement the method implemented by the network device in FIG. 7 , the sending module 820 can be used to implement the operation performed by the network device in S702 ; the receiving module 830 can be used to implement the operations performed by the network device in S701 and S703 .

[0420] Figure 9 is a schematic diagram of the structure of a communication device provided in another embodiment of the present application. The device shown in Figure 9 can be used to implement the various steps / operations performed by the terminal in the methods shown in Figures 3, 4, 5, 6, or 7. As shown in Figure 9, device 900 may include a sending module 910 and a receiving module 920.

[0421] As an example, when the apparatus 900 is used to implement the method implemented by the terminal in FIG. 3 , the sending module 910 may be used to implement the operation performed by the terminal in S301 ; the receiving module 920 may be used to implement the operation performed by the terminal in S302 .

[0422] As an example, when the apparatus 900 is used to implement the method implemented by the terminal in FIG4 , the sending module 910 can be used to implement the operations performed by the terminal in S401 and S403 ; the receiving module 920 can be used to implement the operations performed by the terminal in S402 and S404 .

[0423] As an example, when the apparatus 900 is used to implement the method implemented by the terminal in FIG5 , the sending module 910 can be used to implement the operations performed by the terminal in S501 and S503 ; the receiving module 920 can be used to implement the operations performed by the terminal in S502 and S504 .

[0424] As an example, when the apparatus 900 is used to implement the method implemented by the terminal in FIG6 , the sending module 910 can be used to implement the operations performed by the terminal in S601 and S603 ; the receiving module 920 can be used to implement the operation performed by the terminal in S602 .

[0425] As an example, when the apparatus 900 is used to implement the method implemented by the terminal in FIG. 7 , the sending module 910 may be used to implement the operations performed by the terminal in S701 and S703 ; the receiving module 920 may be used to implement the operations performed by the terminal in S702 .

[0426] Figure 10 is a schematic diagram of the structure of a communication device provided by another embodiment of the present application. The device 1000 shown in Figure 10 can be used to implement the method executed by a terminal or network device in any of the above embodiments.

[0427] As shown in Figure 10, the apparatus 1000 of this embodiment includes a memory 1010, a processor 1020, a communication interface 1030, and a bus 1040. The memory 1010, the processor 1020, and the communication interface 1030 are connected to each other via the bus 1040.

[0428] The memory 1010 may be a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM). The memory 1010 may store a program. When the program stored in the memory 1010 is executed by the processor 1020, the processor 1020 is configured to execute the steps performed by the terminal or network device in the method shown in FIG. 3 , FIG. 4 , FIG. 5 , FIG. 6 , or FIG. 7 .

[0429] The processor 1020 can be a general-purpose central processing unit (CPU), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits to execute relevant programs to implement the communication method shown in the method embodiment of the present application.

[0430] The processor 1020 may also be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the communication method shown in the embodiment of the present application may be completed by hardware integrated logic circuits in the processor 1020 or software instructions.

[0431] The processor 1020 may also be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The methods, steps, and logic block diagrams disclosed in the embodiments of the present application may be implemented or executed. The general-purpose processor may be a microprocessor or any conventional processor.

[0432] The steps of the method disclosed in conjunction with the embodiments of the present application can be directly embodied as being executed by a hardware decoding processor, or can be executed by a combination of hardware and software modules in the decoding processor. The software module can be located in a mature storage medium in the art, such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory, or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 1010, and the processor 1020 reads the information in the memory 1010 and, in combination with its hardware, completes the functions required to be performed by the units included in the communication device of the present application. For example, the various steps / functions performed by the terminal or network device in the method shown in Figures 3, 4, 5, 6 or 7 can be executed.

[0433] Optionally, the memory 1010 and the processor 1020 may be integrated together.

[0434] The communication interface 1030 may use, but is not limited to, a transceiver or other transceiver device to implement communication between the apparatus 1000 and other devices or apparatuses.

[0435] The bus 1040 may include a path for transmitting information between various components of the device 1000 (eg, the memory 1010 , the processor 1020 , and the communication interface 1030 ).

[0436] Some embodiments of the present application also provide a computer program product that, when executed on a processor, can implement the methods described in the aforementioned embodiments. Some embodiments of the present application also provide a computer-readable storage medium that contains computer instructions that, when executed on a processor, can implement the methods described in the aforementioned embodiments.

[0437] It should be noted that the modules or components shown in the above embodiments may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASICs), one or more microprocessors (digital signal processors (DSPs), or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented by a processing element calling a program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call a program code, such as a controller. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0438] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware, software modules or any combination thereof. When software is used for implementation, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrations. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0439] The term "plurality" in this article refers to two or more. The term "and / or" in this article is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent three situations: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the previous and next associated objects are in an "or" relationship; in the formula, the character " / " indicates that the previous and next associated objects are in a "division" relationship. In addition, it should be understood that in the description of this application, words such as "first" and "second" are only used for the purpose of distinguishing the description, and cannot be understood as indicating or implying relative importance, nor can they be understood as indicating or implying order.

[0440] It is understood that the terms "exemplary" or "for example" herein are used to indicate examples, illustrations, or descriptions. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "for example" is intended to present the relevant concepts in a concrete manner.

[0441] It will be understood that the various numerical numbers involved in the embodiments of the present application are merely distinctions for the convenience of description and are not intended to limit the scope of the embodiments of the present application.

[0442] It can be understood that in the embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

Claims

1. A communication method, characterized in that: The method is applied to a network device, and the method includes: Acquire first information, where the first information indicates a first capability of the terminal, where the first capability includes an ability of the terminal to predict a neighboring cell measurement result; Second information is sent based on the first information, where the second information instructs the terminal to predict the neighboring cell measurement result.

2. The method according to claim 1, characterized in that The second information further includes a first prediction method used by the terminal to predict the neighboring cell measurement result.

3. The method according to claim 2, characterized in that The first prediction method includes predicting the neighboring cell measurement result based on the historical measurement result of the cell where the terminal is located; The second information further includes at least one of the following information: a first prediction time window length of the neighboring area measurement result, a first prediction accuracy of the neighboring area measurement result, a first prediction delay of the neighboring area measurement result, a first reporting delay of the neighboring area measurement result, or a processing method for the terminal to be unable to predict the first neighboring area measurement result, where the first neighboring area measurement result is the neighboring area measurement result reported by the terminal as instructed by the network device.

4. The method according to any one of claims 1 to 3, characterized in that The terminal's ability to predict neighboring cell measurement results includes at least one of the following information: a prediction method supported by the terminal, a relationship between the supported prediction method and the communication frequency band, or performance-related parameters of the supported prediction method, the supported prediction method includes predicting the neighboring cell measurement results based on historical measurement results of the cell where the terminal is located, and the performance-related parameters of the supported prediction method include at least one of the following information: sample input range, prediction result range, prediction accuracy, prediction error, the number of cells supporting prediction, the identification range of cells supporting prediction, or the number of beams supporting prediction in each cell.

5. The method according to any one of claims 1 to 4, characterized in that The neighboring cell measurement result includes the neighboring cell measurement result within a first preset time period, and a starting moment of the first preset time period is a moment when the terminal predicts the neighboring cell measurement result.

6. The method according to claim 3, characterized in that The method further comprises: Receive third information, where the third information indicates a first prediction result of the neighboring area measurement, where the first prediction result is not obtained based on the first prediction method, or the first prediction result does not conform to the first prediction time window length, or the first prediction result does not conform to the first prediction accuracy, or the first prediction result does not conform to the first prediction delay, or the delay for the terminal to report the first prediction result does not conform to the first reporting delay.

7. The method according to claim 6, characterized in that The method further comprises: Sending fourth information, where the fourth information instructs the terminal to predict the neighboring cell measurement result.

8. The method according to claim 7, characterized in that Before sending the fourth information, the method further includes: Receive fifth information, where the fifth information includes at least one of the following information recommended by the terminal: a second prediction method for predicting the neighboring area measurement result, a second prediction time window length of the neighboring area measurement result, a second prediction accuracy of the neighboring area measurement result, a second prediction delay of the neighboring area measurement result, or a second reporting delay for the terminal to report the neighboring area measurement result.

9. The method according to any one of claims 1 to 8, characterized in that The obtaining of the first information includes: sending sixth information, where the sixth information is used to request the first information; The first information is received.

10. The method according to any one of claims 1 to 9, characterized in that Before sending the second information based on the first information, the method further includes: Seventh information is received, where the seventh information is used to request the second information.

11. The method according to any one of claims 1 to 10, characterized in that When the neighboring cell measurement result is used for conditional handover (CHO), the first capability further includes whether the terminal supports performing CHO based on the predicted CHO candidate cell measurement result.

12. The method according to claim 11, characterized in that The method further comprises: Sending eighth information, where the eighth information includes at least one of the following information: instruction information for selecting a target cell based on the CHO candidate cell measurement result, a first judgment criterion for selecting a target cell based on the CHO candidate cell measurement result, a correction method for the CHO candidate cell measurement result, an instruction for the terminal to report CHO process information, or a reporting method for the CHO process information, where the CHO process information includes at least one of the following information: the CHO candidate cell measurement result, a prediction method used when predicting the CHO candidate cell measurement result, a correction method used when correcting the CHO candidate cell measurement result, a duration of CHO execution by the terminal, a service interruption duration of the terminal, or a reason for selecting the target cell; When there are multiple CHO candidate cells, when the terminal predicts the measurement result of each CHO candidate cell among the CHO candidate cells, at least two of the CHO candidate cells have at least one different item of the following information: prediction method, prediction time window length of the measurement result, prediction accuracy of the measurement result, prediction delay of the measurement result, reporting delay of the measurement result, or correction method of the measurement result.

13. The method according to claim 12, characterized in that The first judgment criterion includes at least one of the following: the prediction accuracy of the target cell is greater than or equal to a first accuracy threshold, the predicted reference signal received power of the target cell is greater than or equal to a first power threshold within a second preset time length, or the prediction method used when predicting the measurement result of the target cell conforms to the first preset prediction method.

14. A communication method, characterized in that: The method is applied to a terminal, and includes: Sending first information, where the first information indicates a first capability of the terminal, where the first capability includes an ability of the terminal to predict a neighboring cell measurement result; Second information is received, where the second information instructs the terminal to predict the neighboring cell measurement result.

15. The method according to claim 14, characterized in that The second information further includes a first prediction method used by the terminal to predict the neighboring cell measurement result.

16. The method according to claim 15, characterized in that The first prediction method includes predicting the neighboring cell measurement result based on the historical measurement result of the cell where the terminal is located; The second information further includes at least one of the following information: a first prediction time window length of the neighboring area measurement result, a first prediction accuracy of the neighboring area measurement result, a first prediction delay of the neighboring area measurement result, a first reporting delay of the neighboring area measurement result, or a processing method for the terminal to be unable to predict the first neighboring area measurement result, where the first neighboring area measurement result is a neighboring area measurement result reported by the terminal as instructed by the network device.

17. The method according to any one of claims 14 to 16, characterized in that The terminal's ability to predict neighboring cell measurement results includes at least one of the following information: a prediction method supported by the terminal, a relationship between the supported prediction method and the communication frequency band, or performance-related parameters of the supported prediction method, the supported prediction method includes predicting the neighboring cell measurement results based on historical measurement results of the cell where the terminal is located, and the performance-related parameters of the supported prediction method include at least one of the following information: sample input range, prediction result range, prediction accuracy, prediction error, the number of cells supporting prediction, the identification range of cells supporting prediction, or the number of beams supporting prediction in each cell.

18. The method according to any one of claims 14 to 17, characterized in that The neighboring cell measurement result includes the neighboring cell measurement result within a first preset time period, and a starting moment of the first preset time period is a moment when the terminal predicts the neighboring cell measurement result.

19. The method according to claim 16, wherein The method further comprises: Send third information, where the third information indicates a first prediction result of the neighboring area measurement, where the first prediction result is not obtained based on the first prediction method, or the first prediction result does not conform to the first prediction time window length, or the first prediction result does not conform to the first prediction accuracy, or the first prediction result does not conform to the first prediction delay, or the delay for the terminal to report the first prediction result does not conform to the first reporting delay.

20. The method according to claim 19, wherein The method further comprises: receiving fourth information, where the fourth information instructs the terminal to predict the neighboring cell measurement result.

21. The method according to claim 20, characterized in that Before receiving the fourth information, the method further includes: Send fifth information, where the fifth information includes at least one of the following information recommended by the terminal: a second prediction method for predicting the neighboring area measurement result, a second prediction time window length of the neighboring area measurement result, a second prediction accuracy of the neighboring area measurement result, a second prediction delay of the neighboring area measurement result, or a second reporting delay for the terminal to report the neighboring area measurement result.

22. The method according to any one of claims 14 to 21, characterized in that Before sending the first information, the method further includes: Sixth information is received, where the sixth information is used to request the first information.

23. The method according to any one of claims 14 to 22, characterized in that Before receiving the second information, the method further includes: Send seventh information, where the seventh information is used to request the second information.

24. The method according to any one of claims 14 to 23, characterized in that When the neighboring cell measurement result is used for conditional handover (CHO), the first capability further includes whether the terminal supports performing CHO based on the predicted CHO candidate cell measurement result.

25. The method according to claim 24, characterized in that The method further comprises: receiving eighth information, the eighth information including at least one of the following information: instruction information for selecting a target cell based on the CHO candidate cell measurement result, a first judgment criterion for selecting a target cell based on the CHO candidate cell measurement result, a correction method for the CHO candidate cell measurement result, an instruction for the terminal to report CHO process information, or a reporting method for the CHO process information, the CHO process information including at least one of the following information: the CHO candidate cell measurement result, a prediction method used when predicting the CHO candidate cell measurement result, a correction method used when correcting the CHO candidate cell measurement result, a duration of CHO execution by the terminal, a service interruption duration of the terminal, or a reason for selecting the target cell; When there are multiple CHO candidate cells, when the terminal predicts the measurement result of each CHO candidate cell among the CHO candidate cells, at least two of the CHO candidate cells have at least one different item of the following information: prediction method, prediction time window length of the measurement result, prediction accuracy of the measurement result, prediction delay of the measurement result, reporting delay of the measurement result, or correction method of the measurement result.

26. The method according to claim 25, characterized in that The first judgment criterion includes at least one of the following: the prediction accuracy of the target cell is greater than or equal to a first accuracy threshold, the predicted reference signal received power of the target cell is greater than or equal to a first power threshold within a second preset time length, or the prediction method used when predicting the measurement result of the target cell conforms to the first preset prediction method.

27. A communication device, characterized in that: The method comprises various functional modules for implementing the method according to any one of claims 1 to 13 or any one of claims 14 to 26.

28. A communication device, characterized in that: include: A processor, the processor being coupled to a memory, the memory being used to store a computer program, wherein when the processor calls the computer program, the device is caused to execute the method according to any one of claims 1 to 13 or any one of claims 14 to 26.

29. A computer program product, characterized in that The method comprises a computer program code which, when executed on a computer, causes the computer to implement the method according to any one of claims 1 to 13 or any one of claims 14 to 26.

30. A computer-readable medium, characterized in that The computer-readable medium stores a program code for computer execution, the program code including instructions for executing the method according to any one of claims 1 to 13 or any one of claims 14 to 26.

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