Communication method, apparatus and device

Abstract

The embodiments of the present application provide a communication method, an apparatus and a device, and relate to the technical field of terminals, communications, etc. The method comprises: acquiring prediction configuration information; and, on the basis of the prediction configuration information, performing prediction on a target event to obtain a cell prediction result corresponding to the target event. The communication method, the apparatus and the device provided by the embodiments of the present application are used for terminal devices to perform prediction on measurement events, so as to effectively reduce measurements by the terminal devices and improving the handover performance, thus improving user experience in high-frequency and high-speed mobility scenarios.

Description

Communication method, device and equipment

[0001] This application claims priority to the Chinese patent application filed with the China Patent Office on April 3, 2024, with application number 202410409147.X and application name “Communication Methods, Devices and Equipment”, the entire contents of which are incorporated by reference into this application. Technical Field

[0002] The present application relates to technical fields such as terminals and communications, and in particular to communication methods, devices and equipment. Background Art

[0003] The terminal device can perform cell measurements and send the measurement information to the network device, which then decides whether to perform a cell handover. In scenarios where the terminal device is moving at high frequencies and speeds, untimely or inaccurate cell measurements can lead to poor cell handover performance (e.g., premature handover, late handover, or ping-pong handover).

[0004] In R19 AI mobility, it involves reducing measurements on the terminal device side and the network side based on measurement information, measurement events, and predictions of mobility failure events to improve the switching performance of terminal devices, thereby improving the user experience of terminal devices in high-frequency and high-speed scenarios.

[0005] Currently, how to enable terminal devices to predict measurement events to effectively reduce terminal device measurements and improve switching performance, thereby improving user experience in high-frequency and high-speed mobile scenarios has become a technical problem that needs to be solved urgently. Summary of the Invention

[0006] The present invention provides a communication method, apparatus, and device, which are applied to the technical fields of terminals, communications, etc., and are used to predict measurement events of terminal devices, thereby effectively reducing the number of measurements of terminal devices and improving handover performance, thereby enhancing the user experience in high-frequency and high-speed mobile scenarios.

[0007] In a first aspect, an embodiment of the present application provides a communication method, applied to a terminal device, comprising:

[0008] Get prediction configuration information;

[0009] According to the prediction configuration information, the target event is predicted to obtain the cell prediction result corresponding to the target event.

[0010] In the communication method provided in the first aspect, the terminal device obtains prediction configuration information and predicts the target event based on the prediction configuration information to obtain the cell prediction result corresponding to the target event, thereby realizing the terminal device's prediction of the target event, and further effectively reducing the terminal device's measurement and improving the switching performance, thereby improving the user experience in high-frequency and high-speed mobile scenarios.

[0011] In a possible implementation, predicting a target event based on the prediction configuration information and obtaining a cell prediction result corresponding to the target event includes:

[0012] Obtaining measurement configuration information, where the measurement configuration information is used by the terminal device to perform mobility measurements corresponding to the target event;

[0013] Perform mobility measurement corresponding to the target event according to the measurement configuration information to obtain the cell measurement result;

[0014] The target event is predicted according to at least one of the prediction configuration information, the target event, and the cell measurement result, so as to obtain a cell prediction result corresponding to the target event.

[0015] In one possible implementation, predicting the target event based on at least one of the prediction configuration information, the target event, and the cell measurement result to obtain a cell prediction result corresponding to the target event includes:

[0016] At least one of the prediction configuration information, the target event, and the cell measurement result is input into the prediction model, so that the prediction model outputs the cell prediction result.

[0017] In one possible implementation, predicting the target event based on at least one of the prediction configuration information, the target event, and the cell measurement result to obtain a cell prediction result corresponding to the target event includes:

[0018] inputting at least one of the prediction configuration information, the target event, and the cell measurement result into a prediction model, so that the prediction model outputs a first prediction result;

[0019] According to the first credibility threshold, the cell prediction result is determined in the first prediction result.

[0020] In this embodiment, the cell prediction result is obtained by using the prediction model, and the cell prediction result can be obtained quickly, thereby improving the timeliness of obtaining the cell prediction result.

[0021] In one possible implementation, the prediction configuration information includes one or more of the following:

[0022] Prediction duration;

[0023] First credibility threshold;

[0024] Predict inter-frequency neighboring cell information;

[0025] Predict the number of neighboring areas;

[0026] Predict co-frequency neighboring cell information;

[0027] Predicting measurement event parameters, where the predicted measurement event parameters include one or more of hysteresis, threshold, and delay;

[0028] Among them, the predicted inter-frequency neighboring cell information, the predicted number of neighboring cells, and the predicted same-frequency neighboring cell information are all used to indicate the cell corresponding to the target event.

[0029] In a possible implementation, the cell corresponding to the target event includes a serving cell and / or a neighboring cell; and predicting the target event includes:

[0030] The prediction model predicts target events corresponding to the serving cell and / or neighboring cells within the prediction duration.

[0031] In a possible implementation, the cell corresponding to the target event is an inter-frequency neighboring cell; predicting the target event includes:

[0032] The prediction model predicts a target event corresponding to an inter-frequency neighboring cell, wherein the inter-frequency neighboring cell is indicated by predicting inter-frequency neighboring cell information, and the inter-frequency neighboring cell includes an inter-frequency neighboring cell of a serving cell and / or an inter-frequency neighboring cell of a neighboring cell.

[0033] In a possible implementation, the cell corresponding to the target event is a co-frequency neighboring cell; predicting the target event includes:

[0034] The prediction model predicts target events corresponding to the same-frequency surrounding neighboring cells, wherein the same-frequency surrounding neighboring cells are indicated by predicted same-frequency neighboring cell information.

[0035] In a possible implementation, the cell corresponding to the target event is a neighboring cell with the same coverage but different frequencies; predicting the target event includes:

[0036] The prediction model predicts the target events corresponding to the same-coverage hetero-frequency neighboring areas within the prediction period, wherein the same-coverage hetero-frequency neighboring areas are indicated by the predicted hetero-frequency neighboring area information, and the same-coverage hetero-frequency neighboring areas include the same-coverage hetero-frequency neighboring areas of the serving cell and / or the same-coverage hetero-frequency neighboring areas of the adjacent cells.

[0037] In a possible implementation, the cell corresponding to the target event is a co-frequency neighboring cell; predicting the target event includes:

[0038] The prediction model predicts the target event corresponding to the same-frequency neighboring area within the prediction period, where the same-frequency neighboring area is indicated by predicting the same-frequency neighboring area information, and the same-frequency neighboring area includes the same-frequency neighboring area of ​​the serving cell and / or the same-frequency neighboring area of ​​the adjacent cell.

[0039] In a possible implementation, the cell corresponding to the target event is an inter-frequency neighboring cell; predicting the target event includes:

[0040] The prediction model predicts the target event corresponding to the inter-frequency neighboring area, wherein the inter-frequency neighboring area includes the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the serving cell and / or the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the adjacent cell. The co-frequency neighboring area of ​​the serving cell and the co-frequency neighboring area of ​​the adjacent cell are indicated by predicting the co-frequency neighboring area information, and the inter-frequency neighboring area corresponding to the co-frequency neighboring area is indicated by predicting the inter-frequency neighboring area information.

[0041] In a possible implementation, the cell corresponding to the target event is an inter-frequency neighboring cell; predicting the target event includes:

[0042] The prediction model predicts the target event corresponding to the heterogeneous frequency neighboring area within the prediction period;

[0043] Among them, the heterofrequency neighboring areas include the heterofrequency neighboring areas corresponding to the co-frequency neighboring areas of the serving cell and / or the heterofrequency neighboring areas corresponding to the co-frequency neighboring areas of the adjacent cells. The co-frequency neighboring areas of the serving cell and the co-frequency neighboring areas of the adjacent cells are indicated by predicted co-frequency neighboring area information, the heterofrequency neighboring areas corresponding to the co-frequency neighboring areas are indicated by predicted heterofrequency neighboring area information, and at least one predicted moment is indicated by predicted configuration information.

[0044] In one possible implementation, the method further includes:

[0045] Send the cell prediction result to the network device.

[0046] In a possible implementation, the target event is event A1, event A2, event A3, event A4, or event A5.

[0047] In a possible implementation, the cell prediction result includes at least one event and / or at least one credibility corresponding to the at least one event;

[0048] The at least one event includes one or more of the following: event A1, event A2, event A3, event A4, and event A5.

[0049] In a second aspect, an embodiment of the present application provides a communication method, applied to a terminal device, the method comprising:

[0050] Receive performance monitoring information sent by network devices;

[0051] The performance monitoring result is sent to the network device based on the performance monitoring information and the cell prediction result, where the cell prediction result is obtained by the method of the first aspect and any possible implementation method described above.

[0052] In the communication method provided in the second aspect, the terminal device can send performance monitoring results to the network device based on the performance monitoring information and cell prediction results, so that the network device can promptly know whether the cell prediction results are abnormal, and assist the network device to promptly and accurately control the cell switching of the terminal device.

[0053] In a possible implementation, the performance monitoring result includes a first performance monitoring result and / or a second performance monitoring result, the first performance monitoring result indicates that the cell prediction result is normal, and the second performance monitoring result indicates that the cell prediction result is abnormal.

[0054] In a possible implementation, the performance monitoring information is used to indicate monitoring configuration information and reporting condition information;

[0055] The monitoring configuration information is used to instruct the terminal device to perform mobility measurement to obtain a first event;

[0056] The reporting condition information is used to indicate the conditions satisfied by the first event and the second event in the cell prediction result when the terminal device sends the performance monitoring result, wherein the time when the first event is satisfied is the same as the time when the second event is satisfied.

[0057] In one possible implementation, sending the performance monitoring result to the network device according to the performance monitoring information and the cell prediction result includes:

[0058] Performing mobility measurement based on the performance monitoring information to obtain a first event;

[0059] Make a comparative judgment on the first incident and the second incident;

[0060] When the reporting condition information indicates that the first event and the second event are reported identically, the first performance monitoring result is sent to the network device; and / or when the reporting condition information indicates that the first event and the second event are reported differently, the second performance monitoring result is sent to the network device.

[0061] In a possible implementation manner, the first event and the second event are event A1, event A2, event A3, event A4, or event A5.

[0062] In a possible implementation manner, the performance monitoring information is used to indicate reporting condition information, and the performance monitoring information is further used to indicate one or more of the following: a second credibility threshold, a first time period, and a first quantity;

[0063] The reporting condition information indicates the conditions under which the terminal device sends the performance monitoring results.

[0064] In one possible implementation, the cell prediction result includes at least one credibility corresponding to at least one event; and sending the performance monitoring result to the network device according to the performance monitoring information includes one or more of the following:

[0065] When the reporting condition information indicates that at least one credibility is lower than the second credibility threshold reporting, sending the second performance monitoring result to the network device;

[0066] When the reporting condition information indicates that at least one credibility is higher than the second credibility threshold reporting, sending the first performance monitoring result to the network device;

[0067] When the reporting condition information indicates that the credibility within the first time period is lower than the second credibility threshold reporting, sending a second performance monitoring result to the network device, wherein the at least one credibility includes the credibility within the first time period;

[0068] When the reporting condition information indicates that a first number of consecutive credibility levels are lower than a second credibility threshold, a second performance monitoring result is sent to the network device, wherein at least one credibility level includes the first number of credibility levels.

[0069] In a possible implementation, the at least one event includes one or more of the following: event A1, event A2, event A3, event A4, or event A5.

[0070] In one possible implementation, the method further includes:

[0071] Sending ratio information to the network device; wherein the ratio information indicates the ratio of M to N, M represents the number of credibility levels in at least one credibility level that is higher than the second credibility threshold, or the number of credibility levels in at least one credibility level that is lower than the second credibility threshold, and N represents the number of at least one credibility level.

[0072] In a third aspect, an embodiment of the present application provides a communication method, applied to a network device, the method comprising:

[0073] Send prediction configuration information to the terminal device, where the prediction configuration information is used to instruct the terminal device to predict the target event.

[0074] In one possible implementation, the method further includes:

[0075] Send measurement configuration information to the terminal device, where the measurement configuration information is used by the terminal device to perform mobility measurement corresponding to the target event.

[0076] In one possible implementation, the prediction configuration information includes one or more of the following:

[0077] Prediction duration;

[0078] First credibility threshold;

[0079] Predict inter-frequency neighboring cell information;

[0080] Predict the number of neighboring areas;

[0081] Predict co-frequency neighboring cell information;

[0082] Predicting measurement event parameters, where the predicted measurement event parameters include one or more of hysteresis, threshold, and delay;

[0083] Among them, the predicted inter-frequency neighboring cell information, the predicted number of neighboring cells, and the predicted same-frequency neighboring cell information are all used to indicate the cell corresponding to the target event.

[0084] In a possible implementation, the target event is event A1, event A2, event A3, event A4, or event A5.

[0085] In one possible implementation, the method further includes:

[0086] Receive the cell prediction result corresponding to the target event sent by the terminal device.

[0087] In a possible implementation, the cell prediction result includes at least one event and / or at least one credibility corresponding to the at least one event;

[0088] The at least one event includes one or more of the following: event A1, event A2, event A3, event A4, and event A5.

[0089] It should be understood that the third aspect of this application corresponds to the technical solution of the first aspect of this application, and the beneficial effects achieved by each aspect and the corresponding feasible implementation methods are similar and will not be repeated here.

[0090] In a fourth aspect, an embodiment of the present application provides a communication method, applied to a network device, the method comprising:

[0091] Send performance monitoring information to terminal devices;

[0092] The performance monitoring result sent by the receiving terminal device is based on the performance monitoring information and the cell prediction result, where the cell prediction result is obtained by the method of the first aspect and any possible implementation method described above.

[0093] In a possible implementation, the performance monitoring result includes a first performance monitoring result and / or a second performance monitoring result, the first performance monitoring result indicates that the cell prediction result is normal, and the second performance monitoring result indicates that the cell prediction result is abnormal.

[0094] In a possible implementation, the performance monitoring information is used to indicate monitoring configuration information and reporting condition information;

[0095] The monitoring configuration information is used to instruct the terminal device to perform mobility measurement to obtain a first event;

[0096] The reporting condition information is used to indicate the conditions satisfied by the first event and the second event in the cell prediction result when the terminal device sends the performance monitoring result, wherein the time when the first event is satisfied is the same as the time when the second event is satisfied.

[0097] In a possible implementation manner, the reporting condition information is used to indicate one or more of the following:

[0098] The first and second incidents are reported as the same;

[0099] The first event and the second event are reported differently.

[0100] In a possible implementation, the performance monitoring information is used to indicate reporting condition information, where the reporting condition information indicates a condition for the terminal device to send the performance monitoring result;

[0101] The performance monitoring information is further used to indicate one or more of the following: a second credibility threshold, a first time period, and a first quantity.

[0102] In a possible implementation manner, the reporting condition information is used to indicate one or more of the following:

[0103] At least one credibility is reported below a second credibility threshold, wherein the at least one credibility is included in the cell prediction result;

[0104] At least one credibility is higher than the second credibility threshold for reporting;

[0105] The credibility within the first time period is lower than the second credibility threshold and reported, wherein the at least one credibility includes the credibility within the first time period;

[0106] A first number of consecutive credibility levels are reported to be lower than a second credibility threshold, wherein the at least one credibility level includes the first number of credibility levels.

[0107] In one possible implementation, the method further includes:

[0108] Receive ratio information sent by the terminal device, where the ratio information indicates a ratio of M to N, where M represents the number of credibility levels in at least one credibility level that is higher than a second credibility threshold, or the number of credibility levels in at least one credibility level that is lower than the second credibility threshold, and N represents the number of at least one credibility level.

[0109] It should be understood that the fourth aspect of this application corresponds to the technical solution of the second aspect of this application, and the beneficial effects achieved by each aspect and the corresponding feasible implementation methods are similar and will not be repeated here.

[0110] In a fifth aspect, an embodiment of the present application provides a terminal device, including: a processor and a memory;

[0111] The memory is used to store code instructions;

[0112] The processor is used to run code instructions to execute the methods described in the first aspect and the second aspect and any possible implementation manner corresponding to each of them.

[0113] It should be understood that the fifth aspect of the present application corresponds to the technical solutions of the first and second aspects of the present application, and the beneficial effects achieved by each aspect and the corresponding feasible implementation methods are similar and will not be repeated here.

[0114] In a sixth aspect, an embodiment of the present application provides a network device, including: a processor and a memory;

[0115] The memory is used to store code instructions;

[0116] The processor is used to run code instructions to execute the methods described in the third aspect and the fourth aspect and any possible implementation manner corresponding thereto.

[0117] It should be understood that the sixth aspect of the present application corresponds to the technical solutions of the third and fourth aspects of the present application, and the beneficial effects achieved by each aspect and the corresponding feasible implementation methods are similar and will not be repeated here.

[0118] In the seventh aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program or instructions. When the computer program or instructions are run on a computer, the computer executes the method described in the first aspect or any possible implementation of the first aspect.

[0119] It should be understood that the seventh aspect of the present application corresponds to the technical solutions of the first to fourth aspects of the present application, and the beneficial effects achieved by each aspect and the corresponding feasible implementation methods are similar and will not be repeated here.

[0120] In an eighth aspect, an embodiment of the present application provides a computer program product, including: a computer program;

[0121] When the computer program runs on a computer, the computer is caused to execute the method described in the first to fourth aspects and any corresponding possible implementation manner.

[0122] It should be understood that the eighth aspect of the present application corresponds to the technical solutions of the first to fourth aspects of the present application, and the beneficial effects achieved by each aspect and the corresponding feasible implementation methods are similar and will not be repeated here.

[0123] In a ninth aspect, the present application provides a chip or a chip system, the chip or chip system comprising: at least one processor and a communication interface;

[0124] The communication interface and at least one processor are interconnected via a line;

[0125] At least one processor is used to run computer programs or instructions to execute the methods described in the first to fourth aspects and any possible implementation manner corresponding thereto.

[0126] The communication interface in the chip may be an input / output interface, a pin or a circuit, etc.

[0127] In one possible implementation, the chip or chip system described above in this application further includes at least one memory, in which instructions are stored. The memory may be a storage unit within the chip, such as a register, a cache, etc., or a storage unit of the chip (e.g., a read-only memory, a random access memory, etc.).

[0128] It should be understood that the ninth aspect of the present application corresponds to the technical solutions of the first to fourth aspects of the present application, and the beneficial effects achieved by each aspect and the corresponding feasible implementation methods are similar and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0129] FIG1 is a schematic diagram of a communication scenario provided in an embodiment of the present application;

[0130] FIG2 is a functional logic diagram of a prediction model provided in an embodiment of the present application;

[0131] FIG3 illustrates the signaling interaction process of the prediction model provided in an embodiment of the present application;

[0132] FIG4 is a flow chart of a communication method according to an embodiment of the present application;

[0133] FIG5 is a second flow chart of a communication method provided in an embodiment of the present application;

[0134] FIG6 is a schematic diagram of a cell according to an embodiment of the present application;

[0135] FIG7 is a prediction time diagram provided by an embodiment of the present application;

[0136] FIG8 is another prediction time diagram provided by an embodiment of the present application;

[0137] FIG9 is a flow chart of another communication method provided in an embodiment of the present application;

[0138] FIG10 is a schematic structural diagram of a communication device provided in an embodiment of the present application;

[0139] FIG11 is a schematic structural diagram of another communication device provided in an embodiment of the present application;

[0140] FIG12 is a schematic diagram of the structure of a terminal device provided in an embodiment of the present application;

[0141] FIG13 is a schematic diagram of the structure of the network device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0142] To facilitate a clear description of the technical solutions of the embodiments of the present application, some of the terms and technologies involved in the embodiments of the present application are briefly introduced below:

[0143] A cell, also known as a cellular cell, refers to an area covered by a base station or a part of a base station (sector antenna) in a cellular mobile communication system, in which terminal devices can communicate reliably with the base station through wireless channels.

[0144] A service cell refers to a cell that provides communication services to terminal devices.

[0145] Adjacent cells, also known as neighboring areas, are adjacent cells.

[0146] Inter-frequency neighboring cells refer to adjacent cells with different frequencies.

[0147] Frequency refers to a specific absolute frequency value, generally the center frequency of the modulating signal. Frequency is a number given to a fixed frequency.

[0148] Co-frequency neighboring cells refer to adjacent cells with the same frequency.

[0149] Same coverage means the coverage scope is the same.

[0150] The target event (also known as the measurement time) is a set of measurement and reporting mechanisms to avoid base station overload caused by ping-pong switching of terminal equipment. In the present application, the target event can be event A1, event A2, event A3, event A4 or event A5, etc. The triggering condition of event A1 is: the measurement information of the serving cell is better than the absolute threshold (Serving becomes better than absolute threshold). The triggering condition of event A2 is: the measurement information of the serving cell is worse than the absolute threshold (Serving becomes worse than absolute threshold). The triggering condition of event A3 is: the measurement information of the neighboring cell is better than the measurement information of the serving cell (Neighbour becomes amount of offset better than PCell / PSCell) by a certain offset. The triggering condition of event A4 is: the measurement information of the neighboring cell is better than the absolute threshold (Neighbour becomes better than absolute threshold). The triggering condition for event A5 is: the measurement information of the serving cell is worse than absolute threshold 1, and the measurement information of the neighboring cell is better than absolute threshold 2 (PCell / PSCell becomes worse than absolute threshold 1 AND Neighbour / SCell becomes better than another absolute threshold 2). The absolute thresholds involved in the triggering conditions of different events can be the same or different.

[0151] The measurement information (or predicted information) satisfies the target event, which may refer to the measurement information (or predicted information) satisfying the triggering condition of the target event. Exemplarily, for event A1, it may refer to the measurement information (or predicted information) of the cell being better than the absolute threshold. Exemplarily, for event A2, it may refer to the measurement information (or predicted information) of the serving cell being worse than the absolute threshold. Exemplarily, for event A3, it may refer to the measurement information (or predicted information) of the adjacent cell being better than a certain offset of the measurement information (or predicted information) of the serving cell. For event A4, the measurement information (or predicted information) of the adjacent cell is better than the absolute threshold. For event A5, it may refer to the measurement information (or predicted information) of the serving cell being worse than absolute threshold 1, and the measurement information (or predicted information) of the adjacent cell being better than absolute threshold 2. It should be noted that, in the triggering conditions of different events, the absolute thresholds involved may be the same or different.

[0152] Terminal equipment can be a device that includes wireless transceiver functions and can cooperate with network equipment to provide communication services to users. Specifically, terminal equipment can refer to user equipment (UE), access terminal equipment, user unit, user station, mobile station, mobile station, remote station, remote terminal equipment, mobile device, user terminal equipment, terminal equipment, wireless communication equipment, user agent or user device. Exemplary, terminal equipment can be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with wireless communication function, a computing device or other processing device connected to a wireless modem, an in-vehicle device, a wearable device, a terminal device in a future 5G network or a network after 5G, etc.

[0153] A network device is a device used to communicate with a terminal device. For example, it can be a base station (Base Transceiver Station, BTS) in a Global System for Mobile Communication (GSM) or Code Division Multiple Access (CDMA) communication system, or a base station (NodeB, NB) in a Wideband Code Division Multiple Access (WCDMA) system, or an evolved base station (Evolutional Node B, eNB or eNodeB) in an LTE system, or the network device can be a relay station, an access point, a vehicle-mounted device, a wearable device, and a network-side device in a future 5G network or a network after 5G, or a network device in a future evolved public land mobile network (PLMN) network, etc.

[0154] Other terms

[0155] In the embodiments of this application, terms such as "first" and "second" are used to distinguish between identical or similar items with substantially the same functions and effects. For example, the first chip and the second chip are merely used to distinguish between different chips and do not limit their order. Those skilled in the art will understand that terms such as "first" and "second" do not limit the quantity or execution order, and that terms such as "first" and "second" do not necessarily define differences.

[0156] It should be noted that in the embodiments of this application, words such as "exemplary" or "exemplary" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described in this application as "exemplary" or "exemplary" should not be interpreted as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "exemplary" is intended to present the relevant concepts in a concrete manner.

[0157] In the embodiments of the present application, "at least one" refers to one or more, and "more" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: the existence of A alone, the existence of A and B at the same time, and the existence of B alone, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b, or c can represent: a, b, c, ab, a--c, bc, or abc, where a, b, c can be single or multiple.

[0158] Figure 1 is a schematic diagram of a communication scenario provided by an embodiment of the present application. As shown in Figure 1, the communication system includes: a network device 101 and a terminal device 102. Network device 101 and terminal device 102 can communicate wirelessly, wherein terminal device 102 can communicate with at least one core network via a radio access network (RAN).

[0159] Among them, the communication system can be a Global System of Mobile communication (GSM) system, a Code Division Multiple Access (CDMA) system, a Wideband Code Division Multiple Access (WCDMA) system, a Long Term Evolution (LTE) system or a fifth-generation mobile communication (5th-Generation, 5G) system.

[0160] Correspondingly, the base station can be a base station (Base Transceiver Station, BTS) in a GSM system or a CDMA system, a base station (NodeB, NB) in a WCDMA system, an evolved NodeB (eNB), an access point (AP) or a relay station in an LTE system, or a base station in a 5G system, etc., without limitation here.

[0161] The 5G mobile communication system of the present application includes a non-standalone (NSA) 5G mobile communication system and / or a standalone (SA) 5G mobile communication system. The technical solution provided in the present application can also be applied to future communication systems, such as the sixth generation mobile communication system. The communication system can also be a PLMN network, a device-to-device (D2D) network, a machine-to-machine (M2M) network, an IoT network, or other networks.

[0162] It is understandable that if the technical solutions of the embodiments of the present application are applied to other wireless communication networks, the corresponding names can also be replaced by the names of corresponding functions in other wireless communication networks.

[0163] In the above-mentioned communication system, the terminal device can perform mobility measurement according to the measurement configuration information. The mobility measurement is used to maintain the continuity of communication when moving from one cell to another. After the terminal device performs the mobility measurement and obtains the cell measurement result, the terminal device usually needs to send the cell measurement result to the network device. In one implementation, the measurement configuration sent by the network device to the terminal device may also include a report configuration (Report Config NR). The report configuration may indicate that the terminal device periodically reports the cell measurement result, or reports the measurement result based on an event trigger. Exemplarily, the report configuration may further include a periodic configuration (periodic config) and an event trigger configuration (Event trigger config).

[0164] Regarding the implementation of periodic reporting, if the reporting period configured by the network device is too long, the terminal device's cell measurement results cannot be obtained in a timely manner, which also leads to poor handover performance. If the reporting period configured by the network device is too short, the terminal device will need to report cell measurement results frequently, resulting in higher energy consumption of the terminal device.

[0165] Regarding the implementation method of event-triggered reporting, the network device can configure the terminal device to compare the cell measurement results with the absolute threshold. The terminal device compares the cell measurement results with the absolute threshold and reports the cell measurement results to the network device. However, in high-frequency and high-speed mobile scenarios, because the quality of the air interface changes very quickly, it may happen that the terminal device has just sent the cell measurement results to the network device, and the quality of the air interface changes immediately, resulting in a mismatch between the cell measurement results reported by the terminal device and the quality of the changed air interface. Therefore, this scenario will make it difficult to reasonably configure the absolute threshold. If the absolute threshold is set unreasonably, it will lead to poor switching performance of the terminal device. For example, problems such as switching too early, switching too late, or pingpong switching may occur.

[0166] Furthermore, for the implementation of periodic reporting, if the reporting period configured for the network device is too long, the terminal device's measurement results cannot be obtained in a timely manner, which also leads to poor switching performance. If the reporting period configured for the network device is too short, the terminal device will need to report measurement results frequently, resulting in higher energy consumption of the terminal device.

[0167] To solve the above problems, it is possible to consider using an AI (Artificial Intelligence) algorithm (which can be called an AI model or prediction model, etc.) to predict whether the target event occurs and obtain a cell prediction result. The network device can then use the cell prediction result to make decisions on the terminal, such as performing cell switching.

[0168] The relevant logic of the prediction model is explained here in conjunction with Figures 2 and 3.

[0169] Figure 2 is a functional logic diagram of the prediction model provided by an embodiment of the present application. The processing of the prediction model may include model training, model management, model reasoning, and model storage.

[0170] Based on Figure 2, the following describes the processing of model training, model management, model inference, and model storage:

[0171] For model training, training data can be collected to train the prediction model. The purpose of model training is to enable the prediction model to predict measurement events. Therefore, the training data can be cell measurement results obtained by performing mobility measurements. After model training is completed, the trained or updated model can be stored.

[0172] Regarding model management, it can perform management operations on the prediction model based on the collected monitoring data and the output data of the model inference. Examples of management operations include the following:

[0173] 1. Instructing the deployment of the trained prediction model to the device that needs to predict measurement events through a model transfer / delivery request. The device on which the prediction model is deployed can be, for example, a network device or a terminal device, although this embodiment of the application does not limit this.

[0174] 2. Performance feedback / retraining request, which indicates that the labels of the prediction model should be fed back into the training process of the prediction model, or that the prediction model should be retrained.

[0175] 3. Determine the performance of the prediction model based on the collected monitoring data. The monitoring data may, for example, reflect the performance of the prediction model, such as the accuracy of the predicted measurement events output by the prediction model. Then, based on the performance of the prediction model, determine whether to perform the following operations: selection, activation, deactivation, switching, or fallback.

[0176] Model inference, the process of using a prediction model, involves collecting inference data, which can be, for example, measurement results for certain measurement objects. This inference data is then fed into the prediction model, causing the prediction model to output predicted measurement results for the remaining measurement objects.

[0177] Predictive model training typically requires a significant amount of continuous computing power, so it is typically deployed on network devices or servers. The model management and storage described above are also typically deployed on network devices or servers.

[0178] The model reasoning of the prediction model, that is, the use of the prediction model, can be deployed in a network device or a terminal device according to actual needs, and this embodiment does not impose any restrictions on this.

[0179] The following takes the deployment of the prediction model inference in the terminal device as an example, and describes the interaction process of the prediction model between the network device and the terminal device in conjunction with FIG3 .

[0180] FIG3 illustrates the signaling interaction process of the prediction model provided by an embodiment of the present application. As shown in FIG3 , it includes:

[0181] 1. The network device decides to start the prediction model training.

[0182] It should be noted that the prediction model can also be called an AI model.

[0183] 2. The network device sends the configuration for collecting auxiliary information to the terminal device.

[0184] 3. The terminal device sends auxiliary information to the network device.

[0185] The network device may illustratively determine whether to initiate training of the prediction model based on the usage requirements of the prediction model. When it is determined that initiation is necessary, the network device may configure the terminal device to collect auxiliary information, so that the terminal device collects the auxiliary information. The auxiliary information may illustratively include data related to model training.

[0186] The terminal device then collects auxiliary information according to the configuration of the network device and sends the collected auxiliary information to the network device.

[0187] 4. Network devices and terminal devices transmit models.

[0188] Among them, after the model training is completed, the network device can exemplarily send the trained prediction model to the terminal device, and the terminal device can also send the relevant information required for the deployment of the prediction model to the network device.

[0189] 5. The terminal device sends UE capability information to the network device.

[0190] 6. The network device determines whether the terminal device is applicable to the prediction model based on the UE capability information.

[0191] 7. It is understandable that there may be multiple prediction models. The judgment here can be understood as being performed for a specific prediction model, that is, determining whether the terminal device is applicable to a specific prediction model.

[0192] When it is determined that the terminal device is applicable, the network device then sends the configuration information of the prediction model (i.e., AI configuration) to the terminal device, where the configuration information of the prediction model may exemplarily include performance monitoring configuration (performance monitoring config).

[0193] 8. The network equipment determines whether to start the prediction model.

[0194] 9. The network device sends a prediction model activation instruction to the terminal device.

[0195] The above describes the transmission and configuration of the prediction model. However, in reality, the prediction model has not yet been activated. The network device can further determine whether to start the prediction model based on current actual needs.

[0196] When it is determined that the prediction model needs to be started, the network device sends a prediction model activation instruction to the terminal device to activate the prediction model deployed in the terminal device.

[0197] 10. The terminal device performs model inference.

[0198] After the prediction model in the terminal device is activated, the terminal device can perform the model inference process, that is, predict the measurement results of certain measurement objects based on the prediction model.

[0199] 11. The terminal device executes the performance evaluation decision of the prediction model.

[0200] 12. The terminal device sends the performance monitoring results of the prediction model to the network device.

[0201] At the same time, the terminal device can also determine the performance monitoring result of the prediction model based on the output of the prediction model, where the performance monitoring result can also be understood as the monitoring data introduced above.

[0202] The terminal device may further determine whether it is necessary to report the detection result of the performance evaluation to the network device. When it is determined that reporting is necessary, the terminal device may send the performance monitoring result of the prediction model to the network device.

[0203] 13. Network equipment manages prediction models based on performance monitoring results.

[0204] 14. The network device sends management instructions of the prediction model to the terminal device.

[0205] Afterwards, the network device may determine whether a management operation needs to be performed on the prediction model based on the performance monitoring result, wherein the management operation may exemplarily be updating, rolling back, activating or deactivating the prediction model.

[0206] When it is determined that a management operation needs to be performed, the network device sends a management instruction to the terminal device to instruct the specific processing of the management operation introduced above to be performed on the prediction model deployed in the terminal device.

[0207] Based on the above introduction, it is also necessary to explain that the prediction model can be used to predict measurement events that require cooperation between terminal devices and network devices, as well as mobility failure events, to improve the algorithm performance of air interface transmission in complex scenarios. The complex scenario here can be exemplified by a multi-antenna scenario (massive MIMO).

[0208] The technical solution of the present application mainly involves the prediction of measurement events, so as to effectively reduce the measurement of terminal equipment and improve the switching performance, thereby improving the user experience in high-frequency and high-speed mobile scenarios.

[0209] After introducing a prediction model to predict measurement events, we need to consider how the prediction model can achieve the prediction of measurement events, how to configure the input and output of the prediction model, and how to report the predicted cell prediction results. There are currently no effective solutions to these problems.

[0210] In view of this, the present application proposes a communication method to solve how to obtain cell prediction results through a prediction model, as well as the prediction configuration of the prediction model, so that the prediction model can effectively predict the measurement results, thereby achieving the various technical effects introduced above.

[0211] FIG4 is a flow chart of a communication method provided in an embodiment of the present application. As shown in FIG4 , the method includes:

[0212] S401: The network device sends predicted configuration information to the terminal device.

[0213] The prediction configuration information instructs the terminal device to perform event prediction.

[0214] S402: The terminal device predicts a target event according to the prediction configuration information to obtain a cell prediction result corresponding to the target event.

[0215] Optionally, the target event may be event A1, event A2, event A3, event A4 or event A5.

[0216] The cell prediction results can be used by network equipment to decide whether the terminal device should perform cell switching.

[0217] The cell prediction results may be in the following situations.

[0218] In case 1, the cell prediction result includes a target event, or includes the credibility corresponding to the target event, or includes both the target event and the credibility corresponding to the target event. The number of target events can be one or more, and the number of credibility corresponding to the target events can be one or more. Exemplarily, when the cell prediction result includes both the target event and the credibility corresponding to the target event, the cell prediction result exemplarily includes {(target event, credibility 1), (target event, credibility 2)}.

[0219] In case 2, the cell prediction result includes at least one event and / or at least one credibility level corresponding to at least one event, where one event corresponds to one credibility level. The at least one event may include one or more of the following: event A1, event A2, event A3, event A4, or event A5. Exemplarily, when the cell prediction result includes a target event and a credibility level corresponding to the target event, the cell prediction result exemplarily includes {(event A1, credibility level 11), (event A1, credibility level 21), (event A3, credibility level 31)}.

[0220] Optionally, in case 1 and case 2, the cell prediction result may include a predicted time corresponding to an event or credibility.

[0221] Optionally, in case 1 and case 2, the cell prediction result may further include relevant information of the cell corresponding to the event.

[0222] In the embodiment of the present application, the relevant information of the cell may be the frequency point and / or cell ID of the cell.

[0223] Optionally, the terminal device may also send a cell prediction result to the network device.

[0224] Exemplarily, the terminal device may send the cell measurement result to the network device at a preset period, where the preset period is configured by the network device or agreed upon by a protocol.

[0225] Exemplarily, when the terminal device determines that the prediction result reporting condition is met, the terminal device sends the cell measurement result to the network device, wherein the prediction result reporting condition can be configured by the network device or agreed upon by a protocol.

[0226] Exemplarily, the prediction result reporting condition indicates that the report is to be made when the ratio of the first credibility number to the second credibility number is lower than a first threshold value, wherein the first credibility number can be the number of credibility in the cell prediction result that is greater than the first credibility threshold, and the second credibility number is the number of all credibility in the cell prediction result.

[0227] Exemplarily, the prediction result reporting condition indicates that the report is to be made when the ratio of the first credibility number to the second credibility number is higher than a first threshold value, wherein the first credibility number can be the number of credibility in the cell prediction result that is greater than the first credibility threshold, and the second credibility number is the number of all credibility in the cell prediction result.

[0228] For example, after receiving the cell prediction result, the network device may configure a larger or mobility measurement period for the terminal device, or directly instruct the terminal to perform cell switching, thereby reducing the measurement of the terminal device and improving switching performance.

[0229] In an embodiment of the present application, the network device sends prediction configuration information to the terminal device, and the terminal device predicts the target event based on the prediction configuration information to obtain a cell prediction result corresponding to the target event, thereby enabling the terminal device to predict the target event, effectively reducing the measurement of the terminal device and improving the switching performance, thereby improving the user experience in high-frequency and high-speed mobile scenarios.

[0230] FIG5 is a second flow chart of a communication method provided in an embodiment of the present application. As shown in FIG5 , the method includes:

[0231] S501. The terminal device sends capability information to the network device.

[0232] Optionally, capability information may be used to indicate the target event and prediction type.

[0233] The prediction type can be time domain prediction, frequency domain prediction, spatial domain prediction, time domain and frequency domain prediction, time domain and spatial domain prediction, frequency domain and spatial domain prediction, or time domain and frequency domain and spatial domain prediction.

[0234] In one possible implementation, the prediction configuration information may include one or more of the following: prediction duration, a first credibility threshold, a predicted number of neighboring cells, predicted inter-frequency neighboring cell information, predicted intra-frequency neighboring cell information, and predicted measurement event parameters. The predicted measurement event parameters may include one or more of the following: hysteresis, threshold, and time to trigger.

[0235] Optionally, the predicted inter-frequency neighboring cell information, the predicted number of neighboring cells, and the predicted intra-frequency neighboring cell information are all used to indicate the cell corresponding to the target event.

[0236] It should be noted that for explanations of the predicted inter-frequency neighboring cell information, the predicted intra-frequency neighboring cell information and the cell corresponding to the target event, please refer to the following methods 1 to 7.

[0237] S502: The network device sends measurement configuration information and prediction configuration information to the terminal device.

[0238] The measurement configuration information may correspond to a target event.

[0239] The configuration method of the measurement configuration information is the same as that of the traditional technology. The measurement configuration information can indicate the following three measurement types at the cell level or beam level based on the SSB (Synchronization Signal / PBCH Block) or the Channel State Information Reference Signal (CSI-RS): Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), and Signal to Interference plus Noise Ratio (SINR). The measurement configuration information is not described in detail here.

[0240] The prediction configuration information may correspond to the prediction type.

[0241] The prediction type may be time domain prediction, and the prediction configuration information includes at least a prediction interval and any one of the following: a prediction duration and a first credibility threshold.

[0242] The prediction type is frequency domain prediction, and the prediction configuration information includes at least: the number of predicted neighboring cells (K), a first credibility threshold, and predicted inter-frequency neighboring cell information.

[0243] The prediction type is spatial prediction, and the prediction configuration information includes at least: the predicted number of neighboring cells (K), the first credibility threshold and the predicted co-frequency neighboring cell information.

[0244] The prediction type is time domain and frequency domain prediction, and the prediction configuration information includes at least: prediction interval, prediction duration, first credibility threshold and predicted inter-frequency neighboring area information.

[0245] The prediction type is time domain and spatial domain prediction, and the prediction configuration information includes at least: prediction interval, prediction duration, first credibility threshold and predicted co-frequency neighboring area information.

[0246] The prediction type is frequency domain and spatial domain prediction, and the prediction configuration information includes at least: a first credibility threshold, predicted inter-frequency neighboring area information, and predicted same-frequency neighboring area information.

[0247] The prediction type is time domain, frequency domain and spatial domain prediction, and the prediction configuration information includes at least: prediction interval, prediction duration, first credibility threshold, predicted inter-frequency neighboring area information and predicted same-frequency neighboring area information.

[0248] S503: The terminal device performs mobility measurement corresponding to the target event according to the measurement configuration information, and obtains a cell measurement result corresponding to the target event.

[0249] As an example, the cell measurement results include at least: measurement information of the serving cell and / or measurement information of the neighboring cell. In the present application, the measurement information involved may be RSRP value, RSRQ value, or SINR value. Neighboring cells may include co-frequency neighboring cells and / or inter-frequency neighboring cells.

[0250] As an example, the cell measurement result includes at least: measurement information of the serving cell and / or measurement information of the same-frequency neighboring cell.

[0251] As an example, the cell measurement result includes at least measurement information of the serving cell and / or measurement information of some neighboring cells. The some neighboring cells are indicated by measured neighboring cell information. The number of these some neighboring cells may be one or more. Optionally, the measured neighboring cell information may include relevant information about some neighboring cells. Optionally, the measured neighboring cell information may be included in measurement configuration information. The measured neighboring cell information may exemplarily be a measured neighboring cell list.

[0252] S504: The terminal device predicts the target event according to at least one of the prediction configuration information, the target event, and the cell measurement result, to obtain a cell prediction result corresponding to the target event.

[0253] S505. The terminal device sends the cell prediction result, or the cell prediction result and the cell measurement result to the network device.

[0254] Optionally, the network device may also send the cell measurement result to the terminal device.

[0255] Optionally, the following two methods may be used to implement S504.

[0256] Method 11: Input at least one of the prediction configuration information, the target event, and the cell measurement result into a prediction model, so that the prediction model outputs a cell prediction result.

[0257] Method 12 inputs at least one of the prediction configuration information, the target event, and the cell measurement result into a prediction model, so that the prediction model outputs a first prediction result; and determines the cell prediction result in the first prediction result according to a first credibility threshold.

[0258] Exemplarily, based on situation 1, the first prediction result may include the target event and the credibility corresponding to the target event; and the "determining the cell prediction result in the first prediction result according to the first credibility threshold" in method 12 includes:

[0259] A credibility higher than a first credibility threshold is determined in the first prediction result, and the credibility higher than the first credibility threshold and the target event corresponding to the credibility higher than the first credibility threshold are determined as the cell prediction result.

[0260] Exemplarily, based on situation 2, the first prediction result may include at least one event and at least one credibility corresponding to the at least one event; in method 12, “determining the cell prediction result in the first prediction result according to the first credibility threshold”:

[0261] A credibility higher than a first credibility threshold is determined in the first prediction result, and the credibility higher than the first credibility threshold and an event corresponding to the credibility higher than the first credibility threshold are determined as a cell prediction result.

[0262] Based on the above embodiments, the following takes Case 1 and Method 11 as an example to illustrate how the prediction model predicts a target event in combination with the prediction type.

[0263] Method 1: The prediction type can be time-domain prediction. The cells corresponding to the target event include the serving cell and / or neighboring cells. The prediction model predicts the target event corresponding to the serving cell and / or neighboring cells within the prediction time period to obtain a prediction result for the cell corresponding to the target event.

[0264] For approach 1, the input of the prediction model includes at least one or more of the following: measurement information of the serving cell, measurement information of the neighboring cell, target event, first credibility threshold, prediction duration, and predicted measurement event parameters.

[0265] The cell corresponding to the (1-A1 / A2) target event is the serving cell, and the target event is event A1 or event A2.

[0266] (1-A1 / A2-1) The measurement information of the serving cell gradually improves, meeting the entry conditions.

[0267] When the serving cell's measurement information meets the target event, the prediction model predicts the serving cell within (T to T + X1) to obtain a cell prediction result. And / or when the serving cell's measurement information does not meet the target event, the prediction model predicts the serving cell within (T + X01 to T + X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability of the target event occurring.

[0268] In an embodiment of the present application, T represents the moment when the cell prediction result corresponding to the target event is obtained, X1 represents the prediction duration, X01 represents the prediction duration occupied by the first prediction of the occurrence of the target event, and the target event can be event A1, event A2, event A3, event A4 or event A5.

[0269] In the embodiment of the present application, the entry condition indicates that a target event may be triggered in the future.

[0270] (1-A1 / A2-2) The measurement information of the serving cell gradually deteriorates, meeting the conditions for leaving.

[0271] When the serving cell's measurement information meets the target event, the prediction model predicts the serving cell within (T+X02 to T+X1) to obtain a cell prediction result. And / or when the serving cell's measurement information does not meet the target event, the prediction model predicts the serving cell within (T to T+X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability that the target event will not occur.

[0272] It should be noted that, in the embodiment of the present application, the leaving condition indicates from not satisfying the target event to not satisfying the target event.

[0273] In the embodiment of the present application, X02 represents the predicted duration of time taken for the first prediction that the target event will not occur. The target event may be event A1, event A2, event A3, event A4 or event A5.

[0274] In (1-A1 / A2), the cell prediction result may also include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may also include relevant information about the serving cell. In this embodiment of the present application, the relevant information about the cell may be the cell frequency or cell ID.

[0275] In the embodiment of the present application, the exit condition indicates whether the target event will be triggered in the future.

[0276] (1-A3) The cell corresponding to the target event is the adjacent cell, and the target event is event A3.

[0277] (1-A3-1) The measurement information of the adjacent cell gradually improves, meeting the entry conditions.

[0278] When the measurement information of the serving cell and the measurement information of the neighboring cell meet the triggering conditions of event A3, the prediction model predicts the neighboring cell within (T~T+X1) to obtain a cell prediction result. And / or when the measurement information of the serving cell and the measurement information of the neighboring cell do not meet the triggering conditions of event A3, the prediction model predicts the neighboring cell within (T+X01~T+X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability that event A3 will not occur.

[0279] (1-A3-2) The measurement information of the adjacent cell gradually deteriorates, meeting the conditions for leaving

[0280] When the measurement information of the serving cell and the measurement information of the neighboring cell meet the triggering conditions of event A3, the prediction model predicts the neighboring cell within (T+X02 to T+X1) to obtain a cell prediction result. And / or when the measurement information of the serving cell and the measurement information of the neighboring cell do not meet the triggering conditions of event A3, the prediction model predicts the neighboring cell within (T to T+X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability that event A3 will not occur.

[0281] In (1-A3), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of neighboring cells.

[0282] (1-A4) The cell corresponding to the target event is the adjacent cell, and the target event is event A4.

[0283] (1-A4-1) The measurement information of the adjacent cell gradually improves, meeting the entry conditions.

[0284] When the measurement information of a neighboring cell meets the triggering conditions for event A4, the prediction model performs predictions on the neighboring cell within (T to T + X1) to obtain a cell prediction result. And / or when the measurement information of the serving cell and the measurement information of the neighboring cell do not meet the triggering conditions for event A4, the prediction model performs predictions on the neighboring cell within (T + X01 to T + X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability of event A4 occurring.

[0285] (1-A4-2) The measurement information of the adjacent cell gradually deteriorates, meeting the conditions for leaving.

[0286] When the measurement information of a neighboring cell meets the triggering conditions for event A4, the prediction model performs a prediction on the neighboring cell within (T+X02 to T+X1) to obtain a cell prediction result. And / or when the measurement information of a neighboring cell does not meet the triggering conditions for event A4, the prediction model performs a prediction on the neighboring cell within (T to T+X1) to obtain a cell prediction result. The reliability of the cell prediction result indicates the probability that event A4 will not occur.

[0287] In (1-A4), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of neighboring cells.

[0288] (1-A5) The cells corresponding to the target event include the serving cell and the adjacent cell, and the target event is event A5.

[0289] (1-A5-1) The measurement information of the serving cell deteriorates, while the measurement information of the adjacent cell gradually improves, meeting the entry conditions.

[0290] When the measurement information of the serving cell and the measurement information of the neighboring cell meet the triggering conditions of event A5, the prediction model predicts the serving cell and the neighboring cell within (T~T+X1) to obtain a cell prediction result; and / or, when the measurement information of the serving cell and the measurement information of the neighboring cell do not meet the triggering conditions of event A5, the prediction model predicts the serving cell and the neighboring cell within (T+X01~T+X1) to obtain a cell prediction result, wherein the credibility of the cell prediction result represents the probability of event A5 occurring.

[0291] (1-A5-2) The measurement information of the serving cell improves, while the measurement information of the adjacent cell gradually deteriorates, meeting the leaving conditions.

[0292] When the measurement information of the serving cell and the measurement information of the neighboring cell meet the triggering conditions of event A5, the prediction model predicts the serving cell and the neighboring cell within (T+X02 to T+X1) to obtain a cell prediction result. And / or when the measurement information of the serving cell and the measurement information of the neighboring cell do not meet the triggering conditions of event A5, the prediction model predicts the serving cell and the neighboring cell within (T to T+X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability that event A5 will not occur.

[0293] In (1-A5), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the serving cell and relevant information of the neighboring cells.

[0294] When the prediction type is time domain prediction, some credibility in the cell prediction results may represent the probability of the target event occurring, and other credibility represents the probability of the target event not occurring. At this time, the credibility representing the probability of the target event occurring and the target event corresponding to the credibility can be set in one report, and the credibility representing the probability of the target event not occurring and the target event corresponding to the credibility can be set in another report, and two reports are sent to realize the reporting of the cell prediction results.

[0295] Exemplary: The cell prediction results include {(target event, credibility 1), (target event, credibility 2)}, where credibility 1 represents the probability of the target event occurring, and credibility 2 represents the probability of the target event not occurring. At this time, (target event, credibility 1) can be set in one report, and (target event, credibility 2) can be set in another report.

[0296] Method 2: The prediction type is frequency domain prediction. The cell corresponding to the target event is an inter-frequency neighboring cell. The prediction model predicts the target event corresponding to the inter-frequency neighboring cell to obtain the prediction result for the cell corresponding to the target event. The inter-frequency neighboring cell is indicated by the predicted inter-frequency neighboring cell information. The inter-frequency neighboring cell includes the inter-frequency neighboring cell of the serving cell and / or the inter-frequency neighboring cell of the neighboring cell.

[0297] For approach 2, the prediction model input includes at least one or more of the following: serving cell measurement information, neighboring cell measurement information, target event, first credibility threshold, predicted number of neighboring cells (K), inter-frequency neighboring cell information, and predicted measurement event parameters. In this embodiment of the present application, K represents an integer greater than or equal to 1.

[0298] The maximum number of cells (i.e., inter-frequency neighboring cells) corresponding to the target event in the predicted neighboring cell quantity indication mode 2.

[0299] (2-A1 / A2) The inter-frequency neighbor cell is the inter-frequency neighbor cell of the serving cell, and the target event is event A1 or event A2.

[0300] (2-A1 / A2-1) The measurement information of the serving cell gradually improves, meeting the entry conditions.

[0301] When the serving cell's measurement information meets or fails to meet the target event, the prediction model predicts the serving cell's K inter-frequency neighboring cells to obtain a cell prediction result. The cell prediction result includes the target event corresponding to each of the serving cell's K inter-frequency neighboring cells and / or the corresponding credibility of the target event. The credibility indicates the probability of the target event occurring.

[0302] (2-A1 / A2-2) The measurement information of the serving cell gradually deteriorates, meeting the conditions for leaving.

[0303] When the serving cell's measurement information meets or does not meet the target event, the prediction model predicts the serving cell's K inter-frequency neighboring cells to obtain a cell prediction result. The cell prediction result includes the target event corresponding to each of the serving cell's K inter-frequency neighboring cells and / or the corresponding credibility of the target event. The credibility indicates the probability that the target event will not occur.

[0304] In (2-A1 / A2), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of each of the K inter-frequency neighboring cells.

[0305] (2-A3 / A4) Inter-frequency neighboring cells are inter-frequency neighboring cells of adjacent cells, and the target event is event A3 or event A4

[0306] (2-A3 / A4-1) The measurement information of the adjacent cell gradually improves, meeting the entry conditions.

[0307] When the measurement results of a neighboring cell meet the target event, or when the measurement results of the neighboring cell do not meet the target event, the prediction model predicts the K inter-frequency neighboring cells of the neighboring cell to obtain a cell prediction result. The cell prediction result includes the target event corresponding to each of the K inter-frequency neighboring cells of the neighboring cell and / or the credibility of the target event. The credibility represents the probability of the target event occurring.

[0308] (2-A3 / A4-2) The measurement information of the adjacent cell gradually deteriorates, meeting the conditions for leaving.

[0309] When the measurement results of a neighboring cell meet the target event, or when the measurement results of the neighboring cell do not meet the target event, the prediction model predicts the K inter-frequency neighboring cells of the neighboring cell to obtain a cell prediction result. The cell prediction result includes the target event corresponding to each of the K inter-frequency neighboring cells of the neighboring cell and / or the credibility of the target event. The credibility represents the probability that the target event will not occur.

[0310] In (2-A3 / A4), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of each of the K inter-frequency neighboring cells.

[0311] (2-A5) Inter-frequency neighboring cells include the inter-frequency neighboring cells of the serving cell and the inter-frequency neighboring cells of the adjacent cells. The target event is event A5.

[0312] (2-A5-1) The measurement information of the serving cell gradually deteriorates, while the measurement information of the adjacent cell gradually improves, meeting the entry conditions.

[0313] When the measurement information of the serving cell and the measurement results of the neighboring cells meet or do not meet the target event, the prediction model predicts the K inter-frequency neighboring cells of the serving cell and the K inter-frequency neighboring cells of the neighboring cells to obtain a cell prediction result. The cell prediction result includes the target event and / or the credibility corresponding to the target event for each of the K pairs of neighboring cells. The credibility represents the probability of event A5 occurring. Each pair of neighboring cells includes one inter-frequency neighboring cell of the serving cell and one inter-frequency neighboring cell of the neighboring cell. The one inter-frequency neighboring cell of the serving cell corresponds to the one inter-frequency neighboring cell of the neighboring cell.

[0314] (2-A5-2) The measurement information of the adjacent cell gradually deteriorates, meeting the conditions for leaving

[0315] When the serving cell's measurement information and the neighboring cell's measurement results meet or fail the target event, the prediction model predicts the serving cell's K inter-frequency neighboring cells and the neighboring cell's K inter-frequency neighboring cells to obtain a cell prediction result. The cell prediction result includes the target event corresponding to each of the K pairs of neighboring cells and / or the corresponding confidence level of the target event. The confidence level indicates the probability that event A5 will not occur.

[0316] In (2-A5), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the K inter-frequency neighboring cells of the serving cell and relevant information of the K inter-frequency neighboring cells of the adjacent cell.

[0317] Method 3: The prediction type can be spatial prediction, the cell corresponding to the target event is the same-frequency surrounding neighboring cell, and the prediction model predicts the target event corresponding to the same-frequency surrounding neighboring cell. The same-frequency surrounding neighboring cell can be indicated by predicted same-frequency neighboring cell information. Optionally, the predicted same-frequency neighboring cell information may include relevant information about the same-frequency surrounding neighboring cell. The predicted same-frequency neighboring cell information may be a predicted neighboring cell list. The same-frequency surrounding neighboring cell is indicated by a predicted neighboring cell list. It should be noted that the same-frequency surrounding neighboring cell may be a same-frequency cell within a preset number of circles outside the serving cell. The preset number of circles may be, for example, 1, 2, or 3.

[0318] For method 3, the input of the prediction model includes at least one or more of the following: measurement information of the serving cell, measurement information of some neighboring cells, target event, first credibility threshold, predicted number of neighboring cells (K), predicted co-frequency neighboring cell information, and predicted measurement event parameters.

[0319] The following describes the same-frequency surrounding neighboring cells and partial neighboring cells in conjunction with Figure 6. Figure 6 is a schematic diagram of a cell in an embodiment of the present application. As shown in Figure 6, it includes: cells C1 to C9. For example, C1 is a serving cell, C2, C4 and C7 are partial neighboring cells, and C3, C5, C6, C8, C9 and C10 are same-frequency surrounding neighboring cells. It should be noted that Figure 6 is illustrated by taking the preset number of circles equal to 3 as an example. For C3, C5, C6, C8, C9 and C10, C6 and C8 are the same-frequency surrounding neighboring cells on the first circle, C3, C5 and C9 are the same-frequency surrounding neighboring cells on the second circle, and C10 is the same-frequency surrounding neighboring cell on the third circle.

[0320] (3-A3 / A4) Same-frequency neighboring cell, target event is event A3 or event A4.

[0321] (3-A3 / A4-1) The measurement information of some neighboring cells gradually improves, meeting the entry conditions.

[0322] When the measurement information of some neighboring cells meets the target event, or when the measurement information of some neighboring cells does not meet the target event, the prediction model predicts K co-frequency neighboring cells to obtain a cell prediction result. The cell prediction result includes the target event corresponding to each of the K co-frequency neighboring cells and / or the corresponding credibility of the target event. The credibility indicates the probability of the target event occurring.

[0323] (3-A3 / A4-2) The measurement information of some neighboring cells gradually deteriorates, meeting the conditions for leaving

[0324] When the measurement information of some neighboring cells meets or does not meet the target event, the prediction model predicts the K co-frequency neighboring cells and obtains a cell prediction result. The cell prediction result includes the target event corresponding to each of the K co-frequency neighboring cells and / or the corresponding confidence level of the target event. The confidence level indicates the probability that the target event will not occur.

[0325] In (3-A3 / A4), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of K co-frequency neighboring cells.

[0326] (3-A5) The same-frequency neighboring cells include the same-frequency cells of the serving cell and some of the neighboring cells. The target event is event A5.

[0327] (3-A5-1) The measurement information of the serving cell deteriorates, while the measurement information of some neighboring cells gradually improves, meeting the entry conditions.

[0328] When the measurement information of the serving cell and some neighboring cells meets or does not meet event A5, the prediction model predicts the K co-frequency cells of the serving cell and the K co-frequency cells of some neighboring cells, obtaining a cell prediction result. The cell prediction result includes the target event corresponding to each of the K pairs of co-frequency cells and / or the corresponding credibility of the target event, which represents the probability of event A5 occurring. Each pair of co-frequency cells includes one co-frequency cell of the serving cell and one co-frequency cell of some neighboring cells, and one co-frequency cell of the serving cell corresponds to one co-frequency cell of some neighboring cells.

[0329] (3-A5-2) The measurement information of the serving cell improves, while the measurement information of some neighboring cells gradually deteriorates, meeting the conditions for leaving.

[0330] When the measurement information of the serving cell and some neighboring cells meets or does not meet event A5, the prediction model predicts the K co-frequency cells of the serving cell and the K co-frequency cells of some neighboring cells, obtaining a cell prediction result. The cell prediction result includes the target event corresponding to each of the K pairs of co-frequency cells and / or the corresponding credibility of the target event, which represents the probability that event A5 will not occur. Each pair of co-frequency cells includes one co-frequency cell of the serving cell and one co-frequency cell of some neighboring cells, and one co-frequency cell of the serving cell corresponds to one co-frequency cell of some neighboring cells.

[0331] In (3-A5), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include the relevant information of the K co-frequency cells of the serving cell and the relevant information of the K co-frequency cells of some neighboring cells.

[0332] It should be noted that in method 3, the prediction model contains prior information on the locations of some neighboring cells and co-frequency neighboring cells.

[0333] Method 4: The prediction type can be time-domain and frequency-domain prediction. The cell corresponding to the target event is a co-coverage, heterogeneous-frequency neighboring cell. The prediction model predicts the target event corresponding to the co-coverage, heterogeneous-frequency neighboring cell at at least one prediction time. The co-coverage, heterogeneous-frequency neighboring cell is indicated by predicted heterogeneous-frequency neighboring cell information. The co-coverage, heterogeneous-frequency neighboring cell includes the co-coverage, heterogeneous-frequency neighboring cell of the serving cell and / or the co-coverage, heterogeneous-frequency neighboring cell of the neighboring cell.

[0334] For mode 4, the input of the prediction model includes at least one or more of the following: measurement information of the serving cell, measurement information of the neighboring cell, target event, first credibility threshold, prediction duration, predicted inter-frequency neighboring cell information, and predicted measurement event parameters.

[0335] (4-A1 / A2) Same-coverage, different-frequency neighboring cells include the same-coverage, different-frequency neighboring cells of the serving cell. The target event is event A1 or event A2.

[0336] (4-A1 / A2-1) The measurement information of the serving cell improves, meeting the entry conditions.

[0337] When the serving cell's measurement information meets the target event, the prediction model predicts the serving cell's co-coverage, heterogeneous frequency neighboring cells within (T to T + X1) to obtain a cell prediction result. And / or when the serving cell's measurement information does not meet the target event, the prediction model predicts the serving cell's co-coverage, heterogeneous frequency neighboring cells within (T + X01 to T + X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability of the target event occurring.

[0338] (4-A1 / A2-1) The measurement information of the serving cell deteriorates, meeting the conditions for leaving.

[0339] If the serving cell's measurement information does not meet the target event, the prediction model predicts the serving cell's co-coverage, different-frequency neighboring cells within (T to T + X1) to obtain a cell prediction result. And / or if the serving cell's measurement information meets the target event, the prediction model predicts the serving cell's co-coverage, different-frequency neighboring cells within (T + X02 to T + X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability that the target event will not occur.

[0340] In (4-A1 / A2), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the same coverage but different frequency neighboring cells of the serving cell.

[0341] (4-A3 / A4) Same coverage, different frequency neighbor cells are same coverage, different frequency neighbor cells of adjacent cells, and the target event is event A3 or event A4

[0342] (4-A3 / A4-1) The measurement information of the neighboring cell improves, meeting the entry conditions.

[0343] When the measurement information of a neighboring cell meets the target event, the prediction model predicts the neighboring cell's co-coverage, different-frequency neighboring cells within (T to T + X1) to obtain a cell prediction result. And / or when the measurement information of a neighboring cell does not meet the target event, the prediction model predicts the neighboring cell's co-coverage, different-frequency neighboring cells within (T + X01 to T + X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability of the target event occurring.

[0344] (4-A3 / A4-2) The measurement information of the adjacent cell deteriorates, meeting the conditions for leaving.

[0345] When the measurement information of the neighboring cell meets the target event, the prediction model predicts the neighboring cell's co-coverage, different-frequency neighboring cells within (T to T + X1) to obtain a cell prediction result. And / or when the measurement information of the neighboring cell does not meet the target event, the prediction model predicts the neighboring cell's co-coverage, different-frequency neighboring cells within (T + X02 to T + X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability that the target event will not occur.

[0346] In (4-A3 / A4), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the same coverage but different frequency neighboring cells of the adjacent cells.

[0347] (4-A5) Co-coverage heterogeneous neighboring cells include the co-coverage heterogeneous neighboring cells of the serving cell and the co-coverage heterogeneous neighboring cells of the adjacent cells. The target event is event A5.

[0348] (4-A5-1) The measurement information of the serving cell deteriorates, while the measurement information of the adjacent cell improves, meeting the entry conditions.

[0349] When the measurement information of the serving cell and the measurement information of the neighboring cell meet event A5, the prediction model predicts the co-coverage, heterogeneous neighboring cells of the serving cell and the co-coverage, heterogeneous neighboring cells of the neighboring cell within (T to T + X1) to obtain a cell prediction result. And / or when the measurement information of the serving cell and the measurement information of the neighboring cell do not meet event A5, the prediction model predicts the co-coverage, heterogeneous neighboring cells of the neighboring cell within (T + X01 to T + X1) to obtain a cell prediction result. The reliability of the cell prediction result represents the probability of event A5 occurring.

[0350] (4-A5-2) The measurement information of the serving cell improves, while the measurement information of the adjacent cell deteriorates, meeting the leaving condition.

[0351] When the measurement information of the serving cell and the measurement information of the neighboring cell meet event A5, the prediction model predicts the co-coverage, different-frequency neighboring cells of the neighboring cell within (T to T + X1) to obtain a cell prediction result. And / or when the measurement information of the serving cell and the measurement information of the neighboring cell do not meet event A5, the prediction model predicts the co-coverage, different-frequency neighboring cells of the neighboring cell within (T + X02 to T + X1) to obtain a cell prediction result. The reliability of the cell prediction result represents the probability that event A5 will not occur.

[0352] In (4-4-A5), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the serving cell's co-coverage, heterogeneous frequency neighboring cells and relevant information of the adjacent cells' co-coverage, heterogeneous frequency neighboring cells.

[0353] Method 5: The prediction type can be time-domain and spatial-domain prediction. The cell corresponding to the target event is the co-frequency neighboring cell. The prediction model predicts the target event corresponding to the co-frequency neighboring cell within the prediction duration. The co-frequency neighboring cell is indicated by the predicted co-frequency neighboring cell information. The predicted co-frequency neighboring cell information may include relevant information about the co-frequency neighboring cell. The co-frequency neighboring cell includes the co-frequency neighboring cell of the serving cell and / or the co-frequency neighboring cell of the neighboring cell.

[0354] For method 5, the input of the prediction model includes at least one or more of the following: measurement information of the serving cell, measurement information of some neighboring cells, target event, first credibility threshold, prediction duration, predicted co-frequency neighboring cell information, and predicted measurement event parameters.

[0355] (5-A1 / A2) The same-frequency neighboring cells include the same-frequency neighboring cells of the serving cell. The target event is event A1 or event A2.

[0356] (5-A1 / A2-1) The measurement information of the serving cell improves, meeting the entry conditions.

[0357] When the serving cell's measurement information meets the target event, the prediction model predicts the serving cell's co-frequency neighboring cells within (T to T + X1) to obtain a cell prediction result. And / or when the serving cell's measurement information does not meet the target event, the prediction model predicts the serving cell's co-frequency neighboring cells within (T + X01 to T + X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability of the target event occurring.

[0358] (5-A1 / A2-2) The measurement information of the serving cell deteriorates, meeting the conditions for leaving.

[0359] When the serving cell's measurement information does not meet the target event, the prediction model predicts the serving cell's co-frequency neighboring cells within (T to T + X1) to obtain a cell prediction result. And / or when the serving cell's measurement information meets the target event, the prediction model predicts the serving cell's co-frequency neighboring cells within (T + X02 to T + X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability that the target event will not occur.

[0360] In (5-A1 / A2), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the co-frequency neighboring cells of the serving cell.

[0361] (5-A3 / A4) Co-frequency neighboring cells include co-frequency neighboring cells of some neighboring cells, and the target event is event A3 or event A4

[0362] (5-A3 / A4-1) The measurement information of some neighboring cells has improved, meeting the entry conditions.

[0363] When the measurement information of some neighboring cells meets the target event, the prediction model predicts the co-frequency neighboring cells of some neighboring cells within (T~T+X1) to obtain a cell prediction result. And / or when the measurement information of some neighboring cells does not meet the target event, the prediction model predicts the co-frequency neighboring cells of some neighboring cells within (T+X01~T+X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability of the target event occurring.

[0364] (5-A3 / A4-2) The measurement information of some neighboring cells deteriorates, meeting the conditions for leaving

[0365] When the measurement information of some neighboring cells meets the target event, the prediction model predicts some of the neighboring cells within (T~T+X1) to obtain a cell prediction result. And / or when the measurement information of some neighboring cells meets the target event, the prediction model predicts some of the co-frequency neighboring cells within (T+X02~T+X1) to obtain a cell prediction result. The reliability of the cell prediction result represents the probability that the target event will not occur.

[0366] In (5-A3 / A4), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the same-frequency neighboring cells of some neighboring cells.

[0367] (5-A5) The same-frequency neighboring area includes the same-frequency neighboring area of ​​the serving cell and the same-frequency neighboring area of ​​some neighboring cells. The target event is event A5

[0368] (5-A5-1) The measurement information of the serving cell deteriorates, while the measurement information of some neighboring cells improves, meeting the entry conditions.

[0369] When the measurement information of the serving cell and some of the neighboring cells meets event A5, the prediction model predicts the co-frequency neighboring cells of the serving cell and some of the neighboring cells within (T to T+X1) to obtain a cell prediction result. And / or when the measurement information of the serving cell and some of the neighboring cells does not meet event A5, the prediction model predicts the co-frequency neighboring cells of the serving cell and some of the neighboring cells within (T+X01 to T+X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability of the target event occurring.

[0370] (5-A5-2) The measurement information of the serving cell improves, while the measurement information of some neighboring cells deteriorates, meeting the conditions for leaving.

[0371] When the measurement information of the serving cell and some of the neighboring cells meets event A5, the prediction model predicts the co-frequency neighboring cells of the serving cell and some of the neighboring cells within (T to T+X1) to obtain a cell prediction result. And / or when the measurement information of the serving cell and some of the neighboring cells does not meet event A5, the prediction model predicts the co-frequency neighboring cells of the serving cell and some of the neighboring cells within (T+X02 to T+X1) to obtain a cell prediction result. The reliability of the cell prediction result represents the probability that the target event will not occur.

[0372] In (5-A5), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the co-frequency neighboring cells of the serving cell and relevant information of the co-frequency neighboring cells of some neighboring cells.

[0373] Method 6: The prediction type can be frequency domain and spatial domain prediction. The cell corresponding to the target event is an inter-frequency neighboring cell. The prediction model predicts the target event corresponding to the inter-frequency neighboring cell.

[0374] In mode 6 and the following mode 7, the inter-frequency neighboring area includes the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the serving cell and / or the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the adjacent cell. Among them, the adjacent cell is the above-mentioned partial neighboring area, which is indicated by the measured neighboring area information. The co-frequency neighboring area of ​​the serving cell and the co-frequency neighboring area of ​​the adjacent cell are indicated by predicted co-frequency neighboring area information. Optionally, the predicted co-frequency neighboring area information includes relevant information of the co-frequency neighboring area of ​​the serving cell and relevant information of the co-frequency neighboring area of ​​the adjacent cell. The inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the serving cell and the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the adjacent cell are indicated by predicted inter-frequency neighboring area information. The predicted inter-frequency neighboring area information includes relevant information of the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the serving cell and relevant information of the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the adjacent cell.

[0375] For method 6, the input of the prediction model includes at least one or more of the following: measurement information of the serving cell, measurement information of some neighboring cells, target event, first credibility threshold, predicted co-frequency neighboring cell information, predicted co-frequency neighboring cell information, and predicted measurement event parameters.

[0376] (6-A3 / A4) The inter-frequency neighboring cell is the inter-frequency neighboring cell corresponding to the same-frequency neighboring cell of the adjacent cell, and the target event is event A3 or event A4

[0377] (6-A3 / A4-1) The measurement information of the neighboring cell improves, meeting the entry conditions.

[0378] When the measurement information of a neighboring cell meets or does not meet the target event, the prediction model predicts the inter-frequency neighboring cell corresponding to the co-frequency neighboring cell of the neighboring cell to obtain cell prediction information. The credibility of the cell prediction result represents the probability of the target event occurring.

[0379] (6-A3 / A4-2) The measurement information of the adjacent cell deteriorates, meeting the conditions for leaving.

[0380] When the measurement information of a neighboring cell meets or does not meet the target event, the prediction model predicts the corresponding inter-frequency neighboring cell of the neighboring cell's co-frequency neighboring cell to obtain cell prediction information. The credibility of the cell prediction result represents the probability that the target event will not occur.

[0381] In (6-A3 / A4), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the inter-frequency neighboring cells corresponding to the same-frequency neighboring cells of the adjacent cells.

[0382] (6-A5) Inter-frequency neighboring cells include the inter-frequency neighboring cells corresponding to the same-frequency neighboring cells of the serving cell and the inter-frequency neighboring cells corresponding to the same-frequency neighboring cells of the adjacent cells. The target event is event A5.

[0383] (6-A5-1) The measurement information of the serving cell deteriorates, while the measurement information of the adjacent cell improves, meeting the entry conditions.

[0384] When the measurement information of the serving cell and the measurement information of the neighboring cell meet event A5 or do not meet event A5, the prediction model predicts the inter-frequency neighboring cells corresponding to the serving cell's co-frequency neighboring cells and the inter-frequency neighboring cells corresponding to the co-frequency neighboring cells of the neighboring cell, and obtains cell prediction information. The credibility of the cell prediction result represents the probability of event A5 occurring.

[0385] (6-A5-2) The measurement information of the serving cell improves, while the measurement information of the adjacent cell deteriorates, meeting the leaving condition.

[0386] When the measurement information of the serving cell and the measurement information of the neighboring cell meet or do not meet event A5, the prediction model predicts the inter-frequency neighboring cells corresponding to the serving cell's co-frequency neighboring cells and the inter-frequency neighboring cells corresponding to the co-frequency neighboring cells of the neighboring cell, and obtains cell prediction information. The credibility of the cell prediction result represents the probability that event A5 will not occur.

[0387] In (6-A5), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the inter-frequency neighboring cells corresponding to the same-frequency neighboring cells of the serving cell and relevant information of the inter-frequency neighboring cells corresponding to the same-frequency neighboring cells of the adjacent cells.

[0388] Method 7: The prediction type can be time domain, frequency domain, and spatial domain prediction. The cell corresponding to the target event is an inter-frequency neighboring cell, and the prediction model predicts the target event corresponding to the inter-frequency neighboring cell.

[0389] For method 7, the input of the prediction model includes at least one or more of the following: measurement information of the serving cell, measurement information of some neighboring cells, target event, first credibility threshold, prediction duration, predicted co-frequency neighboring cell information, predicted co-frequency neighboring cell information, and predicted measurement event parameters.

[0390] (7-A3 / A4) The inter-frequency neighboring cell is the inter-frequency neighboring cell corresponding to the same-frequency neighboring cell of the adjacent cell, and the target event is event A3 or event A4

[0391] (7-A3 / A4-1) The measurement information of the neighboring cell improves, meeting the entry conditions.

[0392] When the measurement information of a neighboring cell meets or does not meet the target event, the prediction model predicts the corresponding inter-frequency neighboring cell of the neighboring cell within (T~T+X1) to obtain the cell prediction result. The credibility of the cell prediction result represents the probability of the target event occurring.

[0393] (7-A3 / A4-2) The measurement information of the adjacent cell deteriorates, meeting the conditions for leaving.

[0394] When the measurement information of a neighboring cell meets or does not meet the target event, the prediction model predicts the corresponding inter-frequency neighboring cell of the neighboring cell within (T~T+X1) to obtain the cell prediction result. The credibility of the cell prediction result represents the probability that the target event will not occur.

[0395] In (7-A3 / A4), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the inter-frequency neighboring cells corresponding to the same-frequency neighboring cells of the adjacent cells.

[0396] (7-A5) Inter-frequency neighboring cells include the inter-frequency neighboring cells corresponding to the same-frequency neighboring cells of the serving cell and the inter-frequency neighboring cells corresponding to the same-frequency neighboring cells of the adjacent cells. The target event is event A5.

[0397] (7-A5-1) The measurement information of the serving cell deteriorates, while the measurement information of the adjacent cell improves, meeting the entry conditions.

[0398] When the measurement information of the serving cell and the measurement information of the neighboring cell meet event A5 or do not meet event A5, the prediction model predicts the inter-frequency neighboring cells corresponding to the serving cell's co-frequency neighboring cells and the inter-frequency neighboring cells corresponding to the co-frequency neighboring cells of the neighboring cell within (T to T + X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability of event A5 occurring.

[0399] (7-A5-2) The measurement information of the serving cell improves, while the measurement information of the adjacent cell deteriorates, meeting the conditions for leaving.

[0400] When the measurement information of the serving cell and the measurement information of the neighboring cell meet event A5 or do not meet event A5, the prediction model predicts the inter-frequency neighboring cells corresponding to the serving cell's co-frequency neighboring cells and the inter-frequency neighboring cells corresponding to the co-frequency neighboring cells of the neighboring cell within (T to T + X1) to obtain a cell prediction result. The credibility of the cell prediction result represents the probability that event A5 will not occur.

[0401] In (7-A5), the cell prediction result may further include the predicted time corresponding to the target event and / or the predicted time corresponding to the credibility. The cell prediction result may further include relevant information of the inter-frequency neighboring cells corresponding to the same-frequency neighboring cells of the serving cell and relevant information of the inter-frequency neighboring cells corresponding to the same-frequency neighboring cells of the adjacent cells.

[0402] It should be noted that the methods provided in the embodiments of the present application are all implemented on the basis of taking into account the TTT in the event trigger configuration (eventtriggerconfig).

[0403] Based on the above embodiment, the above T, X01, X02 and X1 are described below with reference to FIG. 7 and FIG. 8 .

[0404] FIG7 is a prediction time diagram provided by an embodiment of the present application. It should be noted that FIG7 is illustrated using (1-A1-1) as an example. As shown in FIG7 , it includes: curve 11 and curve 12. In FIG7 , curve 11 and curve 12 are illustrated as straight lines. In actual applications, curve 11 and curve 12 can be curves with an overall multiplication upward trend.

[0405] Curve 11 indicates that when the measurement information of the serving cell meets the target event, the prediction model predicts the serving cell within (T~T+X1) to obtain a cell prediction result.

[0406] Curve 12 indicates that when the measurement information of the serving cell does not meet the target event, the prediction model predicts the serving cell within (T+X01 to T+X1) to obtain a cell prediction result.

[0407] FIG8 is another prediction time diagram provided in an embodiment of the present application. It should be noted that FIG8 is illustrated using (1-A1-2) as an example. As shown in FIG8 , it includes: curve 21 and curve 22. FIG8 illustrates an example in which curve 21 and curve 22 are straight lines. In actual applications, curve 21 and curve 22 may be curves that have an overall multiplied upward trend.

[0408] Curve 21 indicates that when the measurement information of the serving cell meets the target event, the prediction model predicts the serving cell within (T+X02~T+X1) to obtain a cell prediction result.

[0409] Curve 22 indicates that when the measurement information of the serving cell does not meet the target event, the prediction model predicts the serving cell within (T~T+X1) to obtain a cell prediction result.

[0410] FIG9 is a flow chart of another communication method provided by an embodiment of the present application. As shown in FIG9 , the method includes:

[0411] S901. The network device sends performance monitoring information to the terminal device.

[0412] Performance monitoring information has the following two situations.

[0413] Case 11: Performance monitoring information is used to indicate monitoring configuration information and reporting condition information;

[0414] The monitoring configuration information is used to instruct the terminal device to perform mobility measurement to obtain a first event;

[0415] The reporting condition information is used to indicate the conditions satisfied by the first event and the second event in the cell prediction result when the terminal device sends the performance monitoring result, wherein the time when the first event is satisfied is the same as the time when the second event is satisfied.

[0416] The first event may be event A1, event A2, event A3, event A4, or event A5.

[0417] The second event may also be event A1, event A2, event A3, event A4 or event A5.

[0418] The moment when the first event is satisfied is the moment when the trigger configuration (eventtriggerconfig) of the first event is satisfied.

[0419] The time when the second event is satisfied is the predicted time corresponding to the second event.

[0420] Optionally, the second event may be an event predicted for the first time. For example, in Methods 1 to 7, the second event may be an event predicted at the prediction time (T+X01).

[0421] In case 12, the performance monitoring information is used to indicate reporting condition information, which indicates the conditions under which the terminal device sends performance monitoring results. The performance monitoring information is also used to indicate one or more of the following: a second credibility threshold, a first time period, and a first quantity. The second credibility threshold, first time period, and first quantity are used to determine the credibility of at least one of the cell prediction results.

[0422] S902. The terminal device sends the performance monitoring result to the network device based on the performance monitoring information and the cell prediction result, wherein the cell prediction result is obtained through any one of the above embodiments.

[0423] Optionally, the performance monitoring information may correspond to a target event, and the cell prediction result is a cell prediction result of the target event.

[0424] Optionally, the performance monitoring result includes a first performance monitoring result and / or a second performance monitoring result. The first performance monitoring result indicates that the cell prediction result is normal. The second performance monitoring result indicates that the cell prediction result is abnormal.

[0425] The fact that the performance monitoring result includes the first performance monitoring result can be understood as the performance monitoring result being the first performance monitoring result.

[0426] The fact that the performance monitoring result includes the second performance monitoring result can be understood as the performance monitoring result being the second performance monitoring result.

[0427] In an embodiment of the present application, the terminal device can send performance monitoring results to the network device based on the performance monitoring information and cell prediction results, so that the network device can promptly know whether the cell prediction results are abnormal, and assist the network device to promptly and accurately control the cell switching of the terminal device.

[0428] Optionally, the following method 21 or manner 22 may be used to implement S902.

[0429] Method 21, based on scenario 11, sends the performance monitoring result to the network device according to the performance monitoring information and the cell prediction result, including:

[0430] Performing mobility measurement based on the performance monitoring information to obtain a first event;

[0431] Make a comparative judgment on the first incident and the second incident;

[0432] When the reporting condition information indicates that the first event and the second event are reported identically, the first performance monitoring result is sent to the network device; and / or when the reporting condition information indicates that the first event and the second event are reported differently, the second performance monitoring result is sent to the network device.

[0433] Exemplarily, when a cell measurement result includes at least one event, at least one credibility corresponding to the at least one event, and a predicted time corresponding to the at least one event, the second event may be a measurement event corresponding to the predicted time in the cell measurement result that is the same as the time at which the first event is satisfied. For example, the cell measurement result includes {(event A1, credibility 1, predicted time T+t1), (event A3, credibility 2, predicted time T+t2), (event A2, credibility 3, predicted time T+t3)}. If the predicted time that is the same as the time at which the first event is satisfied is T+t2, the second event is determined to be event A3. Furthermore, when the first event is also event A3, the first event and the second event are the same, and the first performance monitoring result is sent to the network device. When the first event is also event A2, the first event and the second event are different, and the second performance monitoring result is sent to the network device.

[0434] Method 22, based on scenario 12, the cell prediction result includes at least one credibility corresponding to at least one event, and the predicted time corresponding to each event (i.e., the time corresponding to each credibility); S902 includes:

[0435] When the reporting condition information indicates that at least one credibility is lower than the second credibility threshold reporting, sending the second performance monitoring result to the network device;

[0436] When the reporting condition information indicates that at least one credibility is higher than the second credibility threshold reporting, sending the first performance monitoring result to the network device;

[0437] When the reporting condition information indicates that the credibility within the first time period is lower than the second credibility threshold reporting, sending a second performance monitoring result to the network device, wherein the at least one credibility includes the credibility within the first time period;

[0438] When the reporting condition information indicates that a first number of consecutive credibility levels are lower than a credibility threshold, a second performance monitoring result is sent to the network device, wherein at least one credibility level includes the first number of credibility levels.

[0439] Optionally, the second credibility threshold may be the same as or different from the first credibility threshold.

[0440] Optionally, when the second credibility threshold is the same as the first credibility threshold, the performance monitoring information may not indicate the second credibility threshold, or may indicate that the second credibility threshold is the same as the first credibility threshold.

[0441] Optionally, the following method can be used to obtain the first number of credibility: for each credibility of at least one credibility, determine whether the credibility is within the first time period based on the prediction time of the credibility; if it is within the first time period, determine the credibility as the credibility within the first time period.

[0442] Optionally, the continuous first number of credibility can be any continuous first number of credibility of at least one credibility, or can be credibility corresponding to a specified continuous first number of prediction moments, wherein the continuous first number of prediction moments can be indicated by performance monitoring information.

[0443] In one possible implementation, the terminal device may also send ratio information to the network device; wherein the ratio information indicates the ratio of M to N, M represents the number of trustworthinesses in at least one trustworthiness that are higher than the second trustworthiness threshold, or the number of trustworthinesses in at least one trustworthiness that are lower than the second trustworthiness threshold, and N represents the number of at least one trustworthiness.

[0444] Optionally, the ratio information may be included in the first performance monitoring result and / or the second monitoring result. It should be noted that including the ratio information in the first performance monitoring result and / or the second monitoring result can save signaling between the terminal and the network device.

[0445] It should be noted that the steps (e.g., S401 and S502) and the order in which the steps are performed in the above method embodiments are merely exemplary. In practical applications, based on actual needs, some steps can be added and / or some steps deleted from the above method embodiments to obtain new method embodiments, all of which fall within the scope of protection of this application.

[0446] The communication method of the embodiment of the present application has been described above. The device for executing the above method provided by the embodiment of the present application is described below. Those skilled in the art will understand that the method and device can be combined and referenced with each other, and the relevant device provided by the embodiment of the present application can perform the steps in the above list sorting method.

[0447] FIG10 is a schematic diagram of the structure of a communication device provided in an embodiment of the present application. The communication device 100 is provided in a terminal device and includes:

[0448] Receiving module 1001, used to obtain prediction configuration information;

[0449] The processing module 1002 is configured to predict a target event according to the prediction configuration information to obtain a cell prediction result corresponding to the target event.

[0450] The communication device 100 provided in the embodiment of the present application can execute the method steps executed by the terminal device in the above method embodiment. Its implementation principles and beneficial effects are similar and will not be repeated here.

[0451] In a possible implementation, the processing module 1002 is specifically configured to:

[0452] Obtaining measurement configuration information, where the measurement configuration information is used by the terminal device to perform mobility measurements corresponding to the target event;

[0453] Perform mobility measurement corresponding to the target event according to the measurement configuration information to obtain the cell measurement result;

[0454] The target event is predicted according to at least one of the prediction configuration information, the target event, and the cell measurement result, so as to obtain a cell prediction result corresponding to the target event.

[0455] In a possible implementation, the processing module 1002 is specifically configured to:

[0456] At least one of the prediction configuration information, the target event, and the cell measurement result is input into the prediction model, so that the prediction model outputs the cell prediction result.

[0457] In a possible implementation, the processing module 10 is specifically configured to:

[0458] inputting at least one of the prediction configuration information, the target event, and the cell measurement result into a prediction model, so that the prediction model outputs a first prediction result;

[0459] According to the first credibility threshold, the cell prediction result is determined in the first prediction result.

[0460] In one possible implementation, the prediction configuration information includes one or more of the following:

[0461] Prediction duration;

[0462] First credibility threshold;

[0463] Predict inter-frequency neighboring cell information;

[0464] Predict the number of neighboring areas;

[0465] Predict co-frequency neighboring cell information;

[0466] Predicting measurement event parameters, where the predicted measurement event parameters include one or more of hysteresis, threshold, and delay;

[0467] Among them, the predicted inter-frequency neighboring cell information, the predicted number of neighboring cells, and the predicted same-frequency neighboring cell information are all used to indicate the cell corresponding to the target event.

[0468] In a possible implementation, the cell corresponding to the target event includes a serving cell and / or a neighboring cell; and predicting the target event includes:

[0469] The prediction model predicts target events corresponding to the serving cell and / or neighboring cells within the prediction duration.

[0470] In a possible implementation, the cell corresponding to the target event is an inter-frequency neighboring cell; predicting the target event includes:

[0471] The prediction model predicts a target event corresponding to an inter-frequency neighboring cell, wherein the inter-frequency neighboring cell is indicated by predicting inter-frequency neighboring cell information, and the inter-frequency neighboring cell includes an inter-frequency neighboring cell of a serving cell and / or an inter-frequency neighboring cell of a neighboring cell.

[0472] In a possible implementation, the cell corresponding to the target event is a co-frequency neighboring cell; predicting the target event includes:

[0473] The prediction model predicts target events corresponding to the same-frequency surrounding neighboring cells, wherein the same-frequency surrounding neighboring cells are indicated by predicted same-frequency neighboring cell information.

[0474] In a possible implementation, the cell corresponding to the target event is a neighboring cell with the same coverage but different frequencies; predicting the target event includes:

[0475] The prediction model predicts the target events corresponding to the same-coverage hetero-frequency neighboring areas within the prediction period, wherein the same-coverage hetero-frequency neighboring areas are indicated by the predicted hetero-frequency neighboring area information, and the same-coverage hetero-frequency neighboring areas include the same-coverage hetero-frequency neighboring areas of the serving cell and / or the same-coverage hetero-frequency neighboring areas of the adjacent cells.

[0476] In a possible implementation, the cell corresponding to the target event is a co-frequency neighboring cell; predicting the target event includes:

[0477] The prediction model predicts the target event corresponding to the same-frequency neighboring area within the prediction period, where the same-frequency neighboring area is indicated by predicting the same-frequency neighboring area information, and the same-frequency neighboring area includes the same-frequency neighboring area of ​​the serving cell and / or the same-frequency neighboring area of ​​the adjacent cell.

[0478] In a possible implementation, the cell corresponding to the target event is an inter-frequency neighboring cell; predicting the target event includes:

[0479] The prediction model predicts the target event corresponding to the inter-frequency neighboring area, wherein the inter-frequency neighboring area includes the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the serving cell and / or the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the adjacent cell. The co-frequency neighboring area of ​​the serving cell and the co-frequency neighboring area of ​​the adjacent cell are indicated by predicting the co-frequency neighboring area information, and the inter-frequency neighboring area corresponding to the co-frequency neighboring area is indicated by predicting the inter-frequency neighboring area information.

[0480] In a possible implementation, the cell corresponding to the target event is an inter-frequency neighboring cell; predicting the target event includes:

[0481] The prediction model predicts the target event corresponding to the heterogeneous frequency neighboring area within the prediction period;

[0482] Among them, the heterofrequency neighboring areas include the heterofrequency neighboring areas corresponding to the co-frequency neighboring areas of the serving cell and / or the heterofrequency neighboring areas corresponding to the co-frequency neighboring areas of the adjacent cells. The co-frequency neighboring areas of the serving cell and the co-frequency neighboring areas of the adjacent cells are indicated by predicted co-frequency neighboring area information, the heterofrequency neighboring areas corresponding to the co-frequency neighboring areas are indicated by predicted heterofrequency neighboring area information, and at least one predicted moment is indicated by predicted configuration information.

[0483] In a possible implementation, the communication device 100 further includes:

[0484] The sending module 1003 is configured to send the cell prediction result to the network device.

[0485] In a possible implementation, the target event is event A1, event A2, event A3, event A4, or event A5.

[0486] In a possible implementation, the cell prediction result includes at least one event and / or at least one credibility corresponding to the at least one event;

[0487] The at least one event includes one or more of the following: event A1, event A2, event A3, event A4, and event A5.

[0488] It should be noted that the receiving module 1001 in the communication device 100 can also be used to receive performance monitoring information sent by the network device; the processing module 102 in the communication device 100 can also be used to send performance monitoring results to the network device through the sending module 1003 based on the performance monitoring information and the cell prediction results. The cell prediction results are obtained through the above-mentioned communication method.

[0489] In a possible implementation, the performance monitoring result includes a first performance monitoring result and / or a second performance monitoring result, the first performance monitoring result indicates that the cell prediction result is normal, and the second performance monitoring result indicates that the cell prediction result is abnormal.

[0490] In a possible implementation, the performance monitoring information is used to indicate monitoring configuration information and reporting condition information;

[0491] The monitoring configuration information is used to instruct the terminal device to perform mobility measurement to obtain a first event;

[0492] The reporting condition information is used to indicate the conditions satisfied by the first event and the second event in the cell prediction result when the terminal device sends the performance monitoring result, wherein the time when the first event is satisfied is the same as the time when the second event is satisfied.

[0493] In a possible implementation, the processing module 102 is specifically configured to:

[0494] Performing mobility measurement based on the performance monitoring information to obtain a first event;

[0495] Make a comparative judgment on the first incident and the second incident;

[0496] When the reporting condition information indicates that the first event and the second event are reported identically, the first performance monitoring result is sent to the network device through the sending module 1003; and / or when the reporting condition information indicates that the first event and the second event are reported differently, the second performance monitoring result is sent to the network device.

[0497] In a possible implementation manner, the first event and the second event are event A1, event A2, event A3, event A4, or event A5.

[0498] In a possible implementation, the performance monitoring information is used to indicate reporting condition information, where the reporting condition information indicates a condition for the terminal device to send the performance monitoring result;

[0499] The performance monitoring information is further used to indicate one or more of the following: a second credibility threshold, a first time period, and a first quantity.

[0500] In one possible implementation, the cell prediction result includes at least one credibility corresponding to at least one event; and the processing module 102 is configured to perform one or more of the following:

[0501] When the reporting condition information indicates that at least one credibility is lower than the second credibility threshold for reporting, the second performance monitoring result is sent to the network device through the sending module 1003;

[0502] When the reporting condition information indicates that at least one credibility is higher than the second credibility threshold reporting, the first performance monitoring result is sent to the network device through the sending module 1003;

[0503] When the reporting condition information indicates that the credibility within the first time period is lower than the second credibility threshold for reporting, the second performance monitoring result is sent to the network device through the sending module 1003, wherein the at least one credibility includes the credibility within the first time period;

[0504] When the reporting condition information indicates that a first number of consecutive credibility levels are lower than a second credibility threshold, the second performance monitoring result is sent to the network device via the sending module 1003 , where at least one credibility level includes the first number of credibility levels.

[0505] In a possible implementation, the at least one event includes one or more of the following: event A1, event A2, event A3, event A4, or event A5.

[0506] In a possible implementation, the sending module 1003 is further configured to:

[0507] Sending ratio information to the network device; wherein the ratio information indicates the ratio of M to N, M represents the number of credibility levels in at least one credibility level that is higher than the second credibility threshold, or the number of credibility levels in at least one credibility level that is lower than the second credibility threshold, and N represents the number of at least one credibility level.

[0508] FIG11 is a schematic diagram of the structure of another communication device provided in an embodiment of the present application. The communication device 110 is applied to a network device. As shown in FIG11 , the communication device 1100 includes:

[0509] The sending module 1101 is used to send prediction configuration information to the terminal device, where the prediction configuration information is used to instruct the terminal device to predict a target event.

[0510] In a possible implementation, the sending module 1101 is further configured to:

[0511] Send measurement configuration information to the terminal device, where the measurement configuration information is used by the terminal device to perform mobility measurement corresponding to the target event.

[0512] In one possible implementation, the prediction configuration information includes one or more of the following:

[0513] Prediction duration;

[0514] First credibility threshold;

[0515] Predict inter-frequency neighboring cell information;

[0516] Predict the number of neighboring areas;

[0517] Predict co-frequency neighboring cell information;

[0518] Predicting measurement event parameters, where the predicted measurement event parameters include one or more of hysteresis, threshold, and delay;

[0519] Among them, the predicted inter-frequency neighboring cell information, the predicted number of neighboring cells, and the predicted same-frequency neighboring cell information are all used to indicate the cell corresponding to the target event.

[0520] In a possible implementation, the target event is event A1, event A2, event A3, event A4, or event A5.

[0521] In a possible implementation, the communication device 110 further includes: a receiving module 1102 for receiving a cell prediction result corresponding to a target event sent by a terminal device.

[0522] In a possible implementation, the cell prediction result includes at least one event and / or at least one credibility corresponding to the at least one event;

[0523] The at least one event includes one or more of the following: event A1, event A2, event A3, event A4, and event A5.

[0524] It should be noted that the sending module 1101 in the communication device 110 is also used to send performance monitoring information to the terminal device; the receiving module 1102 in the communication device 110 is also used to receive the performance monitoring results sent by the terminal device based on the performance monitoring information and cell prediction results.

[0525] In a possible implementation, the performance monitoring result includes a first performance monitoring result and / or a second performance monitoring result, the first performance monitoring result indicates that the cell prediction result is normal, and the second performance monitoring result indicates that the cell prediction result is abnormal.

[0526] In a possible implementation, the performance monitoring information is used to indicate monitoring configuration information and reporting condition information;

[0527] The monitoring configuration information is used to instruct the terminal device to perform mobility measurement to obtain a first event;

[0528] The reporting condition information is used to indicate the conditions satisfied by the first event and the second event in the cell prediction result when the terminal device sends the performance monitoring result, wherein the time when the first event is satisfied is the same as the time when the second event is satisfied.

[0529] In a possible implementation manner, the reporting condition information is used to indicate one or more of the following:

[0530] The first and second incidents are reported as the same;

[0531] The first event and the second event are reported differently.

[0532] In a possible implementation, the performance monitoring information is used to indicate reporting condition information, where the reporting condition information indicates a condition for the terminal device to send the performance monitoring result;

[0533] The performance monitoring information is further used to indicate one or more of the following: a second credibility threshold, a first time period, and a first quantity.

[0534] In a possible implementation manner, the reporting condition information is used to indicate one or more of the following:

[0535] At least one credibility is reported below a second credibility threshold, wherein the at least one credibility is included in the cell prediction result;

[0536] At least one credibility is higher than the second credibility threshold for reporting;

[0537] The credibility within the first time period is lower than the second credibility threshold and reported, wherein the at least one credibility includes the credibility within the first time period;

[0538] A first number of consecutive credibility levels are reported to be lower than a second credibility threshold, wherein the at least one credibility level includes the first number of credibility levels.

[0539] In a possible implementation, the receiving module 1102 is further configured to:

[0540] Receive ratio information sent by the terminal device, where the ratio information indicates a ratio of M to N, where M represents the number of credibility levels in at least one credibility level that is higher than a second credibility threshold, or the number of credibility levels in at least one credibility level that is lower than the second credibility threshold, and N represents the number of at least one credibility level.

[0541] Based on the above embodiments, the structures of the terminal device and the network device are described below.

[0542] Figure 12 is a schematic diagram of the structure of a terminal device provided in an embodiment of the present application. As shown in Figure 12, the terminal device 120 may include: a memory 1201, a processor 1202, and a transceiver 1203. The transceiver 1203 may include: a transmitter and / or a receiver. The transmitter may also be referred to as a transmitter, a transmitter, an encoding port, a transmission interface, or similar descriptions, and the receiver may also be referred to as a receiver, a decoding port, a receiving interface, or similar descriptions. Exemplarily, the memory 1201, the processor 1202, and the transceiver 1203 are interconnected via a bus 1204.

[0543] The memory 1201 is used to store program instructions.

[0544] The processor 1202 is configured to execute the program instructions stored in the memory, so as to enable the terminal device to execute the method steps executed by the terminal device in the above method embodiment.

[0545] Figure 13 is a schematic diagram of the structure of a network device provided in an embodiment of the present application. As shown in Figure 13, network device 130 may include: memory 1301, processor 1302, and transceiver 1303. Transceiver 1303 may include: a transmitter and / or a receiver. The transmitter may also be referred to as a transmitter, transmitter, encoding port, transmission interface, or similar descriptions, and the receiver may also be referred to as a receiver, decoding port, receiving interface, or similar descriptions. Exemplarily, the memory 1301, processor 1302, and transceiver 1303 are interconnected via a bus 1304.

[0546] The memory 1301 is used to store program instructions.

[0547] The processor 1302 is configured to execute the program instructions stored in the memory, so as to enable the network device to execute the method steps executed by the network device in the above method embodiment.

[0548] It should be noted that the module names involved in the embodiments of the present application can be defined as other names as long as the functions of each module can be achieved, and there is no specific restriction on the names of the modules.

[0549] The embodiments of the present application also provide a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the above-mentioned method is implemented. The methods described in the above embodiments can be implemented in whole or in part by software, hardware, firmware, or any combination thereof. If implemented in software, the functions can be stored as one or more instructions or codes on a computer-readable medium or transmitted on a computer-readable medium. Computer-readable media can include computer storage media and communication media, and can also include any medium that can transfer a computer program from one place to another. The storage medium can be any target medium that can be accessed by a computer.

[0550] In one possible implementation, computer-readable media may include RAM, ROM, compact disc read-only memory (CD-ROM) or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium designed to carry or store the desired program code in the form of instructions or data structures and accessible by a computer. Moreover, any connection is appropriately referred to as a computer-readable medium. For example, if a coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL) or wireless technologies such as infrared, radio and microwave are used to transmit software from a website, server or other remote source, the coaxial cable, fiber optic cable, twisted pair, DSL or wireless technologies such as infrared, radio and microwave are included in the definition of medium. Disk and optical disk as used herein include optical disk, laser disk, optical disk, digital versatile disk (DVD), floppy disk and Blu-ray disk, where disks generally reproduce data magnetically, while optical disks reproduce data optically using lasers. Combinations of the above should also be included within the scope of computer-readable media.

[0551] The embodiment of the present application further provides a chip or chip system, the chip or chip system comprising: at least one processor and a communication interface; the communication interface and the at least one processor are interconnected via a line;

[0552] At least one processor is used to run a computer program or instruction to execute the communication method provided in the embodiment of the present application. Its implementation principle and technical effects are similar to those of the above-mentioned related embodiments and will not be repeated here.

[0553] The communication interface in the chip may be an input / output interface, a pin or a circuit, etc.

[0554] In one possible implementation, the chip or chip system described above in this application further includes at least one memory, in which instructions are stored. The memory may be a storage unit within the chip, such as a register, a cache, etc., or a storage unit of the chip (e.g., a read-only memory, a random access memory, etc.).

[0555] The present embodiment provides a computer program product, which includes a computer program. When the computer program is executed, the computer executes the communication method provided in the present embodiment. The implementation principle and technical effects are similar to those of the above-mentioned related embodiments and will not be repeated here.

[0556] The present application embodiment is described with reference to the flow chart and / or block diagram of the method, device (system) and computer program product according to the embodiment of the present application.It should be understood that each flow process and / or box in the flow chart and / or block diagram and the combination of the flow process and / or box in the flow chart and / or block diagram can be realized by computer program instructions.These computer program instructions can be provided to the processing unit of general-purpose computer, special-purpose computer, embedded processing machine or other programmable device to produce a machine, so that the instruction executed by the processing unit of computer or other programmable data processing device produces the device for realizing the function specified in one flow chart flow or multiple flows and / or one block or multiple blocks of block diagram.

[0557] The above specific implementation methods further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above are only specific implementation methods of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of the present invention should be included in the scope of protection of the present invention.

Claims

1. A communication method, characterized in that: Applied to a terminal device, the method includes: Get prediction configuration information; According to the prediction configuration information, a target event is predicted to obtain a cell prediction result corresponding to the target event.

2. The method according to claim 1, characterized in that The predicting a target event according to the prediction configuration information and obtaining a cell prediction result corresponding to the target event includes: Acquire measurement configuration information, where the measurement configuration information is used by the terminal device to perform mobility measurement corresponding to the target event; Performing mobility measurement corresponding to the target event according to the measurement configuration information to obtain a cell measurement result; The target event is predicted according to at least one of the prediction configuration information, the target event, and the cell measurement result, so as to obtain a cell prediction result corresponding to the target event.

3. The method according to claim 2, characterized in that The predicting the target event according to at least one of the prediction configuration information, the target event, and the cell measurement result to obtain a cell prediction result corresponding to the target event includes: At least one of the prediction configuration information, the target event, and the cell measurement result is input into a prediction model, so that the prediction model outputs the cell prediction result.

4. The method according to claim 2, characterized in that The predicting the target event according to at least one of the prediction configuration information, the target event, and the cell measurement result to obtain a cell prediction result corresponding to the target event includes: Inputting at least one of the prediction configuration information, the target event, and the cell measurement result into a prediction model, so that the prediction model outputs a first prediction result; The cell prediction result is determined in the first prediction results according to a first credibility threshold.

5. The method according to any one of claims 2 to 4, characterized in that: The prediction configuration information includes one or more of the following: Prediction duration; First credibility threshold; Predict inter-frequency neighboring cell information; Predict the number of neighboring areas; Predict co-frequency neighboring cell information; Predicting measurement event parameters, wherein the predicted measurement event parameters include one or more of hysteresis, threshold, and delay; The predicted inter-frequency neighboring cell information, the predicted number of neighboring cells, and the predicted intra-frequency neighboring cell information are all used to indicate the cell corresponding to the target event.

6. The method according to claim 5, characterized in that The cell corresponding to the target event includes a serving cell and / or a neighboring cell; and predicting the target event includes: The prediction model predicts the target event corresponding to the serving cell and / or the neighboring cell within the prediction time period.

7. The method according to claim 5, characterized in that The cell corresponding to the target event is an inter-frequency neighboring cell; and predicting the target event includes: The prediction model predicts the target event corresponding to the inter-frequency neighboring area, wherein the inter-frequency neighboring area is indicated by the predicted inter-frequency neighboring area information, and the inter-frequency neighboring area includes the inter-frequency neighboring area of ​​the serving cell and / or the inter-frequency neighboring area of ​​the adjacent cell.

8. The method according to claim 5, characterized in that The cell corresponding to the target event is a neighboring cell with the same frequency; The predicted target event includes: The prediction model predicts the target event corresponding to the same-frequency surrounding neighboring area, wherein the same-frequency surrounding neighboring area is indicated by the predicted same-frequency neighboring area information.

9. The method according to claim 5, characterized in that The cell corresponding to the target event is a neighboring cell with the same coverage but different frequencies; and the predicted target event includes: The prediction model predicts the target event corresponding to the same-coverage hetero-frequency neighboring area within the prediction time period, wherein the same-coverage hetero-frequency neighboring area is indicated by the predicted hetero-frequency neighboring area information, and the same-coverage hetero-frequency neighboring area includes the same-coverage hetero-frequency neighboring area of ​​the serving cell and / or the same-coverage hetero-frequency neighboring area of ​​the adjacent cell.

10. The method according to claim 5, characterized in that The cell corresponding to the target event is a co-frequency neighboring cell; and the predicted target event includes: The prediction model predicts the target event corresponding to the co-frequency neighboring area within the prediction time period, wherein the co-frequency neighboring area is indicated by the predicted co-frequency neighboring area information, and the co-frequency neighboring area includes the co-frequency neighboring area of ​​the serving cell and / or the co-frequency neighboring area of ​​the adjacent cell.

11. The method according to claim 5, characterized in that The cell corresponding to the target event is an inter-frequency neighboring cell; and the predicted target event includes: The prediction model predicts the target event corresponding to the inter-frequency neighboring area, wherein the inter-frequency neighboring area includes the inter-frequency neighboring area corresponding to the same-frequency neighboring area of ​​the serving cell and / or the inter-frequency neighboring area corresponding to the same-frequency neighboring area of ​​the adjacent cell, the same-frequency neighboring area of ​​the serving cell and the same-frequency neighboring area of ​​the adjacent cell are indicated by the predicted same-frequency neighboring area information, and the inter-frequency neighboring area corresponding to the same-frequency neighboring area is indicated by the predicted inter-frequency neighboring area information.

12. The method according to claim 5, characterized in that The cell corresponding to the target event is an inter-frequency neighboring cell; and the predicted target event includes: The prediction model predicts the target event corresponding to the heterofrequency neighboring cell within the prediction time period; Among them, the inter-frequency neighboring area includes the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the serving cell and / or the inter-frequency neighboring area corresponding to the co-frequency neighboring area of ​​the adjacent cell. The co-frequency neighboring area of ​​the serving cell and the co-frequency neighboring area of ​​the adjacent cell are indicated by the predicted co-frequency neighboring area information, the inter-frequency neighboring area corresponding to the co-frequency neighboring area is indicated by the predicted inter-frequency neighboring area information, and the at least one predicted moment is indicated by the predicted configuration information.

13. The method according to any one of claims 1 to 12, characterized in that The method further comprises: Send the cell prediction result to the network device.

14. The method according to any one of claims 1 to 13, characterized in that The target event is event A1, event A2, event A3, event A4 or event A5.

15. The method according to any one of claims 1 to 14, characterized in that The cell prediction result includes at least one event and / or at least one credibility corresponding to at least one event; The at least one event includes one or more of the following: event A1, event A2, event A3, event A4, and event A5.

16. A communication method, characterized in that: Applied to a terminal device, the method includes: Receive performance monitoring information sent by network devices; The performance monitoring result is sent to the network device according to the performance monitoring information and the cell prediction result, wherein the cell prediction result is obtained by the method according to any one of claims 1 to 15 above.

17. The method according to claim 16, characterized in that The performance monitoring result includes a first performance monitoring result and / or a second performance monitoring result, the first performance monitoring result indicates that the cell prediction result is normal, and the second performance monitoring result indicates that the cell prediction result is abnormal.

18. The method according to claim 17, characterized in that The performance monitoring information is used to indicate monitoring configuration information and reporting condition information; The monitoring configuration information is used to instruct the terminal device to perform mobility measurement to obtain a first event; The reporting condition information is used to indicate the conditions satisfied by the first event and the second event in the cell prediction result when the terminal device sends the performance monitoring result, wherein the time when the first event is satisfied is the same as the time when the second event is satisfied.

19. The method according to claim 18, characterized in that The sending the performance monitoring result to the network device according to the performance monitoring information and the cell prediction result includes: Performing mobility measurement based on the performance monitoring information to obtain a first event; performing a comparative judgment on the first event and the second event; When the reporting condition information indicates that the first event and the second event are reported identically, a first performance monitoring result is sent to the network device; and / or, when the reporting condition information indicates that the first event and the second event are reported differently, a second performance monitoring result is sent to the network device.

20. The method according to claim 18 or 19, characterized in that The first event and the second event are event A1, event A2, event A3, event A4 or event A5.

21. The method according to claim 17, wherein The performance monitoring information is used to indicate reporting condition information, and the reporting condition information indicates the conditions under which the terminal device sends the performance monitoring result; The performance monitoring information is further used to indicate one or more of the following: a second credibility threshold, a first time period, and a first quantity.

22. The method according to claim 21, characterized in that The cell prediction result includes at least one credibility corresponding to at least one event; The sending of the performance monitoring result to the network device according to the performance monitoring information includes one or more of the following: When the reporting condition information indicates that the at least one credibility is lower than the second credibility threshold reporting, sending the second performance monitoring result to the network device; When the reporting condition information indicates that the at least one credibility is higher than the second credibility threshold reporting, sending the first performance monitoring result to the network device; When the reporting condition information indicates that the credibility within the first time period is lower than the second credibility threshold reporting, sending the second performance monitoring result to the network device, wherein the at least one credibility includes the credibility within the first time period; When the reporting condition information indicates that the first number of consecutive credibility levels are lower than the second credibility threshold, the second performance monitoring result is sent to the network device, where the at least one credibility level includes the first number of credibility levels.

23. The method according to claim 22, characterized in that The at least one event includes one or more of the following: event A1, event A2, event A3, event A4 or event A5.

24. The method according to claim 22 or 23, characterized in that The method further comprises: Sending ratio information to the network device; wherein the ratio information indicates a ratio of M to N, wherein M represents the number of trustworthinesses in the at least one trustworthiness that are higher than the second trustworthiness threshold, or the number of trustworthinesses in the at least one trustworthiness that are lower than the second trustworthiness threshold, and N represents the number of the at least one trustworthiness.

25. A communication method, characterized in that: Applied to a network device, the method includes: Prediction configuration information is sent to a terminal device, where the prediction configuration information is used to instruct the terminal device to predict a target event.

26. The method according to claim 25, characterized in that The method further comprises: Send measurement configuration information to the terminal device, where the measurement configuration information is used by the terminal device to perform mobility measurement corresponding to a target event.

27. The method according to claim 25 or 26, characterized in that The prediction configuration information includes one or more of the following: Prediction duration; First credibility threshold; Predict inter-frequency neighboring cell information; Predict the number of neighboring areas; Predict co-frequency neighboring cell information; Predicting measurement event parameters, wherein the predicted measurement event parameters include one or more of hysteresis, threshold, and delay; The predicted inter-frequency neighboring cell information, the predicted number of neighboring cells, and the predicted intra-frequency neighboring cell information are all used to indicate the cell corresponding to the target event.

28. The method according to any one of claims 25 to 27, characterized in that The target event is event A1, event A2, event A3, event A4 or event A5.

29. The method according to any one of claims 25 to 27, characterized in that The method further comprises: Receive the cell prediction result corresponding to the target event sent by the terminal device.

30. The method according to claim 29, wherein The cell prediction result includes at least one event and / or at least one credibility corresponding to the at least one event; The at least one event includes one or more of the following: event A1, event A2, event A3, event A4, and event A5.

31. A communication method, characterized in that: Applied to a network device, the method includes: Send performance monitoring information to terminal devices; The receiving terminal device sends a performance monitoring result based on the performance monitoring information and the cell prediction result, wherein the cell prediction result is obtained by the method described in any one of claims 1 to 15 above.

32. The method according to claim 31, characterized in that The performance monitoring result includes a first performance monitoring result and / or a second performance monitoring result, the first performance monitoring result indicates that the cell prediction result is normal, and the second performance monitoring result indicates that the cell prediction result is abnormal.

33. The method according to claim 31 or 32, characterized in that The performance monitoring information is used to indicate monitoring configuration information and reporting condition information; The monitoring configuration information is used to instruct the terminal device to perform mobility measurement to obtain a first event; The reporting condition information is used to indicate the conditions satisfied by the first event and the second event in the cell prediction result when the terminal device sends the performance monitoring result, wherein the time when the first event is satisfied is the same as the time when the second event is satisfied.

34. The method according to claim 33, wherein The reporting condition information is used to indicate one or more of the following: The first event and the second event are reported in the same manner; The first event and the second event are reported differently.

35. The method according to claim 31 or 32, characterized in that The performance monitoring information is used to indicate reporting condition information, and the reporting condition information indicates the conditions under which the terminal device sends the performance monitoring result; The performance monitoring information is further used to indicate one or more of the following: a second credibility threshold, a first time period, and a first quantity.

36. The method according to claim 35, characterized in that The reporting condition information is used to indicate one or more of the following: At least one credibility is reported below the second credibility threshold, wherein at least one credibility is included in the cell prediction result; The at least one credibility is higher than the second credibility threshold for reporting; The credibility within the first time period is lower than the second credibility threshold for reporting, wherein the at least one credibility includes the credibility within the first time period; The first number of consecutive credibility levels are lower than the second credibility threshold and reported, wherein the at least one credibility level includes the first number of credibility levels.

37. The method according to claim 36, wherein The method further comprises: Receive proportion information sent by the terminal device, where the proportion information indicates a ratio of M to N, where M represents the number of credibility levels in the at least one credibility level that are higher than the second credibility threshold, or the number of credibility levels in the at least one credibility level that are lower than the second credibility threshold, and N represents the number of the at least one credibility level.

38. A terminal device, characterized in that: include: processor and memory; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the terminal device performs the method according to any one of claims 1 to 24.

39. A network device, characterized in that: include: processor and memory; The memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory, so that the network device performs the method according to any one of claims 25 to 37.

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