Wireless communication method and wireless communication device

Abstract

Embodiments of the present application provide a wireless communication method and a wireless communication device. The method is executed by a user equipment (UE), and comprises: sending, to a base station by means of signaling, handover failure prediction information predicted by the UE on the basis of an Artificial Intelligence / Machine Learning (AI / ML) model, wherein the handover failure prediction information comprises one or more of the following pieces of information: a prediction identifier (ID), AI / ML model ID information, a handover failure type, target cell information, a handover failure validity time, handover failure accuracy, accuracy of the handover failure validity time, a predicted service interruption time, and a radio resource management (RRM) measurement result at the previous handover failure occurrence moment.

Description

Wireless communication method and wireless communication device Technical Field

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

[0002] In existing technologies, artificial intelligence / machine learning (AI / ML) is a system that can replace human labor through computational learning. AI / ML can be used to solve various problems, such as natural language processing, computing, and graphics processing. In recent years, AI / ML has been applied in the communications field. However, there are unresolved issues regarding the application of AI / ML in communications to enhance mobility. Therefore, there is a need to propose a wireless communication method and wireless communication device to address these and other issues in existing technologies.

[0003] Summary of the Invention

[0004] Embodiments of the present application provide a wireless communication method and a wireless communication device.

[0005] A wireless communication method provided in an embodiment of the present application is executed on a user equipment (UE), wherein the method includes: sending handover failure prediction information predicted by the UE based on an artificial intelligence / machine learning (AI / ML) model to a base station through signaling, wherein the handover failure prediction information includes one or more of the following information: a prediction identifier (ID), AI / ML model ID information, handover failure type, target cell information, handover failure validity time, handover failure accuracy, handover failure validity time accuracy, predicted service interruption time, and radio resource management (RRM) measurement results at the time of the last handover failure.

[0006] Through the above technical solution, the UE sends the handover failure prediction information predicted by the UE based on the AI / ML model to the base station. In this way, the AI / ML algorithm can be used to predict the UE handover failure, thereby better allocating wireless resources and mobility management for the UE.

[0007] An embodiment of the present application provides a method for wireless communication, which is executed on a base station, wherein the method includes: receiving handover failure prediction information based on artificial intelligence / machine learning (AI / ML) model prediction sent by user equipment (UE) through signaling, wherein the handover failure prediction information includes one or more of the following information: a prediction identifier (ID), AI / ML model ID information, handover failure type, target cell information, handover failure validity time, handover failure accuracy, handover failure validity time accuracy, predicted service interruption time, and radio resource management (RRM) measurement results at the time when the last handover failure occurred.

[0008] Through the above technical solution, the base station receives the handover failure prediction information sent by the UE based on the AI / ML model prediction. In this way, the AI / ML algorithm can be used to predict the UE handover failure, thereby better allocating wireless resources and mobility management for the UE.

[0009] A wireless communication device provided in an embodiment of the present application includes: a processor and a memory, the memory being used to store a computer program, and the processor being used to call and run the computer program stored in the memory to execute the above-mentioned wireless communication method.

[0010] The user equipment provided in the embodiment of the present application includes a processor and a memory. The memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to perform the above-mentioned wireless communication method.

[0011] The base station provided in the embodiment of the present application includes a processor and a memory. The memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to perform the above-mentioned wireless communication method.

[0012] The network element provided in the embodiment of the present application includes a processor and a memory. The memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to perform the above-mentioned wireless communication method.

[0013] The chip provided in the embodiment of the present application is used to implement the above-mentioned wireless communication method.

[0014] Specifically, the chip includes: a processor, which is used to call and run a computer program from a memory, so that a device equipped with the chip executes the above-mentioned wireless communication method.

[0015] The computer-readable storage medium provided in an embodiment of the present application is used to store a computer program, which enables a computer to execute the above-mentioned wireless communication method.

[0016] The computer program product provided in the embodiments of the present application includes computer program instructions, which enable a computer to execute the above-mentioned wireless communication method.

[0017] The computer program provided in the embodiment of the present application, when executed on a computer, enables the computer to execute the above-mentioned method for wireless communication.

[0018] Through the above technical solution, the UE sends the handover failure prediction information based on the AI / ML model to the base station. The base station receives the handover failure prediction information based on the AI / ML model sent by the UE. In this way, the AI / ML algorithm can be used to predict UE handover failure, thereby better allocating radio resources and mobility management for the UE. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0020] FIG1 is a schematic diagram of a wireless communication system architecture provided in an embodiment of the present application;

[0021] FIG2A is a schematic diagram of a flow chart of a wireless communication method provided in an embodiment of the present application;

[0022] FIG2B is a schematic flow chart of a wireless communication method according to an embodiment of the present application;

[0023] FIG3A is a schematic diagram of an example scenario of a too-early switching type;

[0024] FIG3B is a schematic diagram of an example scenario of a too late switching type;

[0025] FIG3C is a schematic diagram of an example scenario of switching to an incorrect cell type;

[0026] FIG3D is a schematic diagram of an example scenario of a ping-pong switching type;

[0027] FIG4 is a schematic diagram of a flow chart of a wireless communication method provided in an embodiment of the present application;

[0028] FIG5A is a schematic flow chart of a wireless communication method according to an embodiment of the present application;

[0029] FIG5B is a schematic diagram of a flow chart of a wireless communication method provided in an embodiment of the present application;

[0030] FIG5C is a schematic diagram of a flow chart of a wireless communication method provided in an embodiment of the present application;

[0031] FIG5D is a schematic diagram of a flow chart of a wireless communication method provided in an embodiment of the present application;

[0032] FIG5E is a schematic flow chart of a wireless communication method according to an embodiment of the present application;

[0033] FIG5F is a schematic flow chart of a wireless communication method according to an embodiment of the present application;

[0034] FIG6A is a schematic diagram of a flow chart of a wireless communication method provided in an embodiment of the present application;

[0035] FIG6B is a schematic flow chart of a wireless communication method according to an embodiment of the present application;

[0036] FIG6C is a schematic diagram of a flow chart of a wireless communication method provided in an embodiment of the present application;

[0037] FIG6D is a schematic flow chart of a wireless communication method according to an embodiment of the present application;

[0038] FIG6E is a schematic flow chart of a wireless communication method according to an embodiment of the present application;

[0039] FIG7A is a schematic diagram of a flow chart of a wireless communication method provided in an embodiment of the present application;

[0040] FIG7B is a schematic flow chart of a wireless communication method according to an embodiment of the present application;

[0041] FIG7C is a schematic flow chart of a wireless communication method according to an embodiment of the present application;

[0042] FIG8 is a schematic structural diagram of a wireless communication device provided in an embodiment of the present application;

[0043] FIG9 is a schematic structural diagram of a chip according to an embodiment of the present application;

[0044] FIG10 is a schematic block diagram of a wireless communication system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] The following will describe the technical solutions in the embodiments of this application in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0046] The technical solutions of the embodiments of the present application can be applied to various wireless communication systems, such as: Long Term Evolution (LTE) system, LTE Frequency Division Duplex (FDD) system, LTE Time Division Duplex (TDD) system, 5G communication system or future wireless communication systems, etc.

[0047] Exemplarily, a wireless communication system 100 used in an embodiment of the present application is shown in FIG1 . The wireless communication system 100 may include a base station 110, which may be a device that communicates with a user equipment 120 (User Equipment, UE). The base station 110 may provide communication coverage for a specific geographical area and may communicate with user equipment located within the coverage area. Optionally, the base station 110 may be an evolved base station (eNB or eNodeB) in an LTE system, or the base station may be a mobile switching center, a relay station, an access point, an in-vehicle device, a wearable device, a hub, a switch, a bridge, a router, a network-side device in a 5G network, or a base station in a future communication system, etc.

[0048] The wireless communication system 100 also includes at least one user equipment 120 located within the coverage area of ​​the base station 110. As used herein, "user equipment" includes, but is not limited to, a device configured to receive / send communication signals via a wired connection, such as a Public Switched Telephone Network (PSTN), a Digital Subscriber Line (DSL), a digital cable, a direct cable connection; and / or another data connection / network; and / or via a wireless interface, such as a cellular network, a Wireless Local Area Network (WLAN), a digital television network such as a DVB-H network, a satellite network, an AM-FM broadcast transmitter; and / or another user equipment; and / or an Internet of Things (IoT) device. A user equipment configured to communicate via a wireless interface may be referred to as a "wireless communication terminal," "wireless terminal," or "mobile terminal." Examples of mobile terminals include, but are not limited to, satellite or cellular telephones; Personal Communications System (PCS) terminals that can combine cellular radiotelephones with data processing, fax, and data communication capabilities; PDAs that can include radiotelephones, pagers, Internet / Intranet access, web browsers, notepads, calendars, and / or Global Positioning System (GPS) receivers; and conventional laptop and / or palmtop receivers or other electronic devices that include radiotelephone transceivers. User equipment can refer to access terminals, subscriber units, subscriber stations, mobile stations, mobile stations, remote stations, remote user equipment, mobile devices, wireless communication devices, or user agents. An access terminal 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 capabilities, a computing device or other processing device connected to a wireless modem, an in-vehicle device, a wearable device, a user device in a 5G network, or a user device in a future evolved PLMN, etc.

[0049] In some embodiments of the present invention, the user equipment 120 sends the handover failure prediction information predicted by the user equipment 120 based on an artificial intelligence / machine learning (AI / ML) model to the base station 110. In this way, the AI / ML algorithm can be used to predict the UE handover failure of the user equipment 120, thereby better allocating radio resources and mobility management for the user equipment 120.

[0050] In some embodiments of the present invention, base station 110 receives the handover failure prediction information based on artificial intelligence / machine learning (AI / ML) model prediction sent by user equipment 120. In this way, UE handover failure of user equipment 120 can be predicted through the AI / ML algorithm, thereby better allocating radio resources and mobility management for user equipment 120.

[0051] Specifically, Artificial Intelligence (AI) and Machine Learning (ML) are two systems that can replace human labor through computational learning. ML can be used to solve various problems, such as natural human language processing, computing, graphics processing, and so on. In recent years, AI / ML has been applied in the field of communications. In communications technology, mobility enhancement is a research and discussion direction, such as Mobility Robustness Optimization (MRO). If AI is applied to mobility enhancement, UE handover (HO) failure can be predicted through AI algorithms, thereby better allocating wireless resources and mobility management to UE.

[0052] Optionally, the user equipments 120 may perform device-to-device (D2D) communication with each other.

[0053] Optionally, the 5G communication system or 5G network may also be referred to as a New Radio (NR) system or NR network.

[0054] The wireless communication system 100 also includes a network 130. Network 130 may be an IP mobile communication network operated by a mobile communication operator. For example, network 130 may be a core network used by a mobile communication operator that operates and manages the wireless communication system 100, or a core network used by a virtual mobile communication operator such as an MVNO (Mobile Virtual Network Operator).

[0055] The network 130 can be connected to the base station 110 and serve as a relay device for transmitting user data. The user equipment 120 transmits and receives user data via the network 130. It should be noted that the communication of user data is not limited to IP communication and can also be non-IP communication.

[0056] FIG1 exemplarily shows a base station 110 , two user equipments 120 and a network 130 . Optionally, the wireless communication system 100 may include multiple base stations and each base station may include other numbers of user equipments within its coverage area, which is not limited in the embodiments of the present application.

[0057] The multiple base stations may be, for example, a first base station and a second base station. The first base station may be, for example, a source base station (source gNB). The second base station may be, for example, a target base station (target base station). In some embodiments of the present invention, the first base station receives a UE handover failure report sent by the second base station. In this manner, an AI / ML algorithm may be used to predict a UE handover failure of user equipment 120, thereby improving radio resource allocation and mobility management for user equipment 120.

[0058] Mobility enhancement solutions in AI / ML scenarios can effectively resolve issues such as UE handover failures, thereby improving user experience and increasing the probability of successful handovers. In particular, the source base station can better predict UE handover failures and optimize the handover algorithm, while the target base station can better reserve resources for the UE.

[0059] Optionally, the wireless communication system 100 may further include other network entities such as a network controller, a mobility management entity, and a network element, which is not limited in this embodiment of the present application. For example, the network 130 may include other network entities such as a network controller, a mobility management entity, and a network element, which is not limited in this embodiment of the present application.

[0060] It should be understood that in the embodiments of the present application, a device having wireless communication capabilities in a network / system may be referred to as a wireless communication device. Taking the wireless communication system 100 shown in Figure 1 as an example, the wireless communication device may include a base station 110 having communication capabilities, a user device 120, and a network 130. The base station 110 and the user device 120 may be the specific devices described above and will not be described in detail here. The wireless communication device may also include other devices (network 130) in the wireless communication system 100. For example, the network 130 may include other network entities such as a network controller and a mobility management entity, which is not limited in the embodiments of the present application.

[0061] It should be understood that the terms "system" and "network" are often used interchangeably herein. The term "and / or" is simply a description of an association between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " generally indicates that the related objects are in an "or" relationship.

[0062] To facilitate understanding of the technical solutions of the embodiments of the present application, the technical solutions related to the embodiments of the present application are described below.

[0063] First embodiment: The UE reports the handover failure prediction information (predicted HO failure information) predicted by the UE based on the AI / ML model.

[0064] The first embodiment can also be implemented independently. In some embodiments of the present application, the first embodiment and the third embodiment can also be implemented in the order of the first embodiment and the third embodiment. In some embodiments of the present application, the second embodiment, the first embodiment, and the third embodiment can also be implemented in the order of the fourth embodiment, the second embodiment, the first embodiment, and the third embodiment.

[0065] FIG2A is a flow chart of a wireless communication method provided in an embodiment of the present application. As shown in FIG2A , the wireless communication method is executed on a user equipment (UE) and includes at least one of the following operations: Operation 201A: Sending handover failure prediction information predicted by the UE based on an AI / ML model to a base station via signaling. The handover failure prediction information includes one or more of the following information: a prediction identifier (ID), AI / ML model ID information, handover failure type, target cell information, handover failure validity time, handover failure accuracy, handover failure validity time accuracy, predicted service interruption time, and radio resource management (RRM) measurement results at the time of the last handover failure.

[0066] FIG2B is a flow chart of a wireless communication method provided in an embodiment of the present application. As shown in FIG2B , the wireless communication method is executed in a base station and includes at least one of the following operations: Operation 201B: receiving handover failure prediction information based on AI / ML model prediction sent by a UE through signaling. The handover failure prediction information includes one or more of the following information: prediction ID, AI / ML model ID information, handover failure type, target cell information, handover failure validity time, handover failure accuracy, handover failure validity time accuracy, predicted service interruption time, and RRM measurement results at the time of the last handover failure.

[0067] Specifically, the UE is, for example, user equipment 120 shown in Figure 1. The base station is, for example, base station 110 shown in Figure 1. Base station 110 is, for example, a gNB. For example, in some embodiments of the present application, the UE transmits handover failure prediction information, which is predicted by the UE based on an AI / ML model, to the base station via signaling. In this way, the AI / ML algorithm can predict UE handover failure for user equipment 120, thereby improving radio resource allocation and mobility management for user equipment 120. This can also solve existing technical problems, such as handover failure and the lack of handover failure prediction in existing mechanisms.

[0068] The following examples illustrate the reasons why the existing mechanism fails to switch and why the existing mechanism does not predict the failure of switching.

[0069] Causes of switch failure:

[0070] Configuration of event-triggered measurements according to TS38.331:

[0071] As shown in the measurement configuration in 38.331 above, when the UE meets the conditions for a measurement event, it periodically reports data. The period is configured by the parameter ReportInterval. However, the ReportInterval period may be configured improperly, ranging from as low as 120ms to as high as 30 minutes. Furthermore, when the UE meets the conditions for a leaving measurement event, the gNB can also configure the UE to report the leaving measurement event. The gNB does not necessarily make a handover decision immediately upon receiving the UE measurement event. Instead, it considers multiple factors, including the current network load, to determine whether to handover the UE. Therefore, the gNB does not know the UE's latest measurement results at the moment of handover.

[0072] If the UE is capable of predicting handover failure, this is a UE-side model. The UE expects feedback from the network to update and retrain its own model. The UE itself knows whether a handover failure has occurred, so there's no need to notify the UE of the failure. However, the network may successfully adjust handover parameters to avoid the failure. In this case, the network can notify the UE that the handover parameters have been adjusted; or if a handover failure has occurred, the network can inform the UE of the handover parameters at the time of the failure.

[0073] On the other hand, if model training is done on the network side, then all parties need to provide handover failure parameters to the source gNB. This includes the UE, target gNB, and even intermediate gNBs.

[0074] The existing mechanism does not switch failure prediction:

[0075] After the introduction of AI, the UE will use the AI ​​model for inference and measure the future mobility parameters (inference output). Therefore, it is necessary to modify the protocol signaling for the UE to report future mobility parameters. The existing mechanism does not support inference results. The reporting of switching failure predictions can help the network side predict switching failures in advance, so as to make more accurate switching failures based on the switching failure type provided by the UE and avoid the recurrence of switching failures. On the other hand, when a switching failure occurs, the UE can send the switching failure event as a key performance indicator (KPI) to the network, so as to better train the model.

[0076] In some embodiments of the present application, the first message includes radio resource management (RRM) signaling, radio resource control (RRC) signaling, or UE assistance information. In some embodiments of the present application, the handover failure type includes a too early handover type, a too late handover type, a handover to a wrong cell type, or a ping-pong handover type.

[0077] Specifically, in some embodiments of the present application, when a UE enters a first cell, the UE predicts that each handover to a second cell will likely result in a handover failure. The UE also knows the type of handover failure, such as a too-early handover, a too-late handover, a handover to an incorrect cell, or a ping-pong handover.

[0078] The following examples illustrate these four types of handover failure scenarios.

[0079] 1. Switching types too early:

[0080] FIG3A is a schematic diagram of an example scenario of a too-early handover type. As shown in FIG3A , in the example scenario of the too-early handover type, the serving cell makes a too-early handover decision, causing the user equipment 120 to switch to the target cell (the second cell 320) before it has reached the appropriate signal quality requirements to meet the target cell. At this time, the user equipment 120 has already disconnected from the source cell (the first cell 310). The user equipment 120 then initiates a radio resource control (RRC) reestablishment and is reestablished in the source cell.

[0081] 2. Switching types too late:

[0082] FIG3B illustrates an example scenario of a too-late handover type. As shown in FIG3B , the serving cell makes a too-late handover decision, causing the user equipment 120 to reach the appropriate signal quality requirements for the target cell (second cell 320) long before it is switched to the target cell. As a result, the signal quality with the source cell (first cell 310) is so poor that the connection is disconnected, and the user equipment 120 has not yet switched. At this point, the user equipment 120 has already been disconnected from the source cell. The user equipment 120 then initiates RRC reestablishment and is reestablished in the target cell.

[0083] 3. Switching to the wrong cell type:

[0084] FIG3C illustrates an example scenario of a handover to an incorrect cell type. As shown in FIG3C , user equipment 120 is handed over from a serving cell (first cell 310) to a third cell 330, followed by a radio link failure (RLF). User equipment 120 then initiates RRC reestablishment, resulting in reestablishment in second cell 320.

[0085] 4. Ping-pong switching type:

[0086] FIG3D is a schematic diagram of an example scenario of a ping-pong handover type. As shown in FIG3D , the user equipment 120 switches from the serving cell (the first cell 310 ) to the second cell 320 , and then switches back to the first cell 310 in a very short time.

[0087] Figure 4 is a flow chart of a method for wireless communication provided in an embodiment of the present application. In some embodiments of the present application, the user equipment 120 sends switching failure prediction information to the base station 110 through radio resource control (RRC) signaling, wherein the switching failure prediction information includes one or more of the following information: prediction ID, AI / ML model ID information, switching failure type, target cell information, switching failure validity time, switching failure accuracy, accuracy of switching failure validity time, predicted service interruption time, and RRM measurement results at the time when the last switching failure occurred, as described in detail below.

[0088] Prediction ID: In some embodiments of the present application, this information is used to indicate a prediction ID. In some embodiments of the present application, the prediction ID is used to indicate the handover failure prediction corresponding to the UE handover failure report. In other words, the prediction ID is used to indicate which handover failure prediction the UE handover failure report is for.

[0089] AI / ML model ID information: In some embodiments of the present application, the AI / ML model ID information is used to indicate the AI / ML model used by the user equipment 120. The AI / ML model ID information includes one or more of the following information: model ID, functionality ID, feature ID, and RRC configuration ID. The user equipment 120 uses the AI / ML model ID information to inform the base station 110 which AI / ML model was used to predict the result.

[0090] Handover Failure Type: In some embodiments of the present application, this information indicates the handover failure type. In some embodiments of the present application, the handover failure type includes a too-early handover type, a too-late handover type, a handover to an incorrect cell type, or a ping-pong handover type. The too-early handover type carries a target cell ID, which indicates the target cell predicted to experience a too-early handover failure. The too-late handover type carries a target cell ID, which indicates the target cell predicted to experience a too-late handover failure. The handover to incorrect cell type carries one or more of the following information: a predicted incorrect cell ID, a predicted correct cell ID, correct cell handover conditions, and an incorrect cell handover failure condition. The predicted incorrect cell ID indicates a cell that will experience a radio link failure (RLF) immediately after handover, and the predicted correct cell ID indicates a cell that will be reestablished after the RLF occurs. The ping-pong handover type carries a target cell ID, which indicates the target cell predicted to experience a ping-pong handover failure. Specifically, the handover failure result predicted by the user equipment 120 may be a too-early handover type, a too-late handover type, a handover to an incorrect cell type, or a ping-pong handover type. For the too early handover type, the target cell ID needs to be carried, which means the target cell where the last too early handover occurred or where too early handover frequently occurs. For the too late handover type, the target cell ID needs to be carried, which means the target cell where the last too late handover occurred or where too late handover frequently occurs.

[0091] Target cell information: In some embodiments of the present application, this information is used to indicate information about the target cell. In some embodiments of the present application, the target cell information is used to indicate information about the cell in which the user equipment 120 predicts a handover failure. The target cell information includes one or more of the following information: the ID and frequency of the cell in which the handover failed, and the synchronization signal block (SSB) index in which the handover failed.

[0092] Switching failure validity time: In some embodiments of the present application, the switching failure validity time is used to indicate the time range in which the switching failure occurs, and the switching failure validity time is expressed in time as a start time and an end time, or the switching failure validity time is expressed in time as a start time and a duration. The switching failure validity time is used to indicate the predicted time point in which the switching failure occurs. For example, the switching failure validity time is used to indicate that the switching failure is predicted to occur in 10 seconds. In some embodiments of the present application, the switching failure validity time is used to describe the effective time corresponding to the occurrence of the switching failure. The base station 110 considers that the switching failure predicted by the user equipment 120 is only valid within this time period, that is, the switching failure event is predicted to occur within this time period.

[0093] Handover Failure Accuracy: In some embodiments of this application, this information is used to describe the accuracy of handover failure predictions. In some embodiments of this application, the handover failure accuracy is used to indicate a predicted probability of handover failure. Specifically, the handover failure accuracy is a predicted probability of handover failure, such as 10%, 20%, etc.

[0094] Accuracy of the switching failure validity time: In some embodiments of the present application, the accuracy of the switching failure validity time is used to represent the error of the predicted time. Specifically, the description method of the error of the predicted event may be a time error of 1 second, 2 seconds, etc., or it may be an incremental error of the future time such as 10% or 20%. For example, if the predicted time for the switching failure is 10 seconds to 15 seconds, then if the description method is a time error of 1 second, 2 seconds, etc., it will be 11 seconds to 16 seconds, 12 seconds to 17 seconds. If the percentage error is 10%, then it is an error of 11 seconds to 16.5 seconds. This error may be a separate description of the start time (start time) and end time (end time) of the validity time (validation time) (i.e., different errors for the start time and the end time), or it may be a unified description (i.e., the same error for the start time and the end time).

[0095] Predicted service interruption time: In some embodiments of the present application, the predicted service interruption time is used to represent the time interval from the occurrence of a handover failure to the final re-establishment of network access and service. In other words, the predicted service interruption time is used to represent the time interval between the occurrence of a handover failure and the re-establishment of network access and service for the user equipment 120.

[0096] RRM measurement result at the time of the last switching failure: In some embodiments of the present application, the RRM measurement result of the last switching failure is used to represent the RRM measurement result reported before the last switching failure occurred.

[0097] Second embodiment: Conditions for triggering handover failure prediction reporting.

[0098] The second embodiment can also be implemented independently. In some embodiments of this application, the second embodiment and the first embodiment can be implemented in the order of the second embodiment and the first embodiment. In some embodiments of this application, the second embodiment, the first embodiment, and the third embodiment can be implemented in the order of the fourth embodiment, the second embodiment, the first embodiment, and the third embodiment.

[0099] FIG5A is a flow chart illustrating a wireless communication method according to an embodiment of the present application. As shown in FIG5A , the wireless communication method, executed on a user equipment (UE), includes at least one of the following operations: Operation 501A: Configuring conditions for triggering handover failure prediction reporting. Operation 502A: Reporting a handover failure prediction to a base station based on the conditions for triggering handover failure prediction reporting.

[0100] Figure 5B is a flow chart of the wireless communication method provided in an embodiment of the present application. As shown in Figure 5B, the wireless communication method is executed in the base station and includes at least one of the following operations: Operation 501B: receiving the switching failure prediction reported by the UE, and the switching failure prediction is based on the conditions for triggering the switching failure prediction reporting.

[0101] Specifically, the UE is, for example, user equipment 120 shown in Figure 1. The base station is, for example, base station 110 shown in Figure 1. Base station 110 is, for example, a gNB. For example, in some embodiments of the present application, a handover failure prediction is reported based on the conditions for triggering handover failure prediction reporting. In this way, an AI / ML algorithm can be used to predict a UE handover failure for user equipment 120, thereby improving radio resource allocation and mobility management for user equipment 120. This can also solve existing technical problems, such as handover failure and the lack of handover failure prediction in existing mechanisms.

[0102] The conditions for triggering the handover failure prediction report include, for example, the following four options.

[0103] The first option: triggered when the UE is configured with a specific transmission mode.

[0104] In some embodiments of the present application, the condition for triggering the handover failure prediction report is that the UE is configured with a first transmission mode. The first transmission mode includes one or more of the following transmission modes: dual connectivity (DC) mode, carrier aggregation (CA) transmission mode, joint transmission (JT) transmission mode, and supplementary uplink (SUL) transmission mode. Specifically, when the UE is configured with one or more of the dual connectivity transmission mode, carrier aggregation transmission mode, joint transmission mode, and supplementary uplink transmission mode, the UE will trigger the handover failure prediction report.

[0105] Option 2: The base station configures UE triggering, which is based on triggering for each target cell.

[0106] In some embodiments of the present application, the condition for triggering the handover failure prediction report includes the handover failure of a cell in the UE predicted cell list, wherein the cell list is included in a message configured from the base station.

[0107] Specifically, the situation varies from cell to cell. Due to network planning, some cells experience a high number of handover failures for a large number of UEs. Therefore, the network must configure certain UEs, or configure all UEs via broadcast messages, to report handover failure predictions. The base station configures the UE to trigger handover failure prediction reporting only when a handover failure is predicted for a specific cell.

[0108] FIG5C is a flow chart illustrating a wireless communication method according to an embodiment of the present application. As shown in FIG5C , base station 110 configures user equipment 120 with a list of cells to which handover failure predictions can be sent via an RRC message (RRC-specific message such as RRCReconfiguration or system message such as a System Information Block (SIB)). User equipment 120 will only report a handover failure prediction if it can predict a possible handover failure for a cell in the cell list.

[0109] Option 3: The base station configures UE triggering, which is based on the triggering of each target cell. The UE must predict that the possibility of switching to this cell is higher than the base station threshold, and / or the switching failure reaches the threshold configured by the base station before reporting the switching failure prediction.

[0110] In some embodiments of the present application, the conditions for triggering the handover failure prediction report include the user equipment 120 predicting that the handover failure prediction probability of the target cell is greater than the handover failure prediction threshold value and / or the handover execution probability is greater than the handover execution threshold value, wherein the handover failure prediction threshold value and / or the handover execution threshold value are included in the configuration message received from the base station.

[0111] Specifically, similar to the second option, for a target cell, the user equipment 120 must predict that the probability of handover to this cell is higher than a threshold configured by the base station, and / or that a handover failure may occur in this cell, and the probability of handover failure is higher than the configured threshold. The reported message includes the handover failure probability (HO Failure Possibility), the target cell ID (Target Cell ID), the handover execution probability (HO Execution Possibility), etc.

[0112] Figure 5D is a flow chart of a wireless communication method provided in an embodiment of the present application. As shown in Figure 5D, the wireless communication method includes: the base station 110 configures the target cell's handover failure prediction threshold (assuming it is 50%) and handover execution probability (assuming it is 50%) to the user equipment 120 through an RRC message (RRC-specific message such as RRCReconfiguration or system message such as System Information Block, SIB). The user equipment 120 predicts that the handover failure prediction probability of the target cell is 70% and / or the handover execution probability of switching to the target cell is 60%. Because the handover failure prediction probability of the target cell is 70% greater than 50%, and / or the probability of switching to the target cell is 60% greater than 50%, the handover failure prediction of the target cell is reported. When the first message (message1) does not configure the threshold value of each candidate cell in the conditional handover (CHO), the third message (message3) reports all candidate cells included in the CHO.

[0113] Option 4: Trigger based on measurement report.

[0114] In some embodiments of the present application, the conditions for triggering the handover failure prediction report include: the user equipment 120 predicts the handover failure of the target cell and meets the measurement event, wherein the target cell and measurement event are included in the configuration message received from the base station 110.

[0115] Specifically, when user equipment 120 moves to a cell edge, for example, from the first cell (cell 1) to the edge of a second cell (cell 2), user equipment 120 triggers measurement reporting to assist base station 110 in making a handover decision. The method for moving to the cell edge can continue to use existing measurement events, which determine whether the user is at the cell edge. This means that measurement events are used to determine whether the user is at the cell edge, thereby triggering a handover failure prediction report. The network can configure a measurement quantity, and the measurement method can continue to use existing measurement events. Ratio A3 measurement event.

[0116] FIG5E is a flow chart of a wireless communication method according to an embodiment of the present application. As shown in FIG5E , the wireless communication method includes: base station 110 configuring a target cell and a measurement event for user equipment 120 via an RRC message. User equipment 120 predicts handover failure and measurement event compliance of the target cell.

[0117] Specifically, the base station 110 configures the user equipment 120 to send RRM measurement results and cells for handover failure prediction through an RRC message (RRC-specific message such as RRCReconfiguration or system message SIB). If the user equipment 120 can predict the possible handover failure of a cell within the cell, and the measurement value of the RRM measurement configuration of the cell includes a measurement event, then the user equipment 120 will report the handover failure prediction. The measurement events mentioned above include: A1 measurement event: the serving cell measurement result is higher than the threshold, A2 measurement event: the serving cell measurement result is lower than the threshold, A3 measurement event: the neighboring area measurement result is higher than the serving cell measurement result and offset (offset), A4 measurement event: the neighboring area measurement result is higher than the threshold, A5 measurement event: the serving cell measurement result is lower than the threshold, and the neighboring area measurement result is higher than the threshold, A6 measurement event: the neighboring area measurement result is higher than the secondary serving cell (Sencondary Cell, SCell) measurement result and offset, B1 measurement event: the heterogeneous cell measurement result is higher than the threshold, B2 measurement event: the heterogeneous cell measurement result is higher than the threshold, and the SPcell measurement result is lower than the threshold.

[0118] For example, if the message is RRCReconfiguration (predicted HO failure A3, Cell1), then the first cell must be higher than a preconfigured threshold of the serving cell, and only then can the handover failure prediction for the first cell be reported.

[0119] For another example, RRCReconfiguration (predicted HO failure A1, Cell1), when the serving cell is higher than the pre-configured threshold, the handover failure prediction for the first cell is reported.

[0120] Option 5: When the network configures Conditional Handover (CHO) for the UE, the network reports the handover failure predictions for the candidate cells configured by the CHO.

[0121] In some embodiments of the present application, the condition for triggering handover failure prediction reporting includes the handover probability of the candidate cell being greater than a first handover failure prediction threshold; wherein the handover probability is included in a conditional handover configuration received from a base station. In some embodiments of the present application, the condition for triggering handover failure prediction reporting includes: the probability of the candidate cell for conditional handover configured by the base station being greater than a configured threshold.

[0122] Specifically, when the probability of a candidate cell being a CHO candidate is greater than the configured threshold, the handover failure prediction for the candidate cell is reported, regardless of the handover failure probability. For example, if the configured CHO candidate cell probability threshold is 50%, and the actual probability of the candidate cell being a CHO candidate is 70%, the handover failure prediction for the candidate cell is reported.

[0123] To avoid unnecessary handover failure prediction reports, when CHO is configured, only configured candidate cells will report handover failure predictions. After receiving the CHO configuration, the user equipment 120 reports the handover failure prediction.

[0124] FIG5F is a flow chart of a wireless communication method provided in an embodiment of the present application. As shown in FIG5F , the wireless communication method includes: base station 110 configuring a handover failure prediction threshold for a candidate cell for conditional handover to user equipment 120 via an RRC message. Base station 110 configures a probability of a candidate cell for conditional handover to user equipment 120 via an RRC message. The probability of a candidate cell for conditional handover configured by the base station is greater than the configured threshold (the handover failure prediction threshold for a candidate cell for conditional handover). User equipment 120 predicts a candidate cell for conditional handover. User equipment 120 reports a handover failure prediction for the candidate cell.

[0125] Specifically, the RRC message configures the handover failure prediction threshold of the candidate cell for conditional handover, assuming 50%. After receiving the first message (message1), the user equipment 120 waits for CHO configuration. When the UE moves to the cell edge of the serving cell, the base station 110 will configure CHO for the user equipment 120 based on the measurement report. In this option, CHO configures two candidate cells, one candidate cell with a handover probability of 70% (the first cell), and one candidate cell with a handover probability of 30%. Since the handover probability of the first cell is greater than 50%, the HO handover failure prediction of the first cell is reported. When the first message (message1) does not configure the probability threshold of each candidate cell of CHO, the third message (message3) reports all candidate cells contained in CHO. The above-mentioned multiple trigger conditions can be combined or a single trigger condition. For example, in the combined scenario, scenario 4 and scenario 5, when the CHO condition is configured (that is, the fifth option is met), and the reporting threshold is configured (that is, the fourth option is also met), then both the fourth and fifth options must be met to trigger the condition, that is, the cell configured with CHO must meet the threshold to trigger the handover failure prediction report.

[0126] Third embodiment: performance monitoring.

[0127] The third embodiment can also be implemented independently. In some embodiments of the present application, the first embodiment and the third embodiment can be implemented in the order of the first embodiment and the third embodiment. In some embodiments of the present application, the second embodiment, the first embodiment, and the third embodiment can be implemented in the order of the fourth embodiment, the second embodiment, the first embodiment, and the third embodiment.

[0128] In some embodiments of the present application, after reconnecting to the network after a handover failure occurs, the user equipment 120 sends a UE handover failure report to the base station 110, wherein the UE handover failure report includes a prediction ID, a handover failure type, a predicted service interruption time, and a radio resource management (RRM) measurement result of the last handover failure. This prediction ID is used to indicate which handover failure prediction this failure report is for. In some embodiments of the present application, the predicted service interruption time is used to indicate the time interval between the occurrence of the handover failure and the reestablishment of the user equipment 120, and the RRM measurement result of the last handover failure is used to indicate the RRM measurement result reported before the last handover failure occurred.

[0129] In some embodiments of the present application, the method further includes a base station (e.g., a source base station) receiving the UE handover failure report sent by another base station (e.g., a target base station), wherein the UE handover failure report further includes a UE ID, wherein the UE ID is used to identify the UE in which the handover failure occurred. In some embodiments of the present application, the UE handover failure report further includes a first cell ID, wherein the first cell ID is used to indicate the cell in which the handover failure occurred.

[0130] Scenario 1: Switching genres too early.

[0131] In some embodiments of the present application, if the handover failure type is a too early handover type, after the handover failure occurs and the user equipment 120 reconnects to the network, the user equipment 120 sends the UE handover failure report to the first base station (e.g., the source base station). In some embodiments of the present application, the method further includes the user equipment 120 receiving a UE handover failure request sent by the first base station to send the UE handover failure report to the first base station.

[0132] Specifically, a premature handover type occurs when RLF occurs immediately after user equipment 120 switches to the target cell. User equipment 120 then initiates an RRC reestablishment message, resulting in the reestablishment in the source cell. In other words, a handover failure at base station 110 is likely due to the measurement results obtained by base station 110 no longer being the most recent measurement results of user equipment 120. To mitigate handover failures and enhance mobility, user equipment 120 must report the most recent measurement results from the time of the handover failure after reconnecting to the network following a handover failure.

[0133] FIG6A is a flow chart illustrating a wireless communication method according to an embodiment of the present application. As shown in FIG6A , if a source base station receives an RRC reestablishment message from user equipment 120, it determines based on information (e.g., ShortMAC-I) that this is user equipment 120 that previously experienced a handover failure. Therefore, it assumes that user equipment 120 has reconnected after a handover failure and sends a UE handover failure request (UE HO failure request) to request handover failure information from user equipment 120. User equipment 120 may automatically send a second message (message 2) after initiating the RRC reestablishment message without the first message (message 1). User equipment 120 then sends a UE handover failure report to the source cell. The UE handover failure report includes a prediction ID, a handover failure type, the RRM at the time of the handover failure, and the service interruption time. In some embodiments of the present application, the prediction ID indicates which handover failure prediction the UE handover failure report is for. In some embodiments of the present application, the handover failure type is a too-early handover type. In some embodiments of the present application, the RRM at the time of the handover failure is the last measurement result at the time of the handover failure. In some embodiments of the present application, the service interruption time refers to the time interval between the occurrence of handover failure and RRC re-establishment of the user equipment 120.

[0134] Scenario 2: Switching genres too late.

[0135] In some embodiments of the present application, if the handover failure type is a too late handover type, after the handover failure occurs and the user equipment 120 reconnects to the network, the user equipment 120 sends the UE handover failure report to the second base station (target base station), wherein the UE handover failure report also includes a first cell ID, wherein the first cell ID is used to indicate the cell in which the handover failure occurred. In some embodiments of the present application, the method further includes the user equipment 120 receiving a UE handover failure request sent by the second base station to send the UE handover failure report to the second base station.

[0136] In some embodiments of the present application, if the handover failure type is a too late handover type, when the handover failure occurs and reconnects to the network, the base station (e.g., a source base station) receives the UE handover failure report sent by another base station (e.g., a target base station), wherein the UE handover failure report also includes a first cell ID, wherein the first cell ID is used to indicate the cell where the handover failure occurred.

[0137] Specifically, a too-late handover type occurs when base station 110 issues a handover command too late, delaying the handover of user equipment 120. Consequently, before the handover command is issued, user equipment 120 experiences an RLF. User equipment 120 then performs an RRC re-establishment, but re-establishes to the target cell. Consequently, the source base station is unaware that user equipment 120 has performed an RRC re-establishment. Since user equipment 120 can no longer connect to the source cell, it can only send data to the source cell indirectly through the target cell to which it is connected.

[0138] Figure 6B is a flow chart of a wireless communication method provided in an embodiment of the present application. As shown in Figure 6B, if the target base station receives an RRC reestablishment message from user equipment 120, it will assume that user equipment 120 has reconnected after a handover failure and will therefore send a UE handover failure request to user equipment 120 to request handover failure information. User equipment 120 may automatically send a second message (message 2) after initiating the RRC reestablishment message without the first message (message 1). After receiving the request from the target base station to which it is already connected, user equipment 120 sends a UE handover failure report to the target base station. The UE handover failure report includes a first cell ID, a handover failure type, a source cell ID, a RRM at the time of the handover failure, and a service interruption time. In some embodiments of the present application, the first cell ID is used to indicate the cell in which the handover failure occurred. In some embodiments of the present application, the handover failure type is a too late handover type. In some embodiments of the present application, the source cell ID is the cell in which the handover failure occurred. In some embodiments of the present application, the RRM at the time of the handover failure is the last measurement result at the time of the handover failure. In some embodiments of the present application, service interruption time refers to the time interval between a handover failure occurring in user equipment 120 and RRC reestablishment in the target cell. After obtaining the source cell ID, the target base station sends a UE handover failure report, a message sent by user equipment 120, to the source base station to assist the source base station in model training. UE ID: This is used to identify the UE that experienced the handover failure. It can be an Xn AP UE ID or any other UE ID.

[0139] Scenario 3: Switching to the wrong cell type.

[0140] In some embodiments of the present application, if the handover failure type is a handover to an incorrect cell type, after the handover failure occurs and the user equipment 120 reconnects to the network, the user equipment 120 sends the UE handover failure report to the second base station (target base station), wherein the UE handover failure report also includes a prediction ID, a first cell ID, an incorrect cell ID, and a residence time in the incorrect cell, wherein the first cell ID is used to indicate the cell in which the handover failure occurred. In some embodiments of the present application, the method further includes the user equipment 120 receiving a UE handover failure request sent by the second base station to send the UE handover failure report to the second base station.

[0141] In some embodiments of the present application, if the handover failure type is a handover to an incorrect cell type, after the handover failure occurs and the user reconnects to the network, the base station (e.g., a source base station) receives the UE handover failure report sent by another base station (e.g., a target base station), wherein the UE handover failure report also includes a prediction ID, a first cell ID, an incorrect cell ID, and a residence time in the incorrect cell, wherein the first cell ID is used to indicate the cell in which the handover failure occurred. In some embodiments of the present application, the UE handover failure report also includes a UE ID, wherein the UE ID is used to identify the UE in which the handover failure occurred.

[0142] Specifically, in a handover to an incorrect cell type scenario, UE 120 first switches to the second cell (cell 2), but immediately experiences an RLF, subsequently initiating RRC reestablishment to the third cell (cell 3). Therefore, in this scenario, UE 120, already connected to the third cell, needs to report both the incorrect cell (i.e., the second cell) and the source cell (i.e., the first cell) to the third cell. Assume that the first cell belongs to the first eNB (gNB1), the second cell belongs to the second eNB (gNB2), and the third cell belongs to the third eNB (gNB3).

[0143] Figure 6C is a flowchart of a wireless communication method provided in an embodiment of the present application. As shown in Figure 6C, if the target base station receives an RRC reestablishment message from user equipment 120, it will assume that user equipment 120 has reconnected after a handover failure and will therefore send a UE handover failure request to user equipment 120 to request handover failure information. After receiving the request from the target base station to which it is already connected, user equipment 120 sends a UE handover failure report to the target base station. The UE handover failure report includes the first cell ID, the handover failure type, the source cell ID, the error cell ID, the RRM at the time of the handover failure, the service interruption time, and the dwell time. In some embodiments of the present application, the first cell ID indicates the cell in which the handover failure occurred. In some embodiments of the present application, the handover failure type is the error cell type. In some embodiments of the present application, the source cell ID is the cell in which the handover failure occurred. In some embodiments of the present application, the error cell ID is the cell ID of the second cell. In some embodiments of the present application, the RRM at the time of the handover failure is the measurement result before the handover failure occurred. In some embodiments of the present application, the service interruption time refers to the time interval between the handover failure and the RRC reestablishment of the user equipment 120 to the third cell. The dwell time refers to the time spent in the error cell, also known as the second cell. After obtaining the source cell ID, the target base station sends a UE handover failure report, a message sent by user equipment 120, to the source base station to assist the source base station in model training. UE ID: Identifies the UE that experienced the handover failure. This can be the Xn AP UE ID or any other UE ID.

[0144] Scenario 4: Switch to ping-pong switching type.

[0145] In some embodiments of the present application, if the handover failure type is a ping-pong handover type, after reconnecting to the network after the handover failure occurs, the user equipment 120 sends the UE handover failure report to the first base station, wherein the UE handover failure report also includes the ping-pong cell ID and the residence time of the ping-pong cell where the ping-pong handover failure occurred, wherein the RRM measurement result of the last handover failure is used to represent the measurement result of the user equipment 120 switching from the first base station to the second base station and the measurement result of the user equipment 120 switching from the second base station back to the first base station. In some embodiments of the present application, the method also includes the user equipment 120 receiving a UE handover failure request sent by the first base station to send the UE handover failure report to the first base station.

[0146] In some embodiments of the present application, if the handover failure type is a ping-pong handover type, when the handover failure occurs and the network is reconnected, the base station (e.g., the source base station) receives the UE handover failure report sent by another base station (e.g., the target base station), wherein the handover request sent by the UE includes a ping-pong handover indicator for indicating that a ping-pong handover has occurred, the residence time of the second cell, the second cell ID, and the RRM measurement result of the last handover failure.

[0147] In some embodiments of the present application, if the handover failure type is a ping-pong handover type, after the handover failure occurs and the network is reconnected, the base station (e.g., the source base station) receives the UE handover failure report sent by the UE, wherein the UE handover failure report also includes the ping-pong cell ID and the residence time of the ping-pong cell where the ping-pong handover failure occurred, wherein the RRM measurement result of the last handover failure is used to represent the measurement result of the UE switching from the first base station (e.g., the source base station) to the second base station (e.g., the target base station) and the measurement result of the UE switching from the second base station back to the first base station. In some embodiments of the present application, the method further includes sending a UE handover failure request to the UE to request the UE handover failure report.

[0148] Specifically, a ping-pong handover scenario occurs when user equipment 120 switches from a first cell (cell 1) (gNB1) to a second cell (cell 2) (gNB2), and then quickly switches back to the first cell (cell 1). It should be noted that there are no strict limits on how quickly a ping-pong handover can be returned to the first cell. A configurable range of time the UE spends in the second cell can be used; if the time is less than this, the handover is considered a ping-pong handover.

[0149] Specifically, the ping-pong switching type may include, for example, two options, which are illustrated as follows.

[0150] Option 1: The source base station obtains ping-pong handover parameters from the target base station.

[0151] FIG6D is a flowchart illustrating a wireless communication method according to an embodiment of the present application. As shown in FIG6D , a second base station (gNB2) receives a UE handover failure request from a first base station (gNB1) from user equipment 120 and then allocates handover resources to user equipment 120, including a Contention Free Random Access (CFRA) preamble. This allows the second base station to determine which UE corresponds to the Xn AP UE ID of user equipment 120. When the UE's dwell time is very short and needs to be handed back to the first base station according to the second base station's handover algorithm, the second base station may send a ping-pong handover indicator (HO indicator) to the first base station in the handover failure request. The ping-pong handover indicator includes the following parameters: Ping-pong handover indicator: indicates that a ping-pong handover occurred. Dwell time: indicates the duration of the UE's stay in the second cell (cell2) of the second base station. Cell ID: indicates that a ping-pong handover occurred in the second cell of the second base station. The RRM in the event of a handover failure refers to the last RRM result reported by the second cell when the user equipment 120 switches back from the second cell to the first cell. This is the RRM used to make the handover decision. This parameter allows the first cell to understand the handover parameters of the second cell, thereby better optimizing its own handover parameters and increasing the distance between the handover decision (HO) parameters of the second cell. If the handover decision parameters of the first and second cells are set too close, ping-pong handovers are likely to occur.

[0152] Option 2: The source base station obtains ping-pong handover parameters from the user equipment 120 .

[0153] Figure 6E is a flowchart illustrating a wireless communication method according to an embodiment of the present application. As shown in Figure 6E , when user equipment 120 switches from a second base station (gNB2) back to a first base station (gNB1), the ShortMAC-I parameter included in the UE Handover Failure Request sent from the second base station to the first base station indicates to the first base station that user equipment 120 has just switched to the second base station. The first base station can then request ping-pong handover parameters from user equipment 120. Based on the ShortMAC-I parameter in the handover message, the source base station determines that user equipment 120 has just switched to the target base station and then quickly ping-ponged back. Therefore, the source base station sends a UE Handover Failure Request to user equipment 120, requesting relevant parameters related to the handover failure. User equipment 120 sends a UE Handover Failure Report to the source base station. The parameters in the UE Handover Failure Report are explained as follows: Ping-Pong Cell ID is the ID of the cell where the ping-pong handover failure occurred, in this case, the second cell (cell2). Handover Failure Type is the type of handover failure, in this case, the ping-pong handover type. User equipment 120 knows that its time in the second cell was too short, based on its AI / ML model. Dwell time: Indicates how long the user equipment 120 stayed in the second cell (cell 2) of the second base station. Handover failure RRM refers to a ping-pong handover failure and includes two RRM measurement results: the measurement result of the user equipment 120 switching from the source base station to the target base station, and the measurement result of the user equipment 120 switching from the target base station back to the source base station. Service interruption time refers to the time interval between the user equipment 120 starting the handover and switching from the source base station to the target base station.

[0154] Fourth embodiment: UE capability reporting.

[0155] In the fourth embodiment, the base station may be configured based on the UE capabilities. The fourth embodiment may also be implemented independently. In some embodiments of the present application, the fourth embodiment and the second embodiment may be implemented in the order of the fourth embodiment, the second embodiment, and the first embodiment. In some embodiments of the present application, the fourth embodiment, the second embodiment, the first embodiment, and the third embodiment may be implemented in the order of the fourth embodiment, the second embodiment, the first embodiment, and the third embodiment.

[0156] FIG7A is a flow chart of a method for wireless communication provided in an embodiment of the present application. As shown in FIG7A , the method for wireless communication is executed on a user equipment (UE) and includes at least one of the following operations: Operation 701A: Receive a UE capability query sent by a network-side node. Operation 702A: Based on the UE capability query, send a handover failure prediction capability report of the UE based on artificial intelligence / machine learning (AI / ML) model prediction to the network-side node. The handover failure prediction capability report includes handover failure prediction support, which is used to indicate the UE's ability to support handover failure prediction, including whether it supports the ability to predict the time when the UE will experience a handover failure. The handover failure prediction support includes zero or more of the following information: node information, resource information, and AI / ML model information.

[0157] FIG7B is a flow chart of a method for wireless communication provided in an embodiment of the present application. As shown in FIG7B , the method for wireless communication is executed in a base station and includes at least one of the following operations: Operation 701B: Sending a UE capability query to the UE. Operation 702B: Receive the handover failure prediction capability report sent by the UE. The handover failure prediction capability report includes a handover failure prediction support packet, which is used to indicate the UE's ability to support handover failure prediction, including whether it supports the ability to predict the time when the UE will experience a handover failure. The handover failure prediction support includes zero or more of the following information: node information, resource information, and AI / ML model information.

[0158] Specifically, the UE is, for example, the user equipment 120 shown in Figure 1. The base station is, for example, the base station 110 shown in Figure 1. The base station 110 is, for example, a gNB. For example, in some embodiments of the present application, the UE sends a handover failure prediction capability report of the UE based on an artificial intelligence / machine learning (AI / ML) model prediction to the network-side node based on the UE capability query. In this way, the UE handover failure of the user equipment 120 can be predicted through the AI / ML algorithm, thereby better allocating wireless resources and mobility management to the user equipment 120. This can also solve existing technical problems. Existing technical problems, for example, are handover failure and the existing mechanism does not predict handover failure.

[0159] In some embodiments of the present application, the node information is used to indicate that the prediction capability only supports the prediction capability for specific nodes, and the resource information is used to indicate that the prediction capability only supports the prediction capability for specific resources. In some embodiments of the present application, the node information includes one or more of the following information: cell ID, transmitting and receiving point TRP ID, tracking area TA, scenario ID, and area ID. In some embodiments of the present application, the resource information includes one or more of the following information: beam information, bandwidth information, and frequency information.

[0160] Specifically, AI / ML requires computing power support on the UE side. At the same time, some UEs in the network may support handover failure prediction based on AI / ML, while others may not. Alternatively, the handover failure prediction capabilities supported by different UEs may vary significantly. Therefore, to support handover failure prediction, the base station needs to know whether the UE is capable of handover failure prediction, so that the base station can provide the appropriate configuration for the UE.

[0161] Figure 7C is a flow chart of a method for wireless communication provided in an embodiment of the present application. As shown in Figure 7C, the method for wireless communication includes the user equipment 120 receiving a UE capability query sent by a network side node. Based on the UE capability query, the user equipment 120 sends a handover failure prediction capability report of the UE based on the AI / ML model prediction to the network side node. Among them, the handover failure prediction capability report package handover failure prediction support is used to indicate the ability of the UE to support handover failure prediction, including whether it supports the ability to predict the time when the UE will fail to switch, and the handover failure prediction support includes zero or more of the following information: node information, resource information, and AI / ML model information.

[0162] Specifically, the prediction-based RRM measurement capability information reported by the user equipment 120 to the base station 110 or the network side (gNB, core network element, third party, etc.) includes at least one or more of the following information: Handover Failure Prediction Support: Describes the user equipment 120's ability to support handover failure prediction, including whether it supports the ability to predict when a handover failure will occur on the user equipment 120. This information may further include node information and / or resource information and / or AI / ML model information. The node information describes whether the prediction capability only supports prediction for specific nodes, and the resource information describes whether the prediction capability only supports prediction for specific resources. The node information described here may include cell ID, transmit and receive point TRP IDs, tracking area (TA), scenario ID, and area ID. Resource information may include beam information, bandwidth information, frequency information, etc. All of the above capabilities may further include prediction time, i.e., the ability to predict the start and end time of the time range within which an event will occur. All of the above capabilities may further include accuracy, i.e., the probability of the predicted event occurring, such as 10%, 20%, 30%, etc. For all the above capabilities, if they include both area ID and cell ID, it means that the supported capability is valid in the area ID of a specific area or for a specific cell ID.

[0163] In summary, in some embodiments of the present application, the network requests the prediction capability of the UE, understands the capability of the UE, and configures the reporting behavior of the UE (for example, the fourth embodiment: UE capability reporting). In some embodiments of the present application, the conditions for the UE to trigger reporting of the switching failure prediction are defined: this is because the behavior of the UE should be controlled by the network side, otherwise frequent sending of switching failure predictions will cause a large amount of signaling overhead (for example, the second embodiment: the conditions for triggering switching failure prediction reporting). In some embodiments of the present application, the UE reports the switching failure prediction: the UE reports the predicted switching failure to the network, and the network adjusts the switching decision of the UE (for example, the first embodiment: the UE reports the switching failure prediction information predicted by the UE based on the AI / ML model). In some embodiments of the present application, when a switching failure occurs, there must be a performance monitoring function. The side where the model is located needs to obtain the performance KPI in order to further train the model (for example, the third embodiment: performance monitoring).

[0164] Figure 8 is a schematic structural diagram of a wireless communication device 700 provided in an embodiment of the present application. The wireless communication device can be a user equipment, a base station, or a network element. The wireless communication device 700 shown in Figure 8 includes a processor 710, which can call and execute a computer program from a memory to implement the method in the embodiment of the present application.

[0165] Optionally, as shown in FIG9 , the wireless communication device 700 may further include a memory 720. The processor 710 may call and execute a computer program from the memory 720 to implement the method in the embodiment of the present application. The memory 720 may be a separate device independent of the processor 710 or may be integrated into the processor 710.

[0166] Optionally, as shown in FIG8 , the wireless communication device 700 may further include a transceiver 730. The processor 710 may control the transceiver 730 to communicate with other devices. Specifically, the transceiver 730 may send information or data to other devices or receive information or data sent by other devices. The transceiver 730 may include a transmitter and a receiver. The transceiver 730 may further include an antenna, which may be one or more.

[0167] Optionally, the wireless communication device 700 may specifically be a base station in an embodiment of the present application, and the wireless communication device 700 may implement the corresponding processes implemented by the base station in each method in the embodiment of the present application. For the sake of brevity, they will not be repeated here.

[0168] Optionally, the wireless communication device 700 may specifically be a mobile user device / user device in an embodiment of the present application, and the wireless communication device 700 may implement the corresponding processes implemented by the mobile user device / user device in each method of the embodiment of the present application. For the sake of brevity, they will not be repeated here.

[0169] Optionally, the wireless communication device 700 may specifically be a network element in an embodiment of the present application, and the wireless communication device 700 may implement the corresponding processes implemented by the network element in each method in the embodiment of the present application. For the sake of brevity, they will not be repeated here.

[0170] Figure 9 is a schematic structural diagram of a chip according to an embodiment of the present application. The chip 800 shown in Figure 9 includes a processor 810, which can call and run a computer program from a memory to implement the method according to the embodiment of the present application.

[0171] Optionally, as shown in FIG9 , the chip 800 may further include a memory 820. The processor 810 may call and execute computer programs from the memory 820 to implement the methods in the embodiments of the present application. The memory 820 may be a separate device independent of the processor 810 or may be integrated into the processor 810.

[0172] Optionally, the chip 800 may further include an input interface 830. The processor 910 may control the input interface 830 to communicate with other devices or chips, and specifically, may obtain information or data sent by other devices or chips.

[0173] Optionally, the chip 800 may further include an output interface 840. The processor 810 may control the output interface 840 to communicate with other devices or chips, and specifically, may output information or data to other devices or chips.

[0174] Optionally, the chip can be applied to the base station in the embodiments of the present application, and the chip can implement the corresponding processes implemented by the base station in each method of the embodiments of the present application. For the sake of brevity, they will not be repeated here.

[0175] Optionally, the chip can be applied to the mobile user device / user device in the embodiments of the present application, and the chip can implement the corresponding processes implemented by the mobile user device / user device in the various methods of the embodiments of the present application. For the sake of brevity, they will not be repeated here.

[0176] Optionally, the chip can be applied to the network element in the embodiment of the present application, and the chip can implement the corresponding processes implemented by the mobile network element in each method of the embodiment of the present application. For the sake of brevity, it will not be repeated here.

[0177] Figure 10 is a schematic block diagram of a wireless communication system 100 provided in an embodiment of the present application. As shown in Figure 10, the communication system 100 includes a user equipment 120 and a base station 110. The user equipment 120 can be used to implement the corresponding functions implemented by the user equipment in the above method, and the base station 110 can be used to implement the corresponding functions implemented by the base station in the above method. For the sake of brevity, they are not further described here.

[0178] It should be understood that the processor of the embodiment of the present application may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method embodiment may be completed by hardware integrated logic circuits in the processor or software instructions.

[0179] It is understood that the memory in the embodiments of the present application may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. It should be noted that the memory of the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory. The embodiments of the present application also provide a computer-readable storage medium for storing a computer program.

[0180] Optionally, the computer-readable storage medium may be applied to the base station in the embodiments of the present application, and the computer program causes the computer to execute the corresponding processes implemented by the base station in the various methods in the embodiments of the present application. For the sake of brevity, no further description is given here. Optionally, the computer-readable storage medium may be applied to the mobile user equipment / user equipment in the embodiments of the present application, and the computer program causes the computer to execute the corresponding processes implemented by the mobile user equipment / user equipment in the various methods in the embodiments of the present application. For the sake of brevity, no further description is given here.

[0181] An embodiment of the present application also provides a computer program product, including computer program instructions.

[0182] Optionally, the computer program product may be applied to the base station in the embodiments of the present application, and the computer program instructions cause the computer to execute the corresponding processes implemented by the base station in the various methods of the embodiments of the present application. For the sake of brevity, they are not described in detail here. Optionally, the computer program product may be applied to the mobile user equipment / user equipment in the embodiments of the present application, and the computer program instructions cause the computer to execute the corresponding processes implemented by the mobile user equipment / user equipment in the various methods of the embodiments of the present application. For the sake of brevity, they are not described in detail here.

[0183] The embodiment of the present application also provides a computer program.

[0184] Optionally, the computer program may be applied to the base station in the embodiments of the present application. When the computer program is executed on a computer, the computer executes the corresponding processes implemented by the base station in the various methods of the embodiments of the present application. For the sake of brevity, no further details are given here. Optionally, the computer program may be applied to the mobile user equipment / user equipment in the embodiments of the present application. When the computer program is executed on a computer, the computer executes the corresponding processes implemented by the mobile user equipment / user equipment in the various methods of the embodiments of the present application. For the sake of brevity, no further details are given here.

[0185] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0186] The above description is merely a specific embodiment of the present application, but the scope of protection of the present application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in the present application should be included in the scope of protection of the present application. Therefore, the scope of protection of the present application should be based on the scope of protection of the claims.

Claims

1. A wireless communication method, executed by a user equipment UE, wherein: The method comprises: Sending the switching failure prediction information of the UE based on the artificial intelligence / machine learning AI / ML model prediction to the base station through signaling, wherein the switching failure prediction information includes one or more of the following information: prediction ID, AI / ML model ID information, switching failure type, target cell information, switching failure validity time, switching failure accuracy, accuracy of switching failure validity time, predicted service interruption time, and radio resource management RRM measurement result at the time when the last switching failure occurred.

2. The method according to claim 1, wherein The signaling includes RRM measurement signaling, radio resource control RRC signaling or UE assistance information.

3. The method according to claim 1 or 2, wherein: The AI / ML model ID information is used to indicate the AI / ML model used by the UE, and the AI / ML model ID information includes one or more of the following information: model ID, functional ID, feature ID, and RRC configuration ID.

4. The method according to any one of claims 1 to 3, wherein The handover failure type includes a too-early handover type, a too-late handover type, a handover to a wrong cell type, or a ping-pong handover type.

5. The method according to claim 4, wherein The premature handover type carries a target cell ID, where the target cell ID is used to indicate a target cell where premature handover failure is predicted to occur.

6. The method according to claim 4, wherein: The too late handover type carries a target cell ID, and the target cell ID is used to indicate a target cell where a too late handover failure is predicted to occur.

7. The method according to claim 4, wherein: The switching to the wrong cell type carries one or more of the following information: a predicted wrong cell ID, a predicted correct cell ID, a correct cell switching condition, and an wrong cell switching failure condition. The predicted wrong cell ID is used to indicate a cell in which a radio link failure RLF occurs immediately after the switching, and the predicted correct cell ID is used to indicate a cell rebuilt after the RLF occurs.

8. The method according to claim 4, wherein: The ping-pong handover type carries a target cell ID, and the target cell ID is used to indicate a target cell where a ping-pong handover failure is predicted to occur.

9. The method according to any one of claims 1 to 8, wherein The target cell information is used to indicate information about the cell where the UE predicts that handover failure will occur, and the target cell information includes one or more of the following information: the ID and frequency of the cell where handover failed, and the synchronization signal block SSB index where the handover failed.

10. The method according to any one of claims 1 to 9, wherein The handover failure validity time is used to indicate the time range in which the handover failure occurs. The handover failure validity time is expressed in time as a start time and an end time, or the handover failure validity time is expressed in time as a start time and a duration.

11. The method according to any one of claims 1 to 9, wherein The handover failure validity time is used to indicate a predicted time point when a handover failure occurs.

12. The method according to any one of claims 1 to 11, wherein The handover failure accuracy is used to indicate a prediction of the probability of a handover failure occurring.

13. The method according to any one of claims 1 to 12, wherein The accuracy of the handover failure validity time is used to represent the error of the predicted time.

14. The method according to any one of claims 1 to 13, wherein The predicted service interruption time is used to represent the time interval between the occurrence of handover failure and reestablishment of the UE.

15. The method according to any one of claims 1 to 14, wherein The RRM measurement result of the last handover failure is used to indicate the RRM measurement result reported before the last handover failure occurs.

16. The method according to any one of claims 1 to 15, wherein The method further comprises: Configure the conditions that trigger handover failure prediction reporting; and Based on the condition for triggering the handover failure prediction reporting, the handover failure prediction is reported to the base station.

17. The method according to claim 16, wherein The condition for triggering the handover failure prediction report is that the UE is configured with the first transmission mode.

18. The method according to claim 17, wherein The first transmission mode includes one or more of the following transmission modes: dual connectivity transmission mode, carrier aggregation CA transmission mode, joint transmission JT transmission mode, and supplementary uplink SUL transmission mode.

19. The method according to any one of claims 16 to 18, wherein The conditions for triggering the handover failure prediction report include: The UE predicts handover failure of cells in a cell list, wherein the cell list is included in a message configured from the base station.

20. The method according to any one of claims 16 to 19, wherein The conditions for triggering the handover failure prediction report include: The UE predicts that the switching failure prediction probability of the target cell is greater than the switching failure prediction threshold and / or the switching execution probability is greater than the switching execution threshold, wherein the switching failure prediction threshold and / or the switching execution threshold are included in the configuration message received from the base station.

21. The method according to any one of claims 16 to 19, wherein The conditions for triggering the handover failure prediction report include: The UE predicts handover failure of the target cell and a matching measurement event, wherein the target cell and the measurement event are included in a configuration message received from the base station.

22. The method according to any one of claims 16 to 21, wherein The conditions for triggering the handover failure prediction report include: The handover probability of the candidate cell is greater than a first handover failure prediction threshold; wherein the handover probability is included in a conditional handover configuration received from a base station.

23. The method according to any one of claims 16 to 22, wherein The conditions for triggering the handover failure prediction report include: The probability of the conditional switching candidate cell configured by the base station is greater than the configured threshold value.

24. The method according to any one of claims 1 to 23, wherein The method further comprises: When a handover failure occurs and the user reconnects to the network, a UE handover failure report is sent to the base station, wherein the UE handover failure report includes a predicted ID, a handover failure type, a predicted service interruption time, and a radio resource management (RRM) measurement result of the last handover failure.

25. The method according to claim 24, wherein The predicted service interruption time is used to represent the time interval between the occurrence of the handover failure and the reestablishment of the UE, and the RRM measurement result of the last handover failure is used to represent the RRM measurement result reported before the last handover failure occurs.

26. The method according to claim 24 or 25, wherein If the handover failure type is a too early handover type, after the handover failure occurs and the network is reconnected, the UE handover failure report is sent to the first base station.

27. The method according to claim 26, wherein The method further includes receiving a UE handover failure request sent by the first base station to send the UE handover failure report to the first base station.

28. The method according to any one of claims 24 to 27, wherein If the handover failure type is a too late handover type, after reconnecting to the network when the handover failure occurs, the UE handover failure report is sent to the second base station, wherein the UE handover failure report also includes a first cell ID, wherein the first cell ID is used to indicate the cell where the handover failure occurred.

29. The method according to claim 28, wherein The method further includes receiving a UE handover failure request sent by the second base station to send the UE handover failure report to the second base station.

30. The method according to any one of claims 23 to 29, wherein If the handover failure type is a handover to an incorrect cell type, after the handover failure occurs and the user reconnects to the network, the UE handover failure report is sent to the second base station, wherein the UE handover failure report also includes a predicted ID, a first cell ID, an incorrect cell ID, and a residence time in the incorrect cell, wherein the first cell ID is used to indicate the cell where the handover failure occurred.

31. The method according to claim 30, wherein The method further includes receiving a UE handover failure request sent by the second base station to send the UE handover failure report to the second base station.

32. The method according to any one of claims 23 to 31, wherein If the handover failure type is a ping-pong handover type, when the handover failure occurs and the UE is reconnected to the network, the UE sends the UE handover failure report to the first base station, wherein the UE handover failure report also includes the ping-pong cell ID where the ping-pong handover failure occurred and the residence time of the ping-pong cell, wherein the RRM measurement result of the last handover failure is used to represent the measurement result of the UE switching from the first base station to the second base station and the measurement result of the UE switching from the second base station back to the first base station.

33. The method according to claim 32, wherein The method further includes receiving a UE handover failure request sent by the first base station to send the UE handover failure report to the first base station.

34. The method according to any one of claims 16 to 23, wherein The method further comprises: Receive UE capability query sent by the network side node; Based on the UE capability query, the UE sends the artificial intelligence / machine learning AI / ML model to the network side node. Predicted switching failure prediction capability report, wherein the switching failure prediction capability report package switching failure prediction support is used to indicate the UE's ability to support switching failure prediction, including whether it supports the ability to predict the time when the UE will experience a switching failure, and the switching failure prediction support includes zero or more of the following information: node information, resource information, and AI / ML model information.

35. The method according to claim 34, wherein The node information is used to indicate that the prediction capability only supports specific nodes, and the resource information is used to indicate that the prediction capability only supports specific resources.

36. The method according to claim 34 or 35, wherein The node information includes one or more of the following information: cell ID, transmitting and receiving point TRP ID, tracking area TA, scene ID, and area ID.

37. The method according to claim 34 or 35, wherein The resource information includes one or more of the following information: beam information, bandwidth information, and frequency information.

38. A wireless communication method, executed by a base station, wherein: The method comprises: Receive handover failure prediction information based on artificial intelligence / machine learning AI / ML model prediction sent by user equipment UE through signaling, wherein the handover failure prediction information includes one or more of the following information: prediction identification ID, AI / ML model ID information, handover failure type, target cell information, handover failure validity time, handover failure accuracy, accuracy of handover failure validity time, predicted service interruption time, and radio resource management RRM measurement result at the time when the last handover failure occurred.

39. The method according to claim 38, wherein The signaling includes RRM measurement signaling, radio resource control RRC signaling or UE assistance information.

40. The method according to claim 38 or 39, wherein The AI / ML model ID information is used to indicate the AI / ML model used by the UE, and the AI / ML model ID information includes one or more of the following information: model ID, functional ID, feature ID, and RRC configuration ID.

41. The method according to any one of claims 38 to 40, wherein The handover failure type includes a too-early handover type, a too-late handover type, a handover to a wrong cell type, or a ping-pong handover type.

42. The method according to claim 41, wherein The premature handover type carries a target cell ID, where the target cell ID is used to indicate a target cell where premature handover failure is predicted to occur.

43. The method according to claim 41, wherein The too late handover type carries a target cell ID, and the target cell ID is used to indicate a target cell where a too late handover failure is predicted to occur.

44. The method of claim 41, wherein The switching to the wrong cell type carries one or more of the following information: a predicted wrong cell ID, a predicted correct cell ID, a correct cell switching condition, and an wrong cell switching failure condition. The predicted wrong cell ID is used to indicate a cell in which a radio link failure RLF occurs immediately after the switching, and the predicted correct cell ID is used to indicate a cell rebuilt after the RLF occurs.

45. The method of claim 41, wherein The ping-pong handover type carries a target cell ID, and the target cell ID is used to indicate a target cell where a ping-pong handover failure is predicted to occur.

46. ​​A method according to any one of claims 38 to 45, wherein The target cell information is used to indicate information about the cell where the UE predicts that handover failure will occur, and the target cell information includes one or more of the following information: the ID and frequency of the cell where handover failed, and the synchronization signal block SSB index where the handover failed.

47. The method according to any one of claims 38 to 46, wherein The handover failure validity time is used to indicate the time range in which the handover failure occurs. The handover failure validity time is expressed in time as a start time and an end time, or the handover failure validity time is expressed in time as a start time and a duration.

48. The method according to any one of claims 38 to 46, wherein The handover failure validity time is used to indicate a predicted time point when a handover failure occurs.

49. The method according to any one of claims 38 to 48, wherein The handover failure accuracy is used to indicate a prediction of the probability of a handover failure occurring.

50. The method according to any one of claims 38 to 49, wherein The accuracy of the handover failure validity time is used to represent the error of the predicted time.

51. The method according to any one of claims 38 to 50, wherein The predicted service interruption time is used to represent the time interval from the occurrence of switching failure to re-establishment.

52. The method according to any one of claims 38 to 51, wherein The RRM measurement result of the last handover failure is used to indicate the RRM measurement result reported before the last handover failure occurs.

53. The method according to any one of claims 38 to 52, wherein The method further comprises: A handover failure prediction reported by the UE is received, wherein the handover failure prediction is based on a condition for triggering handover failure prediction reporting.

54. The method of claim 53, wherein: The condition for triggering the handover failure prediction report is the first transmission mode.

55. The method of claim 54, wherein The first transmission mode includes one or more of the following transmission modes: dual connectivity transmission mode, carrier aggregation CA transmission mode, joint transmission JT transmission mode, and supplementary uplink SUL transmission mode.

56. A method according to any one of claims 53 to 55, wherein The conditions for triggering the handover failure prediction report include: Prediction of cell handover failure in a cell list, wherein the cell list is included in a message configured by the base station.

57. The method according to any one of claims 53 to 56, wherein The conditions for triggering the handover failure prediction report include: The predicted probability of handover failure of the target cell is greater than the handover failure prediction threshold and / or the handover execution probability is greater than the handover execution threshold, wherein the handover failure prediction threshold and / or the handover execution threshold are included in the configuration message received by the base station.

58. The method according to any one of claims 53 to 57, wherein The conditions for triggering the handover failure prediction report include: The handover failure of the target cell and the prediction of a compliance measurement event, wherein the target cell and the measurement event are included in a configuration message received by the base station.

59. The method according to any one of claims 53 to 58, wherein The conditions for triggering the handover failure prediction report include: The handover probability of the candidate cell is greater than a first handover failure prediction threshold; wherein the handover probability is included in the conditional handover configuration received by the base station.

60. The method according to any one of claims 53 to 59, wherein The conditions for triggering the handover failure prediction report include: The probability of the conditional switching candidate cell configured by the base station is greater than the configured threshold value.

61. The method according to any one of claims 38 to 60, wherein The method further comprises: When a handover failure occurs and the UE is reconnected to the network, the base station receives a UE handover failure report sent by the UE, wherein the UE handover failure report includes a predicted ID, a handover failure type, a predicted service interruption time, and a radio resource management RRM measurement result of the last handover failure.

62. The method of claim 61, wherein The predicted service interruption time is used to represent the time interval between the occurrence of the handover failure and the reestablishment, and the RRM measurement result of the last handover failure is used to represent the reported RRM measurement result received by the base station before the last handover failure occurs.

63. The method according to claim 61 or 62, wherein If the handover failure type is a too-early handover type, the base station receives the UE handover failure report after reconnecting to the network when the handover failure occurs.

64. The method of claim 63, wherein The method further includes sending a UE handover failure request to the UE to request a UE handover failure report.

65. The method of claim 61, wherein The method further includes the base station receiving the UE handover failure report sent by another base station, wherein the UE handover failure report further includes a UE ID, wherein the UE ID is used to identify the UE in which the handover failure occurs.

66. The method of claim 65, wherein The UE handover failure report further includes a first cell ID, where the first cell ID is used to indicate a cell where the handover failure occurs.

67. The method of claim 61, wherein If the handover failure type is a too late handover type, when the handover failure occurs and the base station reconnects to the network, the base station receives the UE handover failure report sent by another base station, wherein the UE handover failure report also includes a first cell ID, wherein the first cell ID is used to indicate the cell where the handover failure occurs.

68. The method of claim 61, wherein If the handover failure type is a handover to an incorrect cell type, when the handover failure occurs and the base station reconnects to the network, the base station receives the UE handover failure report sent by another base station, wherein the UE handover failure report also includes a predicted ID, a first cell ID, an incorrect cell ID, and a residence time in the incorrect cell, wherein the first cell ID is used to indicate the cell where the handover failure occurred.

69. The method according to claim 67 or 68, wherein The UE handover failure report further includes a UE ID, wherein the UE ID is used to identify the UE in which the handover failure occurs.

70. The method of claim 61, wherein If the handover failure type is a ping-pong handover type, when the handover failure occurs and the user reconnects to the network, the base station receives the UE handover failure report sent by another base station, wherein the handover request sent by the UE includes a ping-pong handover indicator indicating that a ping-pong handover has occurred, the residence time of the second cell, the second cell ID, and the RRM measurement result of the last handover failure.

71. The method of claim 61, wherein If the handover failure type is a ping-pong handover type, when the handover failure occurs and the UE is reconnected to the network, the base station receives the UE handover failure report sent by the UE, wherein the UE handover failure report also includes the ping-pong cell ID where the ping-pong handover failure occurred and the residence time of the ping-pong cell, wherein the RRM measurement result of the last handover failure is used to represent the measurement result of the UE switching from the first base station to the second base station and the measurement result of the UE switching from the second base station back to the first base station.

72. The method of claim 71, wherein The method further includes sending a UE handover failure request to the UE to request a UE handover failure report.

73. The method according to any one of claims 53 to 72, wherein The method further comprises: Sending a UE capability query to the UE; Receive the handover failure prediction capability report sent by the UE, wherein the handover failure prediction capability report package handover failure prediction support is used to indicate the UE's ability to support handover failure prediction, including whether it supports the ability to predict the time when a handover failure occurs for the UE, and the handover failure prediction support includes zero or more of the following information: node information, resource information, and AI / ML model information.

74. The method of claim 73, wherein The node information is used to indicate that the prediction capability only supports specific nodes, and the resource information is used to indicate that the prediction capability only supports specific resources.

75. The method of claim 73 or 74, wherein The node information includes one or more of the following information: cell ID, transmitting and receiving point TRP ID, tracking area TA, scene ID, and area ID.

76. The method of claim 73 or 74, wherein The resource information includes one or more of the following information: beam information, bandwidth information, and frequency information.

77. A wireless communication device comprising: A processor and a memory, the memory being used to store a computer program, the processor being used to call and run the computer program stored in the memory to execute the method as claimed in any one of claims 1 to 76.

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