Method in terminal used for wireless communication

Abstract

The invention discloses a method used in a terminal for wireless communication, and the method comprises the following steps: recording RLF (Radio Link Failure) information as a response of detecting the RLF (Radio Link Failure); wherein the RLF information indicates a result of at least one prediction for a first LTM (L1 / L < 2 > Triggered Modulation, L1 / L < 2 > triggered mobility) event before the RLF is detected, and the RLF information indicates the result of at least one prediction for the first LTM (L1 / L < 2 > Triggered Modulation, L1 / L < 2 > triggered mobility) event before the RLF is detected; sending a first message, wherein the first message is generated by the recorded RLF information; the RLF information comprises whether a first signaling is received after the first LTM event is predicted, and the first signaling indicates LTM cell switching. According to the scheme provided by the invention, mobility optimization is facilitated.

Description

Technical Field

[0001] The present application relates to a method for terminal mobility in a wireless communication system and to the problem of wireless link failure reporting. Background Art

[0002] The application scenarios of future wireless communication systems are becoming increasingly diversified, and different application scenarios pose different performance requirements on the system. To meet the different performance requirements of various application scenarios, it was decided at the 72nd plenary session of 3GPP (3rd Generation Partner Project) RAN (Radio Access Network) to conduct research on the new radio access technology (NR, New Radio) (or Fifth Generation, 5G). At the 75th plenary session of 3GPP RAN, the WI (Work Item) of NR was adopted, and the standardization work of NR began.

[0003] In communication, whether it is LTE (Long Term Evolution) or 5G NR, it involves the accurate reception of reliable information, optimized energy efficiency ratio, determination of information effectiveness, flexible resource allocation, scalable system architecture, efficient non-access stratum information processing, low service interruption and disconnection rates, support for low power consumption, which is of great significance for the normal communication between base stations and user equipment, for the reasonable scheduling of resources, and for the balance of system load. It can be said to be the cornerstone of high throughput, meeting the communication needs of various services, improving spectrum utilization, and improving service quality. It is indispensable for both eMBB (enhanced Mobile BroadBand), URLLC (Ultra Reliable Low Latency Communication), and eMTC (enhanced Machine Type Communication). RLM (Radio Link Monitoring) is a process of continuously monitoring the quality of radio links to ensure communication reliability. When RLF (Radio Link Failure) is detected, the network and the terminal will attempt to take recovery measures, such as re-establishing a connection or switching to another cell, to restore communication. L1 / L2 Triggered Mobility (LTM) is the latest research content of 3GPP R18 (Release 18), and its main purpose is to shorten the handover delay and interruption delay of the terminal in the mobile network, thereby enhancing the user experience. This technology aims at how to more effectively manage this mobility when the user equipment (such as a smart phone) moves from one cell to another in the mobile network to ensure the continuity and quality of communication. In the traditional 5G New Radio (5G NR) network, the change of the serving cell is usually triggered by layer 3 (L3) measurements and completed through RRC (Radio Resource Control) reconfiguration signaling. This process involves a complete reset of layer 2 (L2) and layer 1 (L1), resulting in relatively long delays, greater overheads, and longer interruption times. The LTM technology aims to optimize this process by using L1 / L2 signaling, reducing delays, overheads, and interruption times. LTM is an important advancement in the field of mobile communication, which helps to improve the network performance and user experience, especially in high-speed mobile scenarios. Summary of the Invention

[0004] Researchers have found that in a wireless communication system, when a terminal detects a wireless link failure, how to utilize the prediction information for the LTM event for network optimization is an issue that needs to be addressed.

[0005] In response to the above-mentioned problem, this application provides a solution. In the above problem description, the NR system is taken as an example. This application is also applicable to scenarios such as LTE (Long-Term Evolution), LTE-A (Long-Term Evolution Advanced), 5G+, or 6G systems, achieving similar technical effects as the NR system; further, although this application gives specific implementation manners for the RLF report, this application can also be used to solve other communication problems, such as network optimization, artificial intelligence, and mobility management; the method proposed in this application is also very suitable for solving problems in network convergence scenarios. Further, adopting a unified design solution for different scenarios also helps to reduce hardware complexity and cost. Further, although the original intention of this application is for the Uu air interface, this application can also be used for the PC5 interface, achieving similar technical effects as the Uu air interface. Further, although the original intention of this application is for the terminal and base station scenario, this application is also equally applicable to the V2X (Vehicle-to-Everything) scenario, the communication scenarios between the terminal and the relay, and between the relay and the base station, achieving similar technical effects as in the terminal and base station scenario. Further, although the original intention of this application is for the terminal and base station scenario, this application is also equally applicable to other communication scenarios, achieving similar technical effects as in the terminal and base station scenario. Further, although the original intention of this application is for the terrestrial network (TN) scenario, this application is also equally applicable to the non-terrestrial network (NTN) communication scenario, achieving similar technical effects as in the TN scenario. In addition, adopting a unified solution for different scenarios also helps to reduce hardware complexity and cost.

[0006] As an example, the interpretation of the terms in this application refers to the definitions in the 3GPP specification protocol series TS36.

[0007] As an example, the interpretation of the terms in this application refers to the definitions in the 3GPP specification protocol series TS38.

[0008] As an example, the interpretation of the terms in this application refers to the definitions in the 3GPP specification protocol series TS37.

[0009] As an example, an event is a proper noun in this field.

[0010] It should be noted that, without conflict, the embodiments and features in any node of this application can be applied to any other node. Without conflict, the embodiments and features in the embodiments of this application can be combined with each other arbitrarily.

[0011] This application discloses a method in a terminal, characterized in that

[0012] including:

[0013] As a response to detecting a radio link failure, record information of the radio link failure; wherein, the information of the radio link failure indicates the result of at least one prediction for a first LTM event before the detection of the radio link failure; send a first message, the first message is generated from the recorded information of the radio link failure; wherein, whether the entry condition of the first LTM event is satisfied depends on the comparison between the measurement result on at least one RS (Reference Signal) resource passing through an L1 filter and a first threshold; the result of at least one prediction for the first LTM event includes at least one of at least one prediction that the entry condition of the first LTM event is satisfied and at least one prediction that the entry condition of the first LTM event will not be satisfied.

[0014] As an embodiment, the problems to be solved by this application include: when detecting a radio link failure, how to report to the network the result of at least one prediction for a first LTM event before the detection of the radio link failure.

[0015] In the above method, the first message sent by the terminal is generated from the recorded information of the radio link failure, thus solving the above problems.

[0016] As an embodiment, the advantages of the above method include: reducing signaling overhead, avoiding misoperations, recording the result of at least one prediction of the first LTM event to avoid the impact of accidental failure of LTM prediction on the network, and having better flexibility and robustness. It is beneficial for better network optimization.

[0017] As an embodiment, the complexity of the above method is relatively low.

[0018] As an embodiment, the first message belongs to an RRC layer signaling.

[0019] As an embodiment, the above method can reduce the number of times of reporting measurement results and reduce signaling overhead.

[0020] As an embodiment, the above method specifies the content of the first message to avoid misoperations.

[0021] According to one aspect of the present application, it is characterized in that

[0022] the information on the radio link failure indicates the results of at least N1 predictions for a first LTM event before the detected radio link failure; the information on the radio link failure indicates the results of at least N2 predictions for a second LTM event before the detected radio link failure; wherein, both N1 and N2 are positive integers.

[0023] According to one aspect of the present application, it is characterized in that

[0024] the information on the radio link failure includes whether a first signaling is received after one prediction in at least one prediction for the first LTM event, wherein the first signaling indicates an LTM cell handover.

[0025] According to one aspect of the present application, it is characterized in that

[0026] the first signaling indicating an LTM cell handover includes: the first signaling indicates a first condition for performing an LTM cell handover, and when the first condition is satisfied, an LTM cell handover is performed.

[0027] According to one aspect of the present application, it is characterized in that

[0028] the information on the radio link failure includes L1-filtered measurement results on N pairs of at least one RS resource after the result of the first prediction in the results of at least one prediction for the first LTM event; wherein, N is a positive integer greater than 1.

[0029] According to one aspect of the present application, it is characterized in that

[0030] the information on the radio link failure includes whether at least M L1-filtered measurement results are reported or are available after the result of the earliest prediction in the results of at least one prediction for the first LTM event.

[0031] According to one aspect of the present application, it is characterized in that

[0032] the information on the radio link failure indicates whether there is an ongoing BFR (Beam Failure Recovery) process when the radio link failure is detected.

[0033] According to one aspect of the present application, it is characterized in that

[0034] The information on the radio link failure indicates whether there is an ongoing mobility procedure for the PSCell at the time of detecting the radio link failure, and the mobility procedure for the PSCell includes at least one of CPAC (conditional PSCell Change or Addition) and LTM.

[0035] According to one aspect of the present application, it is characterized in that

[0036] The information on the radio link failure includes the predicted result for the first LTM event within the first time window.

[0037] As an embodiment, the length of the first time window is limited.

[0038] Specifically, according to one aspect of the present application, the terminal is an Internet of Things terminal.

[0039] Specifically, according to one aspect of the present application, the terminal is a user equipment.

[0040] Specifically, according to one aspect of the present application, the terminal is an access network device.

[0041] Specifically, according to one aspect of the present application, the terminal is a vehicle-mounted terminal.

[0042] Specifically, according to one aspect of the present application, the terminal is an aircraft.

[0043] Specifically, according to one aspect of the present application, the terminal is a mobile phone.

[0044] The present application discloses a method used in a base station, which is characterized by including:

[0045] In response to detecting a radio link failure, record the information on the radio link failure; wherein, the information on the radio link failure indicates the result of at least one prediction for the first LTM event before detecting the radio link failure; receive a first message, which is generated from the recorded information on the radio link failure; wherein, whether the entry condition of the first LTM event is satisfied depends on the comparison between the measurement result on at least one RS resource passing through an L1 filter and a first threshold; the result of at least one prediction for the first LTM event includes at least one of at least one prediction that the entry condition of the first LTM event is satisfied and at least one prediction that the entry condition of the first LTM event is not satisfied.

[0046] According to one aspect of the present application, it is characterized in that

[0047] The information on the radio link failure indicates the results of at least N1 predictions for a first LTM event before the detected radio link failure; the information on the radio link failure indicates the results of at least N2 predictions for a second LTM event before the detected radio link failure; wherein, both N1 and N2 are positive integers.

[0048] According to one aspect of the present application, it is characterized in that

[0049] The information on the radio link failure includes whether a first signaling is sent after one prediction in at least one prediction for the first LTM event, wherein the first signaling indicates an LTM cell handover.

[0050] According to one aspect of the present application, it is characterized in that

[0051] The first signaling indicating an LTM cell handover includes: the first signaling indicates a first condition for performing an LTM cell handover, and when the first condition is satisfied, an LTM cell handover is performed.

[0052] According to one aspect of the present application, it is characterized in that

[0053] The information on the radio link failure includes the L1-filtered measurement results on N pairs of the at least one RS resource after the result of the first prediction in the results of at least one prediction for the first LTM event; wherein, N is a positive integer greater than 1.

[0054] According to one aspect of the present application, it is characterized in that

[0055] The information on the radio link failure includes whether at least M L1-filtered measurement results have been reported or exist after the result of the earliest prediction in the results of at least one prediction for the first LTM event.

[0056] According to one aspect of the present application, it is characterized in that

[0057] The information on the radio link failure indicates whether there is an ongoing BFR process when the radio link failure is detected.

[0058] According to one aspect of the present application, it is characterized in that

[0059] The information on the radio link failure indicates whether there is an ongoing mobility process for the PSCell when the radio link failure is detected, and the mobility process for the PSCell includes at least one of CPAC and LTM.

[0060] According to one aspect of the present application, it is characterized in that

[0061] The information on the radio link failure includes the result of prediction for the first LTM event within the first time window.

[0062] This application discloses a terminal, including:

[0063] The terminal includes one or more processors and a memory;

[0064] The memory is coupled to the one or more processors. The memory is used to store computer program code, and the computer program code includes computer instructions. The one or more processors call the computer instructions to enable the terminal to execute any of the methods in the method of the terminal.

[0065] This application discloses a base station, including:

[0066] The base station includes one or more processors and a memory;

[0067] The memory is coupled to the one or more processors. The memory is used to store computer program code, and the computer program code includes computer instructions. The one or more processors call the computer instructions to enable the base station to execute any of the methods in a method used in the base station.

[0068] As an embodiment, compared with the traditional solution, this application has the following advantages:

[0069] Better support for RLF report and LTM, ensuring the quality of communication, avoiding disconnection, especially avoiding disconnection during handover.

[0070] Better support for the transmission of services with high requirements for latency, such as including XR services.

[0071] Better support for the transmission of services with strong burstiness, such as including XR services.

[0072] Avoid inconsistent understanding of RLF report between the network and the terminal, avoiding misoperations.

[0073] It is possible to reduce signaling overhead. For example, the first message indicates the result of at least one prediction for the first LTM event, avoiding multiple reports of measurement results and reducing signaling overhead.

[0074] Different from traditional events based on L3 measurement, such as Event A2, Event A3, Event A4, Event A5, etc. defined by the 3GPP protocol, LTM Event is based on L1 measurement, which is more sensitive, has smaller granularity, is more accurate, and is tens to hundreds of times faster than L3 measurement. The use of prediction-based LTM Event greatly expands the space for network optimization. It is a new optimization method with great potential and is of great significance in assisting in improving network performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] Other features, objects and advantages of the present application will become more apparent by reading the detailed description of non-limiting embodiments with reference to the following drawings:

[0076] Figure 1 A flow chart showing communication with a receiving terminal according to an embodiment of the present application is shown;

[0077] Figure 2 A schematic diagram of a network architecture according to an embodiment of the present application is shown;

[0078] Figure 3 A schematic diagram showing an embodiment of a wireless protocol architecture of a user plane and a control plane according to an embodiment of the present application;

[0079] Figure 4 A schematic diagram showing a first communication device and a second communication device according to an embodiment of the present application is shown;

[0080] Figure 5 A flowchart of wireless signal transmission according to an embodiment of the present application is shown;

[0081] Figure 6 A schematic diagram showing the first LTM event prediction number according to an embodiment of the present application is shown;

[0082] Figure 7 A schematic diagram showing the prediction result for the first LTM event within the first time window according to an embodiment of the present application;

[0083] Figure 8 A flowchart showing other processes when RLF is detected according to an embodiment of the present application is shown;

[0084] Figure 9 A structural block diagram of a processing device used in a terminal according to an embodiment of the present application is shown;

[0085] Figure 10 A structural block diagram of a processing device used in a base station according to an embodiment of the present application is shown;

[0086] Figure 11 Shows a schematic diagram of the transmission of a first notification and a second notification according to an embodiment of the present application;

[0087] Figure 12 Shows a schematic diagram of an intelligent model according to an embodiment of the present application;

[0088] Figure 13 Shows a schematic diagram of the intelligent function deployment in the RAN (Radio Access Network) domain according to an embodiment of the present application;

[0089] Figure 14 Illustrates a schematic diagram of the UE intelligent function deployment according to an embodiment of the present application;

[0090] Figure 15 Illustrates a flowchart based on artificial intelligence or machine learning according to an embodiment of the present application. Detailed implementation manners

[0091] The technical solutions of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be noted that, without conflict, the embodiments and features in the embodiments of the present application can be combined with each other arbitrarily.

[0092] Example 1

[0093] Embodiment 1 illustrates a flowchart of the communication of a receiving terminal according to an embodiment of the present application, as shown in the accompanying Figure 1 figures. In the accompanying Figure 1 figures, each box represents a step. It should be emphasized in particular that the order of the boxes in the figure does not represent the chronological order between the represented steps.

[0094] In Embodiment 1, the terminal in the present application detects a radio link failure in step 101; records the information of the radio link failure in step 102; and sends a first message in step 103.

[0095] Among them, in response to detecting a radio link failure, information on the radio link failure is recorded; among them, the information on the radio link failure indicates the result of at least one prediction for a first LTM event before the detection of the radio link failure; a first message is sent, and the first message is generated from the recorded information on the radio link failure; among them, whether the entry condition of the first LTM event is satisfied depends on the comparison between the measurement result on at least one RS resource passing through an L1 filter and a first threshold; the result of at least one prediction for the first LTM event includes at least one of: at least one prediction that the entry condition of the first LTM event is satisfied, and at least one prediction that the entry condition of the first LTM event will not be satisfied.

[0096] As an embodiment, the terminal is a UE (User Equipment).

[0097] As an embodiment, the terminal refers to a communication device composed of hardware such as a baseband, a radio frequency, and one or two SIM cards.

[0098] As an embodiment, the first message is an RRC message.

[0099] As an embodiment, the first LTM event refers to an LTM event.

[0100] As an embodiment, the terminal is in the RRC connected state.

[0101] As an embodiment, any parameter in this application is either configured by the network or can be generated by the terminal according to an internal algorithm, such as randomly.

[0102] As an embodiment, the value of any parameter in this application, including but not limited to the information on the radio link failure, the measurement result, and the first threshold, is finite unless otherwise stated.

[0103] As a sub - embodiment of this embodiment, the upper limit of the value of any parameter in this application is 1024 times of 65536.

[0104] As a sub - embodiment of this embodiment, the upper limit of the value of any parameter in this application is 65536 or 65535.

[0105] As a sub - embodiment of this embodiment, the upper limit of the value of any parameter in this application is 1024.

[0106] As a sub - embodiment of this embodiment, the upper limit of the value of any parameter in this application is 640 or 320.

[0107] As an embodiment, this application is for NR.

[0108] As an embodiment, the present application is directed to a wireless communication network after NR.

[0109] As an embodiment, the radio link failure is due to the timeout of T310.

[0110] As an embodiment, the radio link failure is caused by a random access problem.

[0111] As an embodiment, the radio link failure is because the source MCG (Master Cell Group) RLC (Radio Link Control) indication reaches the maximum retransmission count.

[0112] As an embodiment, the radio link failure is because the source MCG MAC (Medium Access Control) issues a consistency uplink LBT failure indication.

[0113] As an embodiment, the first LTM event includes that the measurement result for the serving cell is less than a first target threshold; the first RRC message indicates the first target threshold; the first LTM event is an EventA2.

[0114] As an embodiment, the first LTM event includes that the measurement result for a candidate cell is greater than the measurement result for the serving cell plus an offset; the first LTM event is an EventA3.

[0115] As an embodiment, the first LTM event includes that the measurement result for a candidate cell is greater than a second target threshold; the first RRC message indicates the second target threshold; the first LTM event is an EventA4.

[0116] As an embodiment, the first LTM event includes that the measurement result for the serving cell is less than a third target threshold and the measurement result for a candidate cell is greater than a fourth target threshold; the first RRC message indicates the third target threshold and the fourth target threshold; the first LTM event is an EventA5.

[0117] As an embodiment, the first LTM event occurs before the RLF.

[0118] As an embodiment, it is predicted that the first LTM event occurs before the RLF.

[0119] As an embodiment, the result of at least one prediction for the first LTM event is the result of one prediction.

[0120] As an example, the result of at least one prediction for the first LTM event is the result of multiple predictions.

[0121] As an example, the result of at least one prediction for the first LTM event is predicted by AI.

[0122] As an example, the first LTM event prediction is performed by an intelligent model of the terminal for the LTM event prediction.

[0123] As an example, the first LTM event prediction is performed by the terminal based on UE implementation.

[0124] As an example, the first LTM event prediction is performed by the terminal based on network configuration.

[0125] As an example, the first LTM event prediction is performed by the terminal based on UE implementation and network configuration.

[0126] As an example, the first LTM event prediction is based on the latest measurement results.

[0127] As an example, the first LTM event prediction is based on previous measurement results.

[0128] As an example, the first LTM event prediction is based on the information stored in the terminal.

[0129] As an example, the first LTM event prediction is based on the information provided by the network.

[0130] As an example, the first LTM event prediction includes reasoning.

[0131] As an example, the first LTM event prediction includes training.

[0132] As an example, the first LTM event prediction includes training and reasoning.

[0133] As an example, the first LTM event prediction includes predicting link quality.

[0134] As an example, the first LTM event prediction refers to predicting whether an LTM event will occur.

[0135] As an example, the first LTM event prediction refers to predicting the probability of an LTM event occurring.

[0136] As an example, the first LTM event prediction refers to predicting the time when an LTM event will occur.

[0137] As an example, the first LTM event prediction refers to the time interval when it is predicted that no LTM event will occur.

[0138] As an example, the first LTM event prediction refers to the probability of the occurrence of an LTM event that changes over time.

[0139] As an example, the result of the at least one prediction is for the mobility of the source serving cell.

[0140] As an example, the result of the at least one prediction is for the mobility of the source SpCell.

[0141] As an example, any one of the LTM events in the result of the at least one prediction is the same.

[0142] As an example, any one of the LTM events in the result of the at least one prediction is different.

[0143] As an example, any one of the LTM events in the result of the at least one prediction is EventA2.

[0144] As an example, any one of the LTM events in the result of the at least one prediction is EventA3.

[0145] As an example, any one of the LTM events in the result of the at least one prediction is EventA4.

[0146] As an example, any one of the LTM events in the result of the at least one prediction is EventA5.

[0147] As an example, any one of the LTM events in the result of the at least one prediction is one of EventA2, A3, A4, A5.

[0148] As an example, any one of the LTM events in the result of the at least one prediction is one of Event LTM2, Event LTM3, Event LTM4, EventLTM5.

[0149] As an example, any one of the LTM events in the result of the at least one prediction is one of LTM Event2, LTMEvent3, LTM Event4, LTM Event5.

[0150] As an example, the candidate cell is a candidate SpCell.

[0151] As an example, the candidate cell is an LTM candidate SpCell.

[0152] As an embodiment, the candidate cell is a target SpCell.

[0153] As an embodiment, the candidate cell is a candidate target SpCell.

[0154] As an embodiment, the SpCell is a PCell.

[0155] As an embodiment, the SpCell is a PSCell.

[0156] As an embodiment, the first message is an air interface signaling.

[0157] As an embodiment, the first message is transmitted via PUSCH.

[0158] As an embodiment, the first message is transmitted via PUCCH.

[0159] As an embodiment, the first message is SRB1 (Signalling radio bearer).

[0160] As an embodiment, the first message is SRB2.

[0161] As an embodiment, the first message includes a UEAssistanceInformation IE.

[0162] As an embodiment, the first message includes a UEInformationResponse IE.

[0163] As an embodiment, the first message includes an rlf-ReportIE.

[0164] As an embodiment, the first message includes measResultLastServCell.

[0165] As an embodiment, the first message includes measResultNeighCells.

[0166] As an embodiment, the first message includes measResultListNR.

[0167] As an embodiment, the first message includes measResultListEUTRA.

[0168] As an embodiment, the advantage of using the first message is lower complexity.

[0169] As an example, the first message indicates that the entry condition of the first LTM event is satisfied.

[0170] As an example, the first message indicates that the entry condition of the first LTM event is satisfied multiple times.

[0171] As an example, the first message indicates the measurement result when the entry condition of the first LTM event is satisfied.

[0172] As an example, the first message indicates the measurement result when the entry condition of the first LTM event is satisfied multiple times.

[0173] As an example, the first message indicates that the entry condition of the first LTM event is not satisfied.

[0174] As an example, the first message indicates that the entry condition of the first LTM event is not satisfied multiple times.

[0175] As an example, the first message indicates the measurement result when the entry condition of the first LTM event is not satisfied.

[0176] As an example, the first message indicates the measurement result when the entry condition of the first LTM event is not satisfied multiple times.

[0177] As an example, the first signaling indicates the type of the first LTM event.

[0178] As an example, the measurement result is the result after passing through the L1 filter.

[0179] As an example, the first threshold is indicated before the LTM event occurs.

[0180] As an example, the first threshold is indicated before RLF.

[0181] As an example, the first threshold is indicated by the network.

[0182] As an example, different LTM events have different first thresholds.

[0183] As an example, the first threshold refers to the first target threshold.

[0184] As an example, the first threshold refers to the second target threshold.

[0185] As an example, the first threshold refers to the third target threshold.

[0186] As an example, the first threshold refers to the fourth target threshold.

[0187] As an example, the first threshold is pre-configured.

[0188] As an example, the first threshold is updatable.

[0189] As an example, the first threshold is obtained by calculation.

[0190] As an example, the results of at least one prediction of the first LTM event include predicting that the first LTM event is satisfied and predicting that the first LTM event is not satisfied.

[0191] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the comparison result between the measurement result on at least one RS resource passing through the L1 filter and the first threshold is that EventA2 holds.

[0192] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the measurement result for the serving cell is less than the first target threshold.

[0193] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the comparison result between the measurement result on at least one RS resource passing through the L1 filter and the first threshold is that EventA3 holds.

[0194] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the measurement result for the candidate cell is greater than the measurement result for the serving cell plus an offset.

[0195] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the comparison result between the measurement result on at least one RS resource passing through the L1 filter and the first threshold is that EventA4 holds.

[0196] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the measurement result for the candidate cell is greater than the second target threshold.

[0197] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the comparison result between the measurement result on at least one RS resource passing through the L1 filter and the first threshold is that EventA5 holds.

[0198] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the measurement result for the serving cell is less than a third target threshold and the measurement result for the candidate cell is greater than a fourth target threshold.

[0199] As an example, the result of at least one prediction of the first LTM event includes a prediction that the first LTM event is satisfied and a prediction that the first LTM event is not satisfied.

[0200] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the comparison result between the measurement result on at least one RS resource passing through the L1 filter and the first threshold is that EventA2 does not hold.

[0201] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the measurement result for the serving cell is not less than a first target threshold.

[0202] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the comparison result between the measurement result on at least one RS resource passing through the L1 filter and the first threshold is that EventA3 does not hold.

[0203] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the measurement result for the candidate cell is not greater than the measurement result of the serving cell plus an offset.

[0204] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the comparison result between the measurement result on at least one RS resource passing through the L1 filter and the first threshold is that EventA4 does not hold.

[0205] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the measurement result for the candidate cell is not greater than a second target threshold.

[0206] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the comparison result between the measurement result on at least one RS resource passing through the L1 filter and the first threshold is that EventA5 does not hold.

[0207] As an example, the at least one prediction that the entry condition of the first LTM event is satisfied means that the measurement result for the serving cell is not less than a third target threshold or the measurement result for the candidate cell is not greater than a fourth target threshold.

[0208] As an example, "not less than" means "equal to".

[0209] As an embodiment, "not less than" means "greater than".

[0210] As an embodiment, "not greater than" means "equal to".

[0211] As an embodiment, "not greater than" means "less than".

[0212] As an embodiment, the results of at least one prediction for the first LTM event are all that the entry condition of the first LTM event is predicted to be satisfied.

[0213] As an embodiment, the results of at least one prediction for the first LTM event are all that the entry condition of the first LTM event is predicted not to be satisfied.

[0214] As an embodiment, the results of at least one prediction for the first LTM event are that part of the first LTM event is predicted to be satisfied, and the remaining part is predicted not to be satisfied.

[0215] As an embodiment, the result of at least one prediction for the first LTM event includes only one predicted result.

[0216] As an embodiment, the result of at least one prediction for the first LTM event includes multiple predicted results.

[0217] As an embodiment, the results of at least one prediction for the first LTM event are all successfully reported.

[0218] As an embodiment, the results of at least one prediction for the first LTM event are all successfully reported to the network.

[0219] As an embodiment, the terminal is required to record the results of at least multiple predictions for the first LTM event.

[0220] As an embodiment, the terminal is required to record how many prediction results for the first LTM event depend on the first LTM event.

[0221] As a sub - embodiment of the above - mentioned embodiment, different first LTM events have different numbers of predictions for the first LTM event.

[0222] As a sub - embodiment of the above - mentioned embodiment, different first LTM events have the same number of predictions for the first LTM event.

[0223] As an example, the terminal has a first UE capability, and the first UE capability supports AI / ML (artificial intelligence / machine learning).

[0224] As an example, the terminal sends the first UE capability, and the prediction of the first LTM event depends on the first UE capability.

[0225] Example 2

[0226] Example 2 illustrates a schematic diagram of a network architecture according to the present application, as shown in the appendix Figure 2 as follows.

[0227] Appendix Figure 2A diagram showing the network architecture 200 of 5G NR, LTE (Long-Term Evolution), and LTE-A (Long-Term Evolution Advanced) systems. The 5G NR or LTE network architecture 200 may be referred to as 5GS (5G System) / EPS (Evolved Packet System) or some other suitable term. The 5GS / EPS 200 may include one or more UEs (User Equipment) 201, NG-RAN (Next Generation Radio Access Network) 202, 5GC (5G Core Network) / EPC (Evolved Packet Core) 210, HSS (Home Subscriber Server) / UDM (Unified Data Management) 220, and Internet services 230. The 5GS / EPS may be interconnected with other access networks, but these entities / interfaces are not shown for simplicity. As shown, the 5GS / EPS provides packet-switched services. However, those skilled in the art will readily understand that the various concepts presented throughout this application can be extended to networks that provide circuit-switched services or other cellular networks. The NG-RAN includes NR Node B (gNB) 203 and other gNBs 204. The gNB 203 provides user and control plane protocol termination towards the UE 201. The gNB 203 may be connected to other gNBs 204 via the Xn interface (e.g., backhaul). The gNB 203 may also be referred to as a base station, base transceiver station, radio base station, radio transceiver, transceiver function, basic service set (BSS), extended service set (ESS), TRP (Transmit Receive Point), or some other suitable term. The gNB 203 provides an access point to the 5GC / EPC 210 for the UE 201. Examples of UEs 201 include cellular phones, smartphones, Session Initiation Protocol (SIP) phones, laptop computers, personal digital assistants (PDAs), satellite radios, non-terrestrial base station communications, satellite mobile communications, global positioning systems, multimedia devices, video devices, digital audio players (e.g., MP3 players), cameras, game consoles, drones, aircraft, narrowband Internet of Things devices, machine type communication devices, land vehicles, automobiles, wearable devices, or any other similar functional devices. Those skilled in the art may also refer to the UE 201 as a mobile station, subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, or some other suitable term.gNB 203 is connected to 5GC / EPC 210 via the S1 / NG interface. 5GC / EPC 210 includes MME (Mobility Management Entity) / AMF (Authentication Management Field) / SMF (Session Management Function) 211, other MME / AMF / SMF 214, S-GW (Service Gateway) / UPF (User Plane Function) 212, and P-GW (Packet Date Network Gateway) / UPF 213. MME / AMF / SMF 211 is a control node that processes the signaling between UE 201 and 5GC / EPC 210. Generally, MME / AMF / SMF 211 provides bearer and connection management. All user IP (Internet Protocal) packets are transmitted through S-GW / UPF 212, and S-GW / UPF 212 itself is connected to P-GW / UPF 213. The P-GW provides UE IP address allocation and other functions. P-GW / UPF 213 is connected to the Internet service 230. The Internet service 230 includes operator-corresponding Internet protocol services, which may specifically include the Internet, intranet, IMS (IP Multimedia Subsystem), and packet-switched streaming services.

[0228] As an embodiment, the terminal in this application is UE 201.

[0229] As an embodiment, the base station of the network node in this application is gNB 203.

[0230] As an embodiment, the radio link from the UE 201 to the NR Node B is an uplink.

[0231] As an embodiment, the radio link from the NR Node B to the UE 201 is a downlink.

[0232] As an embodiment, the UE 201 supports relay transmission.

[0233] As an embodiment, the UE 201 includes a mobile phone.

[0234] As an embodiment, the UE 201 is a vehicle including an automobile.

[0235] As an embodiment, the gNB 203 is a macrocellular base station.

[0236] As an example, the gNB 203 is a Micro Cell base station.

[0237] As an example, the gNB 203 is a Pico Cell base station.

[0238] As an example, the gNB 203 is an aerial platform device.

[0239] As an example, the gNB 203 is a satellite device.

[0240] Example 3

[0241] Embodiment 3 shows a schematic diagram of an embodiment of a radio protocol architecture for a user plane and a control plane according to the present application, as shown in the appendix Figure 3 as follows. Figure 3 It is a schematic diagram illustrating an embodiment of a radio protocol architecture for a user plane 350 and a control plane 300, Figure 3Show the radio protocol architecture of the control plane 300 for the terminal (UE, gNB) and network node (gNB, UE), or between two UEs, using three layers: Layer 1, Layer 2, and Layer 3. Layer 1 (L1 layer) is the lowest layer and implements various PHY (Physical Layer) signal processing functions. Layer 1 will be referred to as PHY 301 in this document. Layer 2 (L2 layer) 305 is above PHY 301 and is responsible for the link between the terminal and the network node and between two UEs through PHY 301. Layer 2 305 includes a MAC (Medium Access Control) sublayer 302, an RLC (Radio Link Control) sublayer 303, and a PDCP (Packet Data Convergence Protocol) sublayer 304, and these sublayers terminate at the network node. The PDCP sublayer 304 provides multiplexing between different radio bearers and logical channels. The PDCP sublayer 304 also provides security by encrypting data packets and provides support for handover of the terminal between network nodes. The RLC sublayer 303 provides segmentation and reassembly of upper layer data packets, retransmission of lost data packets, and reordering of data packets to compensate for out-of-order reception due to HARQ. The MAC sublayer 302 provides multiplexing between logical and transport channels. The MAC sublayer 302 is also responsible for allocating various radio resources (e.g., resource blocks) in a cell between terminals. The MAC sublayer 302 is also responsible for HARQ operations. The RRC sublayer 306 in Layer 3 (L3 layer) of the control plane 300 is responsible for obtaining radio resources (i.e., radio bearers) and configuring the lower layers using RRC signaling between the network node and the terminal. The radio protocol architecture of the user plane 350 includes Layer 1 (L1 layer) and Layer 2 (L2 layer). For the terminal and the network node in the user plane 350, the radio protocol architecture for the physical layer 351, the PDCP sublayer 354 in the L2 layer 355, the RLC sublayer 353 in the L2 layer 355, and the MAC sublayer 352 in the L2 layer 355 is generally the same as the corresponding layers and sublayers in the control plane 300, but the PDCP sublayer 354 also provides header compression for upper layer data packets to reduce radio transmission overhead. The L2 layer 355 in the user plane 350 also includes an SDAP (Service Data Adaptation Protocol) sublayer 356, and the SDAP sublayer 356 is responsible for the mapping between QoS flows and data radio bearers (DRB, Data Radio Bearer) to support service diversity. SRB can be regarded as a service or interface provided by the PDCP layer to higher layers, such as the RRC layer. In the NR system, SRB includes SRB1, SRB2, and SRB3, which are used to transmit different types of control signaling respectively.The SRB is a bearer between the UE and the access network, used to transmit control signaling including RRC signaling between the UE and the access network. SRB1 is of particular significance to the UE. After each UE establishes an RRC connection, there will be an SRB1 for transmitting RRC signaling. Most signaling is transmitted through SRB1. If SRB1 is interrupted or unavailable, the UE must perform RRC reconstruction; one SRB1 is established for each RRC connection. SRB2 is generally only used to transmit NAS signaling or signaling related to security; one SRB2 is established for each RRC connection. The UE may not be configured with SRB3. Except for emergency services, the UE must establish an RRC connection with the network to perform subsequent communications. Although not shown, the terminal may have several upper layers above the L2 layer 355. In addition, it also includes a network layer (e.g., IP layer) terminated at the P-GW on the network side and an application layer terminated at the other end of the connection (e.g., a remote UE, a server, etc.).

[0242] As an embodiment, the Figure 3 radio protocol architecture in is applicable to the terminal described in this application.

[0243] As an embodiment, the Figure 3 radio protocol architecture in is applicable to the network node described in this application.

[0244] As an embodiment, the first message in this application is generated in RRC306 or MAC302 or PHY301.

[0245] Example 4

[0246] Embodiment 4 shows a schematic diagram of a first communication device and a second communication device according to an embodiment of this application, as shown in the appendix Figure 4 shown. Figure 4 is a block diagram of a first communication device 450 and a second communication device 410 that communicate with each other in the access network.

[0247] The first communication device 450 includes a controller / processor 459, a memory 460, a data source 467, a transmitting processor 468, a receiving processor 456. Optionally, it may further include a multi-antenna transmitting processor 457, a multi-antenna receiving processor 458, a transmitter / receiver 454, and an antenna 452.

[0248] The second communication device 410 includes a controller / processor 475, a memory 476, a receiving processor 470, a transmitting processor 416. Optionally, it may further include a multi-antenna receiving processor 472, a multi-antenna transmitting processor 471, a transmitter / receiver 418, and an antenna 420.

[0249] In the transmission from the second communication device 410 to the first communication device 450, at the second communication device 410, upper layer data packets from the core network are provided to the controller / processor 475. The controller / processor 475 implements the functionality of the L2 (Layer-2) layer. In the transmission from the second communication device 410 to the first communication device 450, the controller / processor 475 provides header compression, encryption, packet segmentation and reordering, multiplexing between logical and transport channels, and radio resource allocation to the first communication device 450 based on various priority metrics. The controller / processor 475 is also responsible for retransmission of lost packets and signaling to the first communication device 450. The transmit processor 416 and the multi-antenna transmit processor 471 implement various signal processing functions for the L1 layer (i.e., the physical layer). The transmit processor 416 implements encoding and interleaving to facilitate forward error correction (FEC) at the second communication device 410, and mapping of signal constellations based on various modulation schemes (e.g., binary phase shift keying (BPSK), quadrature phase shift keying (QPSK), M-phase shift keying (M-PSK), M-quadrature amplitude modulation (M-QAM)). The multi-antenna transmit processor 471 performs digital spatial precoding on the encoded and modulated symbols, including codebook-based precoding and non-codebook-based precoding, and beamforming processing, to generate one or more spatial streams. The transmit processor 416 then maps each spatial stream to subcarriers, multiplexes with reference signals (e.g., pilots) in the time domain and / or frequency domain, and then uses the inverse fast Fourier transform (IFFT) to generate a physical channel carrying time-domain multi-carrier symbol streams. Subsequently, the multi-antenna transmit processor 471 performs transmit analog precoding / beamforming operations on the time-domain multi-carrier symbol streams. Each transmitter 418 converts the baseband multi-carrier symbol streams provided by the multi-antenna transmit processor 471 into radio frequency streams and then provides them to different antennas 420.

[0250] In the transmission from the second communication device 410 to the first communication device 450, at the first communication device 450, each receiver 454 receives signals via its respective antenna 452. Each receiver 454 recovers the information modulated onto the radio frequency carrier and converts the radio frequency stream into a baseband multi-carrier symbol stream provided to the receive processor 456. The receive processor 456 and the multi-antenna receive processor 458 perform various signal processing functions of the L1 layer. The multi-antenna receive processor 458 performs receive analog precoding / beamforming operations on the baseband multi-carrier symbol stream from the receivers 454. The receive processor 456 uses the fast Fourier transform (FFT) to convert the baseband multi-carrier symbol stream after the receive analog precoding / beamforming operations from the time domain to the frequency domain. In the frequency domain, the physical layer data signal and the reference signal are demultiplexed by the receive processor 456, where the reference signal will be used for channel estimation, and the data signal recovers any spatial streams destined for the first communication device 450 after multi-antenna detection in the multi-antenna receive processor 458. The symbols on each spatial stream are demodulated and recovered in the receive processor 456, and soft decisions are generated. Subsequently, the receive processor 456 decodes and de-interleaves the soft decisions to recover the upper layer data and control signals transmitted by the second communication device 410 on the physical channel. Subsequently, the upper layer data and control signals are provided to the controller / processor 459. The controller / processor 459 performs the functions of the L2 layer. The controller / processor 459 may be associated with a memory 460 that stores program code and data. The memory 460 may be referred to as a computer-readable medium. In the transmission from the second communication device 410 to the second communication device 450, the controller / processor 459 provides demultiplexing between transport and logical channels, packet reassembly, decryption, header decompression, control signal processing to recover upper layer data packets from the core network. Subsequently, the upper layer data packets are provided to all protocol layers above the L2 layer. Various control signals may also be provided to the L3 for L3 processing.

[0251] In the transmission from the first communication device 450 to the second communication device 410, at the first communication device 450, the data source 467 is used to provide upper layer data packets to the controller / processor 459. The data source 467 represents all protocol layers above the L2 layer. Similar to the transmit function described at the second communication device 410 in the transmission from the second communication device 410 to the first communication device 450, the controller / processor 459 implements header compression, encryption, packet segmentation and reordering, and multiplexing between logical and transport channels based on radio resource allocation, and implements the L2 layer functions for the user plane and the control plane. The controller / processor 459 is also responsible for retransmission of lost packets and signaling to the second communication device 410. The transmit processor 468 performs modulation mapping and channel coding processing. The multi-antenna transmit processor 457 performs digital multi-antenna spatial precoding, including codebook-based precoding and non-codebook-based precoding, and beamforming processing. Subsequently, the transmit processor 468 modulates the generated spatial streams into multi-carrier / single-carrier symbol streams, and after passing through the analog precoding / beamforming operation in the multi-antenna transmit processor 457, provides them to different antennas 452 via the transmitter 454. Each transmitter 454 first converts the baseband symbol stream provided by the multi-antenna transmit processor 457 into a radio frequency symbol stream and then provides it to the antenna 452.

[0252] In the transmission from the first communication device 450 to the second communication device 410, the functions at the second communication device 410 are similar to the receive function described at the first communication device 450 in the transmission from the second communication device 410 to the first communication device 450. Each receiver 418 receives radio frequency signals through its corresponding antenna 420, converts the received radio frequency signals into baseband signals, and provides the baseband signals to the multi-antenna receive processor 472 and the receive processor 470. The receive processor 470 and the multi-antenna receive processor 472 jointly implement the L1 layer functions. The controller / processor 475 implements the L2 layer functions. The controller / processor 475 may be associated with a memory 476 that stores program code and data. The memory 476 may be referred to as a computer-readable medium. In the transmission from the first communication device 450 to the second communication device 410, the controller / processor 475 provides demultiplexing between transport and logical channels, packet reassembly, decryption, header decompression, and control signal processing to recover upper layer data packets from the UE 450. The upper layer data packets from the controller / processor 475 may be provided to the core network.

[0253] As an example, the first communication device 450 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor, and the first communication device 450 is at least: in response to detecting a radio link failure, record information about the radio link failure; wherein, the information about the radio link failure indicates the result of at least one prediction for a first LTM event before the detection of the radio link failure; send a first message, the first message being generated from the recorded information about the radio link failure; wherein, whether the entry condition of the first LTM event is satisfied depends on the comparison between the measurement result on at least one RS resource passing through an L1 filter and a first threshold; the result of at least one prediction for the first LTM event includes at least one of: at least one prediction that the entry condition of the first LTM event is satisfied, and at least one prediction that the entry condition of the first LTM event is not satisfied.

[0254] As an example, the first communication device 450 includes: a memory storing a computer-readable instruction program, the computer-readable instruction program generating actions when executed by at least one processor, the actions including: in response to detecting a radio link failure, record information about the radio link failure; wherein, the information about the radio link failure indicates the result of at least one prediction for a first LTM event before the detection of the radio link failure; send a first message, the first message being generated from the recorded information about the radio link failure; wherein, whether the entry condition of the first LTM event is satisfied depends on the comparison between the measurement result on at least one RS resource passing through an L1 filter and a first threshold; the result of at least one prediction for the first LTM event includes at least one of: at least one prediction that the entry condition of the first LTM event is satisfied, and at least one prediction that the entry condition of the first LTM event is not satisfied.

[0255] As an embodiment, the second communication device 410 includes: at least one processor and at least one memory, the at least one memory including computer program code; the at least one memory and the computer program code are configured to be used with the at least one processor. The second communication device 410 is at least: in response to detecting a radio link failure, record information about the radio link failure; wherein the information about the radio link failure indicates the result of at least one prediction of a first LTM event before the detection of the radio link failure; receive a first message, the first message being generated from the recorded information about the radio link failure; wherein whether the entry condition of the first LTM event is satisfied depends on the comparison between the measurement result on at least one RS resource passing through an L1 filter and a first threshold; the result of at least one prediction of the first LTM event includes at least one of: at least one prediction that the entry condition of the first LTM event is satisfied, and at least one prediction that the entry condition of the first LTM event is not satisfied.

[0256] As an embodiment, the second communication device 410 includes: a memory storing a computer-readable instruction program, the computer-readable instruction program generating actions when executed by at least one processor, the actions including: sending a first RRC message, wherein the first RRC message configures at least one event, and the first RRC message includes configuration information of a first cell; in response to detecting a radio link failure, record information about the radio link failure; wherein the information about the radio link failure indicates the result of at least one prediction of a first LTM event before the detection of the radio link failure; receive a first message, the first message being generated from the recorded information about the radio link failure; wherein whether the entry condition of the first LTM event is satisfied depends on the comparison between the measurement result on at least one RS resource passing through an L1 filter and a first threshold; the result of at least one prediction of the first LTM event includes at least one of: at least one prediction that the entry condition of the first LTM event is satisfied, and at least one prediction that the entry condition of the first LTM event is not satisfied.

[0257] As an embodiment, the first communication device 450 corresponds to the terminal in this application.

[0258] As an embodiment, the second communication device 410 corresponds to the network node in this application.

[0259] As an embodiment, the first communication device 450 is a UE.

[0260] As an embodiment, the first communication device 450 is a vehicle-mounted terminal.

[0261] As an example, the first communication device 450 is a mobile phone.

[0262] As an example, the second communication device 450 is a relay.

[0263] As an example, the second communication device 410 is a satellite.

[0264] As an example, the second communication device 410 is an aircraft.

[0265] As an example, the second communication device 410 is a base station.

[0266] As an example, the receiver 454 (including the antenna 452), the receiving processor 456, and the controller / processor 459 are used to send the first message in this application.

[0267] As an example, the receiver 454 (including the antenna 452), the receiving processor 456, and the controller / processor 459 are used to receive the first signaling in this application.

[0268] As an example, the transmitter 418 (including the antenna 420), the transmitting processor 416, and the controller / processor 475 are used to receive the first message in this application.

[0269] As an example, the transmitter 418 (including the antenna 420), the transmitting processor 416, and the controller / processor 475 are used to send the first signaling in this application.

[0270] Example 5

[0271] Example 5 exemplifies a wireless signal transmission flowchart according to an embodiment of this application, as shown in the appendix Figure 5 shown. In the appendix Figure 5 U01 corresponds to the terminal of this application. It should be specifically noted that the order in this example does not limit the signal transmission order and the implementation order in this application.

[0272] For Terminal U01, in step S5101, detect whether there will be RLF; if RLF is not detected, execute step S5102, otherwise, execute step S5104; in step S5102, predict the first LTM event; in step S5103, record the prediction result of the first LTM event; in step S5104, record the RLF information; in step S5105, send the first message; in step S5106, receive the first signaling; in step S5107, determine whether the first condition is satisfied, if the first condition is satisfied, execute step S5108, otherwise, do not execute step S5108; in step S5108, perform LTM cell handover.

[0273] For Base Station N02 , in step S5201, receive the first message; in step S5202, send the first signaling.

[0274] In Embodiment 5, in response to detecting radio link failure, record the information of the radio link failure; wherein, the information of the radio link failure indicates the result of at least one prediction for the first LTM event before the detected radio link failure; send the first message, the first message is generated by the recorded information of the radio link failure; wherein, whether the entry condition of the first LTM event is satisfied depends on the comparison between the measurement result on at least one RS resource passing through the L1 filter and the first threshold; the result of at least one prediction for the first LTM event includes: at least one prediction that the entry condition of the first LTM event is satisfied, and at least one prediction that the entry condition of the first LTM event will not be satisfied. The information of the radio link failure includes whether the first signaling is received after one prediction in at least one prediction for the first LTM event, wherein, the first signaling indicates LTM cell handover. The first signaling indicates LTM cell handover includes: the first signaling indicates the first condition for performing LTM cell handover, and when the first condition is satisfied, perform LTM cell handover.

[0275] As an embodiment, the base station N02 is the maintaining base station of a serving cell of the terminal U01.

[0276] As an embodiment, the base station N02 is the maintaining base station of the serving cell.

[0277] As an embodiment, the Figure 5 sequence number order in

[0278] As an embodiment, there is a wireless connection between the terminal U01 and the base station N02.

[0279] As an embodiment, there is a wired connection between the terminal U01 and the base station N02.

[0280] As an embodiment, there is a connection between the terminal U01 and the base station N02 through the Uu interface.

[0281] As an embodiment, the result of at least one prediction for the first LTM event is predicted by an intelligent model for predicting LTM events.

[0282] As an embodiment, the parameters of the intelligent model for predicting LTM events are provided by the base station N02.

[0283] As a sub - embodiment of the above - mentioned embodiment, the advantage of the above - mentioned method is that the base station has more comprehensive information and can uniformly schedule the terminal.

[0284] As an embodiment, the parameters of the intelligent model for predicting LTM events are obtained by the terminal U01 through self - training.

[0285] As a sub - embodiment of the above - mentioned embodiment, the advantage of the above - mentioned method is that the terminal can adjust the intelligent model according to its own situation, which is more flexible.

[0286] As an embodiment, the parameters of the intelligent model for LTM prediction include the identifier of the intelligent model for LTM prediction.

[0287] As an embodiment, the parameters of the intelligent model for LTM prediction include the type of the intelligent model for LTM prediction.

[0288] As an embodiment, optionally, the terminal U01 sends first UE capability information (not shown in the attachment); wherein, the first UE capability information indicates that the terminal U01 supports LTM event prediction. Figure 5 wherein, the first UE capability information indicates that the terminal U01 supports LTM event prediction.

[0289] As an embodiment, the result of at least one prediction for the first LTM event depends on the first UE capability information indicating that the terminal U01 supports LTM event prediction.

[0290] As an embodiment, the first UE capability information includes an RRC message; the RRC message indicates that the terminal U01 supports LTM event prediction.

[0291] As an embodiment, the first UE capability information includes an RRC message and a MAC CE; the RRC message indicates multiple UE capabilities; the MAC CE indicates from the multiple UE capabilities that the terminal U01 supports LTM event prediction.

[0292] As an embodiment, the one RRC message is a UECapabilityInformation message.

[0293] As an embodiment, the one RRC message is a UEAssistanceInformation message.

[0294] As an embodiment, the first UE capability information indicates parameters of at least one intelligent model supported by the terminal U01; optionally, the parameters may be the identifier of the intelligent model, may also be the type of the intelligent model, or may also be the function of the intelligent model, etc.

[0295] As a sub - embodiment of the above - mentioned embodiment, one of the at least one intelligent models supported by the terminal U01 is an intelligent model for LTM event prediction.

[0296] As an embodiment, the first UE capability information indicates that the terminal U01 supports LTM event prediction.

[0297] As an embodiment, the terminal U01 predicts a first LTM event when no RLF is detected.

[0298] As an embodiment, the terminal U01 records the prediction result after predicting the first LTM event.

[0299] As an embodiment, the terminal U01 saves the prediction result after predicting the first LTM event.

[0300] As an embodiment, if RLF is detected, the RLF information is recorded.

[0301] As an embodiment, the RLF information indicates the result of at least one prediction for the first LTM event.

[0302] As an embodiment, the RLF information indicates the prediction results within a time interval before the detection of RLF.

[0303] As an accessory embodiment of the above - mentioned sub - embodiment, the time interval is predefined.

[0304] As an accessory embodiment of the above - mentioned sub - embodiment, the first RRC message contains the configuration of the time interval.

[0305] As an accessory embodiment of the above - mentioned sub - embodiment, the time interval is optional.

[0306] As an accessory embodiment of the above - mentioned sub - embodiment, the time interval is obtained by calculation.

[0307] As a subsidiary embodiment of the above sub - embodiment, the period of time interval is obtained through reasoning.

[0308] As a subsidiary embodiment of the above sub - embodiment, the period of time interval is obtained through AI training.

[0309] As a subsidiary embodiment of the above sub - embodiment, the period of time interval is determined by the terminal.

[0310] As an embodiment, the RLF information is generated from the prediction result of the recorded first LTM event.

[0311] As an embodiment, the first message is generated from the RLF information.

[0312] As an embodiment, the first message indicates the prediction result of the recorded first LTM event.

[0313] As an embodiment, the satisfaction of the entry condition of the first LTM event means that at least one of EventA2, A3, A4, A5 is satisfied.

[0314] As an embodiment, the satisfaction of the entry condition of the first LTM event means that any one of EventA2, A3, A4, A5 is satisfied.

[0315] As an embodiment, the terminal U01 sends the first message.

[0316] As a sub - embodiment of the above embodiment, after the terminal U01 sends the first message, it listens for the first signaling.

[0317] As a sub - embodiment of the above embodiment, after the terminal U01 sends the first message, it listens for the first signaling within a period of time interval.

[0318] As a sub - embodiment of the above embodiment, after the terminal U01 sends the first message, it listens for the first signaling on the specified time - frequency resource.

[0319] As a sub - embodiment of the above embodiment, after the terminal U01 sends the first message, it starts a first timer and listens for the first signaling before the first timer expires.

[0320] As an embodiment, the terminal U01 receives the first signaling.

[0321] As an embodiment, the information of the radio link failure includes whether the first condition is satisfied before the radio link failure is detected.

[0322] As an example, the first condition is prediction-based.

[0323] As an example, the first condition is not prediction-based.

[0324] As an example, the first condition is measurement-based.

[0325] As a sub-example of this example, the first condition being measurement-based means being based on measurements on the at least one RS resource.

[0326] As a sub-example of this example, the first condition being measurement-based means being based on measurements on RS resources other than the at least one RS resource.

[0327] As a sub-example of the above example, after receiving the first signaling, the first condition starts to be evaluated.

[0328] As a sub-example of the above example, after receiving the first signaling, it is indicated that the first condition starts to be evaluated.

[0329] As a sub-example of the above example, after receiving the first signaling, the first condition is triggered to start being evaluated.

[0330] As a supplementary example of the above sub-example, after the first event starts to be evaluated, the evaluation of other conditions in the at least one condition except the first condition stops.

[0331] As a supplementary example of the above sub-example, after the first condition starts to be evaluated, the evaluation of other conditions in the at least one condition except the first condition continues.

[0332] As a sub-example of the above example, after a period of time after receiving the first signaling, the first condition starts to be evaluated.

[0333] As a sub-example of the above example, in response to receiving the first signaling, the MAC sublayer of the terminal sends a first indication to the RRC sublayer of the terminal.

[0334] As a sub-example of the above example, since the first signaling contains a first indication, the MAC sublayer of the terminal passes the first indication to the RRC sublayer of the terminal.

[0335] As a sub-example of the above example, in response to the RRC sublayer of the terminal receiving the first indication, the first condition is applied.

[0336] As a sub - embodiment of the above - mentioned embodiment, the RRC sub - layer of the terminal receives the response to the first indication and starts to evaluate the first condition.

[0337] As a sub - embodiment of the above - mentioned embodiment, the RRC sub - layer of the terminal receives the response to the first indication and instructs a lower layer to evaluate the first condition.

[0338] As a sub - embodiment of the above - mentioned embodiment, after the first signaling is received, the configuration information of the LTM cell is applied.

[0339] As a sub - embodiment of the above - mentioned embodiment, as a response to the satisfaction of the first condition, the configuration information of the LTM cell is applied.

[0340] As an embodiment, the first signaling triggers the terminal to perform an LTM cell handover.

[0341] As an embodiment, the first signaling triggers the terminal to immediately perform an LTM cell handover.

[0342] As an embodiment, the information of the radio link failure includes whether the first signaling is received after one of the at least one prediction for the first LTM event, which refers to whether the first signaling is received after one of the at least one prediction for the first LTM event and before the detection of the radio link failure.

[0343] Example 6

[0344] Embodiment 6 exemplifies a schematic diagram of the number of predictions of the first LTM event according to an embodiment of the present application, as shown in the appendix Figure 6 as follows.

[0345] For Terminal U01 , it is detected in step S6101 whether there will be an RLF; if no RLF is detected, step S6102 is executed, otherwise, step S6104 is executed; the first LTM event is predicted in step S6102; the prediction result of the first LTM event is recorded in step S6103; it is judged in step S6104 whether the number of measurement results is greater than N, if the number of measurement results is greater than N, step S6105 is executed, otherwise, step S6105 is not executed; RLF information is generated in step S5105.

[0346] In Embodiment 6, the information on the radio link failure includes the L1-filtered measurement results on N pairs of the at least one RS resource after the first prediction result among the results of at least one prediction for the first LTM event; where N is a positive integer greater than 1. The information on the radio link failure includes whether at least M L1-filtered measurement results have been reported or exist after the earliest prediction result among the results of at least one prediction for the first LTM event.

[0347] As an embodiment, the advantage of using the L1 filter is to reduce measurement noise and errors, enabling the terminal to perform handover quickly and with low latency.

[0348] As an embodiment, the L1 filter is located in the physical layer.

[0349] As an embodiment, the L1 filter can directly process signals, including modulation, demodulation, frequency conversion, signal amplification, etc.

[0350] As an embodiment, the L1 filter can eliminate or reduce noise and interference in the received signal to ensure signal quality.

[0351] As an embodiment, the types of the L1 filter include low-pass filter, high-pass filter, band-pass filter, and band-stop filter.

[0352] As an embodiment, the prediction result for the first LTM event requires at least N L1-filtered measurement results on the at least one RS resource to generate the RLF information.

[0353] As an embodiment, the prediction result for the first LTM event cannot generate the RLF information if there are no N L1-filtered measurement results on the at least one RS resource.

[0354] As an embodiment, the advantage of the above method is to provide the base station with sufficient measurement results, enabling the base station to make more correct decisions.

[0355] As an embodiment, the L1-filtered measurement result is the measurement result on one RS resource.

[0356] As an embodiment, the L1-filtered measurement result is the measurement result on multiple RS resources.

[0357] As an embodiment, N is a positive integer.

[0358] As an embodiment, N is greater than 1.

[0359] As an embodiment, the result of the earliest prediction is the result of the first prediction after the terminal U01 enters the connected state.

[0360] As an embodiment, the result of the earliest prediction is the result of the first prediction after the terminal recovers from RLF.

[0361] As an embodiment, the result of the earliest prediction is the result of the first prediction within a time interval before RLF.

[0362] As an embodiment, the at least M measurement results filtered by L1 are measurement results on the at least one RS resource.

[0363] As an embodiment, the at least M measurement results filtered by L1 are measurement results other than the at least one RS resource.

[0364] As an embodiment, the at least M measurement results filtered by L1 are measurement results on the beam for listening to PDCCH.

[0365] As an embodiment, the at least M measurement results filtered by L1 are measurement results on the current SSB of the current serving cell.

[0366] As an embodiment, if there are no M measurement results filtered by L1 after the earliest prediction result among the at least one prediction result for the first LTM event, the RLF information cannot be generated.

[0367] As a sub - embodiment of the above - mentioned embodiment, the advantage of doing so is to ensure that at least the result of the first prediction is valid, and to avoid the terminal sending the prediction result too late and not having enough time to report enough measurement results filtered by L1.

[0368] As an embodiment, if there are M measurement results filtered by L1 after the earliest prediction result among the at least one prediction result for the first LTM event, the RLF information is generated.

[0369] As an embodiment, the RLF information includes at least one prediction result for the first LTM event and at least N measurement results filtered by L1 for any prediction result.

[0370] Example 7

[0371] Embodiment 7 exemplifies a schematic diagram of the prediction result for the first LTM event within the first time window according to an embodiment of the present application, as shown in the appendix Figure 7 shown. In the appendix Figure 7Among them, the horizontal axis represents time, t7.1 is the start time of the first time window, t7.2 is the end time of the first time window, the solid unidirectional arrow indicates the moment when RLF is detected, the dashed unidirectional arrow indicates the moment when the LTM event is predicted, and there is a prediction evaluation opportunity corresponding to each prediction indication period.

[0372] In Embodiment 7, the information on the radio link failure includes the result of the prediction for the first LTM event within the first time window.

[0373] As an embodiment, the prediction of the first LTM event depends on the measurement result.

[0374] As an embodiment, the measurement result is RSRP (Reference Signal Received Power).

[0375] As an embodiment, the measurement result is RSRQ (Reference Signal Received Quality).

[0376] As an embodiment, the measurement result is RSSI (Received Signal Strength Indicator).

[0377] As an embodiment, the measurement result is SINR (Signal to Interferenceplus NoiseRatio).

[0378] As an embodiment, the measurement result is distance.

[0379] As an embodiment, the link quality of the serving cell is the measurement result filtered by L1.

[0380] As an embodiment, the length of the first time window is indicated by the network.

[0381] As an embodiment, the length of the first time window is determined by the terminal.

[0382] As an embodiment, the length of the first time window is indicated by the relevant information of the predicted RLF.

[0383] As an embodiment, the first time window includes at least the P prediction indication periods.

[0384] As an embodiment, the length of the first time window is not less than (P - 1) prediction indication periods.

[0385] As an example, the length of the first time window is not less than (P - 1) prediction indication periods and not greater than P prediction indication periods.

[0386] As an example, P is a positive integer greater than 1.

[0387] As an example, the RLF information includes all the prediction results for the first LTM event within the first time window.

[0388] As an example, the RLF information does not include all the prediction results for the first LTM event outside the first time window.

[0389] As an example, the first time window includes the start and end times of the first time window.

[0390] As an example, the prediction results for the first LTM event at the start and end times of the first time window are used to generate the RLF information.

[0391] Example 8

[0392] Example 8 illustrates a flowchart of the presence of other processes when RLF is detected according to an embodiment of the present application, as shown in the attached Figure 8 figure.

[0393] For Example 8, in step S801, RLF is detected; in step S802, it is determined whether there is an ongoing BFR process or a mobility process for the PSCell; in step S803, if there is an ongoing BFR process, the BFR process is executed; in step S804, if there is an ongoing mobility process for the PSCell, the mobility process for the PSCell is executed; in step S805, the RLF information is generated.

[0394] In Example 8, the information of the radio link failure indicates whether there is an ongoing BFR process when the radio link failure is detected. The information of the radio link failure indicates whether there is an ongoing mobility process for the PSCell when the radio link failure is detected, and the mobility process for the PSCell includes at least one of CPAC and LTM.

[0395] As an example, if there is an ongoing BFR process or a process for the PSCell, the BFR process or the process for the PSCell is maintained before receiving the second signaling.

[0396] As an example, the mobility procedure for the PSCell includes at least one of CPAC and LTM.

[0397] As an example, the second signaling is sent by the base station.

[0398] As an example, after receiving the second signaling, the BFR procedure is stopped.

[0399] As an example, after receiving the second signaling, the BFR procedure is aborted.

[0400] As an example, after receiving the second signaling, the BFR procedure is continued.

[0401] As an example, after receiving the second signaling, the mobility procedure for the PSCell is stopped.

[0402] As an example, after receiving the second signaling, the mobility procedure for the PSCell is aborted.

[0403] As an example, after receiving the second signaling, the mobility procedure for the PSCell is continued.

[0404] As an example, the second signaling is an RRC signaling.

[0405] As an example, the second signaling is a signaling below the RRC sublayer.

[0406] As an example, maintaining the BFR procedure or the procedure for the PSCell is continuing the BFR procedure or the procedure for the PSCell.

[0407] As an example, whether there is an ongoing BFR procedure or a procedure for the PSCell is used to generate RLF information.

[0408] As an example, the RLF information including whether there is an ongoing BFR procedure or a procedure for the PSCell is used to generate the first message.

[0409] As an example, if there is an ongoing BFR procedure or a procedure for the PSCell, the first message provides information for the base station to determine whether to maintain the ongoing BFR procedure or the procedure for the PSCell.

[0410] As an example, the second signaling carries the decision of the base station.

[0411] As an example, the advantage of the above method is that it is determined by the base station whether to maintain the ongoing BFR process or for the PSCell process. The base station has more comprehensive information and can make a more correct decision.

[0412] As an example, if there is no ongoing BFR process or for the PSCell process, the base station does not send the second signaling.

[0413] Example 9

[0414] Embodiment 9 exemplifies a structural block diagram of a processing device in a terminal according to an embodiment of the present application, as shown in the appendix Figure 9 as shown. In the appendix Figure 9 the processing device 900 in the terminal includes a first transmitter 901 and a first processor 902.

[0415] The first transmitter 901 sends a first message; wherein, the first message is generated from the recorded information of the radio link failure.

[0416] The first processor 902 records the information of the radio link failure;

[0417] wherein, in response to detecting a radio link failure, the information of the radio link failure is recorded; wherein, the information of the radio link failure indicates the result of at least one prediction for a first LTM event before the detected radio link failure; whether the entry condition of the first LTM event is satisfied depends on the comparison between the measurement result on at least one RS resource passing through an L1 filter and a first threshold; the result of at least one prediction for the first LTM event includes at least one of at least one prediction that the entry condition of the first LTM event is satisfied and at least one prediction that the entry condition of the first LTM event will not be satisfied.

[0418] As an example, for the first processor 902, the information of the radio link failure indicates the result of at least N1 predictions for a first LTM event before the detected radio link failure; the information of the radio link failure indicates the result of at least N2 predictions for a second LTM event before the detected radio link failure; wherein, both N1 and N2 are positive integers.

[0419] As an example, for the first processor 902, the information of the radio link failure includes whether a first signaling is received after one prediction in at least one prediction for the first LTM event, wherein the first signaling indicates an LTM cell handover.

[0420] As an embodiment, for the first processor 902, the first signaling indicating LTM cell handover includes: the first signaling indicating a first condition for performing LTM cell handover, and when the first condition is satisfied, performing LTM cell handover.

[0421] As an embodiment, for the first processor 902, the information on the radio link failure includes the L1-filtered measurement results on N pairs of the at least one RS resource after the first prediction result among the results of at least one prediction for the first LTM event; where N is a positive integer greater than 1.

[0422] As an embodiment, for the first processor 902, the information on the radio link failure includes whether at least M L1-filtered measurement results have been reported or exist after the earliest prediction result among the results of at least one prediction for the first LTM event.

[0423] As an embodiment, for the first processor 902, the information on the radio link failure indicates whether there is an ongoing BFR process when the radio link failure is detected.

[0424] As an embodiment, for the first processor 902, the information on the radio link failure indicates whether there is an ongoing mobility process for the PSCell when the radio link failure is detected, and the mobility process for the PSCell includes at least one of CPAC and LTM.

[0425] As an embodiment, for the first processor 902, the information on the radio link failure includes the prediction results for the first LTM event within a first time window.

[0426] As an embodiment, the first processor 902 includes a first transmitter.

[0427] As an embodiment, the first processor 902 includes the Figure 12 third module in ; the third module performs the first LTM event prediction.

[0428] As an embodiment, the first processor 902 includes the Figure 11 intelligent module 1101 in ; the intelligent module 1101 performs the first LTM event prediction.

[0429] As an embodiment, the first processor 902 includes the Figure 14 inference function 1406 in ; the inference function 1406 performs the first LTM event prediction.

[0430] As an embodiment, the first processor 902 includes at least one of the antenna 452, the receiver 454, the multi-antenna receiving processor 458, the receiving processor 456, the controller / processor 459, the memory 460, and the data source 467 attached to this application. Figure 4

[0431] As an embodiment, the first receiver includes at least the antenna 452 and the receiver 454 attached to this application. Figure 4

[0432] As an embodiment, the first transmitter 901 includes at least one of the antenna 452, the transmitter 454, the multi-antenna transmitting processor 457, the transmitting processor 468, the controller / processor 459, the memory 460, and the data source 467 attached to this application. Figure 4

[0433] As an embodiment, the first transmitter includes at least the antenna 452 and the transmitter 454 attached to this application. Figure 4

[0434] As an embodiment, the terminal includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the terminal to execute the method used in the terminal in this application; the one or more processors and the memory include the first transmitter 901 and the first processor 902.

[0435] Example 10

[0436] Embodiment 10 exemplifies a structural block diagram of a processing device for a base station according to an embodiment of this application, as shown in the attachment Figure 10 Figure 10 In the attachment, the processing device 1000 in the base station includes a second transmitter 1001 and a second receiver 1002.

[0437] The second receiver 1002 receives a first message; wherein the first message is generated from the recorded information of the radio link failure.

[0438] The second transmitter 1001, wherein the first signaling indicates an LTM cell handover.

[0439] ​​​​​In Embodiment 10, in response to detecting a radio link failure, information on the radio link failure is recorded; wherein, the information on the radio link failure indicates the result of at least one prediction for a first LTM event before the detection of the radio link failure; a first message is received, the first message being generated from the recorded information on the radio link failure; wherein, whether the entry condition of the first LTM event is satisfied depends on the comparison of the measurement result on at least one RS resource passing through an L1 filter with a first threshold; the result of at least one prediction for the first LTM event includes at least one of: at least one prediction that the entry condition of the first LTM event is satisfied, and at least one prediction that the entry condition of the first LTM event will not be satisfied.

[0440] As an embodiment, the information on the radio link failure indicates the result of at least N1 predictions for a first LTM event before the detection of the radio link failure; the information on the radio link failure indicates the result of at least N2 predictions for a second LTM event before the detection of the radio link failure; wherein, both N1 and N2 are positive integers.

[0441] As an embodiment, the information on the radio link failure includes whether a first signaling is sent after one prediction in at least one prediction for the first LTM event, wherein the first signaling indicates an LTM cell handover.

[0442] As an embodiment, the first signaling indicating an LTM cell handover includes: the first signaling indicates a first condition for performing an LTM cell handover, and when the first condition is satisfied, an LTM cell handover is performed.

[0443] As an embodiment, the information on the radio link failure includes the L1-filtered measurement results on the at least one RS resource after N pairs following the result of the first prediction in the result of at least one prediction for the first LTM event; wherein, N is a positive integer greater than 1.

[0444] As an embodiment, the information on the radio link failure includes whether at least M L1-filtered measurement results have been reported or exist after the result of the earliest prediction in the result of at least one prediction for the first LTM event.

[0445] As an embodiment, the information on the radio link failure indicates whether there is an ongoing BFR process when the radio link failure is detected.

[0446] As an embodiment, the information on the radio link failure indicates whether there is an ongoing mobility procedure for the PSCell when the radio link failure is detected, and the mobility procedure for the PSCell includes at least one of CPAC and LTM.

[0447] As an embodiment, the information on the radio link failure includes the prediction result for the first LTM event within the first time window.

[0448] As an embodiment, the processing device 1000 in the base station includes a second receiver.

[0449] As an embodiment, the processing device 1000 in the base station includes an attached Figure 12 third module in

[0450] As an embodiment, the processing device 1000 in the base station includes an attached Figure 13 training function 1302 of the RAN domain in

[0451] As an embodiment, the processing device 1000 in the base station includes an attached Figure 14 inference function 1406 in

[0452] As an embodiment, the processing device 1000 in the base station includes an attached Figure 13 one of the inference functions in, i.e., 1304 or 1306.

[0453] As an embodiment, the second transmitter 1001 includes at least one of the antenna 420 or the transmitter 418 or the multi-antenna transmission processor 471 or the transmission processor 416 or the controller / processor 475 or the memory 476 in the appendix of this application. Figure 4

[0454] Figure 4 As an embodiment, the second transmitter 1001 includes at least the antenna 420 and the transmitter 418 in the appendix of this application.

[0455] Figure 4 As an embodiment, the second receiver includes at least one of the antenna 420 or the receiver 418 or the multi-antenna reception processor 472 or the reception processor 470 or the controller / processor 475 or the memory 476 in the appendix of this application.

[0456] Figure 4

[0457] ​​​​​As an example, the base station includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to cause the base station to execute the method used in the base station in this application; the one or more processors and the memory include the second transmitter 1001.

[0458] Example 11

[0459] Embodiment 11 exemplifies a schematic diagram of the transmission of a first notification and a second notification according to an embodiment of the present application, as shown in the appendix Figure 11 shown. The terminal 1100 includes an intelligent module 1101 and a legacy module 1102.

[0460] In Embodiment 11, the intelligent module 1101 of the terminal 1100 sends the first notification; the legacy module 1102 of the terminal 1100 receives the first notification; wherein, the first notification indicates the predicted first LTM event.

[0461] In Embodiment 11, the intelligent module 1101 of the terminal 1100 sends the second notification; the legacy module 1102 of the terminal 1100 receives the second notification; wherein, the second notification indicates that the first LTM event is not predicted.

[0462] As an example, the execution of the first LTM prediction includes sending the first notification.

[0463] As an example, the intelligent module 1101 of the terminal 1100 sends a first notification in response to the execution of the first LTM event prediction; the legacy module 1102 of the terminal 1100 receives the first notification; wherein, the first notification indicates the predicted first LTM event.

[0464] As an example, the execution of the first LTM event prediction includes sending the first notification and receiving the first notification.

[0465] As an example, the first notification includes relevant information about the predicted first LTM event.

[0466] As an example, the intelligent module 1101 of the terminal 1100 sends a second notification in response to the execution of the first LTM event prediction; the legacy module 1102 of the terminal 1100 receives the second notification; wherein, the second notification indicates that the first LTM event is not predicted.

[0467] As an embodiment, the execution of the first LTM event prediction includes sending the second notification and receiving the second notification.

[0468] As an embodiment, the second notification includes information related to the un-predicted first LTM event.

[0469] As a sub - embodiment of the above - mentioned embodiment, the above method avoids triggering unreasonable UE behavior by updating prediction information.

[0470] As a sub - embodiment of the above - mentioned embodiment, the above method is beneficial to UE decision - making.

[0471] As a sub - embodiment of the above - mentioned embodiment, the un - predicted first LTM event means that it is predicted that no first LTM event will occur at the occurrence time of the predicted first LTM event.

[0472] As an embodiment, in response to receiving the first notification, send an indication to a lower layer; receive the indication at the RRC sub - layer.

[0473] As an embodiment, in response to receiving the first notification, send an indication to a higher layer; receive the indication at the RRC sub - layer.

[0474] As a sub - embodiment of the above - mentioned embodiment, the indication indicates the first notification.

[0475] As a sub - embodiment of the above - mentioned embodiment, the indication includes the first notification.

[0476] As an embodiment, in response to receiving the second notification, send an indication to a lower layer; receive the indication at the RRC sub - layer.

[0477] As an embodiment, in response to receiving the second notification, send an indication to a higher layer; receive the indication at the RRC sub - layer.

[0478] As a sub - embodiment of the above - mentioned embodiment, the indication indicates the second notification.

[0479] As a sub - embodiment of the above - mentioned embodiment, the indication includes the second notification.

[0480] As an embodiment, the legitimate module is logical.

[0481] As an embodiment, the legitimate module is physical.

[0482] As an example, if the entry condition of the first LTM event is satisfied, the legitimate module determines that the first LTM event has occurred.

[0483] As an example, in response to receiving the first notification, the legitimate module records the prediction result for the first LTM event.

[0484] As an example, the legitimate module is a protocol entity.

[0485] As an example, the legitimate module is an RRC protocol entity.

[0486] As an example, the legitimate module is in the RRC sublayer.

[0487] As an example, the legitimate module is in a higher layer than the RRC sublayer.

[0488] As an example, the legitimate module is in a lower layer than the RRC sublayer.

[0489] As an example, the legitimate module supports 3GPP Release 17.

[0490] As an example, the legitimate module supports 3GPP Release 18.

[0491] As an example, the legitimate module does not have either a training function or an inference function.

[0492] As an example, the legitimate module is not an intelligent module.

[0493] As an example, the intelligent module is a hardware.

[0494] As an example, the intelligent module is a software.

[0495] As an example, the intelligent module is a program.

[0496] As an example, the intelligent module is a function.

[0497] As an example, the intelligent module is a protocol entity.

[0498] As an example, the intelligent module is an AI entity.

[0499] As an example, the intelligent module is an ML entity.

[0500] As an example, the intelligent module is an AI / ML entity.

[0501] As an example, the intelligent module is logical.

[0502] As an example, the intelligent module is physical.

[0503] As an example, the intelligent module performs a first LTM event prediction.

[0504] As an example, the intelligent module processes the at least one intelligent model.

[0505] As an example, the intelligent module includes at least one of the second module or the third module in the intelligent model shown in Embodiment 12.

[0506] As an example, the interface between the legitimate module and the intelligent module is defined by the 3GPP protocol.

[0507] As an example, the interface between the legitimate module and the intelligent module is implemented based on the UE.

[0508] As an example, the interface between the legitimate module and the intelligent module is logical.

[0509] As an example, the interface between the legitimate module and the intelligent module is physical.

[0510] Example 12

[0511] Embodiment 12 exemplifies a schematic diagram of an intelligent model according to an embodiment of the present application, as shown in the appendix Figure 12 shown. The appendix Figure 12 includes a first module, a second module, a third module, a fourth module, and a fifth module.

[0512] In Embodiment 12, in the intelligent model shown in the appendix Figure 12 shown, the first module sends a first data set to the second module, the first module sends a second data set to the third module, the first module sends a third data set to the fifth module, the fifth module sends a first type of parameter group to the second module, the fifth module sends a second type of parameter group to the third module, the fifth module sends a third type of parameter group to the fourth module, the second module sends a fourth type of parameter group to the fourth module, and the fourth module sends a fifth type of parameter group to the third module.

[0513] As an example, the first module, the second module, the third module, the fourth module, and the fifth module in an intelligent model all belong to the terminal.

[0514] The above method avoids radio resource control (RRC) signaling interaction and reduces transmission delay.

[0515] As an embodiment, any one of the first module, the second module, the third module, the fourth module, and the fifth module in an intelligent model does not belong to the terminal.

[0516] The above method reduces the hardware complexity of the terminal.

[0517] As an embodiment, at least one of the first module, the second module, the third module, the fourth module, and the fifth module in an intelligent model belongs to the terminal; and at least one of the first module, the second module, the third module, the fourth module, and the fifth module belongs to a network node.

[0518] The above method balances the hardware complexity and transmission delay of the terminal.

[0519] As an embodiment, the first module is used for data collection.

[0520] As an embodiment, the first module is responsible for data collection.

[0521] As an embodiment, the first module has the function of data collection.

[0522] As an embodiment, the second module has the function of training.

[0523] As an embodiment, the training function is used for model training.

[0524] As an embodiment, the training function is responsible for model training.

[0525] As an embodiment, the training function has the function of model training.

[0526] As an embodiment, the training function performs model training.

[0527] As an embodiment, the second module performs validation.

[0528] As an embodiment, the second module performs testing.

[0529] As an embodiment, the second module generates model performance metrics.

[0530] As an example, the second module is responsible for data preparation.

[0531] As an example, the data preparation includes at least one of data pre-processing or cleaning or formatting or transformation.

[0532] As an example, the third module has an inference function.

[0533] As an example, the inference function is used for inference.

[0534] As an example, the inference function is responsible for inference.

[0535] As an example, the fourth module is used for model storage.

[0536] As an example, the fourth module has a model storage function.

[0537] As an example, the fourth module is responsible for storing the trained model.

[0538] As an example, the fourth module is responsible for storing the trained model that can be used to perform inference processing.

[0539] As an example, the fifth module is used for management.

[0540] As an example, the fifth module is responsible for management.

[0541] As an example, the fifth module has a management function.

[0542] As an example, the fifth module manages the intelligent model.

[0543] As an example, the first data set is training data.

[0544] As an example, the first data set is the input of the second module.

[0545] As an example, the second data set is inference data.

[0546] As an example, the second data set is the input of the third module.

[0547] As an example, the third data set is Monitoring Data.

[0548] As an example, the third data set is the input of the fifth module.

[0549] As an example, the first type of parameter group includes Monitoring output.

[0550] As an example, the second type of parameter group includes Management Instruction.

[0551] As an example, the second type of parameter group is used for the fine-tune operation of the inference function.

[0552] As an example, the second type of parameter group includes the identification of the model.

[0553] As an example, the second type of parameter group is used to select a model.

[0554] As an example, the second type of parameter group is used to switch models.

[0555] As an example, the second type of parameter group is used to activate / deactivate a model.

[0556] As an example, the second type of parameter group is used to fallback the intelligent model.

[0557] As an example, the third type of parameter group includes Model TransferRequest.

[0558] As an example, the third type of parameter group includes Model DeliveryRequest.

[0559] As an example, the fourth type of parameter group includes TrainedModel.

[0560] As an example, the fourth type of parameter group includes UpdatedModel.

[0561] As an example, the fourth type of parameter group indicates the identification of the model.

[0562] As an example, the fifth type of parameter group includes Model Transfer.

[0563] As an example, the fifth type of parameter group includes Model Delivery.

[0564] As an example, the fifth type of parameter group indicates the identity of the model.

[0565] As an example, the first type of output does not exist.

[0566] As an example, the first type of output exists.

[0567] As an example, the second module sends the first type of output to the fifth module.

[0568] As an example, the first type of output includes monitoring output.

[0569] As an example, the second type of output does not exist.

[0570] As an example, the second type of output exists.

[0571] As an example, the third module sends the second type of output to the fifth module.

[0572] As an example, the second type of output includes Inference Output.

[0573] As an example, the second type of output is used by the fifth module to monitor the performance of the AI / ML model.

[0574] As an example, the second type of output indicates the result of performing the first LTM event prediction.

[0575] As an example, the second type of output indicates the predicted first LTM event.

[0576] As an example, the second type of output includes information related to the predicted first LTM event.

[0577] As an example, the first data set in the intelligent model is configured by the network.

[0578] As an example, the first data set in the intelligent model is determined by the terminal.

[0579] As an example, the first data set in the intelligent model includes the stored data of the terminal; the stored data can come from the network, the log of the terminal, or other RAN nodes.

[0580] As an example, the first data set in the intelligent model includes measurement information of the terminal; the measurement information may be the movement state of the terminal, for example, the moving speed, or the number of cells switched within a given time interval, etc.; the measurement information may also be the measurement result for a reference signal, for example, a cell-level measurement result, or a beam-level measurement result, or a time-domain measurement result, or a frequency-domain measurement result, or a spatial-domain measurement result, or a combination thereof, etc.

[0581] As an example, the first data set in the intelligent model includes measurement results on at least one RS resource that has passed through an L1 filter.

[0582] As an example, the second data set in the intelligent model is configured by the network.

[0583] As an example, the second data set in the intelligent model is determined by the terminal.

[0584] As an example, the second data set in the intelligent model includes the stored data of the terminal; the stored data may come from the network, may also come from the log of the terminal, and may also come from other RAN nodes.

[0585] As an example, the second data set in the intelligent model includes measurement information of the terminal; the measurement information may be the movement state of the terminal, for example, the moving speed, or the number of cells switched within a given time interval, etc.; the measurement information may also be the measurement result for a reference signal, for example, a cell-level measurement result, or a beam-level measurement result, or a time-domain measurement result, or a frequency-domain measurement result, or a spatial-domain measurement result, or a combination thereof, etc.

[0586] As an example, the second data set in the intelligent model includes measurement results on at least one RS resource that has passed through an L1 filter.

[0587] As an example, the third data set in the intelligent model is configured by the network.

[0588] As an example, the third data set in the intelligent model is determined by the terminal.

[0589] As an example, the third data set in the intelligent model includes the stored data of the terminal; the stored data may come from the network, may also come from the log of the terminal, and may also come from other RAN nodes.

[0590] As an example, the third data set in the intelligent model includes measurement information of the terminal; the measurement information may be the movement state of the terminal, for example, the movement speed, or the number of cells switched within a given time interval, etc.; the measurement information may also be the measurement result for a reference signal, for example, a cell-level measurement result, or a beam-level measurement result, or a time-domain measurement result, or a frequency-domain measurement result, or a spatial-domain measurement result, or a combination thereof, etc.

[0591] As an example, the third data set in the intelligent model includes measurement results on at least one RS resource that has passed through an L1 filter.

[0592] As an example, a first LTM event prediction is performed through the intelligent model.

[0593] As an example, Example 11 is only to illustrate that the present application can be used in an intelligent model. This example does not limit the application of the present application to non-intelligent operations, and this example does not limit the application of the present application to other types of intelligent models to achieve an effect equivalent to the intelligent model shown in the appendix. Figure 11 shown intelligent model.

[0594] Example 13

[0595] Example 13 illustrates a schematic diagram of the intelligent function deployment in the RAN domain according to an embodiment of the present application; as shown in the appendix. Figure 13 shown. The gNB in Example 13 can be replaced with network devices such as an eNB, or a 6G base station, etc.

[0596] The intelligent functions in the RAN domain include training (also known as ML training, or AI training, or AI / ML training) functions, testing functions, inference (also known as ML inference, or AI inference, or AI / ML inference) functions, etc. The training function, testing function, and inference function can be deployed independently or co-located. The deployment of the intelligent functions can be achieved through software, such as the download and / or running of executable files; it can also be achieved through a combination of software and hardware, such as accelerating a specific computing unit through hardware to improve the operation speed or save power consumption.

[0597] For the training function, it can be deployed in a cross-domain management system or a domain-specific management system; the domain-specific management system is used to manage the RAN domain or the CN (Core Network) domain. For example, for the training function of MDA (Management Data Analytics), it can be deployed in the MDAF (MDA function); for the training of network data analysis, it can be deployed in the NWDAF (Network Data Analytics Function), that is, the training function is the MTLF (Model Training logical function).

[0598] For the inference function, it can also be deployed in a cross-domain management system or a domain-specific management system; for example, the inference function is the MDAF, or the inference function is the AnLF (Analytics logical function) located in the NWDAF.

[0599] Similarly, the test function can also be deployed in a cross-domain management system or a domain-specific management system.

[0600] In Embodiment 13, the training function 1302 of the RAN domain is located in the management function 1303 of the RAN domain; while the inference function is located in the base station, that is, the inference function 1304 is located in the gNB 1305, and the inference function 1306 is located in the gNB 1307.

[0601] Appendix Figure 13 In the figure, the management of the inference functions of multiple base stations is completed by the RAN domain management function 1303, that is, data interaction is performed with the RAN domain MnS (Mangement Service) consumer / cross-domain management 1301 (as shown by the dotted arrow 1308 in the appendix Figure 13 in the figure).

[0602] Optionally, the management of the inference function can also be completed by the base station itself, that is, each base station can independently perform data interaction with the RAN domain MnS consumer / cross-domain management 1301.

[0603] It should be noted that Embodiment 13 is merely a non-limiting implementation; optionally, the training function of the RAN domain may also be deployed in the base station; or optionally, some base stations deploy the inference function and the training function of the RAN domain, while some base stations only deploy the inference function.

[0604] As an example, one gNB (or base station) in Embodiment 13 is the base station of the present application.

[0605] As an example, Figure 13 One of the inference functions in performs the first LTM event prediction.

[0606] Example 14

[0607] Embodiment 14 illustrates a schematic diagram of UE intelligent function deployment according to an embodiment of the present application; as shown in Figure 14 shown. Figure 14 The training function 1405 in the RAN domain in is optional.

[0608] The UE intelligent function 1404 is deployed in the terminal of the present application. The UE intelligent function 1404 includes an inference function 1406; the inference function 1406 uses an intelligent model (also referred to as an AI model, or an ML model, or an AI / ML model) for inference; an intelligent model usually needs to be trained before being used for AI / ML inference.

[0609] As an example, the UE intelligent function 1404 includes a training function 1405 in the RAN domain. The training function 1405 runs training data through an intelligent model to obtain relevant losses, and adjusts the parameters of the intelligent model based on the calculated losses; the training includes at least one of ML initial training, ML re-training, and reinforcement learning.

[0610] The above embodiments can reduce the complexity of the base station, or save the radio interface resources caused by reporting training data; however, the above embodiments place relatively high requirements on the processing capabilities of the UE side.

[0611] Optionally, the UE intelligent function 1404 further includes a training function in the CN domain ( Figure 14 not included in).

[0612] Optionally, the UE intelligent function 1404 further includes an intelligent deployment function - Figure 14 not included in, for loading intelligent models and data.

[0613] As an example, the terminal indicates whether it supports the training function (RAN domain or CN domain) through capability reporting. The capability reporting is RRC signaling or NAS (Non-Access Stratum) signaling.

[0614] As an example, the intelligent model, along with the relevant metadata, is loaded by the terminal from a network device or a remote server.

[0615] Optionally, the UE intelligent function 1404 is an MnS (Management Service) Producer that provides data to the CN domain MnF (Management Function) 1401, and / or the RAN domain MnF 1402, and / or the cross-domain management system 1403 for management or analysis (as shown by the double arrow 1407).

[0616] Optionally, the UE intelligent function 1404 is an MnS Consumer that loads data from the CN domain MnF 1401, and / or the RAN domain MnF 1402, and / or the cross-domain management system 1403 for AI / ML-related management, such as management data requests, intelligent model activation, and / or intelligent model training, etc. (as shown by the double arrow 1407).

[0617] As an example, the intelligent model is based on a Neural Network.

[0618] As an example, the intelligent model is based on a CNN (Conventional Neural Networks, Convolutional Neural Network).

[0619] As an example, the intelligent model is based on a Transformer architecture.

[0620] As an example, the terminal in the present application includes the Figure 14 inference function 1406 therein.

[0621] As an example, the first processor in the present application includes the Figure 14 inference function 1406 therein.

[0622] As an example, the Figure 2 UE201 therein includes the Figure 14 inference function 1406 therein.

[0623] As an example, the Figure 4 first communication device 450 therein includes the Figure 14 inference function 1406 therein.

[0624] As an example, the Figure 9 first processor 902 therein includes theFigure 14 the inference function 1406 therein.

[0625] As an example, attached Figure 11 the intelligent module 1101 therein includes attached Figure 14 the inference function 1406 therein.

[0626] As an example, attached Figure 12 the third module therein includes attached Figure 14 the inference function 1406 therein.

[0627] As an example, attached Figure 14 the inference function 1406 therein performs the first LTM event prediction.

[0628] As an example, attached Figure 14 the inference function 1406 therein indicates the relevant information of the predicted first LTM event.

[0629] Example 15

[0630] Example 15 exemplifies a flowchart based on artificial intelligence or machine learning according to an embodiment of the present application; as attached Figure 15 shown. Attached Figure 15 includes a third operation, a fourth operation, a fifth operation, a sixth operation, and a seventh operation. In Example 15, the third operation and the fourth operation belong to the first stage, the fifth operation belongs to the second stage, the sixth operation belongs to the third stage, and the seventh operation belongs to the fourth stage. In attached Figure 15 the arrowed lines indicate the sequence of the process.

[0631] As an example, the third operation includes AI / ML training, the fourth operation includes AI / ML testing, the fifth operation includes AI / ML emulation, the sixth operation includes AI / ML entity loading, and the seventh operation includes AI / ML inference.

[0632] As an example, the first stage includes a training phase, the second stage includes an emulation phase, the third stage includes a deployment phase, and the fourth stage includes an inference phase.

[0633] As an example, the first stage includes AI / ML model training.

[0634] As an example, the first stage includes AI / ML model training and AI / ML testing.

[0635] As an example, the AI / ML model training includes initial training and re-training of one or a group of AI / ML entities.

[0636] As an example, the AI / ML model training depends on training data.

[0637] As an example, the AI / ML model training includes AI / ML entity validation.

[0638] As an example, the AI / ML entity validation is used to evaluate the performance of the AI / ML entity.

[0639] As an example, the AI / ML entity validation depends on validation data.

[0640] As an example, if the result of the AI / ML entity validation does not meet the expectation, the AI / ML model will be re-trained.

[0641] As an example, the AI / ML testing includes testing the validated AI / ML entity to evaluate the performance of the trained AI / ML model.

[0642] As an example, if the result of the AI / ML testing meets the expectation, the AI / ML entity proceeds to the next stage; otherwise, the AI / ML model will be re-trained.

[0643] As an example, the AI / ML testing depends on test data.

[0644] As an example, the second stage includes AI / ML simulation, and the AI / ML simulation performs inference of the AI / ML entity in a simulation environment.

[0645] As an example, the AI / ML simulation is to evaluate the performance of the AI / ML entity inference in a simulation environment before using the AI / ML entity.

[0646] As an example, the second stage is optional.

[0647] As an example, the third stage includes AI / ML entity loading, and the AI / ML entity loading is to obtain the trained AI / ML entity to obtain the desired AI / ML inference function.

[0648] As an example, the third stage is optional.

[0649] As an example, when the training function and the inference function are co-located, the third stage is no longer required.

[0650] As an example, the fourth stage includes AI / ML inference.

[0651] Those of ordinary skill in the art can understand that all or part of the steps in the above method can be completed by a program instructing relevant hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a hard disk, or an optical disc, etc. Optionally, all or part of the steps of the above embodiments can also be implemented using one or more integrated circuits. Correspondingly, each module unit in the above embodiments can be implemented in hardware form or in the form of a software function module. This application is not limited to any specific form of the combination of software and hardware. The user equipment, terminal, and UE in this application include, but are not limited to, drones, communication modules on drones, remote control aircraft, aircraft, small aircraft, mobile phones, tablets, notebooks, vehicle-mounted communication devices, wireless sensors, network cards, Internet of Things terminals, RFID terminals, NB-IoT terminals, MTC (Machine Type Communication) terminals, eMTC (enhanced MTC) terminals, data cards, network cards, vehicle-mounted communication devices, low-cost mobile phones, low-cost tablets, satellite communication devices, vessel communication devices, NTN user equipment, and other wireless communication devices. The base station or system equipment in this application includes, but is not limited to, macrocell base stations, microcell base stations, home base stations, relay base stations, gNB (NR Node B) NR Node B, TRP (Transmitter Receiver Point), NTN base stations, satellite devices, flight platform devices, and other wireless communication devices.

[0652] The present invention can be implemented in other specific forms without departing from its core or essential characteristics. Therefore, the presently disclosed embodiments should in any case be considered as illustrative rather than restrictive. The scope of the invention is determined by the appended claims rather than the preceding description, and all changes within the equivalent meaning and scope of the claims are considered to be included therein.

Claims

1. A method in a terminal for wireless communication, wherein: include: In response to detecting a radio link failure, recording information about the radio link failure; wherein the information about the radio link failure indicates a result of at least one prediction for a first LTM event before the detection of the radio link failure; Sending a first message, where the first message is generated by the recorded information of the wireless link failure; Whether the entry condition of the first LTM event is met depends on the comparison of the measurement result on at least one RS resource passing through the L1 filter with the first threshold; the result of at least one prediction for the first LTM event includes: at least one of predicting that the entry condition of the first LTM event is met, and at least one of predicting that the entry condition of the first LTM event will not be met.

2. The method in the terminal according to claim 1, characterized in that: The information of the radio link failure indicates the results of at least N1 predictions for a first LTM event before the detection of the radio link failure; the information of the radio link failure indicates the results of at least N2 predictions for a second LTM event before the detection of the radio link failure; Wherein, both N1 and N2 are positive integers.

3. The method in a terminal according to any one of claims 1 or 2, characterized in that: The information about the radio link failure includes whether a first signaling is received after one of the at least one predictions for the first LTM event, wherein the first signaling indicates an LTM cell switch.

4. The method in the terminal according to claim 3, characterized in that: The first signaling indicating the LTM cell switching includes: the first signaling indicates a first condition for executing the LTM cell switching, and when the first condition is met, the LTM cell switching is executed.

5. The method in a terminal according to any one of claims 1 to 4, characterized in that: The information of the radio link failure includes L1-filtered measurement results of N pairs of the at least one RS resource after a first predicted result among at least one predicted result for a first LTM event; wherein N is a positive integer greater than 1.

6. The method in a terminal according to any one of claims 1 to 5, characterized in that: The information of the radio link failure includes whether at least M L1 filtered measurement results are reported or available after an earliest predicted result among at least one predicted result for a first LTM event.

7. The method in a terminal according to any one of claims 1 to 6, characterized in that: The information of the radio link failure indicates whether there is an ongoing BFR process when the radio link failure is detected.

8. The method in a terminal according to any one of claims 1 to 6, characterized in that: The information of the radio link failure indicates whether there is an ongoing mobility procedure for the PSCell when the radio link failure is detected, and the mobility procedure for the PSCell includes at least one of CPAC and LTM.

9. The method in a terminal according to any one of claims 1 to 8, characterized in that: The information of the radio link failure includes a result of the prediction for the first LTM event within a first time window.

10. A terminal, wherein: include: The terminal includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions. The one or more processors call the computer instructions to enable the terminal to execute the method according to any one of claims 1 to 9.

11. A method used in a base station, characterized in that: include: In response to detecting a radio link failure, recording information about the radio link failure; wherein the information about the radio link failure indicates a result of at least one prediction for a first LTM event before the detection of the radio link failure; receiving a first message, wherein the first message is generated by the recorded information of the wireless link failure; Whether the entry condition of the first LTM event is met depends on the comparison of the measurement result on at least one RS resource passing through the L1 filter with the first threshold; the result of at least one prediction for the first LTM event includes: at least one of predicting that the entry condition of the first LTM event is met, and at least one of predicting that the entry condition of the first LTM event will not be met.

12. The method according to claim 11, characterized in that The information of the radio link failure indicates the results of at least N1 predictions for a first LTM event before the radio link failure is detected; the information of the radio link failure indicates the results of at least N2 predictions for a second LTM event before the radio link failure is detected.

13. The method according to claim 11 or 12, characterized in that: The information about the radio link failure includes whether first signaling is sent after one of the at least one predictions for the first LTM event, wherein the first signaling indicates an LTM cell switch.

14. The method according to claim 13, characterized in that The first signaling indicating the LTM cell switching includes: the first signaling indicates a first condition for executing the LTM cell switching, and when the first condition is met, the LTM cell switching is executed.

15. The method according to any one of claims 11 to 14, characterized in that The information of the radio link failure includes L1-filtered measurement results of N pairs of the at least one RS resource after a first predicted result among at least one predicted result for a first LTM event; wherein N is a positive integer greater than 1.

16. The method according to any one of claims 11 to 15, characterized in that The information of the radio link failure includes whether at least M L1 filtered measurement results are reported or available after an earliest predicted result among at least one predicted result for a first LTM event.

17. The method according to any one of claims 11 to 16, characterized in that The information of the radio link failure indicates whether there is an ongoing BFR process when the radio link failure is detected.

18. The method according to any one of claims 11 to 16, characterized in that The information of the radio link failure indicates whether there is an ongoing mobility procedure for the PSCell when the radio link failure is detected, and the mobility procedure for the PSCell includes at least one of CPAC and LTM.

19. The method according to any one of claims 11 to 18, characterized in that The information of the radio link failure includes a result of the prediction for the first LTM event within a first time window.

20. A base station, characterized in that: The base station includes: one or more processors and a memory; The memory is coupled to the one or more processors, and the memory is used to store computer program codes, where the computer program codes include computer instructions, and the one or more processors call the computer instructions to enable the base station to perform the method according to any one of claims 11 to 19.

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