Abnormality processing method and device, electronic equipment and computer readable storage medium

Abstract

The embodiment of the invention discloses an exception handling method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of wireless communication. The method comprises the following steps: acquiring a wireless link performance parameter; on the basis of the wireless link performance parameters, determining whether reported resource scheduling is abnormal or not; when it is determined that the resource scheduling exception is reported, information of the resource scheduling exception is acquired; and reporting the information of the abnormal resource scheduling to a base station based on an enhanced multi-layer feedback mechanism. Therefore, in the scheme, the user equipment can actively diagnose and report the exception, and the exception can be quickly solved.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, specifically to an anomaly handling method, apparatus, electronic device, and computer-readable storage medium. Background Technology

[0002] In 5G and Long Term Evolution (LTE) wireless communication systems, the interaction mechanism between User Equipment (UE) and the base station mainly relies on the base station's scheduling and control strategies. For example, the base station tracks the UE's connection status and signaling interaction integrity in real time, and identifies signaling timeouts or data transmission failures as abnormalities.

[0003] However, when the base station is in an abnormal state, the UE continues to receive and transmit data. In this situation, traditional feedback mechanisms will be unable to reflect the abnormal state or optimize communication behavior in a timely or clear manner. Summary of the Invention

[0004] This application provides an anomaly handling method, apparatus, electronic device, and computer-readable storage medium, which enable user equipment to proactively diagnose and report anomalies, facilitating rapid resolution of anomalies.

[0005] In a first aspect, embodiments of this application provide an exception handling method applied to a user equipment (UE), the method comprising: Obtain wireless link performance parameters; Based on the aforementioned wireless link performance parameters, determine whether to report a resource scheduling anomaly. When it is determined that the resource scheduling anomaly should be reported, information about the resource scheduling anomaly is obtained; Based on the enhanced multi-layer feedback mechanism, the information on the resource scheduling anomaly is reported to the base station.

[0006] Secondly, embodiments of this application provide an anomaly handling method applied to a base station, the method comprising: Receive information on resource scheduling anomalies reported by the UE based on the enhanced multi-layer feedback mechanism; The information regarding the resource scheduling anomaly is obtained when the UE acquires the radio link performance parameters and determines whether to report the resource scheduling anomaly based on these parameters.

[0007] Thirdly, embodiments of this application provide an anomaly handling apparatus applied to a user equipment (UE), the apparatus comprising: The parameter acquisition module is used to acquire wireless link performance parameters; An anomaly determination module is used to determine whether to report a resource scheduling anomaly based on the wireless link performance parameters. The information acquisition module is used to acquire information about the resource scheduling anomaly when it is determined that the resource scheduling anomaly should be reported. The information reporting module is used to report the information of the resource scheduling anomaly to the base station based on the enhanced multi-layer feedback mechanism.

[0008] Fourthly, embodiments of this application provide an anomaly handling device applied to a base station, the device comprising: The information receiving module is used to receive information about resource scheduling anomalies reported by the UE based on the enhanced multi-layer feedback mechanism; The information regarding the resource scheduling anomaly is obtained when the UE acquires the radio link performance parameters and determines whether to report the resource scheduling anomaly based on these parameters.

[0009] Fifthly, embodiments of this application also provide an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps in the above-described exception handling method.

[0010] Sixthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in the above-described exception handling method.

[0011] In a seventh aspect, embodiments of this application also provide a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the methods provided in the various optional implementations described in embodiments of this application.

[0012] The embodiments of this application have the following beneficial effects: User equipment can proactively determine whether a resource scheduling anomaly has occurred based on wireless link performance parameters, and then determine whether to report the resource scheduling anomaly. When it is determined that a resource scheduling anomaly should be reported, the user equipment can obtain information about the resource scheduling anomaly and report the information to the base station based on an enhanced multi-layer feedback mechanism. In this way, the user equipment can proactively diagnose and report information about resource scheduling anomalies, which helps the base station to quickly locate and resolve the anomaly based on the reported information. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of the UE and base station provided in one embodiment of this application; Figure 2 This is a schematic diagram of the steps of an exception handling method provided in an embodiment of this application; Figure 3 This is a flowchart illustrating an exception handling method provided in an embodiment of this application; Figure 4 This is a schematic diagram of the steps of an exception handling method provided in an embodiment of this application; Figure 5 This is a schematic diagram of the structure of an exception handling device provided in an embodiment of this application; Figure 6 This is a schematic diagram of the structure of an exception handling device provided in an embodiment of this application; Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0015] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0016] Base stations can include evolved Node Bs (eNBs) and next-generation Node Bs (gNBs). The eNB is a core network element in the LTE network, responsible for wireless communication with 4G terminals, and handling functions such as radio resource management, data transmission, and mobility management. It is a key node connecting terminals and the core network. The gNB is a core network element in the 5G network. Compared to the eNB, the gNB supports 5G-specific New Radio (NR) technology, providing higher transmission rates, lower latency, and greater connection capacity, adapting to diverse 5G application scenarios (such as enhanced mobile broadband, massive machine-type communications, and ultra-reliable low-latency communications).

[0017] A base station is a wireless access node on the network side, responsible for providing wireless signal coverage in a specific area, managing wireless resources (such as frequencies and time slots), and handling signaling interactions (such as connection establishment and handover) and data transmission (uplink and downlink data forwarding) with user equipment. User equipment can be one or more of the following: smartphones, tablets, laptops, in-vehicle computers, and IoT terminals. User equipment can establish a connection with the base station through a wireless air interface (such as 4G LTE or 5G NR), rely on the base station to access the mobile communication network, and realize communication services such as voice and data.

[0018] Figure 1 This is a schematic diagram of the modules of a UE and a base station provided in an embodiment of this application. The UE may include, but is not limited to, an anomaly detection module, a Medium Access Control (MAC) layer enhanced feedback module, and a Radio Resource Control (RCC) layer log analysis module. The anomaly detection module can detect whether a resource scheduling anomaly has occurred based on radio link performance parameters, and then determine whether to report the resource scheduling anomaly. The MAC layer enhanced feedback module can add a MAC Control Element (MAC CE), carry brief information about the resource scheduling anomaly based on the added MAC CE, and quickly report this brief information to the base station so that the base station can quickly handle the anomaly. The RCC layer log analysis module can obtain detailed information about the resource scheduling anomaly and report this detailed information to the base station so that the base station can accurately determine the cause of the anomaly based on the detailed information.

[0019] The base station may include, but is not limited to, a resource allocation module, an anomaly self-healing module, and a load balancing module. The resource allocation module can prioritize allocating resources to UEs that report resource scheduling anomalies. The anomaly self-healing module can initiate a self-healing process to resolve the anomaly. The load balancing module can rationally allocate resources and tasks to avoid overloading a single node.

[0020] In related technologies, in uplink synchronization loss scenarios, user equipment can only rely on fixed timers such as T310 (a protocol timer) to trigger RCC reconstruction, and cannot actively diagnose the specific cause of synchronization loss (such as instantaneous channel attenuation or base station configuration errors). This process is not only inefficient in recovery, but also difficult to optimize in conjunction with the base station side.

[0021] In scenarios where no acknowledgment (ACK) is received, when the base station is unable to return a Hybrid Automatic Repeat Request (HARQ) acknowledgment, the user equipment can usually only repeatedly attempt transmission or enter random access mode, unable to distinguish whether it is a base station-side anomaly or a channel interference problem, thus wasting radio resources and causing further degradation of network performance.

[0022] In scenarios with high Buffer State Report (BSR) and low Resource Block Grant (RB Grant), when a user equipment reports a high BSR but fails to obtain the corresponding RB Grant for an extended period, the UE may find it difficult to determine whether the issue stems from base station resource limitations or an abnormal scheduling algorithm, directly impacting the Quality of Service (QoS).

[0023] To solve or partially solve the above-mentioned technical problems, in one embodiment, such as Figure 2 As shown, an exception handling method is provided. Although the logical order is illustrated in the step diagram, in some cases, the steps shown or described can be performed in a different order than that shown in the figures. Specifically, this exception handling method can be applied to user equipment. Detailed descriptions follow. It should be noted that the order of description of the following embodiments is not intended to limit the priority of the embodiments.

[0024] according to Figure 2 The exception handling method shown includes at least steps S210 to S240, which are described in detail below: In step S210, wireless link performance parameters are obtained.

[0025] Wireless link performance parameters are indicators that measure the quality, efficiency, and stability of wireless air interface communication between user equipment and base stations. These parameters allow for a quantitative assessment of link status, providing a basis for network optimization, resource scheduling, and fault location.

[0026] Wireless link performance parameters may include, but are not limited to, one or more of the following: base station broadcast resource utilization, UE's actual resource grant value, UE's uplink data buffer status, Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Timing Advance (TA), and HARQ process acknowledgment feedback.

[0027] Base station resource utilization refers to the proportion of radio resources (such as frequency, time slots, code channels, power, etc.) that can be allocated by the base station within a certain period of time, which is actually used to measure the degree of effective resource utilization. The actual resource grant value of the UE refers to the amount of available radio resources actually allocated to the UE by the base station. The UE's uplink data buffer status refers to the amount of uplink data to be transmitted by the UE in the buffer or the space occupied, reflecting the uplink data requirements that need to be transmitted through the base station. The reference signal received power reflects the strength of the base station signal received by the UE, directly affecting connection stability. The reference signal received quality reflects the ratio of useful signal to interference / noise, determining the bit error rate level of data transmission. Timing advance is the time offset by which the base station instructs the UE to send uplink signals in advance, used to compensate for the propagation delay between the UE and the base station, ensuring that the uplink signal arrives at the base station synchronously. The HARQ process acknowledgment feedback status refers to the response status of the base station to the data packets sent by the UE through the HARQ mechanism, returning either a receive acknowledgment or a negative acknowledgment (NACK). NACK is a response from the base station to the UE in the HARQ mechanism, indicating that the data packet sent by the UE was not successfully received or correctly decoded, and usually triggers the UE to retransmit the data.

[0028] In step S220, based on the wireless link performance parameters, it is determined whether to report a resource scheduling anomaly.

[0029] Wireless link performance parameters are indicators that measure the quality, efficiency, and stability of air interface communication between user equipment and base stations. Therefore, based on wireless link performance parameters, it is possible to determine whether resource scheduling anomalies have occurred. When resource scheduling anomalies occur, it can be determined that they need to be reported.

[0030] Resource scheduling anomalies refer to a mismatch between the base station's allocation of radio resources (such as resource blocks, power, time slots, etc.) to the UE and the UE's service requirements, link status, or network load. This may include insufficient, excessive, delayed, or erroneous resource allocation, which can lead to data transmission obstruction, reduced efficiency, or substandard service quality for the UE.

[0031] In one embodiment, determining whether a resource scheduling anomaly has occurred based on wireless link performance parameters involves comparing the wireless link performance parameters with a corresponding dynamic threshold to determine if a resource scheduling anomaly has occurred. The dynamic threshold corresponding to the wireless link performance parameters is calculated based on the wireless link performance parameters at the current time or during the current time period. The dynamic threshold may differ depending on the wireless link performance parameters at the current time or during the current time period.

[0032] Dynamic thresholds can adjust in real time according to changes in the wireless environment, service load (such as data volume), and device status (such as movement speed). This avoids false alarms (missed or false positives) caused by fixed thresholds in complex scenarios (such as instantaneous interference or sudden surges in traffic). It can more accurately capture "relative anomalies" (such as a parameter that deviates from the reasonable range in the current environment even though it is within a fixed threshold), thereby promptly identifying potential problems and improving the adaptability and reliability of anomaly detection. Therefore, dynamic thresholds are more adaptable to real-time scene changes, improving the accuracy and flexibility of anomaly detection.

[0033] In step S230, when it is determined that the resource scheduling anomaly needs to be reported, information about the resource scheduling anomaly is obtained.

[0034] Resource scheduling anomaly information can include brief information and detailed information. Brief information may include, but is not limited to, one or more of the following: anomaly type, measurement indicators, and optimization suggestions. Optimization suggestions refer to actions recommended by user equipment to the base station (e.g., resource reallocation).

[0035] Detailed information may include, but is not limited to, one or more of the following: anomaly event timestamp, associated Data Radiobearer (DRB), associated logical channel identifier (ID), and anomaly triggering conditions (such as BSR value, deviation, channel quality indicator statistics). A data radiobearer is a logical communication channel in wireless communication networks such as LTE used to transmit user data between user equipment and the evolved packet core network. Data radiobearers are established during network initialization and can be dynamically allocated or released based on service load and quality of service requirements. In LTE / 5G, logical channels are divided into control channels and service channels; the DRB corresponds to the service channel transmitting user plane information. Each logical channel ID corresponds to a Radio Link Control (RLC) entity and is used at the MAC layer to distinguish different types of data transmission channels. Channel Quality Indicator (CQI) statistics are the process of collecting, analyzing, and summarizing quantitative data on channel quality indicators.

[0036] In step S240, based on the enhanced multi-layer feedback mechanism, the information on the resource scheduling anomaly is reported to the base station.

[0037] The enhanced multi-layer feedback mechanism refers to the MAC layer and RRC layer feeding back to the base station. The MAC layer quickly feeds back brief information, and after obtaining detailed information, the RRC layer feeds back detailed information.

[0038] When a resource scheduling anomaly is identified, brief information about the anomaly can be quickly obtained, and a new MAC CE can be added. This brief information is then quickly fed back to the base station, thus enabling rapid feedback of the brief information.

[0039] The process of obtaining detailed information may be slightly slow. After obtaining the detailed information, it is added to the RRC signaling and fed back to the base station, thereby providing the detailed information.

[0040] An enhanced multi-layered feedback mechanism can balance response efficiency and information depth. Rapid feedback of concise information via MAC CE allows for the immediate transmission of critical information, enabling the base station to promptly identify anomalies and quickly make decisions or initiate initial responses. Subsequent feedback of detailed information via RRC signaling ensures the completeness and accuracy of resource scheduling anomaly information, providing sufficient basis for in-depth analysis, problem localization, or solution optimization, thus balancing efficiency and quality. In this way, both real-time performance and the completeness and accuracy of information are improved.

[0041] By adopting the technical solution of this application embodiment, the user equipment can actively determine whether a resource scheduling anomaly has occurred based on the wireless link performance parameters, and then determine whether to report the resource scheduling anomaly; when it is determined that a resource scheduling anomaly should be reported, the user equipment can obtain the information of the resource scheduling anomaly; and based on the enhanced multi-layer feedback mechanism, the information of the resource scheduling anomaly is reported to the base station; in this way, the user equipment can actively diagnose and report the information of the resource scheduling anomaly, which is conducive to the base station quickly locating and resolving the anomaly based on the reported information of the resource scheduling anomaly.

[0042] Based on the above technical solution, as an embodiment, the step of reporting the information of the resource scheduling anomaly to the base station based on the enhanced multi-layer feedback mechanism may include: adding a new Media Access Control (MAC) CE, the MAC CE carrying the abbreviated information; triggering Extended Radio Resource Control (RRC) signaling, the extended RRC signaling carrying the detailed information; using the MAC CE to report the abbreviated information, and using the extended RRC signaling to report the detailed information.

[0043] MAC CE is a special data unit in the MAC layer of a mobile communication network, specifically used to transmit MAC layer control information between the UE and the base station, rather than user data. MAC CE is the core carrier for resource coordination and link management at the MAC layer.

[0044] The MAC layer resides at the bottom of the protocol stack. MAC CE transmission does not require processing by higher layers (such as the RRC layer) and can directly and quickly interact over the air interface, making it suitable for feedback of information requiring immediate response and reducing latency. The MAC CE structure is simple, containing only essential control fields, consuming minimal radio resources, and efficiently utilizing air interface resources while avoiding signaling redundancy. The information carried by the MAC CE directly serves the base station's core MAC layer functions such as resource scheduling and power control, enabling the base station to dynamically adjust its strategies based on real-time feedback, improving resource allocation efficiency and link stability. MAC CE can reuse the same transport block as user data, synchronously completing control information exchange during data transmission without establishing a separate signaling connection, enhancing the coordination of uplink and downlink communication.

[0045] The RRC layer is the core control plane layer in the mobile communication network protocol stack, located between the network layer and the data link layer. It is mainly responsible for the management of radio resources and the control of connection status between the UE and the base station. RRC signaling is the control signaling transmitted between the UE and the base station at the RRC layer in the mobile communication network, and it is the core signaling for realizing radio resource management and connection control.

[0046] As a higher-level control plane, the RRC layer can carry complex, structured, multi-field information (such as detailed measurement reports and radio resource configuration requests), meeting the network's need for fine-grained control. Lower layers (such as the MAC layer) struggle to handle such complex content. RRC layer information transmission is typically accomplished through the Signaling Radio Bearer (SRB). Relying on the Automatic Repeat Request (ARQ) mechanism of the RLC layer, reliable delivery of control information is ensured, preventing the loss of critical control commands due to lower-level transmission errors. Information uploaded to the RRC layer can be used by the base station to adapt to core network strategies (such as resource reservation and security configuration), enabling collaborative optimization between the radio access network and the core network.

[0047] Brief information may include, but is not limited to, one or more of the following: anomaly type, measurement metrics, and optimization suggestions. When a user equipment (UE) determines whether a resource scheduling anomaly has occurred based on radio link performance parameters, it can determine the type of the anomaly. For example, if the deviation of the resource grant value is lower than the deviation threshold based on radio link performance parameters, it can be identified as a high BSR low RB Grant anomaly; if the RSRP is stable and the TA fluctuation value is greater than the TA threshold based on radio link performance parameters, it can be identified as an uplink synchronization failure anomaly. Measurement metrics may include metrics used to determine the occurrence of resource scheduling anomalies. A mapping relationship between different anomaly types and optimization suggestions can be pre-configured; by querying the mapping relationship based on the anomaly type, the corresponding optimization suggestion can be determined.

[0048] When a resource scheduling anomaly is identified, brief information about the anomaly can be quickly obtained, and a new MAC CE can be added. This brief information is then quickly fed back to the base station, thus enabling rapid feedback of the brief information.

[0049] In one embodiment, the newly added MAC CE field may include a 2-bit anomaly type field, which is used to mark the anomaly type, such as 01 indicating ACK missing and 10 indicating resource anomaly. The newly added MAC CE field may also include a 6-bit measurement indicator field, which may contain scenario-related detailed information such as CQI and TA error. Finally, the newly added MAC CE field may include a 2-bit optimization suggestion field, which is used to recommend actions to the base station (such as resource reallocation).

[0050] Detailed information may include, but is not limited to, one or more of the following: anomaly event timestamp, associated data radio bearer, associated logical channel ID, and anomaly triggering conditions. The data radio bearer associated with the resource scheduling anomaly can be obtained by viewing detailed logs. The configuration message at the RRC layer includes the mapping relationship between logical channels and DRBs; the logical channel ID can be determined through this mapping relationship and the associated data radio bearer. User equipment logs record events and parameter changes before and after the anomaly occurred; the anomaly triggering conditions can be determined based on the system's characteristics. After obtaining the detailed information, it can be added to the RRC signaling and fed back to the base station, thus providing the detailed information.

[0051] The technical solution adopted in this application embodiment can balance response efficiency and information depth based on the enhanced multi-layer feedback mechanism. By quickly feeding back concise information through MAC CE, key information can be quickly fed back, enabling the base station to promptly determine that an anomaly has occurred and make rapid decisions or initiate preliminary responses. Subsequently, by feeding back detailed information through RRC signaling, the integrity and accuracy of information on resource scheduling anomalies can be ensured, providing sufficient basis for in-depth analysis, problem localization, or solution optimization, thus balancing efficiency and quality. In this way, both real-time performance and the integrity and accuracy of information can be improved.

[0052] Based on the above technical solution, as an embodiment, determining whether to report a resource scheduling anomaly based on the wireless link performance parameters may include: determining the resource remaining rate of the base station based on the resource utilization rate broadcast by the base station; determining the expected resource grant value of the UE based on the uplink data buffer status of the UE and the resource remaining rate of the base station; determining the deviation as the ratio of the actual resource grant value to the expected resource grant value of the UE; obtaining a deviation threshold value; and determining to report the resource scheduling anomaly when the deviation value is lower than the deviation threshold value for multiple consecutive periods.

[0053] The resource utilization rate broadcast by the base station can be received. Subtracting this resource utilization rate from 1 gives the base station's remaining resource rate. The expected resource grant value of the UE can be determined using the following formula: Expected resource grant value of UE = UE's uplink data buffer status × Base station's remaining resource rate.

[0054] Optionally, the ratio of the UE's actual resource grant value to its expected resource grant value can be determined as the deviation. Optionally, the ratio of the UE's actual resource grant value to the UE's uplink data cache state can be determined as the deviation.

[0055] A lower deviation indicates a lower actual resource grant value received by the UE. If this deviation is below the deviation threshold for multiple consecutive scheduling cycles (e.g., 3 cycles), a counter can be incremented by 1, and a resource scheduling anomaly can be reported. This anomaly must be a high BSR (Best Resource Scheduler) and low RB (Best Resource Grant) anomaly. The deviation threshold can be set according to actual needs, for example, it can be 0.5.

[0056] The deviation is dynamically determined based on the base station's resource utilization and the UE's uplink data cache status, which can better adapt to the current status of the base station and the UE.

[0057] By adopting the technical solution of this application embodiment, it is possible to determine whether a resource scheduling anomaly has occurred and whether it is necessary to report the resource scheduling anomaly by using the base station's resource utilization rate, the UE's actual resource grant value and the UE's uplink data cache status. It is also possible to determine whether the type of the resource scheduling anomaly is a high BSR low RB Grant anomaly, thereby quickly resolving the resource scheduling anomaly.

[0058] Based on the above technical solution, as an embodiment, determining whether to report a resource scheduling anomaly based on the wireless link performance parameters may include one or more of the following steps: obtaining the physical location of the UE; obtaining the attenuation of the RSRP and / or the attenuation of the RSRQ within a fixed duration; obtaining an attenuation threshold; determining to report the resource scheduling anomaly when the attenuation of the RSRP and / or the attenuation of the RSRQ is greater than the attenuation threshold within the fixed duration, and the physical location of the UE remains unchanged; determining to report the resource scheduling anomaly when the RSRP is stable and the TA fluctuation value is greater than the TA threshold.

[0059] It can acquire RSRP, RSRQ, UE physical location, and / or TA value in real time. The fixed duration can be preset, for example, within 1 second. It can acquire RSRP and RSRQ at various moments within the fixed duration, thereby obtaining the attenuation of RSRP and / or RSRQ within the fixed duration. The attenuation threshold can be 6dB, which means that the signal power is reduced by about half. If the attenuation of RSRP and / or RSRQ is greater than the attenuation threshold, it indicates that RSRP and / or RSRQ have attenuated by about half.

[0060] When the UE's physical location changes, changes in RSRP and / or RSRQ are likely normal. However, if RSRP and / or RSRQ decrease significantly within a short period while the UE's physical location remains unchanged, it strongly suggests a resource scheduling anomaly. Therefore, if the decrease in RSRP and / or RSRQ exceeds the decrease threshold within a fixed time period, and the UE's physical location remains unchanged, a resource scheduling anomaly can be reported, specifically an uplink synchronization failure anomaly.

[0061] It can obtain the TA values ​​at various times within a fixed time period, and thus determine the TA fluctuation value based on the TA values ​​at each time point. It can also obtain a preset TA threshold. Under normal circumstances, the reference signal received power is stable, and the TA should also be relatively stable. Therefore, if the RSRP is stable, but the TA fluctuation value is greater than the TA threshold, it can be determined that a resource scheduling anomaly should be reported, and this resource scheduling anomaly is an uplink synchronization failure anomaly.

[0062] By adopting the technical solution of the embodiments of this application, it is possible to determine whether a resource scheduling anomaly has occurred and whether it is necessary to report the resource scheduling anomaly by using the reference signal received power, reference signal received quality and / or timing advance. It is also possible to determine whether the type of the resource scheduling anomaly is an uplink synchronization failure, thereby quickly resolving the resource scheduling anomaly.

[0063] Based on the above technical solution, as an embodiment, determining whether to report resource scheduling anomalies based on the wireless link performance parameters may include: determining to report base station anomalies when the acknowledgment feedback of a single HARQ process is a negative acknowledgment (NACK); and determining to report channel anomalies when the acknowledgment feedback of multiple HARQ processes is a NACK.

[0064] When a single HARQ process receives a NACK acknowledgment, it's highly likely due to a localized fault or configuration issue at the base station. Therefore, it can be determined that a resource scheduling anomaly has occurred, which is a base station malfunction. For example, the base station might have encoding errors, improper modulation settings, or an abnormal scheduling algorithm on the base station side, preventing the user equipment from correctly decoding the data and thus resulting in a NACK response. Alternatively, the base station's receiving module might malfunction, failing to correctly receive the ACK signal sent by the user equipment and mistakenly interpreting it as a NACK.

[0065] When multiple HARQ processes return NACK, it's unlikely that the base station has encountered the same configuration or processing error for each process. More likely, it indicates poor wireless channel quality, with severe interference and fading affecting data transmission across multiple processes. This prevents the user equipment from correctly decoding the data from each process, leading to NACK responses. For example, this situation is common in areas with severe signal obstruction or in scenarios with co-channel interference. Therefore, it can be determined that a resource scheduling anomaly has occurred, specifically a channel anomaly.

[0066] By adopting the technical solution of this application embodiment, it is possible to determine whether a resource scheduling anomaly has occurred based on the confirmation feedback of the HARQ process, and it is also possible to determine whether the anomaly is a base station anomaly or a channel anomaly, thereby helping the base station to quickly resolve the resource scheduling anomaly.

[0067] Figure 3 This is a flowchart illustrating an embodiment of the exception handling method provided in this application; as shown below. Figure 3 As shown, the UE can dynamically monitor resource scheduling anomalies and determine whether to report them based on whether an anomaly has occurred. When a resource scheduling anomaly needs to be reported, it can quickly report brief information through the MAC layer or report detailed information through the RRC layer. After receiving the reported information, the base station can perform resource reconfiguration, and in severe cases, it can trigger a self-healing process to restore the system to normal operation.

[0068] In one embodiment, such as Figure 4 As shown, an exception handling method is provided. Although the logical order is illustrated in the step diagram, in some cases, the steps shown or described can be performed in a different order than that shown in the figures. Specifically, this exception handling method can be applied to a base station. Detailed descriptions follow. It should be noted that the order of description in the following embodiments is not intended to limit the priority of the embodiments.

[0069] according to Figure 4The exception handling method shown includes at least step S410, which is described in detail below: In step S410, information about resource scheduling anomalies reported by the UE based on the enhanced multi-layer feedback mechanism is received.

[0070] The UE can obtain radio link performance parameters and, based on these parameters, determine whether a resource scheduling anomaly has occurred. If an anomaly occurs, it can obtain information about the anomaly and report it through an enhanced multi-layer feedback mechanism. The base station can receive the resource scheduling anomaly information reported by the UE. Specific details of this embodiment can be found above.

[0071] By adopting the technical solution of this application embodiment, the user equipment can actively determine whether a resource scheduling anomaly has occurred based on the wireless link performance parameters, and then determine whether to report the resource scheduling anomaly; when it is determined that a resource scheduling anomaly should be reported, the information of the resource scheduling anomaly can be obtained; the base station can obtain the information of the resource scheduling anomaly reported by the user equipment based on the enhanced multi-layer feedback mechanism; in this way, the user equipment can actively diagnose and report the information of the resource scheduling anomaly, which is conducive to the base station quickly locating and resolving the anomaly based on the reported information of the resource scheduling anomaly.

[0072] Based on the above technical solution, as an example, the base station can prioritize allocating Physical Uplink Shared Channel (PUSCH) resources to UEs that report the resource scheduling anomaly.

[0073] PUSCH is the main physical channel for user equipment to transmit uplink user data to the base station in wireless communication systems such as LTE / 5G. It can be shared by multiple UEs. The base station can allocate PUSCH resources to different UEs through scheduling. Its transmission efficiency is related to channel quality, resource allocation, etc.

[0074] If a UE that reports a resource scheduling anomaly has experienced a resource scheduling anomaly, prioritizing the allocation of physical uplink shared channel resources to the UE that reported the anomaly is a response to the resource scheduling anomaly. This response can quickly restore the UE's service, reduce the risk of anomaly propagation, and optimize the overall network experience.

[0075] Using the technical solution of this application embodiment, UEs that experience resource scheduling anomalies usually face service interruptions or quality degradation. Prioritizing the allocation of resources to UEs that experience resource scheduling anomalies can quickly alleviate their data backlog and retransmission pressure, help UEs restore normal communication, reduce the duration of faults perceived by users, and avoid triggering chain reactions.

[0076] Based on the above technical solution, as an embodiment, the base station can also aggregate information on resource scheduling anomalies reported by multiple UEs; determine the cause of the resource scheduling anomaly and the severity of the resource scheduling anomaly based on the information on resource scheduling anomalies reported by multiple UEs; obtain a severity threshold; and initiate a self-healing process when the severity of the resource scheduling anomaly is greater than the severity threshold.

[0077] When a base station receives resource scheduling anomaly information reported by multiple UEs, it can perform root cause analysis based on the information from these multiple reports to determine the cause of the resource scheduling anomaly. For example, if only one UE reports an anomaly, it may be due to a problem with the UE itself or a false alarm; however, if multiple UEs report the same problem, it is highly likely that the problem lies with the base station. Therefore, the base station can synthesize the information from multiple resource scheduling anomalies to determine the cause of the anomaly.

[0078] Anomalies can be investigated based on their causes to determine their severity. The severity of the source scheduling anomaly can also be determined based on the number of UEs reporting the anomaly. When the severity of the resource scheduling anomaly exceeds a severity threshold, a self-healing process can be initiated. The severity threshold can be set according to actual needs, and different anomalies may have different severity thresholds. The self-healing process may include, but is not limited to, operations such as cell restart and load balancing.

[0079] By adopting the technical solution of this application embodiment, the base station can perform root cause analysis of resource scheduling anomalies based on information reported by multiple UEs, thereby helping to accurately locate and troubleshoot anomalies. It can also self-heal according to the severity of the anomalies, without relying on manual intervention, which is low-cost and highly efficient.

[0080] In one embodiment, the base station can have a built-in monitoring module that can acquire relevant parameters of wireless link performance, including indicators such as hardware failures, abnormal resource allocation, and HARQ feedback. Based on these parameters, it can then determine whether resource scheduling anomalies have occurred and handle them accordingly. Furthermore, the base station possesses stronger computing power, enabling it to perform correlation analysis on uploaded data from multiple UEs without requiring modifications to the UE's protocols or software.

[0081] In one embodiment, support for anomaly feedback signaling at the RRC or MAC layer can be extended within the 3rd Generation Partnership Project (3GPP) protocol. This could involve adding anomaly type and context information fields, and processing the feedback data using an adaptive algorithm on the base station side. When the UE reports resource scheduling anomalies to the base station, it can do so based on the extended RRC or MAC layer anomaly feedback signaling. Because it incorporates the 3GPP standard framework, compatibility with equipment from different vendors can be improved; and unified optimization at the network layer can reduce fragmentation between different equipment solutions.

[0082] In one embodiment, a large-scale collection of abnormal data from UEs and base stations is conducted via a wireless network. Artificial intelligence / machine learning (AI / ML) models are then used to analyze the root causes of these anomalies and optimize network behavior. This approach leverages data-driven optimization, going beyond a single anomaly trigger point and dynamically learning multi-scenario correlation features. The model can be gradually improved through simulation training and data accumulation in actual deployments.

[0083] The determination of whether to report resource scheduling anomalies, as described above, is based on a dynamic baseline (dynamic thresholds and dynamic parameters). In one embodiment, a fixed RB grant ratio can be configured; if the ratio falls below this value, a resource scheduling anomaly report is directly triggered. Implementing a fixed RB grant ratio is simple and does not rely on dynamic baseline adjustments.

[0084] In one embodiment, the base station can calculate the RB demand deviation of the UE and trigger diagnosis after broadcasting an anomaly.

[0085] In one embodiment, the fast MAC CE feedback mechanism can be replaced by an extended HARQ feedback indicator. Specifically, an additional error type identifier is included in the HARQ ACK / NACK, and the extended HARQ feedback indicator provides brief information.

[0086] In one embodiment, the Fast MAC CE feedback mechanism can be replaced by requesting tag enhancement via the Random Access Channel (RACH), specifically by broadcasting abbreviated information via the Random Access Channel (RACH).

[0087] In one embodiment, complete information about resource scheduling anomalies can be fed back only through MAC CE or RRC signaling.

[0088] The anomaly handling methods for user equipment and base stations described above can be implemented in combination or separately.

[0089] To facilitate better implementation of the exception handling method of this application, this application also provides an exception handling apparatus based on the above-described exception handling method. The meanings of the terms used are the same as in the exception handling method described above, and specific implementation details can be found in the descriptions of the method embodiments.

[0090] Please see Figure 5 , Figure 5 This is a schematic diagram of the structure of the exception handling device provided in the embodiments of this application, wherein the exception handling device is applied to a user equipment, and the exception handling device includes: The parameter acquisition module 501 is used to acquire wireless link performance parameters; The anomaly determination module 502 is used to determine whether to report a resource scheduling anomaly based on the wireless link performance parameters. The information acquisition module 503 is used to acquire information about the resource scheduling anomaly when it is determined that the resource scheduling anomaly should be reported. The information reporting module 504 is used to report the information of the resource scheduling anomaly to the base station based on the enhanced multi-layer feedback mechanism.

[0091] In one embodiment, the information regarding the resource scheduling anomaly includes: brief information and detailed information; The information reporting module 504 includes: An element addition unit is used to add a Media Access Control Layer (MAC) control element CE, wherein the MAC CE carries the abbreviated information; The signaling triggering unit is used to trigger Extended Radio Resource Control (RRC) signaling, which carries the aforementioned detailed information; The information reporting unit is used to report the simplified information using the MAC CE and to report the detailed information using the extended RRC signaling.

[0092] In one embodiment, the wireless link performance parameters include: the resource utilization rate broadcast by the base station, the actual resource grant value of the UE, and the uplink data buffer status of the UE; The anomaly determination module 502 includes: The remaining rate determination unit is used to determine the resource remaining rate of the base station based on the resource utilization rate broadcast by the base station; The expected determination unit is used to determine the expected resource grant value of the UE based on the uplink data cache status of the UE and the resource remaining rate of the base station; The deviation determination unit is used to determine the ratio of the actual resource grant value to the expected resource grant value of the UE as the deviation. Threshold value acquisition unit, used to acquire deviation from the threshold value; The first anomaly determination unit is used to determine and report the resource scheduling anomaly when the deviation is lower than the deviation threshold for multiple consecutive periods.

[0093] In one embodiment, the wireless link performance parameters include: real-time acquired reference signal received power (RSRP), reference signal received quality (RSRQ), and / or timing advance (TA). The anomaly determination module 502 includes one or more of the following units: Location acquisition unit, used to acquire the physical location of the UE; The attenuation acquisition unit is used to acquire the attenuation of the RSRP and / or the attenuation of the RSRQ within a fixed time period. The attenuation threshold acquisition unit is used to acquire the attenuation threshold. The second anomaly determination unit is used to determine and report the resource scheduling anomaly when the attenuation of the RSRP and / or the attenuation of the RSRQ is greater than the attenuation threshold within the fixed time period, and the physical location of the UE remains unchanged. The TA acquisition unit is used to acquire the TA threshold and the TA fluctuation value. The third anomaly determination unit is used to determine and report the resource scheduling anomaly when the RSRP is stable and the TA fluctuation value is greater than the TA threshold.

[0094] In one embodiment, the wireless link performance parameters include: the confirmation feedback of the Hybrid Automatic Repeat Request (HARQ) process; The anomaly determination module 502 includes: The fourth anomaly determination unit is used to determine that the reported base station is an anomaly when the confirmation feedback of a single HARQ process is a negative acknowledgment (NACK). The fifth anomaly determination unit is used to determine that the channel is anomaly when the acknowledgment feedback of multiple HARQ processes is NACK.

[0095] By adopting the technical solution of this application embodiment, the user equipment can actively determine whether a resource scheduling anomaly has occurred based on the wireless link performance parameters, and then determine whether to report the resource scheduling anomaly; when it is determined that a resource scheduling anomaly should be reported, the user equipment can obtain the information of the resource scheduling anomaly; and based on the enhanced multi-layer feedback mechanism, the information of the resource scheduling anomaly is reported to the base station; in this way, the user equipment can actively diagnose and report the information of the resource scheduling anomaly, which is conducive to the base station quickly locating and resolving the anomaly based on the reported information of the resource scheduling anomaly.

[0096] To facilitate better implementation of the exception handling method of this application, this application also provides an exception handling apparatus based on the above-described exception handling method. The meanings of the terms used are the same as in the exception handling method described above, and specific implementation details can be found in the descriptions of the method embodiments.

[0097] Please see Figure 6 , Figure 6 This is a schematic diagram of the structure of the anomaly handling device provided in the embodiments of this application, wherein the anomaly handling device is applied to a base station, and the anomaly handling device includes: Information receiving module 601 is used to receive information on resource scheduling anomalies reported by the UE based on the enhanced multi-layer feedback mechanism; The information regarding the resource scheduling anomaly is obtained when the UE acquires the radio link performance parameters and determines whether to report the resource scheduling anomaly based on these parameters.

[0098] In one embodiment, the device further includes: The resource allocation module is used to allocate Physical Uplink Shared Channel (PUSCH) resources to UEs that report resource scheduling anomalies first.

[0099] In one embodiment, the device further includes: The information aggregation module is used to aggregate information on resource scheduling anomalies reported by multiple UEs; The cause determination module is used to determine the cause of the resource scheduling anomaly and the severity of the resource scheduling anomaly based on the information of the resource scheduling anomaly reported by multiple UEs. The threshold acquisition module is used to obtain the severity threshold. The self-healing startup module is used to initiate a self-healing process when the severity of the resource scheduling anomaly exceeds the severity threshold.

[0100] By adopting the technical solution of this application embodiment, the user equipment can actively determine whether a resource scheduling anomaly has occurred based on the wireless link performance parameters, and then determine whether to report the resource scheduling anomaly; when it is determined that a resource scheduling anomaly should be reported, the information of the resource scheduling anomaly can be obtained; the base station can obtain the information of the resource scheduling anomaly reported by the user equipment based on the enhanced multi-layer feedback mechanism; in this way, the user equipment can actively diagnose and report the information of the resource scheduling anomaly, which is conducive to the base station quickly locating and resolving the anomaly based on the reported information of the resource scheduling anomaly.

[0101] For specific limitations regarding the exception handling device, please refer to the limitations on exception handling methods above, which will not be repeated here. Each module in the aforementioned exception handling device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in hardware or independently of the processor in the computer device, or stored in software in the memory of the computer device, so that the processor can call and execute the operations corresponding to each module.

[0102] In addition, this application also provides an electronic device, such as Figure 7 As shown, it illustrates the structural diagram of the electronic device involved in this application, specifically: The electronic device may include components such as a processor 701 with one or more processing cores and a memory 702 with one or more computer-readable storage media. Those skilled in the art will understand that... Figure 7 The electronic device structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein: The processor 701 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 702, and by calling data stored in the memory 702, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. Optionally, the processor 701 may include one or more processing cores; preferably, the processor 701 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 701.

[0103] The memory 702 can be used to store software programs and modules. The processor 701 executes various functional applications and data processing by running the software programs and modules stored in the memory 702. The memory 702 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 702 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 702 may also include a memory controller to provide the processor 701 with access to the memory 702.

[0104] In one embodiment, the electronic device further includes a power supply 703 that supplies power to the various components. Preferably, the power supply 703 can be logically connected to the processor 701 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 703 may also include one or more DC or AC power supplies, recharging systems, power equipment debugging circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0105] In one embodiment, the electronic device may further include an input unit 704, which can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0106] Although not shown, the electronic device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 701 in the electronic device loads the executable files corresponding to the processes of one or more applications into the memory 702 according to the following instructions, and the processor 701 runs the applications stored in the memory 702, thereby implementing the steps in any of the exception handling methods provided in the embodiments of this application.

[0107] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the electronic device to which the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0108] In one embodiment, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the methods described in any embodiment of this application.

[0109] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the method described in any embodiment of this application.

[0110] In some embodiments, a computer program product is also provided, including a computer program or instructions that, when executed by a processor, implement the methods described in any embodiment of this application.

[0111] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0112] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0113] Therefore, this application provides a computer-readable storage medium storing a computer program that can be loaded by a processor to execute the steps of any of the exception handling methods provided in this application.

[0114] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0115] The computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0116] Since the instructions stored in the computer-readable storage medium can execute the steps of any of the exception handling methods provided in this application, the beneficial effects that any of the exception handling methods provided in this application can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0117] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0118] The above provides a detailed description of an exception handling method, apparatus, electronic device, and computer-readable storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An exception handling method, characterized in that, Applied to a user equipment (UE), the method includes: Obtain wireless link performance parameters; Based on the aforementioned wireless link performance parameters, determine whether to report a resource scheduling anomaly. When it is determined that the resource scheduling anomaly should be reported, information about the resource scheduling anomaly is obtained; Based on the enhanced multi-layer feedback mechanism, the information on the resource scheduling anomaly is reported to the base station.

2. The method according to claim 1, characterized in that, The information regarding the resource scheduling anomaly includes: brief information and detailed information; The enhanced multi-layer feedback mechanism for reporting resource scheduling anomaly information to the base station includes: A new Media Access Control Layer (MAC CE) element is added, which carries the abbreviated information; Trigger Extended Radio Resource Control (RRC) signaling, which carries the aforementioned detailed information; The simplified information is reported using the MAC CE, and / or the detailed information is reported using the extended RRC signaling.

3. The method according to claim 1, characterized in that, The wireless link performance parameters include: the resource utilization rate broadcast by the base station, the actual resource authorization value of the UE, and the uplink data buffer status of the UE; The step of determining whether to report a resource scheduling anomaly based on the wireless link performance parameters includes: The resource remaining rate of the base station is determined based on the resource utilization rate broadcast by the base station. The expected resource grant value of the UE is determined based on the uplink data cache status of the UE and the resource remaining rate of the base station; The ratio of the actual resource grant value to the expected resource grant value of the UE is determined as the deviation. Get the deviation threshold value; If the deviation is lower than the deviation threshold for several consecutive periods, the resource scheduling anomaly is determined to be reported.

4. The method according to claim 1, characterized in that, The wireless link performance parameters include: real-time acquired reference signal received power (RSRP), reference signal received quality (RSRQ), and / or timing advance (TA). The process of determining whether to report a resource scheduling anomaly based on the wireless link performance parameters includes one or more of the following steps: Obtain the physical location of the UE; Obtain the attenuation of the RSRP and / or the attenuation of the RSRQ within a fixed time period; Obtain the attenuation threshold; If, within the fixed duration, the attenuation of the RSRP and / or the attenuation of the RSRQ is greater than the attenuation threshold, and the physical location of the UE remains unchanged, the resource scheduling anomaly is determined to be reported. Obtain the TA threshold and the TA fluctuation value; When the RSRP is stable and the TA fluctuation value is greater than the TA threshold, the resource scheduling anomaly is determined to be reported.

5. The method according to claim 1, characterized in that, The wireless link performance parameters include: the confirmation feedback of the Hybrid Automatic Repeat Request (HARQ) process; The step of determining whether to report a resource scheduling anomaly based on the wireless link performance parameters includes: When the confirmation feedback of a single HARQ process is a negative acknowledgment (NACK), it is determined that the base station is abnormal. If the acknowledgment feedback from multiple HARQ processes is NACK, it is determined that a channel anomaly has been reported.

6. An exception handling method, characterized in that, Applied to a base station, the method includes: Receive information on resource scheduling anomalies reported by the UE based on the enhanced multi-layer feedback mechanism; The information regarding the resource scheduling anomaly is obtained when the UE acquires the radio link performance parameters and determines whether to report the resource scheduling anomaly based on these parameters.

7. The method according to claim 6, characterized in that, The method further includes: The Physical Uplink Shared Channel (PUSCH) resources are allocated to UEs that report the resource scheduling anomaly first.

8. The method according to claim 6, characterized in that, The method further includes: Summarize the information on the resource scheduling anomalies reported by multiple UEs; Based on the information of resource scheduling anomalies reported by multiple UEs, determine the cause of the resource scheduling anomaly and the severity of the resource scheduling anomaly. Obtain the severity threshold; When the severity of the resource scheduling anomaly exceeds the severity threshold, a self-healing process is initiated.

9. An anomaly handling device, characterized in that, The device is applied to a user equipment (UE) and includes: The parameter acquisition module is used to acquire wireless link performance parameters; An anomaly determination module is used to determine whether to report a resource scheduling anomaly based on the wireless link performance parameters. The information acquisition module is used to acquire information about the resource scheduling anomaly when it is determined that the resource scheduling anomaly should be reported. The information reporting module is used to report the information of the resource scheduling anomaly to the base station based on the enhanced multi-layer feedback mechanism.

10. An anomaly handling device, characterized in that, Applied to a base station, the device includes: The information receiving module is used to receive information about resource scheduling anomalies reported by the UE based on the enhanced multi-layer feedback mechanism; The information regarding the resource scheduling anomaly is obtained when the UE acquires the radio link performance parameters and determines whether to report the resource scheduling anomaly based on these parameters.

11. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the computer program, implements the steps of the exception handling method as described in any one of claims 1 to 8.

12. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the exception handling method as described in any one of claims 1 to 8.

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