Method and system for optimizing ANR function in 5G base station system

Abstract

The invention discloses a method and a system for optimizing an ANR function in a 5G base station system. The method comprises the following steps: firstly, screening a suitable target UE group; dividing the UE into a plurality of batches, and issuing ANR measurement configuration to each batch of UE according to a batch rule; receiving neighbor PCI and RSRP information reported by the UE based on the ANR measurement configuration; when guiding the UE to carry out adjacent cell CGI measurement, generating and issuing an RRC reconfiguration signaling; meanwhile, an ANR function timer is started for the UE, and during the period that the timer takes effect, scheduling of newly transmitted data of the UE is suspended; and when a preset condition is satisfied, recovering the scheduling of the newly transmitted data of the UE, and guiding the UE to exit the DRX configuration state through the RRC reconfiguration signaling. According to the invention, the extensive management problem in the existing ANR technology can be solved, and the overall performance of the network and the service experience of the final user are ensured while the efficiency of the ANR function is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of communication technology, in particular to a method and system for optimizing ANR function in a 5G base station system. BACKGROUND

[0002] The fifth generation mobile communication technology (5G) is driving the digital transformation of all fields of society with unprecedented high transmission rate, extremely low latency, super large connection capacity and high reliability. However, the architecture of 5G network supporting these excellent performances is becoming increasingly complex and intensive. There are usually a large number of neighboring cells around the serving cell, and the states and parameters of these neighboring cells are in dynamic change. In order to efficiently manage the complex neighboring cell relationship and reduce the operation and maintenance cost, the self-organizing network (SON, short for Self-Organizing and Self-Optimization Network) technology has become a core function of 5G network. Among them, the automatic neighbor relation (ANR, short for Automatic Neighbor Relation) as a key component of SON, undertakes the heavy responsibility of automatically discovering, establishing and optimizing the neighboring cell relationship.

[0003] Currently, the implementation of ANR function mainly relies on the measurement of surrounding neighboring cells by connected user equipment (UE). The basic process is: the base station system guides the UE to measure and report the physical cell identifier (PCI), global cell identifier (CGI) and reference signal received power (RSRP) and other information of the neighboring cell through RRC reconfiguration signaling, and the base station updates the neighboring cell list accordingly. It is worth noting that the acquisition of CGI information is particularly critical, which requires the UE to have a long enough continuous idle time to successfully read the system information broadcasted by the neighboring cell during the sleep period of DRX (discontinuous reception) state.

[0004] Although ANR technology has been widely applied, in actual deployment, especially in 5G complex scenarios, its implementation still has significant defects, mainly reflected in the following two aspects: First, existing solutions for scheduling UE measurement tasks are too crude. Many systems simply adopt a "one-size-fits-all" approach, either sending ANR measurement configurations to all connected UEs or using overly general UE selection rules without employing a phased, gradual configuration strategy. This crude scheduling approach leads to two major problems: First, base stations may send a large number of RRC reconfiguration signaling messages in a short period, easily triggering a "signaling storm," causing a surge in base station processing load and affecting system stability. Second, indiscriminately configuring measurement tasks for UEs performing high-priority services (such as voice calls or large data transmissions) directly consumes their communication resources, resulting in a poor user experience. Furthermore, because UEs cannot focus on measurement, the success rate of acquiring neighboring cell CGI information decreases, significantly reducing the effectiveness of the ANR function.

[0005] Secondly, the existing process lacks standardization and optimization in DRX configuration management, which is closely related to CGI acquisition. In current implementations, there is often a lack of clear and standardized parameter configuration recommendations and process management for the DRX configuration necessary for a UE to read neighboring cell CGI. If the DRX parameters are set improperly (e.g., the sleep period is too short), the UE will not have enough time to complete the system information reading, directly leading to CGI acquisition failure. More critically, after a successful CGI report, the system often fails to promptly restore the DRX configuration to the optimal state suitable for service transmission, causing the UE to remain in a power-saving mode that is detrimental to service transmission for an extended period, increasing data transmission latency and reducing user experience. Simultaneously, existing solutions generally neglect to adaptively adjust the new transmission scheduling for the UE during the CGI reading task. If the base station continues to schedule the UE during this period, it will interrupt its critical "sleep period," resulting in neighboring cell CGI information acquisition failure.

[0006] In summary, existing 5G ANR technology suffers from insufficient refinement in UE measurement scheduling and DRX collaborative management, which not only limits the efficiency and success rate of ANR functionality but also negatively impacts overall network performance and user experience. Therefore, a more intelligent and refined ANR implementation solution is urgently needed to address these issues. Summary of the Invention

[0007] The present invention aims to at least solve one of the technical problems existing in the prior art. To this end, the present invention proposes a method for optimizing ANR (Application Not Responding) functionality in a 5G base station system.

[0008] A method for optimizing ANR functionality in a 5G base station system according to an embodiment of the present invention includes the following steps: S1. When the ANR function is activated, the target UE group suitable for ANR measurement is selected from the connected UEs in the current system according to the preset UE screening rules. S2. Divide the target UE group into multiple batches, and according to the batching rules, send ANR measurement configuration to each batch of UEs at set time intervals and the number of UEs in each batch; S3. Receive the neighboring cell PCI and RSRP information reported by the UE based on the ANR measurement configuration; S4. When it is necessary to guide the UE to perform neighboring cell CGI measurement, generate an RRC reconfiguration signaling message. This signaling message contains both the CGI measurement configuration and the DRX configuration optimized for CGI reading, and sends it to the corresponding UE. S5. While sending the DRX configuration to the UE, start an ANR function timer for the UE, and suspend the scheduling of new data transmissions to the UE during the effective period of the timer. S6. Under one of the following conditions, resume new data scheduling for the UE and guide the UE to exit the DRX configuration state via RRC reconfiguration signaling: Condition A: The neighboring cell CGI information successfully reported by the UE is received; Condition B: The ANR function timer times out.

[0009] According to the method of this invention, a clear and detailed UE screening process is used to select the most suitable UE group for ANR measurement, and ANR measurement configuration is distributed to this UE group in batches. Simultaneously, DRX configuration is used effectively, and the base station system maintains a relevant ANR measurement timer for each UE. During the timer's active period, new data transmission scheduling management is performed for each UE, avoiding excessive measurement load on the base station system's ANR function and preventing ANR measurement from unduly impacting the UE's service experience. This improves the success rate of neighbor cell information retrieval and efficiently completes the ANR function.

[0010] In some embodiments of the present invention, the preset UE filtering rules in step S1 include: filtering UEs that have not reported A1 events, support ANR measurement capabilities, and are not in voice services or large data volume services; the support for ANR measurement capabilities refers to the UE's ability to simultaneously support the ability to report CGI information and the ability to support long-term DRX configuration.

[0011] In some embodiments of the present invention, the time interval and the number of UEs in each batch in the batching rules described in step S2 can be dynamically and adaptively adjusted according to the real-time load status of the base station system or pre-configured by the operator.

[0012] In some embodiments of the present invention, the DRX configuration optimized for CGI reading in step S4 refers to configuring a sufficiently long DRX sleep period to ensure that the UE has enough time to read the system information block of the neighboring cell.

[0013] In some embodiments of the present invention, the suspension of new data transmission scheduling for the UE in step S5 means that during the operation of the ANR function timer, the base station media access control layer suspends the issuance of new downlink data transmission tasks to the UE.

[0014] The present invention also proposes a 5G base station system for implementing the above method, comprising: The UE filtering module is used to filter out target UEs suitable for ANR measurement from connected UEs according to preset rules; The batch measurement configuration distribution module is used to distribute ANR measurement configurations to the target UE in batches and at time intervals. The CU measurement configuration distribution module is used to generate and distribute RRC signaling containing ANR measurement configuration. The DRX configuration management module is used to generate and distribute DRX configurations optimized for CGI reading, and guide the UE to exit the configuration after the CGI reading is completed.

[0015] In some embodiments of the present invention, it further includes: The ANR function timer management module is used to independently create and maintain a timer for each UE performing CGI measurements, and trigger the scheduling recovery process after the timer expires; The new data scheduling management module, in conjunction with the ANR function timer management module, is used to pause and resume new data scheduling for the corresponding UE during the effective period of the timer, after which the scheduling will be resumed upon timeout or successful reporting.

[0016] The present invention also proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the above-described method.

[0017] Compared with existing technologies, the 5G base station system ANR function optimization scheme provided by this invention brings the following significant benefits by introducing refined UE screening, batch measurement configuration, and a collaborative management mechanism for DRX and service scheduling: First, it effectively avoids signaling storms and reduces base station load: By sending measurement configurations to the selected UE group in batches and at controllable time intervals, it avoids the base station system from generating a large number of RRC reconfiguration signaling in a short period of time, thereby significantly reducing the risk of system overload caused by signaling storms and improving the operational stability of the base station. Second, achieve the optimal balance between ANR function and system performance: By precisely controlling the number and quality of UEs participating in ANR measurement and supplementing it with dynamic scheduling management, the execution of ANR function and the overall resource consumption of the base station system can reach the best balance point, ensuring the effectiveness of the function while minimizing the impact on system performance. Third, significantly reduce the impact on user service experience: Through refined UE screening rules, users who are conducting high-priority services such as voice calls or large data transmissions are proactively excluded, ensuring that ANR measurement tasks do not preempt the resources of these critical services, thereby guaranteeing the continuity of user services and the quality of experience. Fourth, intelligent service scheduling management: By maintaining an independent ANR function timer for each UE and suspending its new data transmission scheduling during the period, an undisturbed "quiet period" is created for the UE to read neighbor cell information. This directly improves the measurement success rate and avoids perception degradation caused by service transmission interruption. Fifth, significantly improve the success rate of acquiring neighboring cell CGI information: By issuing DRX configurations specifically optimized for CGI reading and ensuring that the UE has a sufficiently long and undisturbed sleep period during the measurement period to read neighboring cell system information, the problem of CGI acquisition failure caused by insufficient time or service interference is fundamentally solved, greatly improving the accuracy and reliability of ANR measurement. Sixth, improve the overall efficiency and timeliness of ANR functionality: Through modular and process-oriented collaborative management, the entire process from UE screening and configuration to measurement execution and resource recovery is automated and optimized. This not only reduces reliance on manual intervention and saves maintenance manpower, but also makes the discovery and updating of neighbor cell relationships faster and more accurate, enhancing the network's self-optimization capabilities.

[0018] In summary, this invention systematically solves the extensive management problem in existing ANR technology through a series of collaborative and innovative technical means. Ultimately, while improving the effectiveness of the ANR function itself, it ensures the overall network performance and the end-user's business experience, achieving multi-dimensional technical effect optimization. Attached Figure Description

[0019] Figure 1 This is a flowchart of a method for optimizing ANR functionality in a 5G base station system according to the present invention. Detailed Implementation

[0020] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0021] To facilitate understanding, before introducing the embodiments of this disclosure, several terms involved in the embodiments of this disclosure will be explained as follows: UE, User Equipment; SON: Self-Organizing and Self-Optimization Network; ANR: Automatic Neighbor Relation; PCI: Physical Cell Identifier; CGI: Cell Global Identifier; DRX: Discontinuous Reception.

[0022] The following reference Figure 1 This invention provides a method for optimizing ANR functionality in a 5G base station system, the method comprising: Step S1: When the ANR function is activated, the target UE group suitable for ANR measurement is selected from the connected UEs in the current system according to the preset UE screening rules. Step S2: Divide the target UE group into multiple batches, and according to the batching rules, send ANR measurement configuration to each batch of UEs at set time intervals and the number of UEs in each batch; Step S3: Receive the neighbor cell PCI and RSRP information reported by the UE based on the ANR measurement configuration; Step S4: When it is necessary to guide the UE to perform neighboring cell CGI measurement, an RRC reconfiguration signaling is generated. This signaling contains both the CGI measurement configuration and the DRX configuration optimized for CGI reading, and is sent to the corresponding UE. Step S5: While sending the DRX configuration to the UE, start an ANR function timer for the UE, and during the effective period of the timer, suspend the scheduling of new data transmissions to the UE. Step S6: When one of the following conditions is met, resume new data scheduling for the UE and guide the UE to exit the DRX configuration state via RRC reconfiguration signaling: Condition A: The neighboring cell CGI information successfully reported by the UE is received; Condition B: The ANR function timer times out.

[0023] This invention achieves an optimal balance between ANR function execution and overall base station system resource consumption by precisely controlling the number and quality of UEs participating in ANR measurements and employing dynamic scheduling management. This ensures functional effectiveness while minimizing the impact on system performance, thus achieving the best balance between ANR function and system performance. Furthermore, by independently maintaining an ANR function timer for each UE and suspending its new data transmission scheduling during this period, an undisturbed "quiet period" is created for UEs to read neighbor cell information. This directly improves the measurement success rate and avoids perceived degradation caused by service transmission interruptions. Through modular and process-oriented collaborative management, this invention achieves fully automated optimization of the entire process from UE selection and configuration to measurement execution and resource recovery. This not only reduces reliance on manual intervention and saves maintenance manpower but also makes the discovery and updating of neighbor cell relationships faster and more accurate, enhancing the network's self-optimization capabilities.

[0024] In some embodiments of the present invention, the preset UE filtering rules in step S1 include: filtering UEs that have not reported A1 events, support ANR measurement capabilities, and are not in voice services or large data volume services; the support for ANR measurement capabilities refers to the UE's ability to simultaneously support the ability to report CGI information and the ability to support long-term DRX configuration.

[0025] This invention proactively excludes users who are engaged in high-priority services such as voice calls or large data transmissions through refined UE screening rules, ensuring that ANR measurement tasks do not preempt the resources of these critical services, thereby guaranteeing the continuity of user services and the quality of user experience.

[0026] In some embodiments of the present invention, the time interval and the number of UEs in each batch in the batching rules described in step S2 can be dynamically and adaptively adjusted according to the real-time load status of the base station system or pre-configured by the operator.

[0027] It is understood that by sending measurement configurations to the selected UE group in batches at controllable time intervals, this invention avoids generating a large number of RRC reconfiguration signaling messages in a short period of time for the base station system, thereby significantly reducing the risk of system overload caused by signaling storms and improving the operational stability of the base station.

[0028] In some embodiments of the present invention, the DRX configuration optimized for CGI reading in step S4 refers to configuring a sufficiently long DRX sleep period to ensure that the UE has enough time to read the system information block of the neighboring cell.

[0029] Understandably, by issuing DRX configurations specifically optimized for CGI reading and ensuring that the UE has a sufficiently long and undisturbed sleep period during the measurement to read neighboring cell system information, the problem of CGI acquisition failure due to insufficient time or service interference is fundamentally solved, greatly improving the accuracy and reliability of ANR measurement.

[0030] In some embodiments of the present invention, the suspension of new data transmission scheduling for the UE in step S5 means that during the operation of the ANR function timer, the base station media access control layer suspends the issuance of new downlink data transmission tasks to the UE.

[0031] Understandably, firstly, regarding the targets of ANR measurement configuration distribution—namely, connected UEs in the current system—UEs can be screened based on certain rules and ANR measurement configurations can be distributed in batches. This reduces the overall system measurement load while avoiding signaling storms caused by excessive reconfiguration signaling. Specifically, the rules refer to screening out UEs that have not reported A1 events, support ANR capabilities (supporting reportCGI and LongDRX configuration), and are not in voice or large-data-volume services. In other words, UEs suitable for neighbor cell information measurement are selected. Furthermore, ANR measurement configurations are distributed to the selected UEs in batches at certain time intervals. Parameters such as the time interval and the number of UEs distributed in each batch can be manually controlled.

[0032] Secondly, in scenarios with a limited number of UEs, to ensure the measurement efficiency of the ANR function and the accurate reporting of neighboring cell CGI information, specific LongDRX configuration content is further issued to the selected UEs. Sufficient sleep state parameters are configured to facilitate the UE's reading of common messages from neighboring cells, thereby successfully measuring and reporting neighboring cell CGI information. The LongDRX configuration content is sent to the relevant UEs along with the RRC reconfiguration signaling related to the ANR measurement configuration, and this configuration is promptly deleted after the neighboring cell CGI information is successfully read to prevent impact on the UE's normal service performance.

[0033] Furthermore, for the selected UEs used for ANR (Application Not Responding) functionality, the base station system will maintain an independent ANR function timer for each UE. During the timer's validity period, the base station system will suspend the scheduling process for that UE to avoid DRX (Dual Relationship Execution Rate) interruptions caused by new data scheduling during the acquisition of neighbor cell CGI information, thus minimizing the risk of neighbor cell CGI information reading failures. After the ANR function timer expires, the base station system will promptly resume the scheduling process for that UE to prevent prolonged negative impacts on data transmission and reception, thereby reducing the impact on overall performance and user service experience.

[0034] Example 1 Scenario: The 5G base station system has enabled ANR function. The corresponding frequency point of the neighboring cell to be tested is the same frequency point. There are 20 connected UEs in the current serving cell.

[0035] A reasonable selection of UEs is made, specifically those that have not reported A1 events, support intra-frequency ANR capability (support reportCGI and LongDRX configuration), and are not currently engaged in voice or high-volume data services. If 15 UEs are selected, ANR measurement configurations can be distributed in batches at 30-second intervals (manually configurable and flexibly modifiable), with each batch distributed to 5 UEs (manually configurable and flexibly modifiable), for a total of 15 / 5=3 batches. ANR measurements are then performed, and a reasonably configured DRX configuration is distributed during the reportCGI process, such as a LongDRX configuration with an Inactivity Timer parameter configuration greater than 200ms.

[0036] Example 2 Scenario: The 5G base station system has enabled ANR function. The corresponding frequency point of the neighboring cell to be tested is an inter-frequency point. There are 10 connected UEs in the current serving cell.

[0037] A reasonable selection of UEs is made, specifically those that have not reported A1 events, support inter-frequency ANR capabilities (support reportCGI and LongDRX configuration), and are not currently engaged in voice or high-volume data services. If 8 UEs are selected, ANR measurement configurations can be distributed in batches at 30-second intervals (manually configurable and modifiable). Each batch will be distributed to 6 UEs (manually configurable and modifiable). ANR measurements will then be performed in the order of the first batch of 6 UEs and the second batch of 2 UEs. During the reportCGI process, a reasonable DRX configuration will be distributed, such as a LongDRX configuration with an Inactivity Timer parameter configuration greater than 200ms.

[0038] Example 3 Scenario: The 5G base station system has ANR function enabled. The corresponding frequency point of the neighboring cell to be tested is the same frequency point. There are 10 connected UEs in the current serving cell.

[0039] A reasonable selection of UEs is made, specifically those that have not reported A1 events, support intra-frequency ANR capability (supporting reportCGI and LongDRX configuration), and are not currently engaged in voice or high-volume data services. If no suitable UEs are selected, the interval timer and parameters related to the number of UEs to be distributed in each batch can be reused to wait until a sufficient number of suitable UEs are available before distributing ANR measurement configurations.

[0040] It should be noted that verifying that the number of UEs is sufficient means that if an interval timer of 30 seconds is set (manually configurable and can be flexibly modified), and the number of UEs sent in each batch is 3 (manually configurable and can be flexibly modified), then when the base station system finds that the number of suitable UEs is 0 during the initial screening, it will wait for the interval timer duration of 30 seconds, and then perform UE screening again at the beginning of the next 30-second period. If the number of suitable UEs is still 0 during the second screening, the waiting and screening will be repeated. If the number of suitable UEs is greater than 0 during the second or nth screening, the measurement configuration will be sent. At this time, if the number of UEs is in the range of (0,3), only one batch will be sent. If it is greater than 3, the batches will be sent according to the previously described rules.

[0041] The present invention also proposes a 5G base station system for implementing the above method, comprising: The UE filtering module is used to filter out target UEs suitable for ANR measurement from connected UEs according to preset rules; The batch measurement configuration distribution module is used to distribute ANR measurement configurations to the target UE in batches and at time intervals. The CU measurement configuration distribution module is used to generate and distribute RRC signaling containing ANR measurement configuration. The DRX configuration management module is used to generate and distribute DRX configurations optimized for CGI reading, and guide the UE to exit the configuration after the CGI reading is completed.

[0042] In some embodiments of the present invention, it further includes: The ANR function timer management module is used to independently create and maintain a timer for each UE performing CGI measurements, and trigger the scheduling recovery process after the timer expires; The new data scheduling management module, in conjunction with the ANR function timer management module, is used to pause and resume new data scheduling for the corresponding UE during the effective period of the timer, after which the scheduling will be resumed upon timeout or successful reporting.

[0043] It is understood that this invention is based on the common 5G base station system ANR function operation process and configuration interface, and adds UE screening, batch measurement configuration distribution, DRX configuration distribution, ANR measurement timer maintenance and new transmission data scheduling management modules. Through the synergistic effect of each module, a portion of UEs are reasonably screened for ANR measurement and the DRX configuration is updated in a timely manner to achieve the optimal balance between ANR function effect and overall system performance.

[0044] The present invention also proposes a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method as described in any one of claims 1 to 5.

[0045] In summary, this invention optimizes the UE selection and measurement configuration distribution processes for the existing 5G base station system's ANR function. It rationally selects a subset of UEs for batch ANR measurements and promptly updates DRX configurations, saving manpower and improving the accuracy and timeliness of ANR measurements. This achieves an optimal balance between ANR functionality and overall system performance. Ultimately, through a series of collaborative and innovative technical means, this invention systematically solves the extensive management problems inherent in existing ANR technologies. It improves the effectiveness of the ANR function itself while ensuring overall network performance and end-user service experience, achieving multi-dimensional technical optimization.

[0046] Although embodiments of the invention have been shown and described, those skilled in the art will understand that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims

1. A method for optimizing ANR functionality in a 5G base station system, characterized in that, Includes the following steps: S1. When the ANR function is activated, the target UE group suitable for ANR measurement is selected from the connected UEs in the current system according to the preset UE screening rules. S2. Divide the target UE group into multiple batches, and according to the batching rules, send ANR measurement configuration to each batch of UEs at set time intervals and the number of UEs in each batch; S3. Receive the neighboring cell PCI and RSRP information reported by the UE based on the ANR measurement configuration; S4. When it is necessary to guide the UE to perform neighboring cell CGI measurement, generate an RRC reconfiguration signaling message. This signaling message contains both the CGI measurement configuration and the DRX configuration optimized for CGI reading, and sends it to the corresponding UE. S5. While sending the DRX configuration to the UE, start an ANR function timer for the UE, and suspend the scheduling of new data transmissions to the UE during the effective period of the timer. S6. Under one of the following conditions, resume new data scheduling for the UE and guide the UE to exit the DRX configuration state via RRC reconfiguration signaling: Condition A: The neighboring cell CGI information successfully reported by the UE is received; Condition B: The ANR function timer times out.

2. The method according to claim 1, characterized in that, The preset UE filtering rules mentioned in step S1 include: filtering UEs that have not reported A1 events, support ANR measurement capabilities, and are not in voice services or large data volume services; the support for ANR measurement capabilities refers to the UE's ability to simultaneously support the ability to report CGI information and the ability to support long-term DRX configuration.

3. The method according to claim 1, characterized in that, The time interval and the number of UEs in each batch in the batching rules described in step S2 can be dynamically and adaptively adjusted according to the real-time load status of the base station system or pre-configured by the operator.

4. The method according to claim 1, characterized in that, The DRX configuration optimized for CGI reading mentioned in step S4 refers to configuring a sufficiently long DRX sleep period to ensure that the UE has enough time to read the system information block of the neighboring cell.

5. The method according to claim 1, characterized in that, The suspension of new data transmission scheduling for the UE in step S5 refers to the base station media access control layer suspending the issuance of new downlink data transmission tasks to the UE during the operation of the ANR function timer.

6. A 5G base station system for implementing the method as described in any one of claims 1 to 5, characterized in that, include: The UE filtering module is used to filter out target UEs suitable for ANR measurement from connected UEs according to preset rules; The batch measurement configuration distribution module is used to distribute ANR measurement configurations to the target UE in batches and at time intervals. The CU measurement configuration distribution module is used to generate and distribute RRC signaling containing ANR measurement configuration. The DRX configuration management module is used to generate and distribute DRX configurations optimized for CGI reading, and guide the UE to exit the configuration after the CGI reading is completed.

7. The 5G base station system according to claim 6, characterized in that, Also includes: The ANR function timer management module is used to independently create and maintain a timer for each UE performing CGI measurements, and trigger the scheduling recovery process after the timer expires; The new data scheduling management module, in conjunction with the ANR function timer management module, is used to pause and resume new data scheduling for the corresponding UE during the effective period of the timer, after which the scheduling will be resumed upon timeout or successful reporting.

8. A computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the method as described in any one of claims 1 to 5.

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