Base station clustering method, apparatus, readable storage medium and computer program product

Abstract

Embodiments of the present application provide a base station clustering method, device, readable storage medium and computer program product. The method comprises: determining a target master base station and N candidate slave base stations, wherein N is greater than or equal to 2; sending a first instruction to the target master base station and receiving time delay data sent by the target master base station, wherein the first instruction is used to instruct to measure time delay data between the target master base station and the candidate slave base stations; and selecting a target slave base station from the candidate slave base stations and generating a clustering suggestion according to a preset transmission time delay strategy and the time delay data. The scheme of the present application solves the problems of low clustering efficiency and poor service performance caused by traditional qualitative estimation through quantitative time delay measurement and dynamic strategy optimization, and is more suitable for actual complex communication environment.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, specifically to a base station clustering method, apparatus, readable storage medium, and computer program product. Background Technology

[0002] In the intelligent base station architecture, a primary base station and multiple secondary base stations are clustered together, sharing the computing resources of the primary base station. Current base station clustering technologies exhibit the following issues: Base station clustering strategies are based on a qualitative relationship between the transmission network architecture and transmission latency, such as: the transmission latency between base stations within the same access switch is the lowest; the transmission latency between base stations connected to different access switches within the same transmission access ring is the next lowest; and the transmission latency between base stations connected to different transmission access rings is the lowest. Insufficient clustered base stations lead to wasted computing resources. Some base stations have low inter-base station latency, meeting clustering requirements, but are not included in the clustering scope due to limitations in qualitative analysis; actual transmission latency exceeds service requirements, causing service anomalies. The actual latency between some base stations exceeds service requirements.

[0003] In summary, existing technologies often involve complex real-world transmission networks where factors such as switch performance, fiber optic cable length, switch hop count, and route diversity significantly impact transmission latency. Qualitative estimation cannot accurately quantify these factors, resulting in a failure to precisely reflect actual transmission latency. Clustering strategies based on qualitative estimation may lead to insufficient base station clusters or excessive latency, affecting computational resource utilization and service performance, and exhibiting low clustering efficiency. Summary of the Invention

[0004] At least one embodiment of this application provides a base station clustering method, apparatus, readable storage medium, and computer program product to address the problems of low clustering efficiency and poor service performance in existing base station clustering technologies that rely on qualitative estimation of transmission delay.

[0005] To solve the above-mentioned technical problems, this application is implemented as follows:

[0006] In a first aspect, embodiments of this application provide a base station clustering method, applied to a management and control platform, including:

[0007] Determine the target master base station and N candidate slave base stations, where N is greater than or equal to 2;

[0008] Send a first instruction to the target master base station and receive latency data sent by the target master base station, wherein the first instruction is used to instruct the measurement of latency data between the target master base station and the candidate slave base station;

[0009] Based on the preset transmission delay strategy and the delay data, a target slave base station is selected from the candidate slave base stations and a clustering suggestion is generated.

[0010] Optionally, the target main base station is determined, including at least one of the following:

[0011] When the first triggering condition is met, a preset main base station is used as the target main base station and connected to the target main base station; the first triggering condition includes: when the intelligent computing base station is clustered; when the intelligent computing base station adds a new service; when the intelligent computing base station service encounters a problem and it is speculated that the transmission delay may exceed the delay threshold.

[0012] Under the condition of meeting the second triggering time, the target main base station is determined and connected within the clustering area; the second triggering time includes: when a batch of base stations within a preset range are clustered into intelligent interconnection and computing base stations; when a batch of intelligent interconnection and computing clusters within a preset range add new services.

[0013] Optionally, determining and connecting to the target primary base station within the cluster area includes:

[0014] If there is a centralized wireless access network (C-RAN) base station in the cluster area, the baseband processing unit (BBU) of the C-RAN base station is determined as the target main base station.

[0015] If there are multiple C-RAN base stations in the cluster area, the base station with a large number of centralized BBUs or a large service carrying capacity shall be identified as the target main base station.

[0016] If the cluster area consists entirely of Distributed Radio Access Network (D-RAN) base stations, the base station with the highest traffic volume is identified as the target primary base station.

[0017] Optionally, N candidate base stations are determined, including at least one of the following:

[0018] Other base stations belonging to the same transmission access switch as the target main base station, excluding the target main base station, are identified as N candidate slave base stations;

[0019] Other base stations belonging to the same transmission access ring as the target main base station, excluding the target main base station, are identified as N candidate slave base stations;

[0020] Other base stations belonging to the same transmission aggregation ring as the target main base station, excluding the target main base station, are identified as N candidate slave base stations;

[0021] The neighboring base stations of the target master base station are identified as N candidate slave base stations;

[0022] Other potential base stations that meet the preset network conditions are identified as N candidate base stations.

[0023] Optionally, when the target main base station is determined to be in a state that satisfies the second triggering condition,

[0024] Sending a first instruction to the target main base station, including:

[0025] When the target main base station meets the first triggering timing or preset timing period measurement conditions, a first instruction is sent to the target main base station.

[0026] Optionally, based on a preset transmission delay strategy and the delay data, a target slave base station is selected from the candidate slave base stations, and a clustering suggestion is generated, including:

[0027] Determine the transmission delay requirements;

[0028] According to the preset transmission delay strategy and the delay data, a target slave base station is selected from N candidate slave base stations, including at least one of the following: the maximum transmission delay from the target master base station to the slave base station is less than the minimum transmission delay requirement from the target master base station to the slave base station; the maximum transmission delay from the slave base station to the target master base station is less than the minimum transmission delay requirement from the slave base station to the target master base station; other preset transmission delay selection strategies;

[0029] Based on the maximum number of slave base stations supported by the target master base station and the transmission latency requirements, a clustering suggestion is generated.

[0030] Secondly, embodiments of this application provide a base station clustering method, applied to a first base station, comprising:

[0031] The system receives a first instruction sent by the management and control platform. The first instruction is used to instruct the measurement of latency data between the target primary base station and the candidate secondary base station, wherein the first base station is the target primary base station.

[0032] The latency data between the target master base station and the candidate slave base station is measured and sent to the management and control platform.

[0033] Optionally, receive the first instruction sent by the control platform, including:

[0034] Under the condition that the preset conditions are met, the first instruction sent by the management and control platform is received; the preset conditions are that the target main base station meets the first triggering time or the management and control platform triggers the preset time period measurement; the first triggering time includes: when the intelligent sensing and computing base station is clustered; when the intelligent sensing and computing cluster adds a new service; when the intelligent sensing and computing cluster service has a problem and it is speculated that the transmission delay may exceed the delay threshold.

[0035] Based on the transmission delay measurement requirements and the preset transmission delay measurement method, delay measurement data of N candidate base stations are determined; the preset transmission delay measurement method includes at least one of the following: round-trip delay measurement; delay detection measurement; one-way delay measurement; repeated measurement and statistical delay distribution.

[0036] Thirdly, embodiments of this application provide a base station clustering device applied to a management and control platform, comprising:

[0037] The first determining module is used to determine the target master base station and N candidate slave base stations, wherein N is greater than or equal to 2;

[0038] A first processing module is configured to send a first instruction to the target primary base station and receive latency data sent by the target primary base station, wherein the first instruction is configured to instruct the measurement of latency data between the target primary base station and the candidate secondary base station;

[0039] The second processing module is used to select a target slave base station from the candidate slave base stations and generate a clustering suggestion based on a preset transmission delay strategy and the delay data.

[0040] Fourthly, embodiments of this application provide a base station clustering device, applied to a first base station, comprising:

[0041] The first receiving module is used to receive a first instruction sent by the management and control platform. The first instruction is used to instruct the measurement of latency data between the target main base station and the candidate slave base station, wherein the first base station is the target main base station.

[0042] The third processing module is used to measure and obtain the latency data between the target master base station and the candidate slave base station, and send it to the management and control platform.

[0043] Fifthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method described in the first aspect, or implements the steps of the method described in the second aspect.

[0044] In a sixth aspect, embodiments of this application provide a computer program product, including computer instructions that, when executed by a processor, implement the steps of the method described in the first aspect, or implement the steps of the method described in the second aspect.

[0045] Compared with existing technologies, the base station clustering method, apparatus, readable storage medium, and computer program product provided in this application directly measure the actual latency data between the target master base station and candidate slave base stations by sending instructions to the master base station. This ensures that clustering decisions are based on accurate transmission latency information, reducing bias caused by qualitative estimation. Based on the measured latency data and preset strategies, the optimal slave base station is selected from the candidate base stations to generate clustering recommendations. This dynamic adjustment mechanism can adapt to complex scenarios such as time-varying wireless channels and user mobility, avoiding the inefficiency caused by fixed cooperation relationships in traditional static clustering. Through accurate latency measurement and dynamic clustering optimization, transmission redundancy can be reduced, and the retransmission probability can be lowered, thereby improving data transmission efficiency and user rate experience, improving service performance, and solving the problems of low clustering efficiency and poor service performance caused by traditional qualitative estimation. Attached Figure Description

[0046] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the scope of this application. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings:

[0047] Figure 1 This is one of the flowcharts illustrating the base station clustering method provided in the embodiments of this application;

[0048] Figure 2 This is a second schematic flowchart of the base station clustering method provided in the embodiments of this application;

[0049] Figure 3 A flowchart illustrating a single base station clustering method based on east-west delay measurement provided in this application embodiment;

[0050] Figure 4 A flowchart of a batch base station clustering method based on east-west delay measurement provided in this application embodiment;

[0051] Figure 5 This is one of the structural schematic diagrams of the base station clustering device provided in the embodiments of this application;

[0052] Figure 6 This is a second schematic diagram of the base station clustering device provided in the embodiments of this application. Detailed Implementation

[0053] The terms "first," "second," etc., used in this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same class, without limiting the number of objects; for example, the first object can be one or more. Furthermore, "or" in this application indicates at least one of the connected objects. For example, "A or B" covers three scenarios: Scenario 1: including A but not B; Scenario 2: including B but not A; Scenario 3: including both A and B. The character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0054] The term "instruction" in this application can be either a direct instruction (or explicit instruction) or an indirect instruction (or implicit instruction). A direct instruction can be understood as one in which the sender explicitly informs the receiver of specific information, the operation to be performed, or the requested result, etc., in the instruction sent. An indirect instruction can be understood as one in which the receiver determines the corresponding information based on the instruction sent by the sender, or makes a judgment and determines the operation to be performed or the requested result, etc., based on the judgment result.

[0055] As described in the background section, in existing technologies, actual transmission networks are complex, and factors such as switch performance, fiber optic cable length, switch hop count, and transmission route diversity all significantly affect transmission latency. Qualitative estimation cannot accurately quantify these factors, resulting in an inability to precisely reflect actual transmission latency. Clustering strategies based on qualitative estimation may lead to insufficient base station clusters or excessive latency, affecting computing resource utilization and service performance, resulting in low clustering efficiency. To address at least one of these problems, embodiments of this application provide a base station clustering method, apparatus, readable storage medium, and computer program product, which can reduce or avoid the occurrence of the above situations.

[0056] Please refer to Figure 1 This application provides a base station clustering method, applied to a management and control platform, comprising:

[0057] Step 11: Determine the target master base station and N candidate slave base stations, where N is greater than or equal to 2.

[0058] In this embodiment, the target primary base station is typically a base station with a large coverage area and stable signal quality, serving as the core node of the cluster. Its selection must meet the requirement of continuous geographical coverage (e.g., no significant physical barriers in the coverage area) and ensure a moderate number of base stations within the cluster. Candidate secondary base stations must be geographically adjacent to the primary base station and have overlapping coverage areas to ensure coordinated signal optimization after clustering. During screening, base stations with hardware faults, unconfigured neighbor cell relationships, or substandard indicators (e.g., drop rate, handover success rate) must be excluded.

[0059] Step 12: Send a first instruction to the target master base station and receive latency data sent by the target master base station, wherein the first instruction is used to instruct the measurement of latency data between the target master base station and the candidate slave base station.

[0060] In this embodiment, the control platform sends a first instruction to the target master base station. The instruction includes a list of candidate slave base stations to be measured and measurement requirements (such as latency type, sampling duration, etc.). The target master base station establishes a communication link with the candidate slave base stations through testing tools (such as front-end testing software, GPS positioning equipment) and records end-to-end one-way latency data. During the measurement process, auxiliary parameters such as signal strength RRP and interference level RNR need to be collected simultaneously for subsequent strategy evaluation.

[0061] Step 13: Based on the preset transmission delay strategy and the delay data, select the target slave base station from the candidate slave base stations and generate a clustering suggestion.

[0062] In this embodiment, candidate slave base stations are scored from multiple dimensions according to preset strategies (such as minimizing end-to-end latency, balancing load, and reducing interference): base stations with latency below a threshold are prioritized; base stations with excessively high current load are avoided; and base stations with PCI conflicts or co-channel interference with the master base station are excluded. After comprehensive scoring, the optimal slave base station clustering scheme is selected, and a recommendation report containing information such as a base station list, latency distribution, and load prediction is output for network optimization personnel to refer to and implement.

[0063] The proposed solution replaces traditional empirical models with actual latency data, reducing errors and realizing dynamic measurement to replace qualitative estimation; it supports multi-objective optimization (such as latency + load), adapts to complex scenario requirements, and achieves policy flexibility; after clustering, the optimization effect can be verified through drive testing, forming a continuous iterative optimization closed loop.

[0064] Here, the management platform can be a wireless network management OMC (centralized management), a local network management system, or a small tool, among other platform forms.

[0065] Optionally, the target main base station is determined, including at least one of the following:

[0066] When the first triggering condition is met, a preset main base station is used as the target main base station and connected to the target main base station; the first triggering condition includes: when the intelligent computing base station is clustered; when the intelligent computing base station adds a new service; when the intelligent computing base station service encounters a problem and it is speculated that the transmission delay may exceed the delay threshold.

[0067] Under the condition of meeting the second triggering time, the target main base station is determined and connected within the clustering area; the second triggering time includes: when a batch of base stations within a preset range are clustered into intelligent interconnection and computing base stations; when a batch of intelligent interconnection and computing clusters within a preset range add new services.

[0068] In this embodiment, when the first triggering event is met, it is a single base station clustering method based on east-west delay measurement. The functional entities involved in the single base station clustering method include one management platform, one master station, and N candidate slave base stations. The first triggering event includes, but is not limited to: when performing intelligent sensing base station clustering; when adding new services to the intelligent sensing cluster; when problems occur in the intelligent sensing cluster service and transmission delay is suspected to exceed the delay threshold; and other events. When the second triggering event is met, it is a batch base station clustering method based on east-west delay measurement, with clustering participants including one management platform, M master stations, and N candidate slave base stations. The second triggering event includes, but is not limited to: when a batch of base stations within a large area perform intelligent sensing base station clustering; when a batch of intelligent sensing clusters within a large area add new services; and other batching events.

[0069] This application designs a first triggering event for scenarios such as intelligent sensing and computing base station clustering, new services, or latency anomalies. A management and control platform coordinates one master station and N candidate slave base stations to complete small-scale optimization through accurate latency measurement. A second triggering event is designed for large-scale intelligent sensing and computing network requirements. One management and control platform coordinates M master stations and N candidate slave base stations to achieve cross-regional batch clustering and improve collaborative efficiency.

[0070] Optionally, determining and connecting to the target primary base station within the cluster area includes:

[0071] If there is a centralized wireless access network (C-RAN) base station in the cluster area, the baseband processing unit (BBU) of the C-RAN base station is determined as the target main base station;

[0072] If there are multiple C-RAN base stations in the cluster area, the base station with a large number of centralized BBUs or a large service carrying capacity shall be identified as the target main base station.

[0073] If the cluster area consists entirely of Distributed Radio Access Network (D-RAN) base stations, the base station with the highest traffic volume is identified as the target primary base station.

[0074] In this embodiment, the core steps for selecting and connecting the master base station according to the provided base station clustering method are as follows: The management and control platform needs to clearly define the clustering objectives (such as intelligent sensing services, low-latency scenarios, etc.) and evaluate the network topology (transmission network and wireless network layout). For example, if the clustering area covers an industrial park, priority should be given to ensuring the transmission efficiency of latency-sensitive services (such as industrial control). The hardware capabilities (such as BBU / RRU configuration), software protocols (such as 5G NSA / SA architecture), and compatibility with the management and control platform of the candidate base stations are verified to ensure support for dynamic clustering command interaction.

[0075] C-RAN Scenario Priority Rules: If C-RAN base stations exist within a cluster area, the base station with the highest BBU centralization or the largest traffic volume is prioritized as the master base station. For example, a node with more than 60% of the total number of C-RAN base stations in the area having centralized BBUs is more suitable as the master control node. If multiple C-RAN base stations have similar traffic volumes, further filtering can be performed using latency measurement data (such as east-west transmission latency) to select the base station with the lowest latency.

[0076] D-RAN Scenario Selection Strategy: If all base stations are D-RAN base stations, priority should be given to base stations with high service load (such as cell sites with more than 50,000 daily users) because they have higher resource redundancy and can support more base station collaboration.

[0077] Optionally, this application can also determine the target primary base station based on geographic centrality. For example, base stations located at the geometric center of the coverage area can be prioritized to reduce signal coverage overlap within the cluster. The target primary base station can also be determined based on energy efficiency. For example, in a green network scenario, the base station with the best energy efficiency ratio (e.g., power consumption / throughput) can be prioritized as the primary node.

[0078] This application provides a dynamic priority mechanism. By combining the centralized characteristics of C-RAN with the service orientation of D-RAN, clustering efficiency is improved. Combined with geographical features and electromagnetic interference avoidance principles (such as distance from high-voltage lines and metal factories), the long-term stable operation of the main base station is ensured.

[0079] Furthermore, after identifying the target primary base station, a communication link is established with the primary base station via the northbound interface to synchronize configuration parameters (such as latency measurement period and load reporting threshold). Then, a command is issued to trigger end-to-end latency measurement between the primary base station and the candidate secondary base station to verify the accuracy of the data.

[0080] Optionally, N candidate base stations are determined, including at least one of the following:

[0081] Other base stations belonging to the same transmission access switch as the target main base station, excluding the target main base station, are identified as N candidate slave base stations;

[0082] Other base stations belonging to the same transmission access ring as the target main base station, excluding the target main base station, are identified as N candidate slave base stations;

[0083] Other base stations belonging to the same transmission aggregation ring as the target main base station, excluding the target main base station, are identified as N candidate slave base stations;

[0084] The neighboring base stations of the target master base station are identified as N candidate slave base stations;

[0085] Other potential base stations that meet the preset network conditions are identified as N candidate base stations.

[0086] In this embodiment, other base stations sharing the same transmission access switch as the target main base station are designated as candidate slave base stations. This achieves the advantage of resource sharing: base stations under the same switch can achieve low-latency, high-bandwidth data transmission through shared backhaul links (such as optical fibers), reducing resource contention in cross-device scheduling. Centralized transmission equipment facilitates unified configuration and fault location, reducing operational complexity.

[0087] In this embodiment, other base stations belonging to the same transmission access ring as the target primary base station (such as adjacent nodes in a ring topology) are considered as candidate secondary base stations. Ring topologies inherently possess redundancy characteristics; after clustering, ring network protection mechanisms can improve transmission reliability and prevent link interruptions caused by single-point failures. Base stations within the ring can dynamically distribute service traffic, for example, balancing user access pressure in high-density areas such as transportation hubs.

[0088] This application designates other base stations belonging to the same transmission aggregation ring as the target main base station (such as a topology where multiple access rings converge to a core node) as candidate slave base stations. The aggregation ring can coordinate transmission resources over a wider area, supporting flexible scheduling of cross-ring services, such as cross-regional vehicle-to-everything (V2X) data backhaul. Through aggregation layer signaling interaction, interference coordination between cross-ring base stations (such as power control and time-frequency resource allocation) is achieved.

[0089] This application designates other base stations geographically adjacent to the target primary base station, excluding the target primary base station, as candidate secondary base stations. Neighboring base stations can improve overall coverage quality through inter-cell cooperation (such as joint beamforming and interference suppression), for example, reducing inter-cell interference in densely populated urban areas. Closely located base stations have lower end-to-end latency, making them suitable for URLLC (Ultra-Reliable Low-Latency Communication) scenarios (such as industrial control and telemedicine).

[0090] Applicable scenarios: residential areas, commercial centers, and other areas with high capacity and high latency requirements.

[0091] Other potential base stations that meet preset network conditions: Base stations that meet specific conditions are selected through algorithm evaluation, such as: load balancing: selecting base stations with current load below a threshold to avoid performance degradation due to overload; excluding base stations with PCI conflicts or co-channel interference with the main base station; and prioritizing base stations with the best energy efficiency ratio (e.g., power consumption / throughput). Technical logic:

[0092] This application achieves precise selection of candidate base stations through hierarchical topology constraints (access ring / aggregation ring) and dynamic policy evaluation (neighboring base stations, preset conditions): base stations sharing transmission equipment reduce backhaul costs; ring network topology and interference synergy improve system reliability; neighboring base stations are strongly correlated with latency-sensitive scenarios, while other conditions ensure the long-term stability of the cluster. This application provides a flexible and scalable technical path for the efficient clustering of converged networks.

[0093] Optionally, when the target primary base station is in a state determined under the condition of satisfying the second triggering timing, a first instruction is sent to the target primary base station, including:

[0094] When the target main base station meets the first triggering timing or preset timing period measurement conditions, a first instruction is sent to the target main base station.

[0095] In this embodiment, for any candidate primary base station, the management platform triggers a transmission latency measurement to the candidate primary base station. The triggering timing can be chosen in several ways, including but not limited to: on-demand measurement and periodic measurement. On-demand measurement includes, for example, when performing intelligent sensing base station clustering; when adding new services to the intelligent sensing cluster; and when problems occur in the intelligent sensing cluster service, and the transmission latency is suspected to exceed the latency threshold. Simultaneously, the management platform must also avoid sudden bursts of measurement messages, which can be achieved through various methods such as serialization and delay to prevent latency measurements from affecting service operation.

[0096] Optionally, based on a preset transmission delay strategy and the delay data, a target slave base station is selected from the candidate slave base stations, and a clustering suggestion is generated, including:

[0097] Determine the transmission delay requirements;

[0098] According to the preset transmission delay strategy and the delay data, a target slave base station is selected from N candidate slave base stations, including at least one of the following: the maximum transmission delay from the target master base station to the slave base station is less than the minimum transmission delay requirement from the target master base station to the slave base station; the maximum transmission delay from the slave base station to the target master base station is less than the minimum transmission delay requirement from the slave base station to the target master base station; other preset transmission delay selection strategies;

[0099] Based on the maximum number of slave base stations supported by the target master base station and the transmission latency requirements, a clustering suggestion is generated.

[0100] In this embodiment, the process of selecting a target slave base station from candidate slave base stations and generating clustering recommendations based on a preset transmission delay strategy and delay data is as follows: Based on network service requirements (e.g., URLLC service requires end-to-end latency ≤ 1ms) and transmission link characteristics (e.g., fiber optic / microwave backhaul), two types of delay thresholds are preset: Master-to-Slave delay requirement: the maximum transmission delay from the target master base station to the candidate slave base station must be less than the preset minimum delay threshold (e.g., 5ms); Slave-to-Master delay requirement: the maximum transmission delay from the candidate slave base station to the target master base station must be less than the preset minimum delay threshold (e.g., 3ms). The thresholds are dynamically adjusted in conjunction with real-time delay data, for example, relaxing delay requirements during peak service periods to ensure capacity.

[0101] Selecting a target slave base station from N candidate slave base stations includes, but is not limited to: (1) Master-to-slave delay screening: if the maximum delay from the master base station to a candidate slave base station exceeds a preset threshold, the base station is excluded; (2) Slave-to-master delay screening: if the maximum delay from the candidate slave base station to the master base station exceeds a preset threshold, the base station is excluded; (3) Other strategies: support custom strategies (such as prioritizing base stations with low delay volatility, comprehensive evaluation combined with interference level, etc.).

[0102] Based on the maximum number of slave base stations supported by the target master base station, select the top X base stations with the highest scores from the filtered base stations as target slave base stations, and output the clustering scheme. Generate a recommendation report containing the following content, including but not limited to: Base station list: physical location, model, and configuration parameters of the target slave base stations; Latency distribution: bidirectional latency statistics between master and slave base stations; Optimization suggestions: if the latency does not meet the standards, it is recommended to adjust the transmission link or add relay nodes, etc.

[0103] This application solves the problems of coarse latency assessment and capacity overrun in traditional clustering by adopting a hierarchical design of "latency measurement-policy screening-capacity verification", and provides an operable solution for the efficient deployment of synesthetic computing networks.

[0104] In summary, this application can achieve a reliable base station clustering scheme by obtaining accurate east-west transmission delay parameters of base stations; by obtaining accurate east-west transmission delay parameters of base stations and combining them with the transmission delay requirements of different intelligent communication and computing services, differentiated base station clustering schemes can be formulated; when problems occur in intelligent communication and computing clustering services and are suspected to be related to transmission delay, there is an effective means to measure and diagnose the east-west transmission delay.

[0105] Reference Figure 2 As shown, this application provides a base station clustering method applied to a first base station, including:

[0106] Step 21: Receive a first instruction sent by the management and control platform. The first instruction is used to instruct the measurement of latency data between the target primary base station and the candidate secondary base station, wherein the first base station is the target primary base station.

[0107] Step 22: Measure and obtain the latency data between the target primary base station and the candidate secondary base station, and send it to the management and control platform.

[0108] In this embodiment, after the control platform connects with the target master base station (i.e., the first base station), and receives the first instruction sent by the control platform, the target master base station measures the latency data between the target master base station and the candidate slave base station, and sends the measured latency data between the target master base station and the candidate slave base station to the control platform. The method for measuring transmission latency can be performed once or multiple times, depending on the latency accuracy requirements.

[0109] Optionally, the first instruction carries a latency accuracy requirement. The master base station selects a target slave base station from the candidate slave base stations and obtains transmission latency data through a preset measurement method. The specific implementation is as follows: Based on the latency accuracy requirement (e.g., microseconds or milliseconds), the master base station can reuse at least one of the following schemes: Measurement based on Internet Control Message Protocol (ICMP): By sending ICMP request messages and calculating the round-trip time (RTT), suitable for simple scenarios and scenarios with low accuracy requirements. Measurement based on User Datagram Protocol (UDP): Utilizing the transmission timestamps of UDP packets, it can penetrate firewalls and support multi-path measurement, but attention must be paid to UDP packet loss issues. One-Way Delay Measurement (OWDM): Directly measuring one-way latency through bidirectional timestamp synchronization technology, with accuracy reaching the microsecond level, suitable for high real-time scenarios such as industrial control. Other methods: such as timestamp options based on the TCP protocol or application layer heartbeat packets, suitable for specific protocol stack scenarios.

[0110] This application allows for single / multiple measurements: choose between a single rapid measurement or multiple sampling (e.g., 100 Ping packet tests) to improve data reliability, depending on your needs. Adjust the measurement frequency based on network load, for example, reducing the number of measurements during peak business periods to minimize resource consumption.

[0111] The primary base station reports the measurement results (i.e., the latency data between the target primary base station and the candidate secondary base station) to the management and control platform, including but not limited to the following key information: Latency distribution statistics: the average bidirectional latency, 99th percentile, and fluctuation coefficient between the primary and secondary base stations, used to assess link stability. Base station status identification: the physical location, model, current load, and interference level of the target secondary base station, assisting the management and control platform in decision-making. Anomaly alarm: if the latency exceeds a preset threshold, an alarm is triggered and an optimization solution is recommended (such as adjusting the transmission link or adding relay nodes). Real-time requirements: for URLLC (Ultra-Reliable Low-Latency Communication) services, a low-latency transmission protocol (such as FlexE) is used to ensure timely data reporting. Data compression and encryption: the latency data is lightweighted (e.g., sampling rate compression) and encrypted during transmission to reduce bandwidth consumption and security risks.

[0112] The method proposed in this application solves the problems of coarse latency assessment and delayed feedback in traditional clustering by adopting a design of "layered measurement method + accurate data reporting", and provides an operable solution for the efficient deployment of synesthetic computing networks.

[0113] Optionally, receive the first instruction sent by the control platform, including:

[0114] Under the condition that the preset conditions are met, the first instruction sent by the management and control platform is received; the preset conditions are that the target main base station meets the first triggering time or the management and control platform triggers the preset time period measurement; the first triggering time includes: when the intelligent sensing and computing base station is clustered; when the intelligent sensing and computing cluster adds a new service; when the intelligent sensing and computing cluster service has a problem and it is speculated that the transmission delay may exceed the delay threshold.

[0115] Based on the transmission delay measurement requirements and the preset transmission delay measurement method, delay measurement data of N candidate base stations are determined; the preset transmission delay measurement method includes at least one of the following: round-trip delay measurement; delay detection measurement; one-way delay measurement; repeated measurement and statistical delay distribution.

[0116] In this application, for any candidate primary base station, the management and control platform triggers transmission delay measurement to the candidate primary base station. There are several options for triggering this measurement, including but not limited to: on-demand measurement and periodic measurement. On-demand measurement includes, for example, when performing intelligent sensing base station clustering; when adding new services to the intelligent sensing cluster; and when problems occur in the intelligent sensing cluster service, and transmission delay is suspected to exceed the delay threshold. Simultaneously, the management and control platform must also avoid sudden bursts of measurement messages, which can be achieved through various methods such as serialization and delay to prevent delay measurement from affecting service operation.

[0117] The above describes various methods for each single-sided execution entity in the embodiments of this application. The following will explain, through two specific embodiments, a method for clustering a single base station cluster based on east-west delay measurement and a method for clustering a batch of base stations based on east-west delay measurement.

[0118] Reference Figure 3 As shown, this application provides a method for clustering a single base station based on east-west delay measurement. The clustering functional entities include one management platform, one master station, and N candidate slave base stations. The management platform can be a wireless network management OMC, a local network management system, or various other platform forms such as utility tools. The timing for triggering this clustering process includes, but is not limited to: when performing intelligent sensing base station clustering; when adding new services to the intelligent sensing cluster; when problems occur in the intelligent sensing cluster service and transmission delay is suspected to exceed the delay threshold; and other times.

[0119] The process includes:

[0120] Step (a): Connect to the main base station: The management and control platform connects to the pre-selected cluster target main base station.

[0121] Step (b): Select candidate slave base stations. The management platform selects N candidate slave base stations clustered with the main base station. Candidate slave base stations can be selected based on the wireless network topology and transmission network topology, including but not limited to: selecting other base stations belonging to the same transmission access switch as the main base station, excluding the target main base station, as candidate slave base stations;

[0122] Select other base stations that belong to the same transmission access ring as the main base station, excluding the target main base station, as candidate slave base stations;

[0123] Select other base stations that belong to the same transmission aggregation ring as the main base station, excluding the target main base station, as candidate slave base stations;

[0124] Select neighboring base stations of the primary base station as candidate slave base stations;

[0125] Other potential base stations.

[0126] The control platform inputs candidate slave base station network information, such as IP addresses, into the main base station.

[0127] Step (c): Measure transmission delay. The master base station selects one slave base station from N candidate slave base stations and measures the transmission delay. The transmission delay measurement can be performed using existing delay measurement schemes, including but not limited to: ICMP-based measurement methods; UDP-based measurement methods; methods such as One-Way Delay Measurement; and other measurement methods.

[0128] The method for measuring transmission delay can be performed once or repeatedly, depending on the required delay accuracy.

[0129] Step (d): Report transmission delay. The main base station reports the measured transmission delay results to the management and control platform.

[0130] Step (e): Store transmission latency. The management platform stores the transmission latency measurement results in the following manner.

[0131] Primary key, candidate slave base station;

[0132] Value group 1 represents the delay from the master base station to the slave base station. This includes, but is not limited to, various delay formats such as minimum, maximum, and average values.

[0133] Value group 2 represents the delay from the base station to the main base station. This includes, but is not limited to, various delay formats such as minimum, maximum, and average values.

[0134] Step (f): Repeat steps (c) to (e) above until all N candidates have completed the delay measurement from the base station.

[0135] Step (g): Generate clustering recommendations. The management platform selects suitable slave base stations and generates clustering recommendations based on the following factors: the transmission latency requirements of the base station clustering service. For example, intelligent service identification and traffic triggering in communication services have high transmission latency requirements, in the millisecond range; while joint deduplication of sensing targets in sensing services has lower transmission latency requirements. The transmission latency between the master base station and candidate slave base stations obtained through the above steps. Slave base stations that meet the conditions are selected according to the transmission latency strategy. The selection strategy includes, but is not limited to: maximum transmission latency from master base station to slave base station < minimum transmission latency requirement from master base station to slave base station; maximum transmission latency from slave base station to master base station < minimum transmission latency requirement from slave base station to master base station; other transmission latency selection strategies. The maximum number of slave cells supported by the master base station. This clustering strategy can also work in conjunction with other clustering strategies to generate clustering recommendations, such as working in conjunction with the east-west bandwidth clustering strategy.

[0136] Reference Figure 4 As shown, this application provides a method for batch base station clustering based on east-west delay measurement. The timing of triggering this process includes, but is not limited to: when a large number of base stations are clustered into intelligent and communication base stations; when new services are added to a large number of intelligent and communication base stations; and other batching events. The clustering participants include one management platform, M master base stations, and N candidate slave base stations. The management platform can be a wireless network management OMC, a comprehensive network management platform, or similar platform.

[0137] The process includes:

[0138] Step (1): Select and connect to the primary base station. The management platform selects candidate primary base stations for clustering from base stations within the domain and connects to the primary base station. This can be based on the transmission network topology and wireless network topology, including but not limited to: if there are C-RAN base stations within the cluster area, prioritize selecting a specific base station BBU in the C-RAN as the primary base station BBU; if there are multiple C-RAN base stations within the cluster area, prioritize selecting the base station with the most concentrated BBUs or the highest traffic volume as the primary base station; if all base stations within the cluster area are D-RAN base stations, prioritize selecting the base station with the highest traffic volume as the primary base station; other selection methods.

[0139] Step (2): Select candidate slave base stations. For any candidate master base station, the management platform selects N candidate slave base stations clustered with that master base station. Candidate slave base stations can be selected based on the wireless network topology and the transmission network topology, including but not limited to:

[0140] Select other base stations, excluding the target main base station, that belong to the same transmission access switch as the main base station as candidate slave base stations;

[0141] Select other base stations that belong to the same transmission access ring as the main base station, excluding the target main base station, as candidate slave base stations;

[0142] Select other base stations that belong to the same transmission aggregation ring as the main base station, excluding the target main base station, as candidate slave base stations;

[0143] Select neighboring base stations of the primary base station as candidate slave base stations;

[0144] Other potential base stations;

[0145] The control platform inputs candidate slave base station network information, such as IP addresses, into the main base station.

[0146] Step (3): Trigger transmission delay measurement. For any candidate primary base station, the management platform triggers a transmission delay measurement for the candidate primary base station. There are several options for triggering the measurement, including but not limited to: on-demand measurement and periodic measurement. On-demand measurement can be triggered when: when performing intelligent base station clustering; when adding new services to the intelligent base station cluster; or when problems occur in the intelligent base station cluster service and the transmission delay is suspected to exceed the delay threshold. At the same time, the management platform also needs to avoid sudden bursts of measurement messages. This can be achieved through various methods such as serialization and delay to prevent delay measurement from affecting service operation.

[0147] Step (4): Measure transmission delay. The master base station selects one slave base station from N candidate slave base stations and measures the transmission delay. The transmission delay measurement can reuse existing measurement schemes according to the delay accuracy requirements, including but not limited to: ICMP-based measurement methods; UDP-based measurement methods; methods such as One-Way Delay Measurement; and other measurement methods. Here, the transmission delay measurement method can be performed once or multiple times depending on the delay accuracy requirements.

[0148] Step (5): Report transmission delay. The main base station reports the measured transmission delay results to the management and control platform.

[0149] Step (6): Store transmission delay. The management platform stores the transmission delay measurement results between the main base station and each slave base station in the following manner:

[0150] Primary key 1, candidate primary base station;

[0151] Primary key 2, candidate slave base station;

[0152] Value group 1: Delay from master base station to slave base station. This includes, but is not limited to, minimum, maximum, and average values.

[0153] Value group 2 represents the time delay from the base station to the main base station. This includes, but is not limited to, minimum, maximum, and average values.

[0154] Step (7): Repeat steps 4 to 6 above until all N candidate slave base stations have completed the delay measurement for any candidate master base station.

[0155] Step (8): Generate clustering recommendations. The management platform selects slave base stations and generates clustering recommendations based on the following: the transmission latency requirements of base station clustering services. For example, intelligent service identification and traffic activation in communication services require millisecond-level transmission latency; while perception target fusion and deduplication in perception services have lower transmission latency requirements. The transmission latency between the master base station and candidate slave base stations obtained through the above steps. Slave base stations that meet the conditions are selected according to the transmission latency strategy. The selection strategy includes, but is not limited to: maximum transmission latency from master base station to slave base station < minimum transmission latency requirement from master base station to slave base station; maximum transmission latency from slave base station to master base station < minimum transmission latency requirement from slave base station to master base station; other transmission latency selection strategies. The maximum number of slave base stations supported by the master base station. This clustering strategy can also work in conjunction with other clustering strategies to generate clustering recommendations, such as working in conjunction with the east-west bandwidth clustering strategy.

[0156] Step (9): Repeat steps (1) to (8) above until all M primary base stations generate cluster proposals.

[0157] In summary, the base station clustering method based on east-west delay measurement in this application includes: a single base station clustering method based on east-west delay measurement; and a batch base station clustering method based on east-west delay measurement. Compared with the prior art, this application has at least the following advantages:

[0158] By obtaining accurate east-west transmission delay parameters of base stations, a base station clustering scheme with reliable delay can be achieved.

[0159] By obtaining accurate east-west transmission delay parameters of base stations and combining them with the transmission delay requirements of different intelligent sensing and computing services, differentiated base station clustering schemes can be formulated.

[0160] When problems occur in the intelligent cluster service of the sensory computing group, and it is suspected that they are related to transmission latency, there are effective means to measure and diagnose the east-west transmission latency.

[0161] The various methods of the embodiments of this application have been described above. Apparatus for implementing the above methods will now be provided.

[0162] Please refer to Figure 5 This application also provides a base station clustering device, applied to a management and control platform, comprising:

[0163] The first determining module 51 is used to determine the target master base station and N candidate slave base stations, wherein N is greater than or equal to 2;

[0164] The first processing module 52 is configured to send a first instruction to the target main base station and receive latency data sent by the target main base station, wherein the first instruction is configured to instruct the measurement of latency data between the target main base station and the candidate slave base station;

[0165] The second processing module 53 is used to select a target slave base station from the candidate slave base stations and generate a clustering suggestion based on a preset transmission delay strategy and the delay data.

[0166] Optionally, the first determining module 51 is used to determine the method of the target main base station, including at least one of the following:

[0167] When the first triggering condition is met, a preset main base station is used as the target main base station and connected to the target main base station; the first triggering condition includes: when the intelligent computing base station is clustered; when the intelligent computing base station adds a new service; when the intelligent computing base station service encounters a problem and it is speculated that the transmission delay may exceed the delay threshold.

[0168] Under the condition of meeting the second triggering time, the target main base station is determined and connected within the clustering area; the second triggering time includes: when a batch of base stations within a preset range are clustered into intelligent interconnection and computing base stations; when a batch of intelligent interconnection and computing clusters within a preset range add new services.

[0169] It should be noted that determining and connecting to the target primary base station within the cluster area includes:

[0170] If there is a centralized wireless access network (C-RAN) base station in the cluster area, the baseband processing unit (BBU) of the C-RAN base station is determined as the target main base station.

[0171] If there are multiple C-RAN base stations in the cluster area, the base station with a large number of centralized BBUs or a large service carrying capacity shall be identified as the target main base station.

[0172] If the cluster area consists entirely of Distributed Radio Access Network (D-RAN) base stations, the base station with the highest traffic volume is identified as the target primary base station.

[0173] Optionally, the first determining module 51 is used to determine N candidate slave base stations, including at least one of the following:

[0174] Other base stations belonging to the same transmission access switch as the target main base station, excluding the target main base station, are identified as N candidate slave base stations;

[0175] Other base stations belonging to the same transmission access ring as the target main base station, excluding the target main base station, are identified as N candidate slave base stations;

[0176] Other base stations belonging to the same transmission aggregation ring as the target main base station, excluding the target main base station, are identified as N candidate slave base stations;

[0177] The neighboring base stations of the target master base station are identified as N candidate slave base stations;

[0178] Other potential base stations that meet the preset network conditions are identified as N candidate base stations.

[0179] Optionally, when the target primary base station is determined to be in a state that satisfies the second triggering timing, the first processing module 52 is used to send a first instruction to the target primary base station, including:

[0180] When the target main base station meets the first triggering timing or preset timing period measurement conditions, a first instruction is sent to the target main base station.

[0181] Optionally, the second processing module 53 described above includes:

[0182] The first determining unit is used to determine the transmission delay requirement;

[0183] The first processing unit is configured to select a target slave base station from N candidate slave base stations according to a preset transmission delay strategy and the delay data, including at least one of the following: the maximum transmission delay from the target master base station to the slave base station is less than the minimum transmission delay requirement from the target master base station to the slave base station; the maximum transmission delay from the slave base station to the target master base station is less than the minimum transmission delay requirement from the slave base station to the target master base station; other preset transmission delay selection strategies;

[0184] The second processing unit is used to generate clustering suggestions based on the maximum number of slave base stations supported by the target master base station and the transmission delay requirements.

[0185] It should be noted that the device in this embodiment corresponds to the method applied to the control platform side described above. The implementation methods in each of the above embodiments are also applicable to the embodiments of this device and can achieve the same technical effect. The device provided in this application embodiment can implement all the method steps implemented in the above method embodiments and can achieve the same technical effect. Here, the parts that are the same as those in the method embodiments and the beneficial effects will not be described in detail.

[0186] Please refer to Figure 6 This application also provides a base station clustering device, applied to a first base station, comprising:

[0187] The first receiving module 61 is used to receive a first instruction sent by the management and control platform. The first instruction is used to instruct the measurement of the time delay data between the target main base station and the candidate slave base station, wherein the first base station is the target main base station.

[0188] The third processing module 62 is used to measure and obtain the latency data between the target master base station and the candidate slave base station, and send it to the management and control platform.

[0189] Optionally, the first receiving module 61 described above includes:

[0190] The first receiving unit is configured to receive a first instruction sent by the management and control platform when a preset condition is met; the preset condition is that the target main base station meets a first triggering time or the management and control platform triggers a preset time period measurement; the first triggering time includes: when the intelligent sensing and computing base station is clustered; when the intelligent sensing and computing cluster adds a new service; when the intelligent sensing and computing cluster service has a problem and it is speculated that the transmission delay may exceed the delay threshold.

[0191] The second receiving unit is used to determine the delay measurement data of N candidate base stations according to the transmission delay measurement requirements and the preset transmission delay measurement method; the preset transmission delay measurement method includes at least one of the following: round-trip delay measurement; delay detection measurement; one-way delay measurement; repeated measurement and statistical delay distribution.

[0192] It should be noted that the device in this embodiment corresponds to the method applied to the first base station side described above. The implementation methods in the above embodiments are all applicable to the embodiments of this device and can achieve the same technical effect. The device provided in this application embodiment can implement all the method steps implemented in the above method embodiments and can achieve the same technical effect. Here, the parts that are the same as those in the method embodiments and the beneficial effects will not be described in detail.

[0193] This application also provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program implements the various processes of the above-described base station clustering method embodiments and achieves the same technical effects. To avoid repetition, it will not be described again here. The computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0194] This application also provides a computer program product, including computer instructions. When the computer instructions are executed by a processor, they implement the various processes of the above-described base station clustering method embodiments and achieve the same technical effects. To avoid repetition, they will not be described again here.

[0195] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus 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 apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0196] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0197] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method for clustering base stations, characterized in that, Applications in management and control platforms include: Determine the target master base station and N candidate slave base stations, where N is greater than or equal to 2; Send a first instruction to the target master base station and receive latency data sent by the target master base station, wherein the first instruction is used to instruct the measurement of latency data between the target master base station and the candidate slave base station; Based on the preset transmission delay strategy and the delay data, a target slave base station is selected from the candidate slave base stations and a clustering suggestion is generated.

2. The method according to claim 1, characterized in that, The target main base station is identified, including at least one of the following: If the first triggering condition is met, the preset main base station will be used as the target main base station and connected to the target main base station; The first triggering timing includes: when the intelligent sensing base station is clustered; when the intelligent sensing cluster adds new services; when the intelligent sensing cluster service encounters problems and it is speculated that the transmission delay may exceed the delay threshold. Under the condition of meeting the second triggering time, the target main base station is determined and connected within the clustering area; the second triggering time includes: when a batch of base stations within a preset range are clustered into intelligent interconnection and computing base stations; when a batch of intelligent interconnection and computing clusters within a preset range add new services.

3. The method according to claim 2, characterized in that, Determining and connecting to the target primary base station within the cluster area includes: If there is a centralized wireless access network (C-RAN) base station in the cluster area, the baseband processing unit (BBU) of the C-RAN base station is determined as the target main base station. If there are multiple C-RAN base stations in the cluster area, the base station with a large number of centralized BBUs or a large service carrying capacity shall be identified as the target main base station. If the cluster area consists entirely of Distributed Radio Access Network (D-RAN) base stations, the base station with the highest traffic volume is identified as the target primary base station.

4. The method according to claim 1, characterized in that, N candidate base stations are identified, including at least one of the following: Other base stations belonging to the same transmission access switch as the target main base station, excluding the target main base station, are identified as N candidate slave base stations; Other base stations belonging to the same transmission access ring as the target main base station, excluding the target main base station, are identified as N candidate slave base stations; Other base stations belonging to the same transmission aggregation ring as the target main base station, excluding the target main base station, are identified as N candidate slave base stations; The neighboring base stations of the target master base station are identified as N candidate slave base stations; Other potential base stations that meet the preset network conditions are identified as N candidate base stations.

5. The method according to claim 2, characterized in that, When the target main base station is in a state determined under the condition of satisfying the second triggering timing. Sending a first instruction to the target main base station, including: When the target main base station meets the first triggering timing or preset timing period measurement conditions, a first instruction is sent to the target main base station.

6. The method according to claim 1, characterized in that, Based on a preset transmission delay strategy and the delay data, a target slave base station is selected from the candidate slave base stations, and a clustering suggestion is generated, including: Determine the transmission delay requirements; According to the preset transmission delay strategy and the delay data, a target slave base station is selected from N candidate slave base stations, including at least one of the following: the maximum transmission delay from the target master base station to the slave base station is less than the minimum transmission delay requirement from the target master base station to the slave base station; the maximum transmission delay from the slave base station to the target master base station is less than the minimum transmission delay requirement from the slave base station to the target master base station; other preset transmission delay selection strategies; Based on the maximum number of slave base stations supported by the target master base station and the transmission latency requirements, a clustering suggestion is generated.

7. A method for clustering base stations, characterized in that, Applied to the first base station, including: The system receives a first instruction sent by the management and control platform. The first instruction is used to instruct the measurement of latency data between the target primary base station and the candidate secondary base station, wherein the first base station is the target primary base station. The latency data between the target master base station and the candidate slave base station is measured and sent to the management and control platform.

8. The method according to claim 7, characterized in that, Receive the first instruction sent by the control platform, including: Under the condition that the preset conditions are met, the first instruction sent by the management and control platform is received; the preset conditions are that the target main base station meets the first triggering time or the management and control platform triggers the preset time period measurement; the first triggering time includes: when the intelligent sensing and computing base station is clustered; when the intelligent sensing and computing cluster adds a new service; when the intelligent sensing and computing cluster service has a problem and it is speculated that the transmission delay may exceed the delay threshold. Based on the transmission delay measurement requirements and the preset transmission delay measurement method, delay measurement data of N candidate base stations are determined; the preset transmission delay measurement method includes at least one of the following: round-trip delay measurement; delay detection measurement; one-way delay measurement; repeated measurement and statistical delay distribution.

9. A base station clustering device, characterized in that, Applications in management and control platforms include: The first determining module is used to determine the target master base station and N candidate slave base stations, wherein N is greater than or equal to 2; A first processing module is configured to send a first instruction to the target primary base station and receive latency data sent by the target primary base station, wherein the first instruction is configured to instruct the measurement of latency data between the target primary base station and the candidate secondary base station; The second processing module is used to select a target slave base station from the candidate slave base stations and generate a clustering suggestion based on a preset transmission delay strategy and the delay data.

10. A base station clustering device, characterized in that, Applied to the first base station, including: The first receiving module is used to receive a first instruction sent by the management and control platform. The first instruction is used to instruct the measurement of latency data between the target main base station and the candidate slave base station, wherein the first base station is the target main base station. The third processing module is used to measure and obtain the latency data between the target master base station and the candidate slave base station, and send it to the management and control platform.

11. 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 method as described in any one of claims 1 to 6, or implements the steps of the method as described in any one of claims 7 to 8.

12. A computer program product, characterized in that, Includes computer instructions that, when executed by a processor, implement the steps of the method as claimed in any one of claims 1 to 6, or implement the steps of the method as claimed in any one of claims 7 to 8.

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