基于云边协同的5G通信链路均衡负载控制系统设计
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四川中移通信技术工程有限公司

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Design of 5G Communication Link Balancing Load Control System Based on Cloud Edge Collaboration
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    摘要:

    5G通信网络中的链路密度大、传输数据量多,极易出现负载失衡及拥塞现象,为提高5G通信网络中各链路之间的均衡度,设计基于云边协同的5G通信链路均衡负载控制系统。改装链路数据采集器、处理器、交换机和负载控制器,加设云端服务器与边缘服务器,将优化设备接入到系统电源电路中,完成系统硬件的优化。采集5G通信链路实时数据,利用云边协同技术计算链路负载量,判断链路是否存在负载拥塞现象。根据负载状态检测结果,计算5G通信链路均衡负载控制量,在 MQTT协议约束下实现5G通信链路均衡负载控制。通过系统测试实验得出结论:与传统控制系统相比,在优化设计控制系统作用下,5G通信链路的负载抖动量降低了13.95%,有效降低通信时延并提高链路利用率,证明优化设计系统具有良好的控制功能和效果。

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    In 5G communication networks, there is a high link density and a large amount of transmitted data, which can easily lead to load imbalance and congestion. To improve the balance between links in 5G communication networks, a 5G communication link balance load control system based on cloud edge collaboration is designed. Modify the link data collector, processor, switch, and load controller, add cloud servers and edge servers, connect the optimized equipment to the system power circuit, and complete the optimization of the system hardware. Collect real-time data of 5G communication links, use cloud edge collaboration technology to calculate the link load and determine whether there is load congestion in the link. Based on the load status detection results, calculate the 5G communication link balanced load control amount, and achieve 5G communication link balanced load control under the MQTT protocol constraints. Through system testing experiments, it was concluded that compared with traditional control systems, under the optimized design of the control system, the load jitter of the 5G communication link was reduced by 13.95%, effectively reducing communication delay and improving link utilization, proving that the optimized design system has good control functions and effects.

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刘礼.基于云边协同的5G通信链路均衡负载控制系统设计计算机测量与控制[J].,2024,32(12):111-116.

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  • 收稿日期:2023-10-23
  • 最后修改日期:2023-11-24
  • 录用日期:2023-11-27
  • 在线发布日期: 2024-12-24
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