基于边缘计算技术的5G网络状态感知系统设计与分析

Design and analysis of 5G network state awareness system based on MEC technology

5G网络在实现业态重塑和推进产业升级的同时,对网络状态的稳定性、可靠性提出了较高的要求,进而催生了对5G网络适时、精准的状态感知与故障预警需求。5G网络具有高速低延时、大规模接入的特性,但受网络中心及网络边缘接入设备计算及能量资源限制,无法实现及时反馈和精确预警。基于边缘计算技术能够弥补终端及网络中心算力不足并保持5G网络特性的优势,文中结合边缘计算技术设计一种探针式网络状态感知系统,给出其功能构架、网络部署及工作流程。系统采用类分布式部署方式,将探针植入采集对象,同时收集端到端网络状态特征数据及设备自身状态数据,经边缘服务器预处理再回传分析中心进行网络状态分析,实现对5G网络状态的全方位感知分析。结果表明,所设计系统可以支持多种应用场景,并在其中发挥积极增益的作用。

While reshaping the business format and promoting industrial upgrading,5G networks have put forward very high requirements for the stability and reliability of network status,which has led to the demand for timely and accurate state perception and fault warning of 5G networks.5G networks have the characteristics of high speed,low latency and large-scale access,but its timely feedback and accurate warning cannot be achieved due to the limitations of computing and energy resources of network center and edge access devices.Based on the fact that edge computing technology can make up for the lack of computing power of terminals and network centers and maintain the advantages of 5G network characteristics,a probe network state awareness system is designed combining edge computing technology,and its functional architecture,network deployment and workflow are given.In the system,a class distributed deployment method is adopted,where probes are implanted into the collection object to collect end-to-end network state feature data and device self state data.After being preprocessed by the edge server,it is returned to the analysis center for network state analysis,achieving comprehensive perception and analysis of 5G network state.The results show that the designed sysytem can support multiple application scenarios and play a positive gain role in them.