基于5G MEC技术的智慧校园网络低时延优化方法

Low delay optimization method of smart campus network based on 5G MEC Technology

5G网络移动边缘计算(Mobile Edge Computing, MEC)是将有具有计算和存储性能的MEC服务器设施在5G移动网络边缘,为用户设备提供低能耗、低时延的网络服务.在此基础上,为了优化智慧校园5G网络移动边缘计算低时延性能,提出基于5G MEC技术的智慧校园网络低时延优化方法.建立基于智慧校园网络的5G MEC系统模型,分析智慧校园网络的MEC-微蜂窝基站负载情况;针对所掌握的MEC-微蜂窝基站负载情况,通过基于移动边缘计算的任务卸载和资源优化方法,减少智慧校园网络的传输时延,优化智慧校园网络低时延传输性能.实验结果验证:所提方法应用后,MEC-微蜂窝基站的负载均衡度显著,可降低用户设备传输时延.

5G network mobile edge computing(MEC) is to provide low energy consumption and low latency network services for user equipment by placing MEC server facilities with computing and storage performance at the edge of 5G mobile network.On this basis, in order to optimize the low delay performance of mobile edge computing in smart campus 5G network, a low delay optimization method based on 5G MEC technology is proposed.The 5G MEC system model based on smart campus network is established, and the load of MEC micro cellular base station in smart campus network is analyzed.According to the load of MEC micro cellular base station, the task unloading and resource optimization method based on mobile edge computing is adopted to reduce the transmission delay of smart campus network and optimize the low delay transmission performance of smart campus network.Experimental results show that the load balance of MEC microcell base station is significant after the application of the proposed method, which can reduce the transmission delay of user equipment.