Research on Performance of Multi-user MEC System with IRS-assisted Energy Supply
In the internet of things(IoT)scenario,the edge server can effectively alleviate the problem of limited computing power of IoT devices,and how to ensure the energy supply of IoT devices has become one of the research hotspots.The combination of wireless energy transmission(WPT)and mobile edge computing(MEC)is a solution,but there is no guarantee that there is always a direct link between hybrid access point(HAP)and IoT devices.In order to deal with this problem,the intelligent reflective surface(IRS)is considered to assist wireless energy transmission and task unloading.In the multi-user MEC system,when the IoT device adopts binary unloading,it is a mixed integer non-convex problem to combine energy transmission time optimization,unloading decision and scheduling order to obtain the minimum system processing delay.Considering the channel difference between HAP and IoT devices,a two-layer iterative algorithm is used,and the computing power of MEC is used to minimize the processing delay of the system.The experimental results show that this method converges quickly,can effectively reduce the system processing delay,and can obviously improve the system performance with the help of IRS.
IRSwireless energy transmissionmulti-user MEC systembinary offload