Binary Computing Offloading Scheme Based on Wireless Power Supply and Node Cooperation
Mobile edge computing under wireless power supply is focused on,where computing nodes can independently perform computing tasks or unload them to idle nodes or edge computing server to maximize the sum computing rate(SCR)of nodes.Firstly,the SCR maximi-zation problem is modeled as a non-convex problem,taking into account the constraints such as energy causality and task causality.Next,a solution based on deep reinforcement learning is proposed,which uses deep neural networks to output approximately optimal binary off-loading decisions.Finally,an efficient algorithm is designed to solve the subproblem under a given offloading decision.This scheme has the ability of online learning,fast convergence,and low computational complexity,achieving the approximate maximum SCR.
mobile edge computingwireless power supplynode cooperationbinary offloading
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