Minimizing the computation latency of FDMA‐based wireless powered edge computing network

Abstract The 0–1 mixed integer programming problem of binary offloading on wireless powered mobile edge computing (WP‐MEC) networks requires joint optimization and continuous variables, which is computationally expensive for traditional techniques difficult to solve within the channel coherence time under time‐varying condition. Using machine learning models output variable values also challenging. Hence, designing efficient low‐complexity algorithms crucial optimal network performance. This paper focuses computation latency FDMA‐based WP‐MEC proposes a task‐offloading algorithm minimize total completion delay (TCD). TCD minimization modelled as MIP decomposed into master optimizing decision sub‐problem other parameters given decision. solved using method, while deep reinforcement algorithm. Simulation results show that proposed can achieve almost minimal with low complexity.