受限回程链路下无人机辅助MEC的空地能耗折中OA北大核心CSTPCD

Aiming at the contradiction between UAV energy consumption and ground user energy consumption in UAV assisted mobile edge computing(MEC)network,the air ground energy consumption tradeoff problem of UAV assisted MEC network under restricted backhaul link was studied.At the same time,considering that the energy consumption of UAV is usually several orders of magnitude different from that of ground user,an amplification factor was introduced to take account of ground user energy consumption.Our objective is to minimize the weighted total energy consumption by joint optimization of the task bit division,GU transmission power,GU offloading time,and UAV trajectory,and the trade-off between air and ground energy consumption can be represented.To solve the formulated highly non-convex problem,a two-stage alternating iterative optimization algorithm based on block coordinate descent algorithm and successive convex approximation technique was used to obtain a suboptimal solution.Simulation results show that the proposed scheme characterize the trade-off between aerial energy consumption and that of ground users under the premise of ensuring fairness,and outperforms other benchmark schemes in terms of reducing the total energy consumption.