Abstract: Mobile edge computing(MEC) plays an important role in wireless subscriber services and significantly improves the efficiency of computing services.However,with the rapid growth of the number of terrestrial users,it becomes increasingly difficult for wireless devices to directly access MEC nodes.To address this challenge,this paper proposes an innovative communication system model that utilizes self-charging unmanned aerial vehicles(UAVs) to collaborate with terrestrial base stations,including MEC nodes and energy transmitting station LSs,aiming to enhance the performance of terrestrial wireless communication systems.The cooperative working mechanism between UAV-MEC system,energy launching station(LS),IoT devices,and edge cloud(EC) is deeply explored.The power consumption of the UAV,the charging process of the LS to the UAV,and the conversion loss of the RF-DC signals are considered comprehensively,aiming to maximize the residual energy of the UAV after completing its mission while ensure its continuous and stable operation.Secondly,the UAV's hovering position,the allocation of communication and computational resources,and the decision of task segmentation are jointly optimized with the aim of minimizing the UAV's energy consumption while ensuring the optimization of the overall performance of the wireless communication system.Since the problem is highly nonconvex,an efficient algorithm based on successive convex approximation is proposed to obtain a suboptimal solution.Extensive simulation experiments verify that the proposed scheme significantly outperforms the baseline schemes in practical applications.

Key words: Unmanned aerial vehicle, Mobile edge computing, Wireless power transmission, Computation offloading energy consumption, Resource allocation