A UAV-aided moving edge calculation(MEC)system was proposed.One UAV equipped with computing resources was used as a flight base station(BS)to handle the application tasks migra-ted from users,so as to save energy consumption of user equipment.A general Ruisen fading channel model was considered.By jointly optimizing UAV trajectory,user transmit power,user scheduling and bit allocation,the average energy consumption of all user equipments was minimized.A continu-ous upper bound minimization algorithm based on iterative block was designed,and a quadratic penal-ty term was introduced to solve it alternately.The results show that the joint optimization scheme proposed in this paper is superior to other benchmark schemes and can significantly reduce the energy consumption of users.
关键词
移动边缘计算/无人机/能量消耗/计算卸载/轨迹优化
Key words
mobile edge computing/UAV/energy consumption/computing offloading/trajectory op-timization
维普
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