基于强化学习的无人机辅助移动边缘计算任务卸载综述OA

With the rapid development of low-altitude economy,as an aerial mobile platform,the potential of Unmanned Aerial Ve-hicle(UAV)in the fields of communication,perception,and computing has been continuously tapped.Traditional Mobile Edge Compu-ting(MEC)systems rely on fixed-location edge servers,which are difficult to cope with dynamic environments and large-scale computing resource scheduling requirements.UAVs as mobile edge servers offer a new technical approach to address this limitation.In recent years,reinforcement learning has made significant progress in many fields and has shown great potential in UAV-assisted MEC task off-loading.Therefore,the UAV-assisted MEC task offloading based on reinforcement learning is reviewed.It introduces the concept and ad-vantages of UAV-assisted MEC task offloading,discusses the key factors considered in task offloading design,and examines the limita-tions of traditional methods as well as the strengths of reinforcement learning-based approaches.Furthermore,this paper systematically reviews and summarizes existing research,highlighting open challenges and future research directions.