无线电通信技术2026，Vol.52Issue(2)：239-258,20.DOI:10.3969/j.issn.1003-3114.2026.02.002
基于强化学习的无人机辅助移动边缘计算任务卸载综述
A Survey on Reinforcement Learning-based Task Offloading for UAV-assisted Mobile Edge Computing
摘要
Abstract
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.关键词
无人机/强化学习/移动边缘计算/任务卸载Key words
UAV/reinforcement learning/MEC/task offloading分类
信息技术与安全科学引用本文复制引用
姜来为,李元春,杜雪琪,那振宇..基于强化学习的无人机辅助移动边缘计算任务卸载综述[J].无线电通信技术,2026,52(2):239-258,20.基金项目
国家自然科学基金重点项目(U2433205,U2033210) （U2433205,U2033210）
中央高校基本科研业务费项目(3122018C022) （3122018C022）
研究生科研创新项目(2024YJSKC05002) National Natural Science Foundation of China(Key Program)(U2433205,U2033210) （2024YJSKC05002）
Fundamental Research Funds for the Central Universities(3122018C022) （3122018C022）
Postgraduate Research and Innovation Project(2024YJSKC05002) （2024YJSKC05002）
