Deep Reinforcement Learning for Caching in D2D-Enabled UAV-Relaying Networks

2021 IEEE/CIC International Conference on Communications in China (ICCC)(2021)

引用 1|浏览7
暂无评分
摘要
Unmanned aerial vehicle (UAV)-relaying can forward files for user devices, but also faces the challenge of the traffic blockage of wireless backhaul. In this paper, we propose a novel caching strategy to pre-cache some popular files at both UAV and user devices to reduce duplicate transmissions in device-to-device (D2D)-enabled UAV-relaying networks. Considering the quality of experience (QoE) of ...
更多
查看译文
关键词
Wireless communication,Heuristic algorithms,System performance,Simulation,Unmanned aerial vehicles,Delays,Complexity theory
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要