摘要
Benefited from wireless power transfer(WPT)and mobile-edge computing(MEC),wireless powered MEC systems have attracted widespread attention.Specifically,we design an online offloading scheme based on deep reinforcement learning that maximizes the computation rate and minimizes the energy consumption of all wireless devices(WDs).Extensive results validate that the proposed scheme can achieve better tradeoff between energy consumption and computation delay.
作者
王中林
曹涵凯
赵萍
饶为
WANG Zhonglin;CAO Hankai;ZHAO Ping;RAO Wei(College of Finance and Information, Ningbo University of Finance and Economics, Ningbo 315000, China;College of Information Science and Technology, Donghua University, Shanghai 201620, China;Tencent Media Lab, Shenzhen 518000, China)
基金
National Natural Science Foundation of China(No.61902060)
Fundamental Research Fund for the Central Universities,China(No.2232019D3-51)
Shanghai Sailing Program,China(No.19YF1402100).
