无线
能量收集
计算机科学
水准点(测量)
最大功率转移定理
软件部署
通信系统
能量(信号处理)
方案(数学)
资源配置
实时计算
电子工程
功率(物理)
电信
计算机网络
工程类
统计
操作系统
物理
数学分析
大地测量学
数学
地理
量子力学
作者
Haoran Peng,Lichun Wang,Geoffrey Ye Li,Ang-Hsun Tsai
标识
DOI:10.1109/wcnc51071.2022.9771999
摘要
Reconfigurable intelligent surface (RIS) is a promising technology for energy efficient wireless communications and has drawn significant attention recently. Combining unmanned aerial vehicle with RIS (UAV-RIS) can provide on-demand deployment services in dynamic scenarios. However, reaping the benefits of UAV-RIS will be limited by the energy of the battery-powered UAV. To enhance the endurance of UAV-RISs, we develop a novel energy harvesting scheme for simultaneous wireless information and power transfer (SWIPT), resource allocation, and energy harvest from impinging radio-frequency (RF) signals. Different from the exist works, the proposed scheme creatively splits the passive reflected arrays on geometric space for transporting information and harvesting energy simultaneously. Furthermore, a deep deterministic policy gradient (DDPG) scheme is designed to continuously allocate UAV-RIS’s resources on both the time and space domains to maximize the total harvested energy, while guaranteeing the communication quality for each user. As shown by our simulation results, the proposed UAV-RIS SWIPT system improves performance significantly over the benchmark.
科研通智能强力驱动
Strongly Powered by AbleSci AI