Offline-Online Design for Energy-Efficient IRS-Aided UAV Communications

被引：10

作者：

Wang, Tianhao ^{[1
]}

Pang, Xiaowei ^{[1
]}

Liu, Mingqian ^{[2
]}

Zhao, Nan ^{[1
]}

Nallanathan, Arumugam ^{[3
]}

Wang, Xianbin ^{[4
]}

机构：

[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China

[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China

[3] Queen Mary Univ London, London E1 4NS, England

[4] Western Univ, Dept Elect & Comp Engn, London, ON N6A 3K7, Canada

来源：

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY | 2024年 / 73卷 / 02期

关键词：

Autonomous aerial vehicles; Trajectory; Uplink; Optimization; Bit error rate; Wireless communication; Rician channels; Intelligent reflecting surface (IRS); offline-online design; statistical and instantaneous channel state information (CSI); unmanned aerial vehicle (UAV);

D O I：

10.1109/TVT.2023.3319506

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this correspondence, we consider the intelligent reflecting surface (IRS) assisted unmanned aerial vehicle (UAV) uplink transmission, where a UAV collects data from ground users via an IRS. The objective is to maximize the energy efficiency (EE) by jointly optimizing the UAV trajectory, user scheduling and IRS phase shifts. Unlike existing offline designs, we propose a hybrid offline-online scheme to further improve the performance with both the statistical and instantaneous channel state information (CSI). Specifically, the UAV trajectory and user scheduling are optimized based on the statistical CSI in the offline phase, followed by the online phase in which the phase shifts are readjusted based on the instantaneous CSI. Simulation results show the EE gain of the offline-online design over benchmarks.

引用

页码：2942 / 2947

页数：6

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