Research Article
Intelligent Reflecting Surface-Assisted Full-Duplex UAV-Based Mobile Relay Communication
@INPROCEEDINGS{10.1007/978-3-030-89814-4_16, author={Mengqiu Chai and Shengjie Zhao and Yuan Liu and Fuqiang Ding and Hai Sun and Runqing Jiang}, title={Intelligent Reflecting Surface-Assisted Full-Duplex UAV-Based Mobile Relay Communication}, proceedings={Mobile Multimedia Communications. 14th EAI International Conference, Mobimedia 2021, Virtual Event, July 23-25, 2021, Proceedings}, proceedings_a={MOBIMEDIA}, year={2021}, month={11}, keywords={Intelligent reflecting surface Full-duplex relay Phase control Trajectory optimization}, doi={10.1007/978-3-030-89814-4_16} }- Mengqiu Chai
Shengjie Zhao
Yuan Liu
Fuqiang Ding
Hai Sun
Runqing Jiang
Year: 2021
Intelligent Reflecting Surface-Assisted Full-Duplex UAV-Based Mobile Relay Communication
MOBIMEDIA
Springer
DOI: 10.1007/978-3-030-89814-4_16
Abstract
Intelligent reflecting surface (IRS), a promising technology, can intelligently reflect the signals and improve the propagation environment, which makes it further achieve spectrum efficiency for wireless systems in the future. In this paper, we investigate an IRS-assisted full-duplex (FD) unmanned aerial vehicle (UAV) relay system with a source node and a destination node. Due to the obstacles, the source node can not communicate with the UAV-based mobile relay. The IRS on the wall of a building can reflect the signals from the source node to the relay. We aim to maximize the average rate of the system by jointly optimizing the phase shifter of the IRS, the trajectory of the UAV, and the transmit power of the UAV-based relay. On account of the non-convexity of the formulated problem, we propose a novel algorithm based on iteration that divides the problem into three sub-problems by the block coordinate descent and applies the successive convex approximation (SCA) method for obtaining an approximate optimal solution. Simulation results demonstrate the efficiency of our algorithm.
