Paper Info
Title
Beamformig Design With Fast Convergence for IRS-Aided Full-Duplex Communication
Abstract
We study the beamforming optimization for an intelligent reflecting surface (IRS)-aided full-duplex (FD) communication system in this letter. Specifically, we maximize the sum rate of bi-directional transmissions by jointly optimizing the transmit beamforming and the beamforming of the IRS reflection. A fast converging alternating algorithm is developed to tackle this problem. In each iteration of the proposed algorithm, the solutions to the transmit beamforming and the IRS reflect beamforming are obtained in a semi-closed form and a closed form, respectively. Compared to an existing method based on the Arimoto-Blahut algorithm, the proposed method achieves almost the same performance while enjoying much faster convergence and lower computational complexity.
Year
DOI
Venue
2020
10.1109/LCOMM.2020.3014201
IEEE Communications Letters
Keywords
DocType
Volume
Intelligent reflecting surface (IRS),full-duplex (FD) communication,transmit beamforming,reflect beamforming,sum rate maximization
Journal
24
Issue
ISSN
Citations 
12
1089-7798
10
PageRank 
References 
Authors
0.51
0
4
Name
Order
Citations
PageRank
H. Shen17711.29
Tian Ding2100.51
Wei Xu385463.23
Chunming Zhao467164.30