期刊
IEEE COMMUNICATIONS LETTERS
卷 24, 期 12, 页码 2849-2853出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LCOMM.2020.3014201
关键词
Array signal processing; Linear programming; Optimization; Silicon; Convergence; Closed-form solutions; Computational complexity; Intelligent reflecting surface (IRS); full-duplex (FD) communication; transmit beamforming; reflect beamforming; sum rate maximization
资金
- National Natural Science Foundation of China [61871108, 61871109]
- Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars [BK20190012]
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.
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