Robust beamforming based on transmit power analysis for multiuser multiple-input–single-output interference channels with energy harvesting

• Published in: IET communications Vol. 10; no. 10; pp. 1221 - 1228
• Main Authors: Zhu, Zhengyu, Wang, Zhongyong, Chu, Zheng, Gao, Xiangchuan, Zhang, Yanbin, Cui, Jianhua
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.07.2016
• Subjects: Approximation; approximation theory; array signal processing; average total transmit power minimisation; Beamforming; Channels; Constraint modelling; CSIT; Energy harvesting; energy harvesting constraints; imperfect channel‐state information‐at‐the‐transmitter; inductive power transmission; Interference; Lagrangian multiplier method; mathematical programming; multiuser multiple‐input‐single‐output interference channels; Optimization; Programming; radio transmitters; radiofrequency interference; receive power splitting design; relaxed semidefinite programming problem; robust transmit beamforming; signal‐to‐interference‐and‐noise ratio constraints; simultaneous wireless information‐and‐power transfer; SWIPT; transmit power analysis; wireless channels; approximation theory; energy harvesting constraints; CSIT; energy harvesting; mathematical programming; average total transmit power minimisation; transmit power analysis; radiofrequency interference; multiuser multiple-input-single-output interference channels; SWIPT; imperfect channel-state information-at-the-transmitter; simultaneous wireless information-and-power transfer; signal-to-interference-and-noise ratio constraints; relaxed semidefinite programming problem; radio transmitters; wireless channels; inductive power transmission; Lagrangian multiplier method; array signal processing; robust transmit beamforming; receive power splitting design
• ISSN: 1751-8628; 1751-8636
• DOI: 10.1049/iet-com.2015.0878

In this study, the authors study the robust transmit beamforming and receive power splitting design for simultaneous wireless information and power transfer in multiuser multiple-input–single-output interference channel with imperfect channel-state information at the transmitter. Following the worst-case model, they minimise the average total transmit power subject to a set of energy harvesting constraints and signal-to-interference-and-noise ratio constraints. On the basis of the Lagrangian multiplier method, they propose a robust design method based on tight bounds that is able to achieve an approximate optimum. To reduce the complexity, they transform this original problem into a relaxed semi-definite programming problem based on loose bounds, which can be solved efficiently. It is shown from simulation results that their proposed methods outperform the non-robust scheme.