Open AccessRobust beamforming based on transmit power analysis for multiuser multiple‐input–single‐output interference channels with energy harvesting
Author(s) -
Zhu Zhengyu,
Wang Zhongyong,
Chu Zheng,
Gao Xiangchuan,
Zhang Yanbin,
Cui Jianhua
Publication year - 2016
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2015.0878
Subject(s) - beamforming , transmitter power output , computer science , transmitter , precoding , robustness (evolution) , channel state information , channel (broadcasting) , mathematical optimization , interference (communication) , control theory (sociology) , wireless , mathematics , telecommunications , mimo , biochemistry , chemistry , control (management) , artificial intelligence , gene
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.