Beamforming Optimization via Max-Min SINR in MU-MISO SWIPT Systems under Bounded Channel Uncertainty

Zhengyu ZHU  Zhongyong WANG  Zheng CHU  Di ZHANG  

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E99-A   No.12   pp.2576-2580
Publication Date: 2016/12/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E99.A.2576
Type of Manuscript: LETTER
Category: Digital Signal Processing
Keyword: 
SWIPT,  multiuser MISO,  robust optimization,  

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Summary: 
In this letter, we consider robust beamforming optimization for a multiuser multiple-input single-output system with simultaneous wireless information and power transmission (SWIPT) for the case of imperfect channel state information. Adopting the ellipsoidal uncertainty on channel vector, the robust beamforming design are reformulated as convex semi-definite programming (SDP) by rank-one relaxation. To reduce the complexity, an ellipsoidal uncertainty on channel covariance is studied to derive the equivalent form of original problem. Simulation results are provided to demonstrate the effectiveness of the proposed schemes.