Beamforming optimization via max-min SINR in MU-MISO SWIPT systems under bounded channel uncertainty

Zhengyu Zhu, Zhongyong Wang, Zheng Chu, Di Zhang

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    Abstract

    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.

    Original languageEnglish
    Pages (from-to)2576-2580
    Number of pages5
    JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
    VolumeE99A
    Issue number12
    DOIs
    Publication statusPublished - 2016 Dec 1

    Keywords

    • Multiuser MISO
    • Robust optimization
    • SWIPT

    ASJC Scopus subject areas

    • Signal Processing
    • Computer Graphics and Computer-Aided Design
    • Electrical and Electronic Engineering
    • Applied Mathematics

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