10th EAI International Conference on Communications and Networking in China

Research Article

Robust beamforming for multiuser MISO interference channel with energy harvesting constraint

  • @INPROCEEDINGS{10.4108/eai.15-8-2015.2260699,
        author={Zhengyu Zhu and Yuanyuan Zhang and Zhongyong Wang and Yanbin Zhang and Xiangchuan Gao and Zheng Chu},
        title={Robust beamforming for multiuser MISO interference channel with energy harvesting constraint},
        proceedings={10th EAI International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={9},
        keywords={simultaneous wireless information and power transfer (swipt) miso-ifc robust beamforming power splitting energy harvesting (eh)},
        doi={10.4108/eai.15-8-2015.2260699}
    }
    
  • Zhengyu Zhu
    Yuanyuan Zhang
    Zhongyong Wang
    Yanbin Zhang
    Xiangchuan Gao
    Zheng Chu
    Year: 2015
    Robust beamforming for multiuser MISO interference channel with energy harvesting constraint
    CHINACOM
    IEEE
    DOI: 10.4108/eai.15-8-2015.2260699
Zhengyu Zhu1,*, Yuanyuan Zhang1, Zhongyong Wang1, Yanbin Zhang1, Xiangchuan Gao1, Zheng Chu2
  • 1: Zhengzhou University
  • 2: Newcastle University
*Contact email: zhuzhengyu6@gmail.com

Abstract

In this paper, we 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. We consider two types of receivers, namely Type I and Type II receivers according to the ability of eliminating the interference from received signals. Following the worst-case model, we minimize the average total transmit power subject to a set of energy harvesting constraint and SINR constraint for Type I receiver or SNR constraint for Type II receiver, respectively. Based on the Lagrangian multiplier method, we propose a lower and upper bounds algorithm that is able to achieve a global optimum for Type I receiver. For Type II receiver, we transform this problem into a relaxed semidefinite programming problem, which can be solved efficiently. It is shown from simulation results that our proposed method outperform the non-robust scheme.