9th International Conference on Communications and Networking in China

Research Article

Optimal Precoding for Simultaneous Information and Power Transfer in MIMO Relay Networks

  • @INPROCEEDINGS{10.4108/icst.chinacom.2014.256255,
        author={Bing Fang and Wei Zhong and Zuping Ping and Shi Jin and Jiaheng Wang and Wei Shao},
        title={Optimal Precoding for Simultaneous  Information and Power Transfer in MIMO Relay Networks},
        proceedings={9th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={1},
        keywords={mimo relay energy harvesting wireless power transfer convex optimization},
        doi={10.4108/icst.chinacom.2014.256255}
    }
    
  • Bing Fang
    Wei Zhong
    Zuping Ping
    Shi Jin
    Jiaheng Wang
    Wei Shao
    Year: 2015
    Optimal Precoding for Simultaneous Information and Power Transfer in MIMO Relay Networks
    CHINACOM
    IEEE
    DOI: 10.4108/icst.chinacom.2014.256255
Bing Fang1,*, Wei Zhong1, Zuping Ping1, Shi Jin2, Jiaheng Wang2, Wei Shao1
  • 1: PLA University of Science and Technology
  • 2: Southeast University
*Contact email: bingfang_ch@163.com

Abstract

In this paper, we focus on the problem of optimal precoding for simultaneous wireless information and power transfer (SWIPT) in a two-hop decode-and-forward (DF) multiple-input multiple-output (MIMO) relay network, which consists of a source, a relay station, an information decoding (ID) receiver and an energy harvesting (EH) receiver. Each node in this relay network is assumed to employ multiple antennas. In order to better character the optimal tradeoff between simultaneous information and power transfer in MIMO relay networks, a 3D rate-energy (R-E) region is first defined. In addition, an algorithm based on convex programming is proposed to effectively compute the R-E region. Finally, numerical simulations are provided to evaluate the proposed algorithm. It is found that the optimal tradeoff between the maximum information and power transfer locates on the contour of the 3D region's boundary.