• DocumentCode
    2092396
  • Title

    An efficient beamforming scheme for generalized MIMO two-way X relay channels

  • Author

    Kangqi Liu ; Zhengzheng Xiang ; Meixia Tao ; Xiaodong Wang

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    5306
  • Lastpage
    5310
  • Abstract
    Recently, a multiple-input multiple-output (MIMO) two-way X relay channel, where two groups of source nodes each having 2 nodes exchange independent messages via a common relay node, was studied in [1]. In this paper, we extend it to the generalized MIMO two-way X relay channel, where m ≥ 2 and n ≥ 2 source nodes are contained in two groups, respectively. Based on signal space alignment, a new beamforming scheme is proposed to maximize the minimum effective signal to interference plus noise ratios (SINRs) among all data streams. The beamforming vectors are designed by an iterative algorithm in which a closed-form solution is obtained in each step. Moreover, we show that the power allocation problem given the shape of the beamformers can be transformed as a linear programming problem. Simulation results show that the proposed beamforming scheme can achieve significantly better error performance than random beamforming schemes subject to signal space alignment only.
  • Keywords
    MIMO communication; array signal processing; interference (signal); iterative methods; linear programming; relay networks (telecommunication); SINR; beamforming scheme; beamforming vector; generalized MIMO two-way X relay channel; iterative algorithm; linear programming; multiple-input multiple-output channel; power allocation problem; signal space alignment; signal-to-interference plus noise ratio; Array signal processing; Bit error rate; MIMO; Optimization; Relays; Resource management; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655430
  • Filename
    6655430