• DocumentCode
    62909
  • Title

    Joint linear processing design for distributed two-way Amplify-and-Forward MIMO relaying networks

  • Author

    Fei Zesong ; Luo Chen ; Xing Chengwen ; Kuang Jingming

  • Author_Institution
    Res. Centre of Digital Commun. Technol. (RCDCT), Beijing Inst. of Technol., Beijing, China
  • Volume
    10
  • Issue
    7
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    126
  • Lastpage
    133
  • Abstract
    Linear transceiver designs are investigated for distributed two-way relaying networks, which aim at minimising the Weighted Mean Square Error (WMSE) of data detections. The forwarding matrices at relays and equalization matrices at destinations are jointly optimised. To overcome the challenging limitations introduced by individual power constraints, a Semi-Definite Relaxation (SDR) called element-wise relaxation is proposed, which can transform the original optimization problem into a standard convex optimization problem. In this research, two-way relaying is understood from a pure signal processing perspective which can potentially simplify the theoretical analysis. Finally, simulation results are used for assessing the performance advantage of the proposed algorithm.
  • Keywords
    MIMO communication; convex programming; matrix algebra; mean square error methods; radio transceivers; relay networks (telecommunication); signal processing; SDR; WMSE; data detections; distributed two-way amplify-and-forward MIMO relaying networks; element wise relaxation; equalization matrices; forwarding matrices; joint linear processing design; linear transceiver designs; power constraints; semi definite relaxation; signal processing perspective; standard convex optimization problem; weighted mean square error; Estimation; MIMO; Network coding; Optimization; Relays; Signal processing; MIMO; network coding; two-way relaying;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2013.6571296
  • Filename
    6571296