• DocumentCode
    181777
  • Title

    Transceiver optimization for MIMO multi-relay systems using projected gradient approach

  • Author

    Toding, A. ; Khandaker, M.R.A. ; Yue Rong

  • Author_Institution
    Dept. Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia
  • fYear
    2014
  • fDate
    26-29 Oct. 2014
  • Firstpage
    635
  • Lastpage
    639
  • Abstract
    In this paper, we develop the optimal source precoding matrix and relay amplifying matrices for non-regenerative multiple-input multiple-output (MIMO) relay communication systems with parallel relay nodes using the projected gradient (PG) approach. We show that the optimal relay amplifying matrices have a beamforming structure. Exploiting the structure of relay matrices, an iterative joint source and relay matrices optimization algorithm is developed to minimize the meansquared error (MSE) of the signal waveform estimation at the destination using the PG approach. The performance of the proposed algorithm is demonstrated through numerical simulations.
  • Keywords
    MIMO communication; MIMO systems; gradient methods; matrix algebra; signal processing; transceivers; MIMO multirelay systems; MIMO relay communication systems; MSE; beamforming structure; iterative joint source; mean squared error; nonregenerative multiple input multiple output; numerical simulations; optimal relay amplifying matrices; optimal source precoding matrix; parallel relay nodes; projected gradient; relay matrices optimization algorithm; signal waveform estimation; transceiver optimization; Algorithm design and analysis; Covariance matrices; Joints; MIMO; Optimization; Relays; Vectors; MIMO relay; beamforming; non-regenerative relay; parallel relay network; projected gradient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and its Applications (ISITA), 2014 International Symposium on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • Filename
    6979921