• DocumentCode
    2430054
  • Title

    Unified framework and MMSE transceiver designs for multiple-transmitter-multiple-receiver MIMO systems

  • Author

    Li, Jialing ; Lu, I-Tai ; Lu, Enoch

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New York Univ., Brooklyn, NY, USA
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    A unified framework is proposed for the minimum mean square error (MMSE) transceiver design of general multiple-transmitter-multiple-receiver (MTMR) multiple-input and multiple-output (MIMO) systems subject to general linear power constraints. Two novel approaches, the generalized iterative approach (GIA) and fast iterative approach (FIA), are proposed. The two proposed approaches, along with two convex optimization approaches, the transmit covariance optimization approach (TCOA) and decoder covariance optimization approach (DCOA), are included in the unified framework. The optimality of the approaches and the relationships between the approaches are shown.
  • Keywords
    MIMO communication; convex programming; covariance analysis; decoding; iterative methods; mean square error methods; transceivers; convex optimization approach; decoder covariance optimization approach; fast iterative approach; generalized iterative approach; linear power constraints; minimum mean square error transceiver design; multiple-input and multiple-output system; multiple-transmitter-multiple-receiver MIMO systems; transmit covariance optimization approach; Bit error rate; Constraint optimization; Covariance matrix; Downlink; Iterative decoding; Iterative methods; MIMO; Mean square error methods; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2010 IEEE
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-5592-8
  • Type

    conf

  • DOI
    10.1109/SARNOF.2010.5469798
  • Filename
    5469798