• DocumentCode
    2033617
  • Title

    Precoding for MIMO-broadcast channels with joint linear transmitter and receiver design

  • Author

    Wang, Wei ; Zhang, Zhan ; Kayama, Hidetoshi

  • Author_Institution
    DOCOMO Beijing Commun. Labs. Co. Ltd., Beijing, China
  • fYear
    2008
  • fDate
    21-24 Oct. 2008
  • Firstpage
    424
  • Lastpage
    427
  • Abstract
    The transmitter side precoding shows excellent performance for multiuser multiple input multiple output (MIMO) wireless systems. However, joint transmitter and receiver design might achieve further improvement. The optimum precoding and decoding matrices can be solved iteratively. In this paper, we propose a modified joint iterative algorithm, based on minimum mean square error (MMSE) criterion in both transmitter and receiver sides. The proposed method makes better use of the channel information and has faster convergence speed than existing methods. Moreover, it uses a regularization factor to replace the Lagrange multiplier used in existing methods, which makes the calculation procedure simpler. Simulations demonstrate the advantages of the proposed algorithm.
  • Keywords
    MIMO communication; channel coding; convergence of numerical methods; iterative decoding; least mean squares methods; precoding; wireless channels; Lagrange multiplier; MIMO-broadcast channels; MMSE; channel information; convergence; decoding matrices; iterative methods; joint linear transmitter-receiver design; minimum mean square error criterion; precoding; Broadcasting; Convergence; Interference; Iterative algorithms; Lagrangian functions; MIMO; Mean square error methods; Receiving antennas; Signal to noise ratio; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communication Systems. 2008. ISWCS '08. IEEE International Symposium on
  • Conference_Location
    Reykjavik
  • Print_ISBN
    978-1-4244-2488-7
  • Electronic_ISBN
    978-1-4244-2489-4
  • Type

    conf

  • DOI
    10.1109/ISWCS.2008.4726091
  • Filename
    4726091