• DocumentCode
    2944070
  • Title

    Reduced-complexity transmit power optimization techniques for multiuser MIMO with per-antenna power constraint

  • Author

    Ohwatari, Yusuke ; Benjebbour, Anass ; Hagiwara, Junichiro ; Ohya, Tomoyuki

  • Author_Institution
    Res. Labs., NTT DoCoMo, Inc., Yokosuka
  • fYear
    2008
  • fDate
    23-26 Sept. 2008
  • Firstpage
    34
  • Lastpage
    38
  • Abstract
    For a multiuser (MU)-MIMO precoded transmission with individual constraints on the maximum power of each transmit antenna, the transmit power optimization problem is a non-linear convex optimization problem with a high level of computational complexity. In this paper, we propose three methods in order to reduce the computational complexity associated with this problem. The reductions in computational complexity achieved with the proposed methods are evaluated under the sum-rate maximization criterion assuming i.i.d Rayleigh fading MIMO channels and block diagonalization zero-forcing as a precoder.
  • Keywords
    MIMO communication; communication complexity; multiuser channels; optimisation; receiving antennas; Rayleigh fading MIMO channels; block diagonalization zero-forcing; computational complexity; multiuser MIMO precoded transmission; nonlinear convex optimization problem; per-antenna power constraint; reduced-complexity transmit power optimization techniques; sum-rate maximization criterion; transmit antenna; AWGN; Base stations; Computational complexity; Constraint optimization; Convergence; Covariance matrix; MIMO; Receiving antennas; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing, 2008 46th Annual Allerton Conference on
  • Conference_Location
    Urbana-Champaign, IL
  • Print_ISBN
    978-1-4244-2925-7
  • Electronic_ISBN
    978-1-4244-2926-4
  • Type

    conf

  • DOI
    10.1109/ALLERTON.2008.4797532
  • Filename
    4797532