• DocumentCode
    3015464
  • Title

    MMSE Transceiver design for coordinated base station systems: Distributive algorithm

  • Author

    Bogale, Tadilo Endeshaw ; Vandendorpe, Luc ; Chalise, Batu Krishna

  • Author_Institution
    Commun. & Remote Sensing Lab., Univ. Catholique de Louvain, Louvain La Neuve, Belgium
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    1222
  • Lastpage
    1226
  • Abstract
    This paper considers the joint transceiver design for multiple-input single-output (MISO) systems with coordinated base stations (BSs). We consider two problems; 1) minimizing the weighted sum of mean-square-error (MSE) with per BS antenna power constraint and 2) minimizing the total BS power with the target MSE and the per-antenna power constraints. To solve these problems, first, for fixed receivers, we propose a computationally efficient novel distributive algorithm to get the optimal BS precoders. The proposed algorithms use Lagrangian dual decomposition, modified matrix fractional minimization and an iterative method. Second, for fixed BS precoders, the receivers are updated by the minimum MSE (MMSE) criterion. These steps are repeated until convergence is achieved. All simulation results show that the solution of our proposed distributive algorithm fits to that of the centralized algorithm.
  • Keywords
    MIMO communication; antenna arrays; convergence of numerical methods; iterative methods; least mean squares methods; matrix algebra; precoding; radio transceivers; Lagrangian dual decomposition; MMSE transceiver design; base station antenna power constraint; centralized algorithm; convergence; coordinated base station systems; distributive algorithm; iterative method; mean-square-error; modified matrix fractional minimization; multiple-input single-output systems; optimal BS precoders; Algorithm design and analysis; Antennas; Convergence; Minimization; Optimization; Receivers; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-9722-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2010.5757725
  • Filename
    5757725