• DocumentCode
    84264
  • Title

    A Fast Low Complexity Method for Optimal Zero-Forcing Beamformer MU-MIMO System

  • Author

    Dam, Hai Huyen ; Cantoni, Antonio ; Bin Li

  • Author_Institution
    Dept. of Math. & Stat., Curtin Univ., Perth, WA, Australia
  • Volume
    22
  • Issue
    9
  • fYear
    2015
  • fDate
    Sept. 2015
  • Firstpage
    1443
  • Lastpage
    1447
  • Abstract
    This letter proposes a new algorithm for solving the optimal zero-forcing beamforming problem that maximizes the user achievable rate with restriction on the per-antenna element power constraints. An accelerated gradient method with step size search is proposed for solving the problem. For each iteration of the gradient approach, a quick one dimensional search is employed to obtain the step size. The advantage of the step-size search is that it is relatively fast and requires only a few calculations of the objective function. Design examples show that the proposed algorithm converges faster than the gradient approach and the accelerated gradient approach with a constant step size while achieving a low computational complexity.
  • Keywords
    MIMO communication; array signal processing; computational complexity; gradient methods; multiuser channels; MU-MIMO system; accelerated gradient method; computational complexity; fast low complexity method; gradient approach iteration; multiuser multiple input multiple output systems; one dimensional search; optimal zero-forcing beamforming problem; per-antenna element power constraints; user achievable rate; Acceleration; Array signal processing; Complexity theory; Convergence; Gradient methods; Signal processing algorithms; Vectors; Accelerated gradient method; MU-MIMO; beamformer; optimal step size; optimum zero-forcing; per-antenna power constraints;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2015.2407903
  • Filename
    7052331