• DocumentCode
    967346
  • Title

    Low-Complexity Iterative Algorithm for Finding the MIMO-OFDM Broadcast Channel Sum Capacity

  • Author

    Codreanu, Marian ; Juntti, Markku ; Latva-aho, Matti

  • Author_Institution
    Centre for Wireless Commun., Univ. of Oulu
  • Volume
    55
  • Issue
    1
  • fYear
    2007
  • Firstpage
    48
  • Lastpage
    53
  • Abstract
    A novel low-complexity and provably convergent algorithm is proposed to find the sum capacity for vector Gaussian broadcast channels. Unlike the recently proposed sum-power constraint iterative waterfilling (SPC-IWF) algorithms, it has lower complexity and requires no additional precautions to ensure the convergence. We have proved analytically the convergence with probability one, and the computer simulations show that the proposed algorithm converges faster than the earlier variants of SPC-IWF algorithms. We formulate the problem in the context of a multiple-input multiple-output orthogonal frequency-division multiplexing system and discuss the simplifications provided by the block-diagonal channel structure
  • Keywords
    Gaussian channels; MIMO communication; OFDM modulation; broadcast channels; channel capacity; iterative methods; MIMO-OFDM broadcast channel sum capacity; block-diagonal channel structure; low-complexity iterative algorithm; multiple-input multiple-output system; orthogonal frequency-division multiplexing system; provably convergent algorithm; sum-power constraint iterative waterfilling algorithms; vector Gaussian broadcast channels; Broadcasting; Channel capacity; Computer simulation; Convergence; Covariance matrix; Downlink; Frequency division multiplexing; Iterative algorithms; MIMO; OFDM; Broadcast channels; iterative waterfilling (IWF); multiple-input multiple-output (MIMO) systems; orthogonal frequency-division multiplexing (OFDM);
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2006.887486
  • Filename
    4063495