• DocumentCode
    985301
  • Title

    High SNR Analysis for MIMO Broadcast Channels: Dirty Paper Coding Versus Linear Precoding

  • Author

    Lee, Juyul ; Jindal, Nihar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN
  • Volume
    53
  • Issue
    12
  • fYear
    2007
  • Firstpage
    4787
  • Lastpage
    4792
  • Abstract
    In this correspondence, we compare the achievable throughput for the optimal strategy of dirty paper coding (DPC) to that achieved with suboptimal and lower complexity linear precoding techniques (zero-forcing and block diagonalization). Both strategies utilize all available spatial dimensions and therefore have the same multiplexing gain, but an absolute difference in terms of throughput does exist. The sum rate difference between the two strategies is analytically computed at asymptotically high SNR. Furthermore, the difference is not affected by asymmetric channel behavior when each user has a different average SNR. Weighted sum rate maximization is also considered. In the process, it is shown that allocating user powers in direct proportion to user weights asymptotically maximizes weighted sum rate.
  • Keywords
    MIMO communication; broadcast channels; channel coding; linear codes; DPC; MIMO broadcast channel; dirty paper coding; linear precoding; weighted sum rate maximization; Broadcasting; Channel capacity; Downlink; Fading; MIMO; Rayleigh channels; Receiving antennas; Statistical distributions; Throughput; Transmitters; Broadcast channels; channel capacity; multiple-input– multiple-output (MIMO) systems;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2007.909094
  • Filename
    4385774