• DocumentCode
    2694197
  • Title

    A Near-Optimum Technique using Linear Precoding for the MIMO Broadcast Channel

  • Author

    Boccardi, Federico ; Huang, Heng

  • Volume
    3
  • fYear
    2007
  • fDate
    15-20 April 2007
  • Abstract
    We consider the MIMO broadcast channel (MIMO-BC) where an array equipped with M antennas transmits distinct information to K users, each equipped with N antennas. We propose a linear precoding technique, called multiuser eigenmode transmission (MET), based on the block diagonalization precoding technique. MET addresses the shortcomings of previous ZF-based beamformers by transmitting to each user on one or more eigenmodes chosen using a greedy algorithm. We consider both the typical sum-power constraint (SPC), and a per-antenna power constraint (PAPC) motivated by array architectures where antennas are powered by separate amplifiers and are either co-located or spatially separated. Numerical results show that the proposed MET technique outperforms previous linear techniques with both SPC and PAPC. Asymptotically as the number of user K increases without bound, we show that block diagonalization with receive antenna selection under PAPC and SPC are asymptotically optimal.
  • Keywords
    MIMO communication; antenna arrays; broadcast channels; greedy algorithms; precoding; wireless channels; MIMO broadcast channel; ZF-based beamformers; antenna array; block diagonalization precoding technique; greedy algorithm; linear precoding; multiuser eigenmode transmission; near-optimum technique; per-antenna power constraint; sum-power constraint; Array signal processing; Broadcasting; Greedy algorithms; Linear antenna arrays; MIMO; Power amplifiers; Proposals; Receiving antennas; Transmitters; Transmitting antennas; Array signal processing; MIMO systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • ISSN
    1520-6149
  • Print_ISBN
    1-4244-0727-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.2007.366461
  • Filename
    4217635