• DocumentCode
    3443127
  • Title

    Iterative SINR-Max Cooperative Beamforming in Multiuser MIMO Systems

  • Author

    Xi, Songnan ; Zoltowski, Michael D.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
  • fYear
    2008
  • fDate
    28-30 April 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We have proposed the SINR-max cooperative beamforming design, which aims to maximize the signal-to-interference-noise ratio of each user by exploiting the advantage of the full multiuser channel state information available at the transmitters. The SINR-max cooperative beamformers are solutions to a set of complicated equations and thus have no closed-form expression. In our previous work, statistical modeling is applied to beamformers to ease the mathematical complication but the obtained beamformers are not the exact solutions to original equations. In this paper, we proposed two iterative algorithms to solve for the exact SINR-max beamformer. Furthermore, the efficiency of the SINR-max cooperative beamforming design can be improved by adopting the power iteration method.
  • Keywords
    MIMO communication; interference (signal); iterative methods; multiuser channels; radio transmitters; statistical analysis; MIMO system; SINR-max cooperative beamforming; channel state information; iterative algorithm; multiuser channel; multiuser system; power iteration; signal-to-interference-noise ratio; statistical modeling; transmitter; Array signal processing; Base stations; Design engineering; Equations; Iterative algorithms; MIMO; Multiuser channels; Receiving antennas; Signal design; Signal to noise ratio; MIMO; SINR maximization; beamforming; multiuser; uplink;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2008 IEEE
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-1843-5
  • Type

    conf

  • DOI
    10.1109/SARNOF.2008.4520090
  • Filename
    4520090