• DocumentCode
    3066035
  • Title

    Statistical beamformer design for the two-antenna interference channel

  • Author

    Raghavan, Vasanthan ; Hanly, Stephen

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Melbourne, VIC, Australia
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    2278
  • Lastpage
    2282
  • Abstract
    The focus of this work is on the two user interference channel with two antennas at each transmitter and a single antenna at both users. We assume that both the transmitters use a linear beamforming scheme for signaling and the users treat interference as noise. The links are assumed to be spatially correlated and the focus is on understanding the structure of the beamforming vectors that maximize the average sum-rate as a function of the statistics of all the channels and the SNR level at both the transmitters. Building on recent work that studies Pareto optimality in a similar context, we show that (from the class of linear beamforming schemes) a rank-1 beamformer is always optimal when both the transmitters are of low-SNR. In general, the rank of the optimal beamforming matrix is a complicated function of the SNRs and channel statistics. Nevertheless, it is shown that the high-SNR optimal rank-1 beamformer is the generalized eigenvector of the two links as seen from each transmitter.
  • Keywords
    Pareto optimisation; antenna arrays; array signal processing; cochannel interference; radio transmitters; Pareto optimisation; beamforming vector; channel statistic; generalized eigenvector; high-SNR optimal rank-1 beamformer; linear beamforming scheme; optimal beamforming matrix; single antenna; statistical beamformer design; two antenna interference channel; Array signal processing; Context; Costs; Covariance matrix; Interference channels; Pareto analysis; Rayleigh channels; Statistics; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-7890-3
  • Electronic_ISBN
    978-1-4244-7891-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2010.5513551
  • Filename
    5513551