• DocumentCode
    2080130
  • Title

    On the capacity of MIMO broadcast channels with reduced feedback by antenna selection

  • Author

    Pugh, Matthew ; Rao, Bhaskar D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California, La Jolla, CA
  • fYear
    2008
  • fDate
    26-29 Oct. 2008
  • Firstpage
    728
  • Lastpage
    732
  • Abstract
    In this paper we analyze the performance of random beamforming schemes in a multi-user Gaussian broadcast channel utilizing SINR feedback. For generality, the receivers are allowed to have multiple receive antennas. The first scheme analyzed allows each receiver to feed back the largest SINR it observes for each transmit beam. The distribution function of the maximum SINR is derived and is noted to differ from previous work. In an effort to further reduce feedback, a scheme where each user feeds back the maximum SINR observed over its receive antennas and transmit beams. Using the Frechet bounds and properties of chi-squared random variables, the throughput of this system is bounded and empirically shown to approach the performance of the previous scheme as the number of users increases.
  • Keywords
    Gaussian channels; MIMO communication; broadcast channels; channel capacity; feedback; multiuser channels; Frechet bounds; MIMO broadcast channel; SINR feedback; antenna selection; channel capacity; chi-squared random variables; distribution function; multiple receive antennas; multiuser Gaussian broadcast channel; random beamforming schemes; reduced feedback; transmit beams; Antenna feeds; Array signal processing; Broadcasting; Distribution functions; Feedback; MIMO; Performance analysis; Random variables; Receiving antennas; Signal to noise ratio; LMMSE receivers; broadcast channel; multi-user MIMO; random beamforming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2008 42nd Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    978-1-4244-2940-0
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2008.5074504
  • Filename
    5074504