• DocumentCode
    2363109
  • Title

    A large-system analysis of the imperfect-CSIT Gaussian broadcast channel with a DPC-based transmission strategy

  • Author

    Vaze, Chinmay S. ; Varanasi, Mahesh K.

  • Author_Institution
    Dept. of Electr., Comput., & Energy Eng., Univ. of Colorado, Boulder, CO, USA
  • fYear
    2010
  • fDate
    17-19 March 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The Gaussian broadcast channel (GBC) with K transmit antennas and K single-antenna users is considered for the case in which the channel state information is obtained at the transmitter via a finite-rate feedback link of capacity r bits per user. The throughput (i.e., the sum-rate normalized by K) of the GBC is analyzed in the limit as K ¿ ¿ with r/K ¿ r¿. Considering the transmission strategy of zeroforcing dirty paper coding (ZFDPC), a closed-form expression for the asymptotic throughput is derived. It is observed that, even under the finite-rate feedback setting, ZFDPC achieves a significantly higher throughput than zeroforcing beamforming. Using the asymptotic throughput expression, the problem of obtaining the number of users to be selected in order to maximize the throughput is solved.
  • Keywords
    Gaussian channels; broadcast antennas; broadcast channels; encoding; radio transmitters; transmitting antennas; DPC-based transmission strategy; K single-antenna; K transmit antennas; ZFDPC; finite-rate feedback link; finite-rate feedback setting; imperfect-CSIT Gaussian broadcast channel; large-system analysis; transmitter; zeroforcing beamforming; zeroforcing dirty paper coding; Algorithm design and analysis; Antenna feeds; Array signal processing; Broadcasting; Channel state information; Closed-form solution; Feedback; Throughput; Transmitters; Transmitting antennas; broadcast channel; dirty paper coding; inflation factor; zeroforcing beamforming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2010 44th Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-7416-5
  • Electronic_ISBN
    978-1-4244-7417-2
  • Type

    conf

  • DOI
    10.1109/CISS.2010.5464740
  • Filename
    5464740