• DocumentCode
    3121784
  • Title

    On the net DoF comparison between ZF and MAT over time-varying MISO broadcast channels

  • Author

    Kobayashi, Mari ; Caire, Giuseppe

  • Author_Institution
    SUPELEC, Gif-sur-Yvette, France
  • fYear
    2012
  • fDate
    1-6 July 2012
  • Firstpage
    2286
  • Lastpage
    2290
  • Abstract
    We compare two classes of linear precoding strategies, zero-forcing (ZF) beamforming and the “MAT” scheme recently proposed by Maddah-Ali and Tse, over time-varying MISO broadcast channels. For a temporally correlated fading process with band-limited Doppler spectrum in [-F, F], with 0 ≤ F <; 1/2, it has been shown that ZF achieves a fraction 1-2F of the optimal degrees of freedom (DoF). On the other hand, MAT exploits delayed channel state information at transmitter (CSIT) and guarantees a constant DoF irrespectively of the fading Doppler bandwidth. In this work, we compare the net DoFs of both schemes by accounting for the correlation between fading blocks and for the resource required for downlink channel estimation. It is found that the downlink training for each receiver to learn the CSI of the others might be detrimental for the performance of MAT especially when the system size (number of users and transmit antennas) is not much smaller than the channel block length.
  • Keywords
    MIMO communication; antenna arrays; array signal processing; broadcast channels; channel coding; channel estimation; fading channels; linear codes; precoding; time-varying channels; transmitting antennas; CSIT; DoF; MAT scheme; Maddah-Ali and Tse strategy; ZF beamforming; band-limited Doppler spectrum; channel block length; delayed channel state information at transmitter; downlink channel estimation; fading Doppler bandwidth; linear precoding strategy; optimal degrees of freedom; receiver; temporally correlated fading process; time-varying MISO broadcast channels; transmit antennas; zero-forcing beamforming; Channel estimation; Doppler effect; Downlink; Receivers; Training; Transmitters; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4673-2580-6
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2012.6283919
  • Filename
    6283919