• DocumentCode
    2208214
  • Title

    A modified precoding scheme for MIMO downlink channel with imperfect CSIT

  • Author

    Cao, Peng ; Kang, Guixia ; Zhang, Ningbo ; Zhang, Ping

  • Author_Institution
    Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2008
  • fDate
    19-21 Nov. 2008
  • Firstpage
    841
  • Lastpage
    845
  • Abstract
    In this paper, we consider the multiuser MIMO downlink channel with multiple antennas at both the base station and the users. We concentrate on the case where the transmitter has imperfect channel state information due to estimation error and feedback delay. A channel modification matrix and a scalar factor based on minimum mean square error criterion are derived to form an equivalent channel matrix which has a lower variance of error caused by imperfect estimation and feedback delay, and then used to design the precoding vectors based on maximizing the so-called signal-to-leakage-plus-noise-ratio. We present a scheme that combines co-channel interference suppression and channel modification in an appropriate way. Simulation results validate the presented scheme.
  • Keywords
    MIMO communication; cochannel interference; interference suppression; mean square error methods; multiuser channels; precoding; telecommunication channels; CSIT; MIMO downlink channel; channel modification matrix; channel state information; cochannel interference suppression; estimation error; feedback delay; mean square error criterion; precoding; Base stations; Channel state information; Delay estimation; Downlink; Estimation error; MIMO; Mean square error methods; Signal design; State feedback; Transmitters; MIMO; imperfect channel state information; minimum mean square error; multiuser; precoding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-2423-8
  • Electronic_ISBN
    978-1-4244-2424-5
  • Type

    conf

  • DOI
    10.1109/ICCS.2008.4737304
  • Filename
    4737304