• DocumentCode
    2630354
  • Title

    Tomlinson-Harashima Precoding for Multiuser MIMO Downlink with Imperfect Channel State Information

  • Author

    Du Juan ; Shouliang, Li

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
  • Volume
    3
  • fYear
    2011
  • fDate
    6-7 Jan. 2011
  • Firstpage
    1027
  • Lastpage
    1030
  • Abstract
    Most contributions on nonlinear Tomlinson-Harashima precoding (THP) assume complete channel state information (CSI) at the transmitter. However, complete CSI is not available in many wireless systems, and the conventional THP is sensitive to channel mismatch. This article investigates the THP design with imperfect CSI at base station (BS) in spatially correlated multiuser multiple-input multiple-output (MIMO) downlink. By exploiting Bayes´ theorem and the channel statistics, a robust minimum mean-square error (MMSE) THP is proposed, which can effectively decrease the unfavorable influence caused by spatial correlation and channel estimation errors. Simulation results are used to show the performance advantage attained by the proposed THP.
  • Keywords
    Bayes methods; MIMO communication; channel estimation; least mean squares methods; precoding; BS; Bayes theorem; CSI; MIMO downlink; MMSE; THP; Tomlinson-Harashima precoding; base station; channel estimation errors; imperfect channel state information; minimum mean-square error; multiuser MIMO downlink; spatially correlated multiuser multiple-input multiple-output downlink; transmitter; wireless system; Bit error rate; Channel estimation; Correlation; Downlink; MIMO; Signal to noise ratio; Transmitters; Imperfect Channel State Information (CSI); Minimum Mean-square Error (MMSE); Multiple-input Multiple-output (MIMO); Multiuser; Spatial Correlation; Tomlinson-Harashima Precoding (THP);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
  • Conference_Location
    Shangshai
  • Print_ISBN
    978-1-4244-9010-3
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2011.827
  • Filename
    5721664