• DocumentCode
    26519
  • Title

    Precoder Design for Multiuser MISO Systems Exploiting Statistical and Outdated CSIT

  • Author

    Wang, Jue ; Matthaiou, Michail ; Jin, Shi ; Gao, Xiqi

  • Author_Institution
    National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, P. R. China
  • Volume
    61
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov-13
  • Firstpage
    4551
  • Lastpage
    4564
  • Abstract
    We propose a multiuser downlink transmission scheme exploiting both statistical and outdated channel state information (CSI) at the transmitter. Based on the outdated CSI-aided transmission scheme introduced in (denoted as MAT), the proposed scheme reduces the original K-user MAT system to a two-user virtual MAT system, through statistical precoding in the first two transmission slots. Thus, the proposed scheme (denoted as V-MAT) reduces efficiently the implementation complexity, while increasing the achievable rate at finite signal-to-noise ratios (SNRs). For the V-MAT scheme, we derive an analytical high SNR rate approximation for correlated Rayleigh fading. Furthermore, for independent and identically distributed Rayleigh fading, we derive an exact rate expression at high SNRs, as well as a tight lower bound which applies for arbitrary SNRs. Then, precoder design is investigated, where an efficient near-optimal solution is proposed for arbitrary number of transmit antennas, and a closed-form optimal solution is derived for the two-antenna case. It is demonstrated that the proposed V-MAT scheme yields higher achievable rate than the original MAT scheme at practical SNRs. Moreover, by combining the V-MAT scheme and the generalized MAT scheme of , where precoding is implemented in the third transmission slot, the achievable rate can be further increased.
  • Keywords
    Approximation methods; Complexity theory; Downlink; Rayleigh channels; Signal to noise ratio; Transmitting antennas; Broadcast channel; correlation; multiple-input single-output (MISO); outdated channel state information (CSI); precoding;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2013.091813.120874
  • Filename
    6612631