• DocumentCode
    2056357
  • Title

    Improved MMSE Vector Precoding Based on the MBER Criterion

  • Author

    Yao, W. ; Chen, S. ; Hanzo, L.

  • Author_Institution
    Sch. of ECS, Univ. of Southampton, Southampton
  • fYear
    2009
  • fDate
    26-29 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A novel vector precoding scheme is proposed for the downlink of a multiuser system equipped with multiple antennas transmitting to single-antenna aided mobile receivers. Our transmit preprocessing scheme first invokes a regularized channel inversion and then superimposes a perturbation vector to directly minimize the bit error ratio (BER) of the system as an improvement to the well-known minimum mean-square-error (MMSE) vector precoding scheme. Our simulation results demonstrate that the proposed vector precoding scheme achieves the same BER performance as the MMSE vector precoding at the same complexity, when only discrete vector perturbations are allowed. However, the performance of the proposed vector precoding scheme can be further improved based on the MBER criterion, when continuous-valued vector perturbations are carried out.
  • Keywords
    error statistics; mean square error methods; multiuser channels; precoding; radio receivers; transmitting antennas; MBER criterion; MMSE vector precoding; bit error ratio; discrete vector perturbations; minimum mean square error; mobile receivers; multiple antennas transmitting; multiuser system; regularized channel inversion; single antenna; Bit error rate; Downlink; Fading; Frequency conversion; Multiaccess communication; Multiuser detection; Receiving antennas; Transmitters; Transmitting antennas; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th
  • Conference_Location
    Barcelona
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-2517-4
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2009.5073592
  • Filename
    5073592