• DocumentCode
    3277161
  • Title

    Minimum Symbol Error Rate Turbo Multiuser Beamforming Aided QAM Receiver

  • Author

    Tan, Shuang ; Chen, Sheng ; Hanzo, Lajos

  • Author_Institution
    Univ. of Southampton, Southampton
  • fYear
    2008
  • fDate
    March 31 2008-April 3 2008
  • Firstpage
    912
  • Lastpage
    916
  • Abstract
    This paper studies a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for high-throughput quadrature amplitude modulation systems communicating over additive white Gaussian noise channels. The proposed linear SIC aided minimum symbol error rate (MSER) multiuser detection scheme guarantees the direct and explicit minimisation of the symbol error rate at the output of the detector. Based on the extrinsic information transfer (EXIT) chart technique, we compare the EXIT characteristics of an iterative MSER multiuser detector (MUD) with those of the conventional minimum mean squared error (MMSE) detector. As expected, the proposed SIC- MSER MUD outperforms the SIC aided MMSE MUD.
  • Keywords
    AWGN channels; interference suppression; least mean squares methods; multiuser detection; quadrature amplitude modulation; turbo codes; additive white Gaussian noise channel; extrinsic information transfer chart technique; iterative soft interference cancellation; linear SIC aided minimum symbol error rate; minimum mean squared error detector; multiuser detection scheme; turbo multiuser beamforming aided QAM receiver; Additive white noise; Array signal processing; Concatenated codes; Detectors; Error analysis; Interference cancellation; Mean square error methods; Multiuser detection; Quadrature amplitude modulation; Silicon carbide;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4244-1997-5
  • Type

    conf

  • DOI
    10.1109/WCNC.2008.166
  • Filename
    4489197