• DocumentCode
    3520194
  • Title

    Transceiver design with vector perturbation technique and iterative power loading

  • Author

    Weng, Ching-Chih ; Vaidyanathan, P.P.

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
  • fYear
    2009
  • fDate
    19-24 April 2009
  • Firstpage
    2297
  • Lastpage
    2300
  • Abstract
    In this paper we consider the optimization of transceivers which use the nonlinear vector perturbation technique at the transmitter. Since the perturbation vector can be almost totally removed at the receiver, the transmitter can use this extra freedom to reduce the transmitted power while maintaining the performance. The two cases considered in this paper are linear transceivers and transceivers with decision feedback (DFE). For both cases, efficient iterative power loading algorithms are developed to reduce the average bit error rate under the total transmitted power constraint. We present simulation results showing that the proposed technique performs better than the existing state-of-the-art uniform channel decomposition (UCD) system and the vector perturbation (VP) precoder.
  • Keywords
    MIMO communication; decision feedback equalisers; error statistics; iterative methods; least squares approximations; optimisation; transceivers; bit error rate; decision feedback; iterative power loading; linear transceivers; nonlinear vector perturbation technique; perturbation vector; transceiver design; uniform channel decomposition; vector perturbation precoder; Bit error rate; Decision feedback equalizers; Design optimization; Iterative algorithms; Least squares methods; MIMO; Perturbation methods; Transceivers; Transmitters; Vectors; BER Optimization; Decision Feed-Back; Integer Least Square Problem; MIMO Transceiver; Vector Perturbation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-2353-8
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2009.4960079
  • Filename
    4960079