• DocumentCode
    1556488
  • Title

    Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion

  • Author

    Sampath, Hemanth ; Stoica, Petre ; Paulraj, Arogyaswami

  • Author_Institution
    Inf. Syst. Lab., Stanford Univ., CA, USA
  • Volume
    49
  • Issue
    12
  • fYear
    2001
  • fDate
    12/1/2001 12:00:00 AM
  • Firstpage
    2198
  • Lastpage
    2206
  • Abstract
    We address the problem of designing jointly optimum linear precoder and decoder for a MIMO channel possibly with delay-spread, using a weighted minimum mean-squared error (MMSE) criterion subject to a transmit power constraint. We show that the optimum linear precoder and decoder diagonalize the MIMO channel into eigen subchannels, for any set of error weights. Furthermore, we derive the optimum linear precoder and decoder as functions of the error weights and consider specialized designs based on specific choices of error weights. We show how to obtain: (1) the maximum information rate design; (2) QoS-based design (we show how to achieve any set of relative SNRs across the subchannels); and (3) the (unweighted) MMSE and equal-error design for fixed rate systems
  • Keywords
    MIMO systems; channel coding; decoding; delays; fading channels; least mean squares methods; noise; optimisation; quality of service; MIMO channels; MMSE criterion; QoS-based design; SNR; delay-spread; eigen subchannels; equal-error design; fixed rate systems; flat-fading channel; generalized linear decoder design; generalized linear precoder design; maximum information rate design; optimum linear decoder; optimum linear precoder; unweighted MMSE; weighted MMSE criterion; weighted minimum mean-squared error; Decoding; Delay; Estimation error; Information rates; Information systems; Laboratories; MIMO; Throughput; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/26.974266
  • Filename
    974266