• DocumentCode
    3559067
  • Title

    Design of Spherical Lattice Space–Time Codes

  • Author

    Prasad, Narayan ; Berenguer, Inaki ; Wang, Xiaodong

  • Author_Institution
    NEC Labs. America, Princeton, NJ
  • Volume
    54
  • Issue
    11
  • fYear
    2008
  • Firstpage
    4847
  • Lastpage
    4865
  • Abstract
    In this paper, we propose a systematic procedure for designing spherical lattice (space-time) codes. By employing stochastic optimization techniques we design lattice codes which are well matched to the fading statistics as well as to the decoder used at the receiver. The decoders we consider here include the optimal albeit of highest decoding complexity maximum-likelihood (ML) decoder, the suboptimal lattice decoders, as well as the suboptimal lattice-reduction-aided (LRA) decoders having the lowest decoding complexity. For each decoder, our design methodology can be tailored to obtain low error-rate lattice codes for arbitrary fading statistics and signal-to-noise ratios (SNRs) of interest. Further, we obtain fundamental lower bounds on the error probabilities yielded by lattice and LRA decoders and characterize their asymptotic behavior.
  • Keywords
    channel coding; error statistics; fading channels; maximum likelihood decoding; probability; space-time codes; stochastic programming; error probability; fading channel statistics; maximum-likelihood decoder; spherical lattice space-time codes; stochastic optimization technique; suboptimal lattice decoders; suboptimal lattice-reduction decoder; Design methodology; Design optimization; Error analysis; Error probability; Fading; Lattices; Maximum likelihood decoding; Signal to noise ratio; Statistics; Stochastic processes; Lattice coder; lattice decoder; multiple-input multiple-output (MIMO) fading channels; stochastic optimization;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2008.929916
  • Filename
    4655465