• DocumentCode
    2990471
  • Title

    LR-aided MMSE lattice decoding is DMT optimal for all approximately universal codes

  • Author

    Jaldén, Joakim ; Elia, Petros

  • Author_Institution
    Inst. of Commun. & Radio-Freq. Eng., Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2009
  • fDate
    June 28 2009-July 3 2009
  • Firstpage
    1263
  • Lastpage
    1267
  • Abstract
    Currently for the nT times nR MIMO channel, any explicitly constructed space-time (ST) designs that achieve optimality with respect to the diversity multiplexing tradeoff (DMT) are known to do so only when decoded using maximum likelihood (ML) decoding, which may incur prohibitive decoding complexity. In this paper we prove that MMSE regularized lattice decoding, as well as the computationally efficient lattice reduction (LR) aided MMSE decoder, allows for efficient and DMT optimal decoding of any approximately universal latticebased code. The result identifies for the first time an explicitly constructed encoder and a computationally efficient decoder that achieve DMT optimality for all multiplexing gains and all channel dimensions. The results hold irrespective of the fading statistics.
  • Keywords
    MIMO communication; least mean squares methods; maximum likelihood decoding; space-time codes; statistical analysis; MIMO channel; MMSE lattice decoding; approximately universal lattice-based code; diversity multiplexing tradeoff; explicitly constructed space-time designs; fading statistics; lattice reduction aided MMSE decoder; maximum likelihood decoding; Error analysis; Error probability; Fading; Lattices; MIMO; Maximum likelihood decoding; Mobile communication; OFDM modulation; Performance analysis; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2009. ISIT 2009. IEEE International Symposium on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-4312-3
  • Electronic_ISBN
    978-1-4244-4313-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2009.5205961
  • Filename
    5205961