• DocumentCode
    1062070
  • Title

    Single-Symbol ML Decodable Distributed STBCs for Cooperative Networks

  • Author

    Yi, Zhihang ; Kim, Il-Min

  • Author_Institution
    Queen´´s Univ., Kingston
  • Volume
    53
  • Issue
    8
  • fYear
    2007
  • Firstpage
    2977
  • Lastpage
    2985
  • Abstract
    In this correspondence, the distributed orthogonal space-time block codes (DOSTBCs), which achieve the single-symbol maximum likelihood (ML) decodability and full diversity order, are first considered. However, systematic construction of the DOSTBCs is very hard, since the noise covariance matrix is not diagonal in general. Thus, some special DOSTBCs, which have diagonal noise covariance matrices at the destination terminal, are investigated. These codes are referred to as the row-monomial DOSTBCs. An upper bound of the data-rate of the row-monomial DOSTBC is derived and it is approximately twice higher than that of the repetition-based cooperative strategy. Furthermore, systematic construction methods of the row-monomial DOSTBCs achieving the upper bound of the data-rate are developed when the number of relays and/or the number of information-bearing symbols are even.
  • Keywords
    block codes; maximum likelihood decoding; space-time codes; cooperative networks; diagonal noise covariance matrices; distributed orthogonal space-time block codes; information-bearing symbols; repetition-based cooperative strategy; row-monomial DOSTBCs; single-symbol ML decodable distributed STBCs; single-symbol maximum likelihood decodability; systematic construction; Association rules; Channel capacity; Cryptography; Data mining; Data privacy; Data security; Databases; Entropy; Maximum likelihood decoding; Maximum likelihood estimation; Cooperative networks; distributed space–time block codes; diversity; single-symbol maximum likelihood (ML) decoding;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2007.901177
  • Filename
    4276943