• DocumentCode
    1882616
  • Title

    Error aware distributed space-time decoding for regenerative relay networks

  • Author

    Zhang, Chao

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    10-15 April 2011
  • Firstpage
    35
  • Lastpage
    40
  • Abstract
    In this paper, we examine distributed space-time decoding structure for regenerative wireless relay networks. Given the demodulation error at the regenerative relays, we provide a general framework of error aware distributed space-time decoding at the destination, where the receiver is assumed to know the demodulation error probability at relays. Considering the high computational complexity of optimal Maximum Likelihood (ML) decoder, we also propose two low-complexity decoding structures, Max-Log decoder and Max-Log-Sphere decoder. Simulations show that error aware distributed space-time decoding can improve system performance greatly without high system overload, and Max-Log decoder and Max-Log-Sphere decoder can efficiently reduce decoding complexity with neglectable performance degradation.
  • Keywords
    communication complexity; demodulation; error statistics; maximum likelihood decoding; radio networks; radio receivers; space-time codes; ML decoder; computational complexity; decoding complexity; demodulation error probability; error aware distributed space-time decoding; low-complexity decoding structure; max-log sphere decoder; optimal maximum likelihood decoder; receiver; regenerative wireless relay network; system overload; system performance; Complexity theory; Demodulation; Maximum likelihood decoding; Relays; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4577-0249-5
  • Electronic_ISBN
    978-1-4577-0248-8
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2011.5928838
  • Filename
    5928838