• DocumentCode
    2055639
  • Title

    On the asymptotic capacity of Gaussian relay networks

  • Author

    Gastpar, Michael ; Vetterli, Martin

  • Author_Institution
    Ecole Polytech. Fed. de Lausanne, Switzerland
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    195
  • Abstract
    We determine the asymptotic capacity of a Gaussian multiple-relay channel as the number of relays tends to infinity. The upper bound is an application of the cut-set theorem, and the lower bound follows from an argument involving uncoded transmission. Hence, this paper gives one more example where the cut-set bound is achievable, and one more example where uncoded transmission achieves optimal performance. In the latter sense, the result is an extension of the work of Gastpar, Rimoldi and Vetterli (see IEEE Trans. Info. Theory, May 2001). The arguments of this paper are also relevant to wireless networks, yielding an asymptotic capacity result.
  • Keywords
    Gaussian channels; channel capacity; radio networks; Gaussian multiple-relay channel; Gaussian relay networks; asymptotic capacity; cut-set bound; cut-set theorem; lower bound; network models; optimal performance; uncoded transmission; upper bound; wireless networks; Additive noise; Capacitive sensors; Fading; Gaussian noise; H infinity control; Receiving antennas; Relays; Upper bound; Wireless networks; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
  • Print_ISBN
    0-7803-7501-7
  • Type

    conf

  • DOI
    10.1109/ISIT.2002.1023467
  • Filename
    1023467