• DocumentCode
    3355608
  • Title

    Upper bounds on error probabilities for continuous-time white Gaussian channels with feedback

  • Author

    Ihara, Susumu

  • Author_Institution
    Grad. Sch. of Inf. Sci., Nagoya Univ., Nagoya, Japan
  • fYear
    2013
  • fDate
    7-12 July 2013
  • Firstpage
    2533
  • Lastpage
    2537
  • Abstract
    In information transmission over additive white Gaussian channels with feedback, the use of feedback link to improve the performance of communication systems has been studied by a number of authors. It is well known that the error probability in information transmission can be substantially reduced by using feedback, namely, under the average power constraint, the error probability decreases more rapidly than the exponential of any order. Recently, for discrete-time additive white Gaussian channels, Gallager and Nakiboğlu proposed a feedback coding scheme such that the resulting error probability Pe(N) decreases with an exponential order αN which is linearly increasing with block length N, where α is a positive constant. In this paper, we consider continuous-time additive white Gaussian channels with feedback. The aim is to prove a stronger result on the multiple-exponential decay of the error probability. More precisely, for any positive constant α, there exists a feedback coding scheme such that the resulting error probability Pe(T) at time T decreases more rapidly than the exponential of order αT as T → ∞.
  • Keywords
    Gaussian channels; channel coding; continuous time systems; discrete time systems; error statistics; feedback; continuous-time white Gaussian channels; discrete-time additive white Gaussian channels; error probabilities; feedback coding scheme; feedback link; information transmission; multiple exponential decay; power constraint; Decoding; Encoding; Error probability; Information processing; Kernel; Noise; White Gaussian channel with feedback; average power constraint; feedback coding scheme; multiple-exponential decrease of error probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
  • Conference_Location
    Istanbul
  • ISSN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2013.6620683
  • Filename
    6620683