• DocumentCode
    2392608
  • Title

    A new upper bound on the reliability function of the Gaussian channel

  • Author

    Ashikhmin, A. ; Barg, A. ; Litsyn, S.

  • Author_Institution
    Bell Labs., Lucent Technol., Murray Hill, NJ, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    458
  • Abstract
    Upper bounds on the reliability function of the Gaussian channel were derived by Shannon in 1959. Kabatiansky and Levenshtein (1978) obtained a low-rate improvement of Shannon´s “minimum-distance bound”. Together with the straight-line bound this provided an improvement upon the sphere-packing bound in a certain range of code rate. We prove a bound better than the KL bound on the reliability function. Employing the straight-line bound, we obtain a further improvement of Shannon´s results. As intermediate results we prove lower bounds on the distance distribution of spherical codes and a tight bound on the exponent of Jacobi polynomials of growing degree in the entire orthogonality segment
  • Keywords
    Gaussian channels; codes; decoding; error statistics; polynomials; reliability; Gaussian channel; Jacobi polynomials exponent; KL bound; Shannon minimum-distance bound; code rate; decoding; distance distribution; error probability; lower bounds; reliability function; sphere-packing bound; spherical codes; straight-line bound; tight bound; upper bound; Entropy; Equations; Error probability; Gaussian channels; Gaussian noise; Information theory; Jacobian matrices; Maximum likelihood decoding; Signal to noise ratio; Upper bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2000. Proceedings. IEEE International Symposium on
  • Conference_Location
    Sorrento
  • Print_ISBN
    0-7803-5857-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2000.866756
  • Filename
    866756