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
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