An asymptotic approximation of the ISI channel capacity

Giorgio Taricco, Joseph Boutros

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

An asymptotic method to calculate the information rate of an ISI channel is presented in this work. The method is based on an integral representation of the mutual information, which is then calculated by using a saddlepoint approximation along with an asymptotic expansion stemming from the Hubbard-Stratonovich transform. This asymptotic result is evaluated repeatedly to generate a large number of samples required for the Monte-Carlo approximation of the final result. The proposed method has the advantage of being manageable even when the channel memory becomes very large since the complexity grows with polynomial order in the memory length.

Original languageEnglish
DOIs
Publication statusPublished - 1 Jan 2014
Event2014 IEEE Information Theory and Applications Workshop, ITA 2014 - San Diego, CA, United States
Duration: 9 Feb 201414 Feb 2014

Other

Other2014 IEEE Information Theory and Applications Workshop, ITA 2014
CountryUnited States
CitySan Diego, CA
Period9/2/1414/2/14

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Keywords

  • Channel capacity
  • Information rates
  • Intersymbol interference channels

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Cite this

Taricco, G., & Boutros, J. (2014). An asymptotic approximation of the ISI channel capacity. Paper presented at 2014 IEEE Information Theory and Applications Workshop, ITA 2014, San Diego, CA, United States. https://doi.org/10.1109/ITA.2014.6804211