The error exponent of the binary symmetric channel for asymmetric random codes

Rami Cohen, Wasim Huleihel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we consider asymmetric binary codes from Shannon's random code ensemble and also from the random linear code ensemble (LCE), used over the the binary symmetric channel (BSC). The asymmetry is in the sense that the codeword symbols are not necessarily chosen in an equiprobable manner. One possible motivation for such asymmetry is mismatch, where the user uses asymmetric codes over the BSC, leading to a degradation in performance. Accordingly, we derive the distance distribution and the error exponents of a typical random code (TRC) from the RCE, and of a typical linear code (TLC) from the LCE. The derivation is based on a fine large-deviation analysis of some distance enumerators, contrary to the usual bounding technique by Gallager. Later, we propose a "time-varying" BSC model, in which the crossover probability of the BSC is time-dependent, and use our results for providing a lower bound on the error exponent of this channel model.

Original languageEnglish
Title of host publication2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781479959877
DOIs
StatePublished - 1 Jan 2014
Externally publishedYes
Event2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014 - Eilat, Israel
Duration: 3 Dec 20145 Dec 2014

Publication series

Name2014 IEEE 28th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014

Conference

Conference2014 28th IEEE Convention of Electrical and Electronics Engineers in Israel, IEEEI 2014
Country/TerritoryIsrael
CityEilat
Period3/12/145/12/14

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'The error exponent of the binary symmetric channel for asymmetric random codes'. Together they form a unique fingerprint.

Cite this