Random-coding error exponent of variable-length codes with a single-bit noiseless feedback

Shai Ginzach, Neri Merhav, Igal Sason

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

Abstract

We study the random-coding error exponent function of variable-length codes in the presence of a noiseless feedback channel, which is allowed to be used merely for a single bit feedback per each transmitted message. In this study, we harness results and analysis techniques from the theory of sequential hypothesis testing, and combine them with modern distance enumeration methods which are used in the literature on error exponents. For this setup, sometimes referred to as stop-feedback, we derive an exact single-letter expression for the random-coding error exponent over the binary symmetric channel. For symmetric discrete memoryless channels, the exact error exponent at zero rate is obtained, and a lower bound is provided for any other positive rate below capacity.

Original languageEnglish
Title of host publication2017 IEEE Information Theory Workshop, ITW 2017
Pages584-588
Number of pages5
ISBN (Electronic)9781509030972
DOIs
StatePublished - 2017
Event2017 IEEE Information Theory Workshop, ITW 2017 - Kaohsiung, Taiwan, Province of China
Duration: 6 Nov 201710 Nov 2017

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2018-January

Conference

Conference2017 IEEE Information Theory Workshop, ITW 2017
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period6/11/1710/11/17

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Information Systems
  • Modelling and Simulation
  • Applied Mathematics

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