Real-time variable-to-fixed lossless source coding of randomly arriving symbols

Uri Abend, Anatoly Khina

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

Abstract

We address the recently suggested problem of causal lossless coding of randomly arriving source samples. We construct variable-to-fixed coding schemes and show that they outperform the previously considered fixed-to-variable schemes when traffic is high, in terms of both delay and Age of Information by appealing to tools from queueing theory. We supplement our theoretical bounds with numerical simulations.

Original languageEnglish
Title of host publication2020 IEEE Information Theory Workshop, ITW 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728159621
DOIs
StatePublished - 11 Apr 2021
Event2020 IEEE Information Theory Workshop, ITW 2020 - Virtual, Riva del Garda, Italy
Duration: 11 Apr 202115 Apr 2021

Publication series

Name2020 IEEE Information Theory Workshop, ITW 2020

Conference

Conference2020 IEEE Information Theory Workshop, ITW 2020
Country/TerritoryItaly
CityVirtual, Riva del Garda
Period11/04/2115/04/21

Keywords

  • Age of Information
  • Delay
  • Lossless source coding
  • Queueing theory

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Information Systems
  • Signal Processing
  • Software
  • Theoretical Computer Science

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