Computable Upper Bounds for Unifilar Finite-State Channels

Bashar Huleihel, Oron Sabag, Haim H. Permuter, Navin Kashyap, Shlomo Shamai Shitz

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

1 Scopus citations


In this paper, we study the capacity of unifilar finite-state channels. We derive upper bounds that are based on the dual capacity bounding technique using test distributions with memory on directed Q-graphs. The bounds hold for any choice of graph-based test distribution and result in a multi-letter expression. The computability of the upper bound is shown via a novel dynamic programming formulation that can be efficiently evaluated. We further show that the bounds can be simplified to simple single-letter expressions by solving the corresponding Bellman equation explicitly. In particular, for the Ising and Trapdoor channels, we provide simple analytic upper bounds which outperform all previous bounds from the literature.

Original languageEnglish
Title of host publication2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781538692912
StatePublished - 1 Jul 2019
Event2019 IEEE International Symposium on Information Theory, ISIT 2019 - Paris, France
Duration: 7 Jul 201912 Jul 2019

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8095


Conference2019 IEEE International Symposium on Information Theory, ISIT 2019

ASJC Scopus subject areas

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


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