Feedback Capacity and Coding for the BIBO Channel with a No-Repeated-Ones Input Constraint

Oron Sabag, Haim H. Permuter, Navin Kashyap

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

In this paper, a general binary-input binary-output channel is investigated in the presence of feedback and input constraints. The feedback capacity and the optimal input distribution of this setting are calculated for the case of an (1,∈) -RLL input constraint, that is, the input sequence contains no consecutive ones. These results are obtained via explicit solution of an equivalent dynamic programming optimization problem. A simple coding scheme is designed based on the principle of posterior matching, which was introduced by Shayevitz and Feder for memoryless channels. The posterior matching scheme for our input-constrained setting is shown to achieve capacity using two new ideas: history bits, which captures the memory embedded in our setting, and message-interval splitting, which eases the analysis of the scheme. Additionally, in the special case of an S-channel, we give a very simple zero-error coding scheme that is shown to achieve capacity. For the input-constrained binary symmetric channel, we show using our capacity formula that feedback increases capacity when the cross-over probability is small.

Original languageEnglish
Pages (from-to)4940-4961
Number of pages22
JournalIEEE Transactions on Information Theory
Volume64
Issue number7
DOIs
StatePublished - 1 Jul 2018

Keywords

  • Binary channels
  • dynamic programming
  • feedback capacity
  • posterior matching scheme
  • runlength-limited (RLL) constraints

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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