Optimal Reconstruction Codes for Deletion Channels

Johan Chrisnata, Han Mao Kiah, Eitan Yaakobi

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

Abstract

The sequence reconstruction problem, introduced by Levenshtein in 2001, considers a communication scenario where the sender transmits a codeword from some codebook and the receiver obtains multiple noisy reads of the codeword. Motivated by modern storage devices, we introduced a variant of the problem where the number of noisy reads N is fixed (Kiah et al. 2020). Of significance, for the single-deletion channel, using log2 log2 n+O(1) redundant bits, we designed acodebook of length n that reconstructs codewords from two distinct noisy reads.In this work, we show that log2 log2 n-O(1) redundant bits are necessary for such reconstruction codes, thereby, demonstrating the optimality of our previous construction. Furthermore, we show that these reconstruction codes can be used in t-deletion channels (with t ≥ 2) to uniquely reconstruct codewords from nt-1 + O(nt-2) distinct noisy reads.

Original languageEnglish
Title of host publicationProceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020
Pages279-283
Number of pages5
ISBN (Electronic)9784885523304
DOIs
StatePublished - 24 Oct 2020
Externally publishedYes
Event16th International Symposium on Information Theory and its Applications, ISITA 2020 - Virtual, Kapolei, United States
Duration: 24 Oct 202027 Oct 2020

Publication series

NameProceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020

Conference

Conference16th International Symposium on Information Theory and its Applications, ISITA 2020
Country/TerritoryUnited States
CityVirtual, Kapolei
Period24/10/2027/10/20

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems
  • Software
  • Theoretical Computer Science

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