Maximal noise in interactive communication over erasure channels and channels with feedback

Klim Efremenko, Ran Gelles, Bernhard Haeupler

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

We provide tight upper and lower bounds on the noise resilience of interactive communication over noisy channels with feedback. In this setting, we show that the maximal fraction of noise that any nonadaptive protocol can withstand is 1/3. In addition, we provide a simple and efficient nonadaptive coding scheme that succeeds as long as the fraction of noise is at most 1/3-ϵvarepsilon . Surprisingly, both bounds hold regardless of whether the parties send bits or symbols from an arbitrarily large alphabet. We also consider interactive communication over erasure channels. We provide a coding scheme that withstands the optimal tolerable erasure rate of 1/2-ϵvarepsilon [Franklin et al., IEEE Trans. Info. Theory, 2015], but operates in a much simpler and more efficient way than the previous schemes. Our coding scheme works with an alphabet of size 4, in contrast to prior schemes in which the alphabet size grows as ϵvarepsilon ϵto 0. Building on the above algorithm with a fixed alphabet size, we are able to devise a protocol for binary erasure channels that tolerates erasure rates of up to 1/3-ϵvarepsilon .

Original languageEnglish
Article number7494658
Pages (from-to)4575-4588
Number of pages14
JournalIEEE Transactions on Information Theory
Volume62
Issue number8
DOIs
StatePublished - Aug 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1963-2012 IEEE.

Funding

K. Efremenko was supported by the European Community's Seventh Framework Programme (FP7/2007-2013) under Grant 257575. B. Haeupler was supported in part by NSF under Grant CCF-1527110 and in part by NSF-BSF through the Project Coding for Distributed Computing.

FundersFunder number
NSF-BSF
National Science Foundation1527110, CCF-1527110
Seventh Framework Programme257575
Seventh Framework Programme

    Keywords

    • Adversarial noise
    • Coding protocols
    • Interactive communication
    • Noise resilience

    Fingerprint

    Dive into the research topics of 'Maximal noise in interactive communication over erasure channels and channels with feedback'. Together they form a unique fingerprint.

    Cite this