Channel resolvability codes based on concatenation and sparse linear encoding

Rana Ali Amjad, Gerhard Kramer

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

7 Scopus citations

Abstract

A concatenation of two encoders is used to construct channel resolvability codes. The code of the first encoder has large minimum distance and the second encoder is linear and has a sparse generator matrix. If the first encoder has encoding complexity O(n) or O(n log n), where n is the length of the codewords, an overall encoding complexity O(n log n) can be achieved. One can tune the sparsity to trade off the complexity of the second encoder against the minimum distance requirement of the first code, and to trade off the complexity of one of the encoders and the informational divergence scaling.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2111-2115
Number of pages5
ISBN (Electronic)9781467377041
DOIs
StatePublished - 28 Sep 2015
EventIEEE International Symposium on Information Theory, ISIT 2015 - Hong Kong, Hong Kong
Duration: 14 Jun 201519 Jun 2015

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2015-June
ISSN (Print)2157-8095

Conference

ConferenceIEEE International Symposium on Information Theory, ISIT 2015
Country/TerritoryHong Kong
CityHong Kong
Period14/06/1519/06/15

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