In-network channel decoding using consensus on log-likelihood ratio averages

Hao Zhu, Alfonso Cano, Georgios B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper considers the problem of distributed decoding of a coded message from a mobile access point (AP) sent to a sensor network. The distributed decoding problem is solved using a consensus algorithm on the log-likelihood ratio averages, which ensures that all sensors attain the same decision as if all received signals were available at a centralized location. Unlike existing distributed hypothesis testing problems, whose inter-sensor communication cost grows exponentially with the codeword size, the novel consensus-based distributed decoder exploits knowledge over the problem to reduce the cost to be linear. Link failures and inter-sensor communication noise are also accounted for. Analysis and simulations confirm that the resultant distributed decoder attains bit error rate performance approaching its centralized counterpart within a few iterations.

Original languageEnglish (US)
Title of host publicationCISS 2008, The 42nd Annual Conference on Information Sciences and Systems
Pages1058-1063
Number of pages6
DOIs
StatePublished - Sep 22 2008
EventCISS 2008, 42nd Annual Conference on Information Sciences and Systems - Princeton, NJ, United States
Duration: Mar 19 2008Mar 21 2008

Publication series

NameCISS 2008, The 42nd Annual Conference on Information Sciences and Systems

Other

OtherCISS 2008, 42nd Annual Conference on Information Sciences and Systems
CountryUnited States
CityPrinceton, NJ
Period3/19/083/21/08

Keywords

  • Consensus Average
  • Distributed Decoding
  • Wireless sensor networks (WSNs)

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