Asymptotic analysis of distributed estimation over fading multiple access channels

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

5 Scopus citations

Abstract

We consider a distributed estimation problem where sensors transmit their observations over fading channels to a fusion center (PC), where the parameter is estimated. We calculate the variance of the estimate when we have full, partial and no channel information at the sensors. We compare these with a benchmark obtained when the channels are AWGN. We show that while having no CSI at the sensors leads to bad performance, partial CSI at the sensors is sufficient to get reliable estimates of the parameter. Comparing the performance when the sensors have partial CSI, to when the sensors have full CS I, the deterioration of the variance of the estimator in the case of partial CSI at the sensors is upper bounded by a factor of 4/π, which is about a 2dB power loss.

Original languageEnglish (US)
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Pages2140-2144
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
Duration: Nov 4 2007Nov 7 2007

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other41st Asilomar Conference on Signals, Systems and Computers, ACSSC
CountryUnited States
CityPacific Grove, CA
Period11/4/0711/7/07

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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