We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Asymptotic Analysis of Distributed Estimation over Fading Multiple Access Channels

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Tepedelenlioglu, C. ; Arizona State Univ., Tempe ; Banavar, M.K. ; Spanias, A.

We consider a distributed estimation problem where sensors transmit their observations over fading channels to a fusion center (FC), 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 CSI, 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/pi, which is about a 2dB power loss.

Published in:

Signals, Systems and Computers, 2007. ACSSC 2007. Conference Record of the Forty-First Asilomar Conference on

Date of Conference:

4-7 Nov. 2007