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Outage Scaling Laws and Diversity for Distributed Estimation Over Parallel Fading Channels

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Date
2009
Author
Bai, Kai
Şenol, Habib
Tepedelenlioğlu, Cihan
Abstract
We consider scaling laws of the outage for distributed estimation problems over fading channels with respect to the total power and the number of sensors. Using a definition of diversity which involves a fixed number of sensors we find tight upper and lower bounds on diversity which are shown to depend on the sensing (measurement) signal-to-noise ratios (SNRs) of the sensors. Our results indicate that the diversity order can be smaller than the number of sensors and adding new sensors might not add to the diversity order depending on the sensing SNR of the added sensor. We treat a large class of envelope distributions for the wireless channel including those appropriate for line of sight scenarios. Finally we consider fixed power per sensor with an asymptotically large number of sensors and show that the outage decays faster than exponentially in the number of sensors.

Source

Transactions on Signal Processing

Issue

8

Volume

57

Pages

3182-3192

URI

https://hdl.handle.net/20.500.12469/1094
https://doi.org/10.1109/TSP.2009.2020015

Collections

  • Araştırma Çıktıları / Scopus [1565]
  • Araştırma Çıktıları / WOS [1518]
  • Bilgisayar Mühendisliği / Computer Engineering [188]

Keywords

Distributed estimation
Diversity
Sensor networks

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DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
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