[UCI-Calit2] Seminar 7/20/11 on Wireless Channel Uncertainty in Relay-Assisted Communication and Distributed Detection Systems

[Shellie Nazarenus]

Title: Wireless Channel Uncertainty in Relay-Assisted Communication and 
Distributed Detection Systems
 
Speaker: Prof. Azadeh Vosoughi, University of Rochester
 
Date: July 20, 2011, Wed.
 
Time: 11:00 AM
 
Venue: Engineering Hall 2430
 
ABSTRACT
 
One of the main challenges in wireless communications is coping with 
channel uncertainty. Dealing with this uncertainty, and the limitations 
it imposes, is tightly related to the specific system and its 
application. In this talk, we consider two systems, namely a wireless 
bi-directional relay-assisted communication system and a wireless 
distributed detection system. We study the impacts of channel 
uncertainty on the performance limits of these two systems and 
investigate optimal transceiver designs that minimize these impacts.
 
For the bi-directional relay-assisted communications we consider a 
training-based system, in which receivers learn the channels via 
employing dedicated pilot symbols. Assuming Gaussian inputs and block 
Rayleigh fading channel model, we study the trade-off between the 
accuracy and the bandwidth/energy costs of channel estimation and 
explore optimal transmit resource allocation, subject to network power 
constraint. We consider Cramer-Rao lower bound for channel estimation, 
sum-rate and outage probability bounds as the performance metrics.
 
Next, we discuss the effects of channel uncertainty on the design and 
performance of a wireless distributed detection system that is tasked 
with solving a binary hypothesis testing problem. We consider systems 
with training-based and blind channel estimation and 
coherent/non-coherent receptions. We investigate the optimal data fusion

rules that maximize the overall system detection reliability and error 
exponent. Furthermore, we present and compare several detection and data

fusion designs that exploit diversity to combat channel uncertainty and 
enhance system performance.
 
SPEAKER'S BIOGRAPHY
 
Azadeh Vosoughi is Wilmot Assistant Professor in the Department of 
Electrical and Computer Engineering at the University of Rochester.  She

received her BS degree from Sharif University of Technology, Tehran, 
Iran, in 1997, her MS degree from Worcester Polytechnic Institute, 
Worcester, MA, in 2001, and her PhD degree from Cornell University, 
Ithaca, NY, in 2006, all in Electrical Engineering. Her research 
interests lie in the areas of wireless relay-assisted communications, 
distributed detection and estimation, and distributed source coding and 
compression. She was the recipient of the Furth award in 2006 and was 
appointed as Wilmot Assistant Professor in 2009 at the University of 
Rochester. Dr. Vosoughi received the NSF CAREER award in 2011 for her 
research on the integration of signal processing and communications for 
distributed detection systems.
 
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