Date: February 18, 2005

Time: 3:00 pm

Location: GCATT Room 325

Speaker(s): Dr. Ananthram Swami (Army Research Lab)

Title: Rate-Optimal Training Design for Time-Varying Fading Channels

Abstract:
Using cutoff rate as the metric, we consider the problem of optimal allocation of resources (bandwidth and power) between training and data for transmission over a correlated Rayleigh fading channel. Inaccurate channel state information (CSI) is available at the receiver through periodic training. There is no feedback so that instantaneous CSI is not available at the transmitter. We also consider the rate-optimizing binary distribution which depends upon the SNR and CSI quality. We develop an analytic design rule that adaptively switches between BPSK and OOK, which is nearly optimal in the moderate-to-high SNR region. Somen results for the uncoded case will also be presented.

This work was done in collaboration with Saswat Misra (ARL) and Lang Tong (Cornell).

Bio:
Ananthram Swami received the B.Tech. degree from IIT, Bombay; the M.S. degree from Rice University, Houston; and the Ph.D. degree from the University of Southern California (USC), all in Electrical Engineering. He has held positions with Unocal Corporation, USC, CS-3 and Malgudi Systems. He is currently with the US Army Research Laboratory, Adelphi, MD, where he is a Fellow. His work is in the broad area of signal processing and communications.

He was a Statistical Consultant to the California Lottery, and developed a Matlab-based toolbox for non-Gaussian signal processing. He has held visiting faculty positions at INP, Toulouse, France, and has taught short courses for industry. He is an AE for IEEE TSP, IEEE TWC, and on the Editorial Board for SPM. He was co-organizer of HOS'93, SSAP'96, and the ASA-AMA Heavy Tails'99. He is co-guest editor of a 2004 special issue of the IEEE Signal Processing Magazine on `Signal Processing for Networking'.

Slides: sem02_18_05_Ananthram_Swami.pdf

Date:	February 18, 2005
Time:	3:00 pm
Location:	GCATT Room 325
Speaker(s):	Dr. Ananthram Swami (Army Research Lab)
Title:	Rate-Optimal Training Design for Time-Varying Fading Channels
Abstract:	Using cutoff rate as the metric, we consider the problem of optimal allocation of resources (bandwidth and power) between training and data for transmission over a correlated Rayleigh fading channel. Inaccurate channel state information (CSI) is available at the receiver through periodic training. There is no feedback so that instantaneous CSI is not available at the transmitter. We also consider the rate-optimizing binary distribution which depends upon the SNR and CSI quality. We develop an analytic design rule that adaptively switches between BPSK and OOK, which is nearly optimal in the moderate-to-high SNR region. Somen results for the uncoded case will also be presented. This work was done in collaboration with Saswat Misra (ARL) and Lang Tong (Cornell).
Bio:	Ananthram Swami received the B.Tech. degree from IIT, Bombay; the M.S. degree from Rice University, Houston; and the Ph.D. degree from the University of Southern California (USC), all in Electrical Engineering. He has held positions with Unocal Corporation, USC, CS-3 and Malgudi Systems. He is currently with the US Army Research Laboratory, Adelphi, MD, where he is a Fellow. His work is in the broad area of signal processing and communications. He was a Statistical Consultant to the California Lottery, and developed a Matlab-based toolbox for non-Gaussian signal processing. He has held visiting faculty positions at INP, Toulouse, France, and has taught short courses for industry. He is an AE for IEEE TSP, IEEE TWC, and on the Editorial Board for SPM. He was co-organizer of HOS'93, SSAP'96, and the ASA-AMA Heavy Tails'99. He is co-guest editor of a 2004 special issue of the IEEE Signal Processing Magazine on `Signal Processing for Networking'.
Slides:	sem02_18_05_Ananthram_Swami.pdf