IEEE
Mountain Snow Image

2006 IEEE International Symposium
on Information Theory

Sunday, July 9 -Friday, July 14, 2006
The Westin Seattle • Seattle, Washington

Paper Detail

Session:1.1.2 - Fading Channels I
Session Time:Monday, July 10, 09:40 - 11:00
Paper Time:Monday, July 10, 10:20 - 10:40
Title: The Queued-Code in Finite-State Markov Fading Channels with Large Delay Bounds
Authors: Satashu Goel; Carnegie Mellon University 
 Rohit Negi; Carnegie Mellon University 
Abstract: A 'queued-code' is a novel channel code, whose input rate is instantaneously adapted to the channel state information, assumed to be known to the transmitter. Previously, a queued-code was demonstrated for i.i.d. block fading channels, demonstrating significant gains, in terms of error exponent, over a fixed rate code. This paper demonstrates the performance gain of the queued-code in the more realistic case of a Finite-State Markov fading channel. Similar to the block-fading result, the analysis required combines the concept of random coding bounds from information theory, and the concept of effective capacity, arising from large deviation theory analysis of queues. However, a result on the limiting moment generating function of Markov chains is the additional tool required for the analysis.



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