Queueing behavior of the Gilbert-Elliott channel: BCH codes and Poisson arrivals

Published

Conference Paper

This paper considers the queueing performance of a communication system that transmits BCH-coded data over the correlated-error channel first studied by Gilbert and Elliott in the 1960s. For some arrival processes, one can join the queue length and channel state so that the pair forms a Markov chain; this provides a powerful tool to analyze the tail probability of the queue. For Bernoulli packet arrivals, this approach works but does not allow for fair comparisons between different block-length codes. In this paper, a Poisson arrival model is assumed in order to make fair comparisons between codes with arbitrary block length and code rate. This enables one to optimize code parameters for delay-sensitive communication systems over time-varying channels. Finally, the analysis is supported through a Monte Carlo simulation. © 2011 IEEE.

Full Text

Duke Authors

Cited Authors

  • Hamidi-Sepehr, F; Cai, Y; Pfister, HD; Chamberland, JF

Published Date

  • October 26, 2011

Published In

  • Ieee International Symposium on Information Theory Proceedings

Start / End Page

  • 1806 - 1810

International Standard Book Number 13 (ISBN-13)

  • 9781457705953

Digital Object Identifier (DOI)

  • 10.1109/ISIT.2011.6033861

Citation Source

  • Scopus