Abstract
Purchase PDF (1299 K)
E-mail Article
Add to my Quick Links
Cited By in Scopus (0)
Purchase PDF (452 K)
doi:10.1016/j.peva.2006.08.001 
Copyright © 2006 Elsevier Ltd All rights reserved.
References and further reading may be available for this article. To view references and further reading you must purchase this article.
Received 9 January 2004;
Abstract
In this paper, we present an analytic model for TCP performance over wireless channels with highly correlated fading characteristics. The wireless channel TCP segment loss process is modeled using a Linear Algebraic Queueing Theory representation of a hidden Markov chain that can incorporate autocorrelations in successive segment losses. The segment loss model is then used in the development of a discrete time Markov chain representation of the evolution of the TCP congestion window. Variability in the round-trip time (RTT) distribution and sublinear congestion window growth is also incorporated into the model. We derive transient and steady-state performance measures such as the mean and variance of the congestion window size and throughput for various error autocorrelation and RTTs.
Keywords: TCP; Correlated wireless channels; Throughput; Markov chain; Hidden Markov model; Linear algebraic queueing theory
Article Outline
- 1. Introduction
- 2. Wireless channel model
- 3. Congestion window evolution model
- 3.1. Modeling of congestion window evolution with autocorrelated segment losses
- 3.2. Modeling a sequence of TOs
- 3.3. Computation of throughput
- 3.4. Model validation
- 4. Numerical results
- 4.1. Variable round-trip times
- 4.2. Multiple hops
- 4.3. Transient model
- 5. Conclusion
- References
- Vitae
