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Computer Communications
Volume 29, Issue 7, 24 April 2006, Pages 827-841
QofIS 2004 - Quality of Future Internet Services 2004
 
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doi:10.1016/j.comcom.2005.08.005    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier B.V. All rights reserved.

Cross-layer modeling of wireless channels for data-link and IP layer performance evaluation

Dmitri MoltchanovCorresponding Author Contact Information, E-mail The Corresponding Author, Yevgeni Koucheryavy and Jarmo Harju

Networks and Protocols Group, Institute of Communications Engineering, Tampere University of Technology, P.O. Box 553, FIN-33101 Tampere, Finland

Available online 13 September 2005.

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Abstract

To provide a tool for performance evaluation of IP-based delay- and loss-sensitive applications running over wireless channels we propose a novel cross-layer wireless channel modeling approach. We firstly develop simple and computationally efficient wireless channel modeling algorithm. For this purpose we adopt the special solution of the inverse eigenvalue problem and show that its complexity significantly decreases when the time-series is covariance stationary two-valued in nature. Our model explicitly takes into account autocorrelation and distributional properties of empirical data. Then, we extend this model to IP layer using the cross-layer mappings. The resulting model is represented by the IP packet error process and reflects memory properties of initial bit error process. We show that our approach allows to get accurate estimators of IP packet error probabilities in presence of FEC at the data-link layer eliminating the need for computationally expensive time-consuming bit level simulations. It also provides a way to choose the required correction capabilities of FEC codes resulting in best possible performance at the data-link and IP layers.

Keywords: Cross-layer wireless channel modeling; Performance evaluation

Article Outline

1. Introduction
2. Propagation properties of wireless channels
2.1. Large-scale propagation models
2.2. Small-scale propagation models
2.3. Markovian small-scale propagation model
2.4. SNR process
2.5. Bit error process
3. Bit error model of the wireless channel
3.1. Model of bit errors
3.2. The matching algorithm
4. Cross-layer wireless channel modeling
4.1. FEC at physical or data-link layer
4.2. Frame error process without FEC
4.3. Frame error process with FEC
4.4. IP packet error process
4.5. Illustration of the proposed extension
5. Performance evaluation
5.1. Queuing model
5.2. Loss performance
6. Numerical examples and performance evaluation
6.1. Bit error model
6.2. Performance at the data-link layer
6.3. Performance at the IP layer
7. Conclusions
Acknowledgements
References

















Computer Communications
Volume 29, Issue 7, 24 April 2006, Pages 827-841
QofIS 2004 - Quality of Future Internet Services 2004
 
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