Copyright © 2005 Elsevier B.V. All rights reserved.
Cross-layer modeling of wireless channels for data-link and IP layer performance evaluation
Available online 13 September 2005.
References and further reading may be available for this article. To view references and further reading you must purchase this article.
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
- 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
- 7. Conclusions
- Acknowledgements
- References






E-mail Article
Add to my Quick Links

Cited By in Scopus (3)

1) of ∑




