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Modeling and Performance Evaluation

Modeling and Performance Evaluation

Yuehong Gao, Zhidu Li, Guoting Zhang, He Bai
Copyright: © 2015 |Pages: 24
ISBN13: 9781466665712|ISBN10: 1466665718|EISBN13: 9781466665729
DOI: 10.4018/978-1-4666-6571-2.ch028
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MLA

Gao, Yuehong, et al. "Modeling and Performance Evaluation." Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management, edited by Naima Kaabouch and Wen-Chen Hu, IGI Global, 2015, pp. 746-769. https://doi.org/10.4018/978-1-4666-6571-2.ch028

APA

Gao, Y., Li, Z., Zhang, G., & Bai, H. (2015). Modeling and Performance Evaluation. In N. Kaabouch & W. Hu (Eds.), Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management (pp. 746-769). IGI Global. https://doi.org/10.4018/978-1-4666-6571-2.ch028

Chicago

Gao, Yuehong, et al. "Modeling and Performance Evaluation." In Handbook of Research on Software-Defined and Cognitive Radio Technologies for Dynamic Spectrum Management, edited by Naima Kaabouch and Wen-Chen Hu, 746-769. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6571-2.ch028

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Abstract

Performance evaluation and analysis are of key importance to obtain deep understanding of cognitive radio networks. Some effects have been made to model and analyze the performance of cognitive radio networks. In the literature, there are two methodologies: queuing theory/Markov chain-based analysis and stochastic network calculus-based analysis. These two methodologies rely on different mathematical basics and modeling approaches. Thus, they lead to different output metrics on various viewpoints. This chapter aims to give an overall introduction to both methodologies. First, the fundamental models used in queuing/Markov chain-based analysis are presented, followed by their applications in cognitive radio networks. Then, network calculus basics are introduced with the modeling and application in performance analysis of the cognitive radio network.

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