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Content Provider | IEEE Xplore Digital Library |
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Author | Zahmati, A.S. Fernando, X. Grami, A. |
Copyright Year | 2010 |
Description | Author affiliation: Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada (Zahmati, A.S.; Fernando, X.) || Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, Oshawa, Canada (Grami, A.) |
Abstract | Cognitive radio technology has been widely researched to improve the spectrum usage efficiency. Modeling of the spectrum occupancy in a cognitive framework including licensed and unlicensed users with various traffic conditions, is a prior requirement to do the system analysis. In this paper, we develop a continuous-time Markov chain model to describe the radio spectrum usage, and derive the transition rate matrix for this model. In addition, we perform steady-state analysis to analytically derive the probability state vector. The proposed model and derived expressions are compared to the existing models, and examined through numerical analysis. |
Starting Page | 1 |
Ending Page | 5 |
File Size | 653085 |
Page Count | 5 |
File Format | |
ISBN | 9781424455928 |
e-ISBN | 9781424455942 |
DOI | 10.1109/SARNOF.2010.5469751 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-04-12 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Steady-state Cognitive radio Traffic control Performance analysis Numerical analysis Chromium Radio network Time measurement Wireless networks Particle measurements heterogeneous networks cognitive radio networks continuous-time Markov chain steady-state analysis |
Content Type | Text |
Resource Type | Article |
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