Modeling radio resource management in cognitive radio system based on OFDMA using colored Petri Net |
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Authors: | Yanhui Lu Yuqiong Zhang Shouyi Yang Xiaomin Mu |
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Affiliation: | School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China |
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Abstract: | Cognitive Radio (CR) system based on Orthogonal Frequency Division Multiple Access (OFDMA), such as Wireless Regional Area
Networks (WRAN) and Worldwide Interoperability for Microwave Access (WiMAX), often attempt to improve performance via dynamic
radio resource management, which is characterized as concurrent processing of different traffic and nondeterministic system
capacity. It is essential to design and evaluate such complex system using proper modeling and analysis tools. In the previous
work, most of the communication systems were modeled as Markov Chain (MC) and Stochastic Petri Nets (SPN), which have the
explicit limitation in evaluating adaptive OFDMA CR system with wide area traffic. In this paper, we develop an executable
top-down hierarchical Colored Petri Net (CPN) model for adaptive OFDMA CR system, and analyze its performance using CPN tools.
The results demonstrate that the CPN can model different radio resource management algorithms in CR Systems, and the CPN tools
require less computational effort than Markov model using Matlab, with its flexibility and adaptability to the traffics which
arrival interval and processing time are not exponentially distributed. |
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Keywords: | Cognitive Radio (CR) Dynamic Radio Resource Management (RRM) Colored Petri Net (CPN) Modeling and evaluation |
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