MODELING RADIO RESOURCE MANAGEMENT IN COGNITIVE RADIO SYSTEM BASED ON OFDMA USING COLORED PETRI NET  

作　　者：Lu Yanhui Zhang Yuqiong Yang Shouyi Mu Xiaomin 

机构地区：[1]School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China

出　　处：《Journal of Electronics(China)》2010年第5期671-676,共6页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China (No. 60702020)

摘　　要：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 hier-archical 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 manage-ment 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.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 hier-archical 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 manage-ment 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.

关 键 词：Cognitive Radio (CR) Dynamic Radio Resource Management (RRM) Colored Petri Net (CPN) Modeling and evaluation 

分 类 号：TN92[电子电信—通信与信息系统]