Performance Analysis of Frequency Allocation Methods Using Frequency Reuse and Channel Estimation in Cognitive Radio Systems 


Vol. 34,  No. 5, pp. 391-400, May  2009


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  Abstract

Recently, cellular communication networks are migrating from 2G to 3G. Spectrum utilization tends to be inefficient during the transition. Cognitive radio (CR) technology can be a key solution to increase spectrum efficiency by allowing secondary networks to utilize frequency resource of primary networks. However, conventional CR approaches which do not utilize the frequency reuse factor of primary networks may incur degradation of whole network performance. In this paper, we propose a mechanism that a secondary network senses pilot signals of a primary network and select optimum frequency bands. In order to maximize whole network performance, we formulate an optimization problem subject to interference constraints for a primary network and present algorithms. Simulation results compare the proposed method with the conventional method. Our proposed method shows performance gain over the conventional method if channel variation of a primary network is dynamic and the frequency reuse factor of a primary network is high.

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  Cite this article

[IEEE Style]

T. Kim and T. Lee, "Performance Analysis of Frequency Allocation Methods Using Frequency Reuse and Channel Estimation in Cognitive Radio Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 5, pp. 391-400, 2009. DOI: .

[ACM Style]

Tae-Hwan Kim and Tae-Jin Lee. 2009. Performance Analysis of Frequency Allocation Methods Using Frequency Reuse and Channel Estimation in Cognitive Radio Systems. The Journal of Korean Institute of Communications and Information Sciences, 34, 5, (2009), 391-400. DOI: .

[KICS Style]

Tae-Hwan Kim and Tae-Jin Lee, "Performance Analysis of Frequency Allocation Methods Using Frequency Reuse and Channel Estimation in Cognitive Radio Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 5, pp. 391-400, 5. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880