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

Kim, Tae-Hwan (성균관대학교 정보통신공학부 네트워크시스템연구실)
Lee, Tae-Jin (성균관대학교 정보통신공학부 네트워크시스템연구실)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.5A, 2009 , pp. 391-400 More about this Journal
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.
Keywords
Cognitive Radio; Spectrum Allocation; Pilot Sensing; OFDMA;
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