A Cooperative Spectrum Sensing and Dynamic Spectrum Decision Methods for Heterogeneous Cognitive Radio Network 


Vol. 37,  No. 7, pp. 560-568, Jul.  2012


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  Abstract

Spectrum sensing and spectrum decision are the main functions that cognitive radios (CRs) have to perform in order to get the best available spectrum band for the establishment of a wireless communication. These problems are worsened in the presence of users with different demands and spectrum channels with different properties in a heterogeneous network. The primary objective in this work is to design and simulate a new spectrum decision algorithm for heterogeneous cognitive radio system. To this end, first, we consider all cognitive users are separated into different traffic classes according to their Quality of Service (QoS). The cognitive users within one traffic class perform spectrum sensing in centralized group-based cooperative spectrum sensing system and the users of different traffic classes share the sensing results. Second, we propose a novel use of the Analytic Hierarchy Process (AHP) to optimally select available bands according to user requirements and detected spectrum channel characteristics (SCC). In this paper, utility function is used as spectrum decision algorithm. Simulation results demonstrate that the proposed method shows can effectively select the best available spectrum channels with a low complexity.

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  Cite this article

[IEEE Style]

N. Kim, "A Cooperative Spectrum Sensing and Dynamic Spectrum Decision Methods for Heterogeneous Cognitive Radio Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 7, pp. 560-568, 2012. DOI: .

[ACM Style]

Nam-sun Kim. 2012. A Cooperative Spectrum Sensing and Dynamic Spectrum Decision Methods for Heterogeneous Cognitive Radio Network. The Journal of Korean Institute of Communications and Information Sciences, 37, 7, (2012), 560-568. DOI: .

[KICS Style]

Nam-sun Kim, "A Cooperative Spectrum Sensing and Dynamic Spectrum Decision Methods for Heterogeneous Cognitive Radio Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 7, pp. 560-568, 7. 2012.