An Adaptive Grouping Algorithm for Cooperative Spectrum Sensing Based on Heterogeneous Users 


Vol. 43,  No. 11, pp. 1805-1808, Nov.  2018
10.7840/kics.2018.43.11.1805


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  Abstract

In this paper, we propose a grouping algorithm for group-based cooperative spectrum sensing in multi-channel environments where the secondary users’ sensing performances are different. The proposed algorithm increases the total network throughput with a grouping by considering the error probability of secondary users. Simulation results show that the proposed algorithm can improve the sensing accuracy and total network throughput significantly compared to the conventional algorithm.

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  Cite this article

[IEEE Style]

D. Seo, H. Nam, S. Choi, "An Adaptive Grouping Algorithm for Cooperative Spectrum Sensing Based on Heterogeneous Users," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 11, pp. 1805-1808, 2018. DOI: 10.7840/kics.2018.43.11.1805.

[ACM Style]

Dongho Seo, Haewoon Nam, and Seyeong Choi. 2018. An Adaptive Grouping Algorithm for Cooperative Spectrum Sensing Based on Heterogeneous Users. The Journal of Korean Institute of Communications and Information Sciences, 43, 11, (2018), 1805-1808. DOI: 10.7840/kics.2018.43.11.1805.

[KICS Style]

Dongho Seo, Haewoon Nam, Seyeong Choi, "An Adaptive Grouping Algorithm for Cooperative Spectrum Sensing Based on Heterogeneous Users," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 11, pp. 1805-1808, 11. 2018. (https://doi.org/10.7840/kics.2018.43.11.1805)

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pISSN : 1226 - 4717
eISSN : 2287 - 3880