An Order Statistic-Based Spectrum Sensing Scheme for Cooperative Cognitive Radio Networks in Non-Gaussian Noise Environments 


Vol. 37,  No. 11, pp. 943-951, Nov.  2012


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  Abstract

In this paper, we propose a novel spectrum sensing scheme based on the order statistic for cooperative cognitive radio network in non-Gaussian noise environments. Specifically, we model the ambient noise as the bivariate isotropic symmetric α-stable random variable, and then, propose a cooperative spectrum sensing scheme based on the order of observations and the generalized likelihood ratio test. From numerical results, it is confirmed that the proposed scheme offers a substantial performance improvement over the conventional scheme in non-Gaussian noise environments.

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  Cite this article

[IEEE Style]

H. Cho, Y. Lee, S. Yoon, S. Bae, K. Lee, "An Order Statistic-Based Spectrum Sensing Scheme for Cooperative Cognitive Radio Networks in Non-Gaussian Noise Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 11, pp. 943-951, 2012. DOI: .

[ACM Style]

Hyung-Weon Cho, Youngpo Lee, Seokho Yoon, Suk-Neung Bae, and Kwang-Eog Lee. 2012. An Order Statistic-Based Spectrum Sensing Scheme for Cooperative Cognitive Radio Networks in Non-Gaussian Noise Environments. The Journal of Korean Institute of Communications and Information Sciences, 37, 11, (2012), 943-951. DOI: .

[KICS Style]

Hyung-Weon Cho, Youngpo Lee, Seokho Yoon, Suk-Neung Bae, Kwang-Eog Lee, "An Order Statistic-Based Spectrum Sensing Scheme for Cooperative Cognitive Radio Networks in Non-Gaussian Noise Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 11, pp. 943-951, 11. 2012.