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http://dx.doi.org/10.7840/kics.2012.37A.11.943

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

Cho, Hyung-Weon (삼성탈레스)
Lee, Youngpo (성균관대학교 정보통신대학)
Yoon, Seokho (성균관대학교 정보통신대학)
Bae, Suk-Neung (국방과학연구소)
Lee, Kwang-Eog (국방과학연구소)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.37A, no.11, 2012 , pp. 943-951 More about this Journal
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 ${\alpha}$-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.
Keywords
cooperative spectrum sensing; non-Gaussian noise; order statistic; likelihood ratio test;
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Times Cited By KSCI : 1  (Citation Analysis)
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