• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

A Kullback-Leiber Divergence-based Spectrum Sensing for Cognitive Radio Systems


Kieu-Xuan Thuc, In-Soo Koo, Journal of Internet Computing and Services, Vol. 13, No. 1, pp. 1-6, Feb. 2012
10.7472/jksii.2012.13.1.1, Full Text:
Keywords: cognitive radio, spectrum sensing, Kullback-Leiber divergence

Abstract

In the paper, an information divergence called Kullback-Leiber divergence, which measures the average of the logarithmic difference between two probability density functions, is utilized to derive a novel method for spectrum sensing in cognitive radio systems. In the proposed sensing method, we test whether the observed samples are drawn from the noise distribution by using Kullback-Leiber divergence. It is shown by numerical results that under the same conditions, the proposed Kullback-Leiber divergence-based spectrum sensing always outperforms the energy detection based spectrum sensing significantly, especially in low SNR regime and in fading circumstance.


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Cite this article
[APA Style]
Kieu-Xuan Thuc and In-Soo Koo (2012). A Kullback-Leiber Divergence-based Spectrum Sensing for Cognitive Radio Systems. Journal of Internet Computing and Services, 13(1), 1-6. DOI: 10.7472/jksii.2012.13.1.1.

[IEEE Style]
K. Thuc and I. Koo, "A Kullback-Leiber Divergence-based Spectrum Sensing for Cognitive Radio Systems," Journal of Internet Computing and Services, vol. 13, no. 1, pp. 1-6, 2012. DOI: 10.7472/jksii.2012.13.1.1.

[ACM Style]
Kieu-Xuan Thuc and In-Soo Koo. 2012. A Kullback-Leiber Divergence-based Spectrum Sensing for Cognitive Radio Systems. Journal of Internet Computing and Services, 13, 1, (2012), 1-6. DOI: 10.7472/jksii.2012.13.1.1.