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Robust Multiband Spectrum Sensing in Cognitive Radio Networks via Exponentially Embedded Family Criterion

Haobo Qing1, Yuanan Liu1, Gang Xie2 , Kaiming Liu1, and Fang Liu1
1.Beijing Key Laboratory of Work Safety Intelligent Monitoring, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
2.Beijing Key Laboratory of Network System Architecture and Convergence, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China

Abstract—This paper proposes a robust spectrum sensing scheme for cognitive radio networks. The proposal performs spectrum sensing simultaneously over the total channels rather than a single channel at a time. It first estimates the number of occupied channels via the exponentially embedded family criterion, and then determines the occupancy status for each channel by sample power. The proposed method is robust to noise uncertainty since noise power estimation is avoided. Simulations demonstrate that our approach is robust to noise uncertainty and outperforms existing sensing methods.

Index Terms—Cognitive radio network, spectrum sensing, robust detection, exponentially embedded family, noise uncertainty

Cite: Haobo Qing, Yuanan Liu, Gang Xie, Kaiming Liu, and Fang Liu, "Robust Multiband Spectrum Sensing in Cognitive Radio Networks via Exponentially Embedded Family Criterion," Journal of Communications, vol. 9, no. 4, pp. 357-363, 2014. Doi: 10.12720/jcm.9.4.357-363

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