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A Robust Cooperative Spectrum Sensing Based on Kullback-Leibler Divergence
Hiep VU-VAN Insoo KOO
IEICE TRANSACTIONS on Communications
Publication Date: 2012/04/01
Online ISSN: 1745-1345
Print ISSN: 0916-8516
Type of Manuscript: Special Section LETTER (Special Section on Cognitive Radio and Heterogeneous Wireless Networks in Conjunction with Main Topics of CrownCom2011)
cognitive radio, data combination rule, malicious suppression, KL-divergence,
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Reliable detection of the licensed user signal is a pre-requirement for avoiding interference to the licensed user in a CR network. Cooperative spectrum sensing (CSS) is able to offer improved sensing performance compared to individual sensing. In this paper, we propose a robust soft combination rule based on the Kullback-Leibler divergence (KL-divergence) for CSS. The proposed scheme is able to obtain a similar sensing performance compared to that of maximum gain combination (MGC) without requiring signal to noise ratio (SNR) information. In addition, the proposed scheme protects the sensing process against common types of malicious users without a malicious user identification step. The simulation results demonstrate the effectiveness of the proposed scheme.