DOI QR코드

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Malicious User Suppression Based on Kullback-Leibler Divergence for Cognitive Radio

  • Van, Hiep-Vu (School of Electrical Engineering, University of Ulsan) ;
  • Koo, In-Soo (School of Electrical Engineering, University of Ulsan)
  • 투고 : 2011.03.18
  • 심사 : 2011.06.08
  • 발행 : 2011.06.28

초록

Cognitive radio (CR) is considered one of the most promising next-generation communication systems; it has the ability to sense and make use of vacant channels that are unused by licensed users. Reliable detection of the licensed users' signals is an essential element for a CR network. Cooperative spectrum sensing (CSS) is able to offer better sensing performance as compared to individual sensing. The presence of malicious users who falsify sensing data can severely degrade the sensing performance of the CSS scheme. In this paper, we investigate a secure CSS scheme, based on the Kullback-Leibler Divergence (KL-divergence) theory, in order to identify malicious users and mitigate their harmful effect on the sensing performance of CSS in a CR network. The simulation results prove the effectiveness of the proposed scheme.

키워드

참고문헌

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피인용 문헌

  1. Coexistence between Wireless Fidelity and Wireless Microphone in TV Band vol.6, pp.3, 2012, https://doi.org/10.3837/tiis.2012.03.008
  2. History based forward and feedback mechanism in cooperative spectrum sensing including malicious users in cognitive radio network vol.12, pp.8, 2011, https://doi.org/10.1371/journal.pone.0183387