A Robust Cooperative Spectrum Sensing Based on Kullback-Leibler Divergence

DOI Web Site BIBCODE 12 References
  • VU-VAN Hiep
    School of Electrical Engineering, University of Ulsan
  • KOO Insoo
    School of Electrical Engineering, University of Ulsan

Search this article

Description

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.

Journal

References(12)*help

See more

Keywords

Details 詳細情報について

Report a problem

Back to top