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中文会议>2011年亚太青年通信学术会议(APYCC2011)
>Malicious Secondary Users Detection Based on Spectral Clustering for Cooperative Spectrum Sensing in Cognitive Radio
Malicious Secondary Users Detection Based on Spectral Clustering for Cooperative Spectrum Sensing in Cognitive Radio
Cognitive Radio is the most effective technology to deal with the contradiction between limitedspectrum radio resources and rapid growth of the traffic of wireless communications, and has been a hot issue.Cooperative spectrum sensing is a key scheme in the field of spectrum sensing, however, the effect will belargely degraded because of malicious SUs and malfunctioning SUs in cognitive radio network. Several me-thods proposed to mitigate the effects of malicious SUs on CSS, like Parameter Estimate, Weighted SequentialProbability Ratio Test and Outlier are shown to be effective. However, the disadvantage of methods proposedis high time complexity and relaying on the fusion center excessively. Considering the method of spectrum clustering,a new perspective proposed can separate malicious SUs from trusted ones under two mathematical models ofmalicious SUs：static unchanging behavior and dynamic changing behavior. Simulation results show spectrumclustering works well on the issue.
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