Cooperative Spectrum Sensing Under Ambient Malicious Interferences

The presence of malicious interferences in cognitive radio networks can severely degrade the performance of spectrum sensing. In this letter, we propose a cooperative spectrum sensing approach to tackle malicious interferences, where the local signal to interference plus noise power ratios at secondary users are transmitted to a fusion center for making decision. The theoretical performance of the proposed detector, in terms of false-alarm and detection probabilities, is analyzed, and simulation results are provided to validate the theoretical analyses and demonstrate the superior performance of the detector.