Cooperative Spectrum Sensing Under Ambient Malicious Interferences
RIS ID
118038
Abstract
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.
Grant Number
ARC/DE120101266
Publication Details
M. Sun, M. Jin, Q. Guo & Y. Li, "Cooperative Spectrum Sensing Under Ambient Malicious Interferences," IEEE Communications Letters, vol. 22, (2) pp. 432-435, 2018.