Reliable cooperative wideband spectrum sensing based on Entropy estimation

In Cognitive Radio (CR), spectrum sensing is an essential concept. It exploits the inefficient utilization of Radio spectrum without deteriorating the Quality of Service (QOS) of licensed/primary user communication. This paper presents the cooperative wideband spectrum sensing technique based on entropy estimation in each subband under probable channel impediments. We have proposed generalized extreme studentized deviate (GESD) test to exclude multiple suspicious cognitive users for reliable cooperative sensing. The simulation results show that the entropy detection method outperforms the energy detection method. It achieved 8dB average signal-to-noise ratio (SNR) improvement while maintaining a false alarm probability of 0.01 and a detection probability of 0.9. The proposed sensing algorithm by excluding suspicious CR is able to detect low average SNR signals of -18.5dB under path loss environment using ten cognitive users in cooperation.