Maximum likelihood cooperative spectrum sensing algorithm based on contracted information in cognitive radio systems

To solve the cooperative spectrum sensing problem under constrained control bandwidth in cognitive radio systems, the maximum likelihood cooperative spectrum sensing algorithm based on contracted information is developed in this paper. The contracted information module is used to reduce the network overhead, and the detection based on the Maximum Likelihood (ML) criterion is used to enhance the spectrum sensing performance in the base station. The theoretic analysis and simulation results show that the proposed algorithm can efficaciously improve the spectrum sensing performance with lesser network overhead, especially in the case of the lager discrepancy between the received signal-to-noises of cognitive users.