Research on Intelligent Cooperative Spectrum Sensing Mechanism in Cognitive Radio Networks

As a smart object, cognitive radio should have the ability of intelligent learning and decision-making. To fully exploit the intelligence of the cognitive users, an intelligent cooperative spectrum sensing mechanism is proposed, in which cooperative spectrum sensing model is converted into a multi-classifier fusion model based on fuzzy integral. Every secondary user is viewed as a separate support vector machine classifier. Sampling data obtained during sensing periods will be used as the input of the classifier. And the probability output of the classifier will be sent to the fusion center, where fuzzy integral algorithm is carried to get the final sensing results. The ability of learning in spectrum sensing stage and intelligent decision-making in information fusion stage are fully reflected in this mechanism. And simulation results further show that the proposed mechanism has higher detection probability and lower false alarm probability than a single classifier model.