The application of fuzzy neural network in cognitive radio network

This paper propose a cluster-based cooperative spectrum sensing method to improve the sensing performance in cognitive radio network. By way of separating all the secondary users into a few clusters and selecting the most favorable one in each cluster to report to the common control channel, sensing environment traits in each cluster are cooperative detected by several cognitive radio nodes and local adaptive fusion with multi-cognitive radio nodes based on fuzzy neural network(FNN) is proposed, this method can improve the user detection probability so that the sensing performance can be greatly enhanced.