Title :
The application of fuzzy neural network in cognitive radio network
Author :
Zhi Xiyun ; Xu Sen ; He Zhiqiang ; Wu Weiling
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
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.
Keywords :
cognitive radio; fuzzy neural nets; pattern clustering; telecommunication computing; cluster based cooperative spectrum sensing method; cognitive radio network; common control channel; environment traits; fuzzy neural network; local adaptive fusion; user detection probability; Ad hoc networks; Adaptive systems; Cognitive radio; Frequency division multiaccess; Fuzzy neural networks; Sensors; Time division multiple access; cluster; cognitive radio network; cooperative spectrum sensing; fuzzy neural network;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6011120