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

fYear

2011

fDate

8-10 Aug. 2011

Firstpage

7310

Lastpage

7316

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/AIMSEC.2011.6011120

Filename

6011120