Title :
Channel and Modulation Selection Based on Support Vector Machines for Cognitive Radio
Author :
Xu, Gang ; Lu, Yourong
Abstract :
Channel and modulation selection strategy is an import factor for cognitive radio. In many conditions there are some different channels and modulation methods for the radio to choose. The strategy based on support vector machines is proposed for cognitive radio. The cost of each chosen method grade by a fuzzy function is the input data and the algorithm can decide witch method is the best one, as the expert system. This algorithm is the computational intelligence application in cognitive radio
Keywords :
cognitive radio; expert systems; fuzzy set theory; modulation; support vector machines; telecommunication computing; channel-modulation selection strategy; cognitive radio; computational intelligence application; expert systems; fuzzy function; support vector machines; Chromium; Cognitive radio; Computational intelligence; Cost function; Expert systems; FCC; Frequency; Linear programming; Radio spectrum management; Support vector machines;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2006. WiCOM 2006.International Conference on
Conference_Location :
Wuhan
Print_ISBN :
1-4244-0517-3
DOI :
10.1109/WiCOM.2006.181
