DocumentCode :
2345809
Title :
Application research of evolution in cognitive radio based on GA
Author :
Zhang, Zhenyu ; Xie, Xiaoyao
Author_Institution :
Guizhou Univ., Guiyang
fYear :
2008
fDate :
3-5 June 2008
Firstpage :
1575
Lastpage :
1579
Abstract :
With the fast development of cognitive radio, best decision problem in cognitive radio receives considerable attention. This paper introduces the research of cognitive radio. Genetic algorithm and itpsilas applications in decision maker are introduced. Based on biologic evolution principle, genetic algorithm can get the system best parameters by dominant character. The cognitive cycle and genetic algorithm are introduced. Based on genetic algorithm, the genes and chromosomes of cognitive are proposed. Under different fitness rules, the cases of biologically inspired cognitive radio are studied. The limitation of Rieserpsilas CR mode based on GA is analyzed. The proposal for improvement is studied.
Keywords :
cognitive radio; decision making; decision theory; genetic algorithms; neural nets; telecommunication computing; Rieserpsilas cognitive radio mode; best decision problem; biologic evolution principle; chromosomes; decision making; fitness rules; genetic algorithm; neural network; Chromium; Cities and towns; Cognition; Cognitive radio; Engines; Evolution (biology); FCC; Genetic algorithms; Laboratories; Software radio; Cognitive Radio; Decision Maker; Evolution; Genetic Algorithm; Neural Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1717-9
Electronic_ISBN :
978-1-4244-1718-6
Type :
conf
DOI :
10.1109/ICIEA.2008.4582784
Filename :
4582784
Link To Document :
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