Intelligent cognitive radio: Research on learning and evaluation of CR based on Neural Network

Author

Zhang, Zhenyu ; Xie, Xiaoyao

Author_Institution

Guizhou Univ., Guiyang

fYear

2007

fDate

16-18 Dec. 2007

Firstpage

33

Lastpage

37

Abstract

This paper introduces the research of cognitive engine and application of artificial intelligence techniques in cognitive radio. The limitation of CR engine based on GA is analyzed, propose for improvement is proposed. The decision maker of CR engine should consider both the changeable factors and the unchangeable factors such as cost, bandwidth, signal rate and ARQ. Based on Neural Network, the method of evaluating and learning best decision is proposed. Several key architectural issues for cognitive radio engine based on Neural Network are discussed, including knowledge base information model and learning model Neural Network design.

Keywords

cognitive radio; genetic algorithms; knowledge based systems; neural nets; telecommunication computing; GA; artificial intelligence techniques; intelligent cognitive radio; knowledge base information model; learning best decision; neural network; Artificial intelligence; Artificial neural networks; Bandwidth; Chromium; Cognitive radio; Costs; Engines; Intelligent networks; Learning; Neural networks; Artificial Intelligence; Cognitive Radio; Cognitive Radio Engine; Genetic Algorithms; Neural Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Communications Technology, 2007. ICICT 2007. ITI 5th International Conference on

Conference_Location

Cairo

Print_ISBN

978-1-4244-1430-7

Type

conf

DOI

10.1109/ITICT.2007.4475612

Filename

4475612