Design of Learning Engine Based on Support Vector Machine in Cognitive Radio

Author

Huang, Yuqing ; Jiang, Hong ; Hu, Hong ; Yao, YuanCheng

Author_Institution

Inf. Inst. of Southwest, Univ. of Sci. & Technol., Mian Yang, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

Intelligence is the core function of cognitive radio (CR). Intelligence is achieved by learning engine through knowledge acquisition. In this paper, a kind of learning engine is designed based on support vector machine (SVM). The proposed approach is demonstrated by data come from 802.11a protocol platform that the classification and regression results of SVM are very promising which ensure the effectiveness of learning engine. As a result, learning engine based on SVM can acquire knowledge of wireless environment through learning to realize the core function of CR: intelligence.

Keywords

cognitive radio; knowledge acquisition; protocols; support vector machines; wireless LAN; 802.11a protocol platform; cognitive radio; knowledge acquisition; learning engine; support vector machine; Artificial intelligence; Chromium; Cognitive radio; Engines; Frequency; Knowledge acquisition; Learning systems; Machine learning; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5363127

Filename

5363127