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

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.