Design of Cognitive Engine for CR Based on Least Squares SVM

Cognitive radio (CR) is an intelligent wireless communication system, and its core is to design cognitive engine. This paper presents a design scheme for cognitive engine based on least squares support vector Machine (LS-SVM) to adapt varied wireless environment according to experiential knowledge. A CR simulation cognitive engine is realized on 802.11a simulation platform by collecting data and training the classification and regression model of LS-SVM to learn channel characteristics. Under the premise of studying the sensaed information, a CR reconfiguration is realized according to the user' s needs. The simulation results show that the proposed cognitive engine can effectively realize the learning and reconfiguration function.