Research on learning and evaluation of CR based on neural network
基于神经网络的感知无线电学习与评估研究*

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