A Cognitive Engine Based on Case-based Reasoning Quantum Genetic Algorithm

摘要：

　　A cognitive engine is the key module of cognitive radio.To increase the speed of the cognitive engine,a case-based reasoning quantum genetic algorithm (CBR-QGA) is proposed.And a cognitive engine using CBR-QGA is presented to adjust and optimize the radio parameters.The environmental variation factor(EVF) is used to measure the similarity between the current problems and the storage cases.The initial quantum bit is composed of the parameters of the matching case and EVF so as to avoid the blindness of initial population searching and speed up the optimization of quantum genetic algorithm.Simulation results of multi-carrier system show that the proposed cognitive engine algorithm is much better than current algorithms in both the convergence rate and the optimization capability.

关键词： Cognitive radio Cognitive engine case-based reasoning quantum genetic algorithm

作者: Zhi-jin Zhao Hai-chao Lai

作者单位: School of Telecommunication Engineering of Hangzhou Dianzi University Hangzhou Zhejiang

会议类型: 国际会议

会议名称: 2012 IEEE 14th International Conference on Communication Technology(2012年第十四届通信技术国际会议(ICCT 2012))

会议地点: 成都

会议语种:英文

页码: 314-318

在线出版日期: 2012-11-09（万方平台首次上网日期，不代表论文的发表时间）