首页 | 本学科首页   官方微博 | 高级检索  
     检索      

认知无线电系统中基于量子粒子群算法的PHY层及MAC层决策优化
引用本文:薛周成,吕军慰,倪蕾.认知无线电系统中基于量子粒子群算法的PHY层及MAC层决策优化[J].现代电子技术,2010,33(5):47-50,54.
作者姓名:薛周成  吕军慰  倪蕾
作者单位:1. 军械工程学院,河北,石家庄,050003
2. 中国人民解放军61541部队,北京,100094
基金项目:中国人民解放军军内科研项目 
摘    要:认知无线电技术是下一代通信发展的方向和趋势,同时也是目前通信研究中的热点问题。针对认知无线电系统中,在某一信道条件下其通信系统的物理层(PHY)和媒体链路层(MAC)的基于多个目标来实现优化的问题,基于量子粒子群算法的基本思想,把量子粒子群算法引入认知无线电系统中,并对该算法进行适当的改进,最后基于WSGA控制对电台优化问题进行了仿真,通过仿真证明了其有效性。

关 键 词:认知无线电  量子粒子群  多目标优化  物理层  媒体链路层

Goals Optimization Based on Quantum Crowd Particle Algorithm in PHY Layer and MAC Layer in Cognitive Radio System
XUE Zhoucheng,LV Junwei,NI Lei.Goals Optimization Based on Quantum Crowd Particle Algorithm in PHY Layer and MAC Layer in Cognitive Radio System[J].Modern Electronic Technique,2010,33(5):47-50,54.
Authors:XUE Zhoucheng  LV Junwei  NI Lei
Institution:XUE Zhoucheng1,LV Junwei1,NI Lei2(1.Ordnance Engineering College,Shijiazhuang,050003,China,2.Unit 61451 of the PLA,Beijing,100094,China)
Abstract:Cognitive radio technology is tendency and the direction of future communication development,it is also the focus of the communication research.Aimming at solving the problem of goals optimization under certain channel condition in its physical layer and medium link layer in cognitive radio system.The problems of goals optimization problem in cognitive radio based on the basic thoughts of quantum particle crowd algorithm are solved and thoughts of quantum particle crowd algorithm in the cognitive radio syst...
Keywords:cognitive radio  quantum crowd particle algorithm  goals optimization  PHY layer and MAC layer  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号