期刊文献+

基于粒子群优化的移动通信功率控制方法

An Approach to Power Control in Mobile Communication with PSO Algorithm
下载PDF
导出
摘要 功率控制技术是移动通信中最为关键的技术之一,在分析移动通信的功率控制模型基础上,提出基于改进的粒子群优化(PSO)算法的功率控制方法,主要包括功率控制模型的建立,PSO寻优求解等过程.仿真实验表明,采用改进的PSO算法可以完成功率控制,大大提高工作效率;此外,基于业务优先级的功率控制模型在应用中更符合实际情况. Power control technology is one of the key technologies in mobile communications. On the basis of analysis on power control model, an approach to power control is presented based on the improved particle swarm optimization (PSO) algorithm', which includes building power control model, optimizing and solving the model by PSO. Simulation experiments show that using the improved PSO algorithm can finish the power control and highly improve work efficiency, in addition, the power control model based on the service priority is more consistent with the actual situation in aoolication.
作者 夏太武
出处 《邵阳学院学报(自然科学版)》 2014年第1期29-32,共4页 Journal of Shaoyang University:Natural Science Edition
基金 湖南省教育厅资助项目(10C1187)
关键词 功率控制 改进模型 粒子群算法 power control improved model particle swarm optimization
  • 相关文献

参考文献9

二级参考文献33

  • 1李爱国.多粒子群协同优化算法[J].复旦学报(自然科学版),2004,43(5):923-925. 被引量:398
  • 2陈国初,徐余法,李承阳.微粒群优化算法参数性能实验分析[J].上海电机学院学报,2007,10(2):86-92. 被引量:3
  • 3DejanSunderic Tomwoodhead著 熊桂喜译.SQL Server 2000高级编程技术【M】.北京:清华大学出版社,2002..
  • 4赫梅尔著 严静东译.VisualBasic高效编程,改进VB/COM+应用程序[M].北京:清华大学出版社,2004..
  • 5Eberhart R,Kennedy J.A new optimizer using particle swarm theory[C]//Proc 6th Int Symposium on Micro Machine and Human Science.Nagoya, Japan : Nagoya Municipal Industrial Research Institute, 1995 : 39-43.
  • 6Fujimoto R.Parallel discrete event simulation[J].Communications of ACM, 1990,33 (10) : 30-53.
  • 7Fujimoto R,Perumalla K,Park A.Large-scale network simulation: How big?How fast?[C]//Proceedings of the 11th IEEE/ACM International Symposium on Modeling,Analysis and Simulation of Computer Telecommunications Systems, Orlando, Florida, 2003.
  • 8Shi Y,Eberhart R.Fuzzy adaptive particle swarm optimization[C]// Proc of the Congress on Evolutionary Computation.Seoul,Korea: [s.n.], 2001 : 101-106.
  • 9[1]Kennedy J,Eberhart R.Particle swarm optimization[C]//IEEE Proceedings.IEEE Int Conf on Neural Networks.Perth:IEEE,1995:1492-1948.
  • 10[2]Ray T,Liew K M.A swarm with effective information sharing mechanism for unconstrained and constrained single objective optimization problems[C]//IEEE Proceedings.IEEE Int Conf on Evolutionary Computation.Seoul:IEEE,2001:75-80.

共引文献18

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部