摘要
针对长期演进(long term evolution,LTE)网络中由于用户移动速度不同导致系统切换失败率高的问题,提出了基于移动用户分组设置切换参数的优化方案。建立了用户移动模型,利用用户参考信号强度值来估算用户移动速度;利用遗传算法的编码、选择以及交叉变异3个步骤对移动特性相似的用户进行分组,得到不同的分组速度,对不同分组的用户设置不同切换参数。仿真结果表明,该优化方案可以获得良好的鲁棒性,减少了无线链路失败率和切换失败率,降低了用户掉话率。
The diversity of mobile user equipment( UE) speed may cause high rate of handover( HO) failure. In order to solve this problem,we can group the different speeds of UEs and set different HO parameter. Mobile user model is established first,and then we use the cell-specific reference signal intensity values to estimate the user's movement speed. Secondly,we reuse three steps of genetic algorithm coding,crossover and mutation on the mobile characteristic selection and grouping similar users to get a different group velocity. Lastly,we set different HO parameters refer to the grouping users.According to the simulation verification,this plan can provide greater mobile robustness( MR) and reduce wireless line failure( RLF) and HO failure.
出处
《重庆邮电大学学报(自然科学版)》
CSCD
北大核心
2015年第6期751-757,共7页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
国家高技术研究发展计划("863"计划)(2014AA01A701)
国家科技重大专项(2014ZX03003010-004)~~
关键词
长期演进
切换
分组
速度估计
遗传算法
鲁棒性
long term evolution
handover
grouping
speed estimating
genetic algorithm
robustness