| LTE系统基于移动用户分组的切换优化 |
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| 引用本文： | 冉启飞,唐伦,陈前斌.LTE系统基于移动用户分组的切换优化[J].重庆邮电大学学报(自然科学版),2015,27(6):751-757. |
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| 作者姓名： | 冉启飞 唐伦 陈前斌 |
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| 作者单位： | 重庆邮电大学移动通信重点实验室 重庆400065 |
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| 基金项目： | 国家高技术研究发展计划(“863”计划)(2014AA01A701)；国家科技重大专项（2014ZX03003010-04) |
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| 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.
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| 关 键 词： | 长期演进 切换 分组 速度估计 遗传算法 鲁棒性 |
| 收稿时间： | 2014/12/10 0:00:00 |
| 修稿时间： | 2015/10/25 0:00:00 |
Handover optimizing based on mobile user equipment grouping in LTE system |
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| RAN Qifei,TANG Lun and CHEN Qianbin.Handover optimizing based on mobile user equipment grouping in LTE system[J].Journal of Chongqing University of Posts and Telecommunications,2015,27(6):751-757. |
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| Authors: | RAN Qifei TANG Lun and CHEN Qianbin |
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| Institution: | Key Lab of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China,Key Lab of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China and Key Lab of Mobile Communication Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R. China |
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| Abstract: | 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. |
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| Keywords: | long term evolution handover grouping speed estimating genetic algorithm robustness |
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