Mobility Robustness Optimization in LTE-Advanced System

Rongyi Hu; Mugen Peng; Hongyan Zhang; Yuan Li

doi:10.3969/j.issn.1000-0801.2013.05.015

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Mobility Robustness Optimization in LTE-Advanced System

research and development | 更新时间：2024-06-05

- Mobility Robustness Optimization in LTE-Advanced System
- Telecommunications Science Vol. 29, Issue 5, Pages: 84-89(2013)
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- DOI：10.3969/j.issn.1000-0801.2013.05.015
  CLC：
- Published Online：2013-05，
  
  Published：15 May 2013
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Rongyi Hu, Mugen Peng, Hongyan Zhang, et al. Mobility Robustness Optimization in LTE-Advanced System[J]. Telecommunications science, 2013, 29(5): 84-89.
DOI：

Rongyi Hu, Mugen Peng, Hongyan Zhang, et al. Mobility Robustness Optimization in LTE-Advanced System[J]. Telecommunications science, 2013, 29(5): 84-89. DOI： 10.3969/j.issn.1000-0801.2013.05.015.

摘要

网络自优化技术目前成为移动通信网络性能研究的热点。随着移动通信技术和业务的飞速发展，移动顽健性日益成为用户体验关注的重点，尤其是移动蜂窝通信网络中的切换失败、用户掉话、通信质量差等一系列问题。为解决此类切换带来的用户体验和系统移动顽健性下降问题，针对一种面向切换事件和切换场景的移动顽健性优化算法（MRO算法），以用户掉话率作为性能评价标准，分别在同构和异构网络下，综合考虑切换事件和不同切换失败场景（过早切换、过晚切换、乒乓切换）的特点优化调整切换参数，并采用系统级仿真进行了性能比较。仿真结果表明，加入MRO算法后，同构场景的掉话率从10.9%下降到6.2%，异构场景的掉话率从11.3%下降到6.3%，整体性能得到大幅提升。

Abstract

Self-optimization network has already become the hotspot of the mobile communication study. With the rapid development of mobile communication technology，mobility robustness has increasingly been focused on by of the users，especially the problems such as the handover failure，users’ dropped calls and poor communication quality of the mobile cellular communication network. In order to improve users’ experience and communication robustness，an algorithm was proposed，by which the mobility robustness was improved and handover parameters were optimized，taking consideration of the characteristics of handover events and different handover failure scenarios like early handover，late handover and ping-pong handover. The rate of users’ dropped call was taken as the performance indicator，and the performances through system-1evel simulation were analyzed. Simulation results show that，owing to the mobility robustness optimization algorithm，dropped call rate is absolutely reduced from 10.9% to 6.2% in the homogeneous network and from 11.3% to 5.3% in the heterogeneous network，and the overall performance has been highly improved.

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references

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