An automatic optimization method based on LTE-MR deterioration scene pattern recognition

徐桦

doi:10.13992/j.cnki.tetas.2016.10.005

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An automatic optimization method based on LTE-MR deterioration scene pattern recognition

更新时间：2026-04-21

- An automatic optimization method based on LTE-MR deterioration scene pattern recognition
- Vol. 29, Issue 10, Pages: 18-21(2016)
- 作者机构：
  
  中国移动通信集团湖北有限公司
- 作者简介：
- 基金信息：
- DOI：10.13992/j.cnki.tetas.2016.10.005
  CLC： TN929.5
- Published：2016
- 稿件说明：
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[1]徐桦.一种基于LTE-MR劣化场景模式识别的自动优化方法[J].电信工程技术与标准化,2016,29(10):18-21.

徐桦. An automatic optimization method based on LTE-MR deterioration scene pattern recognition[J]. 2016, 29(10): 18-21.
[1]徐桦.一种基于LTE-MR劣化场景模式识别的自动优化方法[J].电信工程技术与标准化,2016,29(10):18-21. DOI： 10.13992/j.cnki.tetas.2016.10.005.

徐桦. An automatic optimization method based on LTE-MR deterioration scene pattern recognition[J]. 2016, 29(10): 18-21. DOI： 10.13992/j.cnki.tetas.2016.10.005.

摘要

要进行LTE网络的精细优化必须依赖于对覆盖和干扰的地理分布精确掌握。本文基于MR数据建立精确定位干扰矩阵

形成从覆盖、干扰、用户、空间、时间等多维度定位网络问题的MR分析方法。基于模式识别理论和MR数据的精确定位分析

智能识别出覆盖和干扰的场景

针对这些问题场景通过迭代算法自动生成相应的优化策略。

Abstract

Fine optimization to be LTE network must rely on the geographical distribution coverage and interference precise grasp. In this paper

the establishment of precise positioning interference matrix based on MR data

formed from the cover positioning

interference

users

space

time and other multi-dimensional analysis of network problems MR. Based on precise positioning of pattern recognition theory and MR data analysis

identification of the scene coverage and interference scenes automatically generate the appropriate optimization strategies to address these issues through an iterative algorithm.

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Keywords

references

基于MR大数据的LTE网络结构评估方法 [J]. 李昶,华志超,刘猛. 电信工程技术与标准化 . 2015(11)

基于全量测量报告的TD-LTE网络覆盖分析 [J]. 付航. 电信工程技术与标准化 . 2015(08)

基于MR数据的上下行不平衡优化分析 [J]. 何国华. 电信技术 . 2013(03)

TD-LTE网络优化探讨 [J]. 卢卓君,彭陈发,岑曙炜. 电信技术 . 2012(07)

高速公路WCDMA网络的快速优化——利用MR数据 [J]. 邓巍,谢浩. 移动通信 . 2012(13)

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