5G remote interference management function research and network intelligent optimization

Tinglan WANG; Feng GAO; Peijin LYU; Tairan WU; Wenli LI

doi:10.11959/j.issn.1000-0801.2023243

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5G remote interference management function research and network intelligent optimization

Engineering and Application | 更新时间：2024-06-05

- 5G remote interference management function research and network intelligent optimization
- Telecommunications Science Vol. 39, Issue 11, Pages: 145-152(2023)
- 作者机构：
  
  1. 中国移动通信集团设计院有限公司，北京 100080
  2. 中国移动通信集团云南有限公司，云南昆明 650228
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023243
  CLC： TN929.5
- Published Online：2023-11，
  
  Published：20 November 2023
- 稿件说明：
移动端阅览
Tinglan WANG, Feng GAO, Peijin LYU, et al. 5G remote interference management function research and network intelligent optimization[J]. Telecommunications science, 2023, 39(11): 145-152.
DOI：

Tinglan WANG, Feng GAO, Peijin LYU, et al. 5G remote interference management function research and network intelligent optimization[J]. Telecommunications science, 2023, 39(11): 145-152. DOI： 10.11959/j.issn.1000-0801.2023243.

摘要

为了对抗大气波导干扰对5G网络的影响，3GPP定义了远端干扰管理（remote interference management，RIM）的相关功能。基于此功能，研究了大气波导标识号（set identity document，SetID）与基站标识号（the next generation node B identity document，gNBID）的自动化映射方案，实现了SetID在不同大气波导干扰区域的复用，实现了效率与唯一性的中和。分析基站远端干扰测量数据，总结了大气波导干扰智能定位与识别方法，并且实现了施扰源基站的智能网络优化流程。为5G大气波导干扰的靶向治理提供了有效的操作方案，解决大气波导干扰对5G行业发展的制约。

Abstract

To mitigate the impact of tropospheric radio-duct interference on 5G network

3GPP has defined functionalities for remote interference management.Based on this functionality

an automated scheme for SetID and gNBID was developed

enabling the reuse of SetID in different tropospheric radio-duct interference regions

striking a balance between efficiency and uniqueness.By analyzing remote interference measurement data from base stations

an intelligent localization and identification method for tropospheric radio-duct interference was summarized.An intelligent network optimization process for identifying the aggressor base stations was created and successfully validated in the network.An effective operational plan was provided for management of 5G tropospheric radio-duct interference

alleviating the constraints on the development of the 5G industry caused by the interference.

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