电信科学 ›› 2023, Vol. 39 ›› Issue (11): 145-152.doi: 10.11959/j.issn.1000-0801.2023243

• 工程与应用 • 上一篇    

5G远端干扰管理功能研究与智能网络优化

汪汀岚1, 高峰1, 吕沛锦2, 吴泰然1, 李文丽1   

  1. 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
  • 修回日期:2023-11-15 出版日期:2023-11-01 发布日期:2023-11-01
  • 作者简介:汪汀岚(1989- )女,中国移动通信集团设计院有限公司工程师,主要研究方向为无线通信和干扰优化等
    高峰(1975- ),男,中国移动通信集团设计院有限公司正高级工程师,主要研究方向为基站天线、电磁兼容和网优系统研发等
    吕沛锦(1991- ),女,中国移动通信集团云南有限公司工程师,主要研究方向为无线网络优化和网络结构管理
    吴泰然(1991- ),男,现就职于中国移动通信集团设计院有限公司,主要研究方向为无线通信
    李文丽(1996- ),女,现就职于中国移动通信集团设计院有限公司,主要研究方向为无线通信和D2D通信等

5G remote interference management function research and network intelligent optimization

Tinglan WANG1, Feng GAO1, Peijin LYU2, Tairan WU1, Wenli LI1   

  1. 1 China Mobile Group Design Institute Co., Ltd., Beijing 100080, China
    2 Yunnan Branch of China Mobile Communications Group Co., Ltd., Kunming 650228, China
  • Revised:2023-11-15 Online:2023-11-01 Published:2023-11-01

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。

关键词: 5GRIM, 网络智能优化, 智能定位, 干扰规避

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.

Key words: 5G RIM, network intelligent optimization, intelligent localization, interference avoidance

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