移动通信2025，Vol.49Issue(11)：124-129,6.DOI:10.3969/j.issn.1006-1010.20240110-0001
面向移动通信网络的窄带干扰分级识别与定位方法
Hierarchical Recognition and Localization Method for Narrowband Interference in Mobile Communication Networks
陆南昌 1刘大洋 1吴宝栋 1唐国顺 1田梦晗1
作者信息
- 1. 中国移动通信集团广东有限公司,广东 广州 510623
- 折叠
摘要
Abstract
Mobile communication networks are highly susceptible to external narrowband interference,resulting in performance degradation and impaired user experience.Given the industry's lack of simple and universal methods for narrowband interference identification and localization,comprehensive analysis and processing of the severe impacts caused by narrowband interference remain challenging.This paper proposes a universal multi-mode multi-vendor standardized format,conducting slice analysis at the physical resource block level and introducing adjacency matrices for deep searching.Through configurable interference feature recognition algorithms,the method precisely identifies interference source locations based on interference characteristics,cell features,and location information using the FP-Growth algorithm.Field tests in live networks demonstrate that this method reduces the difficulty of interference analysis while improving the localization accuracy of interference sources from the previous two to three kilometers to within 20 meters.关键词
FP-Growth/深度搜索/窄带干扰/干扰切片/干扰矩阵Key words
FP-Growth/deep search/narrowband interference/interference slicing/interference matrix分类
信息技术与安全科学引用本文复制引用
陆南昌,刘大洋,吴宝栋,唐国顺,田梦晗..面向移动通信网络的窄带干扰分级识别与定位方法[J].移动通信,2025,49(11):124-129,6.
