AI-Enabled Wireless KPI Monitoring and Diagnosis System for 5G Cellular Networks

被引:0
作者
Cho, Yeon-Jea [1 ]
Kim, Young-Seok [1 ]
Kim, Sunghyun [1 ]
Sim, Dongkyu [1 ]
Kwak, Doyoung [1 ]
Lee, Jongsik [1 ]
机构
[1] Korea Telecom KT R&D Ctr, Infra R&D Lab, Seoul, South Korea
来源
2019 10TH INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC): ICT CONVERGENCE LEADING THE AUTONOMOUS FUTURE | 2019年
关键词
5G; LTE; AI; wireless KPI monitoring; problem diagnosis; machine learning; deep learning;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper introduces a novel AI framework for nationwide wireless KPI monitoring and its diagnosis in LTE/5G mobile networks. The proposed method, which has not been provided so far for a commercial use, automatically detects meaningful degradations of cell-specific wireless KPI statistics and also provides an alarm to administrator with possible causes of the corresponding problem. Machine learning and deep learning technologies are properly applied to detect relative KPI degradations on the basis of those estimated global/local PDFs and also to carry out root cause analysis for the problem diagnosis, respectively. We have confirmed the feasibility of the mentioned AI framework by completing a first PoC through interworking our AI server with commercial LTE/5G networks. Currently, about 20 major monitoring KPIs such as RRE, ENDC, RSSI, BLER, and so on are being considered in current 5G NSA mode.
引用
收藏
页码:899 / 901
页数:3
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