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

Authors :
Do-Young Kwak
Sunghyun Kim
Young Seok Kim
Dongkyu Sim
Jong-Sik Lee
Yeon-Jea Cho
Source :
ICTC
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

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 globa/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.

Details

Database :
OpenAIRE
Journal :
2019 International Conference on Information and Communication Technology Convergence (ICTC)
Accession number :
edsair.doi...........92455f2927ff99640b313c1f3b4d345b
Full Text :
https://doi.org/10.1109/ictc46691.2019.8939988