It is a mobile communication network control system using AI solution, providing issue prediction, alarm generation service, and convenient analysis environment
Failure detection and alarm
Compare the real-time predicted data with the actual data and generates an alarm when the difference exceeds a threshold |
Improved control accuracy using AI Learning Models
Provide better monitoring results than rule-based comparison by using the predicted results through AI learning |
Reduce analysis time and support in-depth analysis
By providing equipment and local information, the cause can be quickly identified, and in-depth analysis using the detailed analysis module is also supported. |
Learning Data
ATAS Quality Indicator(KPI_META) |
Learning Type
Unsupervised learning |
Development/Utilization Model
GRU AutoEncoder |
Technology Application/API
TensorFlow, Keras |
Technology applied to
KT AI/STN NW Control System |
