Autonomous Anomaly Detector for Cloud-Radio Access Network Key Performance Indicators

In this demonstration, we present an autonomous anomaly detector for Cloud Radio Access Network (C-RAN) performance metrics through a prototype using OpenAirInterface implemented as Docker containers. First, we show network slicing configuration capabilities including slice lifecycle management in addition to devices re-homing through our developed northbound interface allowing to manage a software-defined radio access network controller. Next, using conventional off-the-shelf smartphones, we run experiments to present the real-time data display in addition to the instant detection of anomalies in time-series C-RAN data. We demonstrate a reaction to such detection through the auto-trigger of planned responses.