Alarm Prediction in LTE Networks

Antenna line alarms are a significant indicator for failing components in LTE base stations. By predicting such alarms it is possible to prepare for system repairs or for system resets in advance, which reduces the maintenance downtime for LTE operators when a hardware failure actually occurs. In this paper we present results from an antenna line alarm prediction method in a real LTE network. The prediction model is based on the behavior of a large set of performance counters (PMs) collected in a timeseries in the LTE base stations. We create the alarm prediction model by using the random forest search method and we reach and accuracy of 67-72% From this, we pinpoint the most influential PMs for predicting different types of alarms and we discuss how to use these PMs in future research.