ITU AI/ML in 5G Challenge: Radio Link Failure Prediction Challenge
Stable and high-quality internet connectivity is mandatory to 5G mobile networks, but once something unexpected happens, the influence of the defect is quite severing. The talk will describe the problem ITU-ML5G-PS-036, Using weather info for radio link failure (RLF) prediction. This problem is about how to predict radio link failure using weather information and network KPIs. Then, the dataset will be described together with the goals of the challenge. Participants are required to create a Machine Learning model to pinpoint the network status of failures and mis-operation using the provided data sets and evaluate the performance of the developed model.