ITU AI/ML in 5G Challenge: Radio Link Failure Prediction Challenge

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  • Date
    22 July 2020
    Timeframe
    14:00 - 15:00 CEST, Geneva
    Duration
    60 minutes
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    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.