Radio Link Failure Prediction | AI/ML IN 5G CHALLENGE

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Cloud, rain, snow, and other weather-related phenomena affect the performance of radio links. This is especially applicable to backhaul links operating at GHz frequencies. A generic regional weather forecast data is available which lists expected conditions and coarse temperatures along with actual –precise– realizations. Adding to the complexity are the spatial nature of the data (regions of weather data and RLF needs to be aligned) as well as the time sync needed to correlate various occurrences. Over a period of time, we have compiled and anonymised region-wise data which corresponds to weather forecasts, radio link performances and radio link failures derived from our networks. Given the region-wise, historical data sets derived from our networks and weather forecasts from the meteorology stations predict the occurrence of radio link failures i) in the next day and ii) in the following 10 days.

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