Radio Link Failure Prediction
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.
Speakers, Panelists and Moderators
EVREN TUNA5G R&D ExpertTurkcellEvren Tuna has nearly 8 years of experience in the telecommunication industry. He has worked in positions related to Core domain in both mobile and fixed networks at Turkcell (Izmir and Istanbul, Turkey). He currently worksas 5G R&D Expert at Turkcell 5G R&D team in Istanbul. He is pursuing PhD in Electrical and Electronics Engineering at Bahcesehir University (Istanbul, Turkey) with a thesis on “Recurrent Neural Networks Assisted Network Slicing in 5G and Beyond Networks”. He received both his BSc and MSc degrees in Electronics and Communication Engineering from Izmir Institute of Technology (Izmir, Turkey). His research interests include Artificial Intelligence, 5G and Beyond Networks, Network Slicing, Edge Computing and Private Networks.