Radio Link Failure Prediction | AI/ML IN 5G CHALLENGE
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.
🔴 Watch the latest #AIforGood videos:
Explore more #AIforGood content:
1️ ⃣ • Top Hits
2️ ⃣ • AI for Good Webinars
3️ ⃣ • AI for Good Keynotes
📅 Discover what's next on our programmhttps://aiforgood.itu.int/programme/me/
Social Media:
Websithttps://aiforgood.itu.int/nt/
Twittehttps://twitter.com/ITU_AIForGoodd
LinkedIn Paghttps://www.linkedin.com/company/265119077
LinkedIn Grouhttps://www.linkedin.com/groups/85677488
Instagrahttps://www.instagram.com/aiforgoodd
Faceboohttps://www.facebook.com/AIforGoodd
What is AI for Good?
The AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact.
Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.