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ITU AI/ML in 5G Challenge Webinar: Radio Link Failure Prediction - Shared screen with speaker view
Thomas Basikolo - ITU
45:46
Thank you very much for joining today's webinar. If you have questions, please type in the Q&ASelect problem statements: https://2ja3zj1n4vsz2sq9zh82y3wi-wpengine.netdna-ssl.com/wp-content/uploads/2021/05/Problem_statements_2021_v1d.docxChallenge Website: https://aiforgood.itu.int/ai-ml-in-5g-challenge/Today’s event page: https://aiforgood.itu.int/events/radio-link-failure-prediction/Next event/webinar: https://aiforgood.itu.int/events/understanding-how-people-move-using-modern-civilian-radar/Join our Slack Channel to keep updatedhttps://join.slack.com/t/itu-challenge/shared_invite/zt-eql00z05-CXelo7_aL0nHGM7xDDvTmA
Vishnu Ram
01:06:56
TO PANELISTS ONLY : Salih, could you please take this question - Pity, in your references I see many external references, but none of the references to ITU-R P-series recommendations or reports. Have you used any of them? In ITU-R SG 3 we have an extensive database of measurements that was/is used to develope radiowave propagation prediction methods, inlcuding all of those phenomena you are mentioning. Have you also considered may to contribute your measurements to ITU-R SG3?
umesh piparava
01:12:04
is this data set from lte du ?
M N Suma
01:19:46
Thank you
Danielle Alice Desanges Aucéane THIAM MÉKÀ de GOGUENHEIM
01:20:07
Thanks to you all, gentlemen