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Programme

ITU Workshop on "Machine Learning for 5G and beyond"
Geneva, Switzerland, 29 January 2018

Contact: tsbevents@itu.int
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Day 1, 29 January, 2018

08:30 - 09:30	Registration
09:30 - 09:40	Welcome and Opening Remarks Welcome remarks: Chaesub Lee (Director, ITU Telecommunication Standardization Bureau) [ Biography ] Opening remarks: Slawomir Stanczak (Fraunhofer HHI) [ Biography ]
09:40 - 11:20	Session 1: Use Case and Applications Moderator: Slawomir Stanczak [ Biography ] *Machine Learning for Decentralized and/or Flying Radio Devices,* David Gesbert (Eurecom) [ Biography I Presentation ] *5G for Automated Driving 2.0,* Ahmad El Assaad (VW) [ Biography ] *Use cases and requirements of network intelligence,* Yong-Geun Hong (ETRI) [ Biography I Presentation ] *AI Applications in telecommunication network,* Qiang Cheng (AIIA (CAICT)) [ Biography I Presentation ]
11:20 - 11:40	Coffee Break
11:40 - 13:20	Session 2: Challenges and Opportunities Moderator: Kim Mahler *Some Thoughts on Machine Learning for Communications,* Jakob Hoydis (Nokia) [ Biography ] *Mobile AI: Challenges and Opportunities,* Merouanne Debbah (Huawei) [ Biography I Presentation ] *Efficient Deep Learning in Communications,* Wojciech Samek (Fraunhofer HHI) [ Biography I Presentation ] *Challenges of ML Usage for 5G Network Enhancement,* Ridha Hamila (Qatar University) [ Biography ]
13:20 - 14:20	Lunch Break
14:20 - 16:00	Session 3: Operations and Networks Moderator: Wojciech Samek [ Biography ] *Network Operations Intelligence,* Seongbok Baik (KT) [ Biography I Presentation ] *A mobile operator perspective on Machine Learning,* Salih Ergut (Turkcell) [ Biography I Presentation ] *AI promoting smart networks,* Wei Meng (ZTE) [ Biography I Presentation ] *AI functionality options in 5G networks,* Heiko Lehmann (Deutsche Telekom) [ Biography ]
16:00 - 16:20	Coffee Break
16:20- 18:00	Session 4: Methods and Enablers Moderator: Seongbok Baik [ Biography ] *Machine Learning for 5G and Beyond: Towards Reliable and Efficient Reconstruction of Radio Maps ,* Slawomir Stanczak (Fraunhofer HHI) [ Biography I Presentation ] *Reinforcement learning for wireless network optimization,* Deniz Gunduz (Imperial College London) [ Biography I Presentation ] *Using the information control networks (ICN) as a test area for searching for effective methods of machine learning in the networks of the future generation,* Viliam Sarian (NIIR - Russian Federation) [ Biography I Presentation ] *Artificial Intelligence and Machine Learning,* by Elena Ehrlich Amazon Web Services [ Biography I Presentation ] *Machine Learning for 5G Self Organized Network*, Altaf Shaik, TUB [ Presentation ]
18:00	Wrap-up and Closing Session

*To be confirmed