Results for the ITU AI/ML in 5G Challenge
- Unrestricted Problem Statements
- Teams that are shown in red will make presentation at the Grand Challenge Finale (Final Conference), scheduled on 15 - 17 Dec., 2020
-
ITU-ML5G-PS-012: ML5G-PHY Beam-Selection (UFPA - Brazil)
Rank
| Team-Name
| 1
| BeamSoup
| 2
| Imperial_IPC1
| 3
| NU Huskies
| 4
| Data Explorers
| 5
| Certain
| 6
| CURB
| 7
| Tanguy Ropitault
| 8
| SIM
| 9
| SRIBeamers
|
| ITU-ML5G-PS-014: Graph Neural Networking Challenge 2020 (BNN-UPC - Spain)
Rank
| Team-Name
| 1
| Steredeg
| 2
| Salzburg Research
| 3
| Gradient Ascent
| 4
| (Disqualified Team)
| 5
| GLOBAL
| 6
| CTL-KAUST
| 7
| HPE CMS France
| 8
| WAZD
| 9
| IITH Team 1
|
|
ITU-ML5G-PS-013: Improving the capacity of IEEE 802.11 WLANs through ML (UPF - Spain)
Rank
| Team-Name
| 1
| Ramon Vallès
| 2
| ATARI
| 3
| STC_2
| 4
| UC3M NETCOM
| 5
| NET INTELS
|
| ITU-ML5G-PS-018: Compression of Deep Learning models (ZTE, China)
Rank
| Team-Name
| 1
| AI-Maglev
| 2
| GAN Torrents
|
|
ITU-ML5G-PS-019: 5G+AI (Smart Transportation). (JNU - India)
| ITU-ML5G-PS-020: Improving experience and enhancing immersiveness of
Video conferencing and collaboration. (Dview, - India)
|
ITU-ML5G-PS-021: 5G+ML/AI (Dynamic Spectrum Access). (IITD, - India)
| ITU-ML5G-PS-022: Privacy Preserving AI/ML in 5G networks for healthcare
applications (C-DOT - India)
Rank
| Team-Name
| 1
| I******L diagnostics |
|
ITU-ML5G-PS-023: Shared Experience Using 5G+AI (3D Augmented + Virtual
Reality). (Hike, India)
Rank
| Team-Name
| 1
| Nitish Kumar Singh |
| ITU-ML5G-PS-024: Demonstration of MLFO capabilities via ref.
implementations. (LYIT - Ireland)
Rank
| Team-Name
| 1
| Abhishek Dandekar
|
|
ITU-ML5G-PS-025: ML5G-PHY- Channel Estimation @NCSU, US
Rank
| Team-Name
| 1
| ML-DOJO
| 2
| ICARUS
| 3
| Learned Chester
| 4
| mmWaveNet
| 5
| Redline
|
| ITU-ML5G-PS-031: Network
State Estimation by Analyzing Raw Video Data. (NEC - Japan)
Rank
| Team-Name
| 1
| JOJO
| 2
| KCGI
| 3
| HENOKO KING
| 4
| Fukui Dinosaur
| 5
| University of Fukui
| 6
| nagomy
| 7
| Ryo Yaegashi
| 8
| Katsuki Uno
|
|
ITU-ML5G-PS-032: Analysis on route information failure in IP core
networks by NFV-based test environment. (KDDI - Japan)
Rank
| Team-Name
| 1
| naist-lsm
| 2
| UT-NakaoLab-AI
| 3
| mlab
| 4
| Hideaki
| 5
| UniFukui
| 6
| MoNaKA
|
| ITU-ML5G-PS-036: Using weather info for radio link failure (RLF)
prediction (Turkcell - Turkey)
Rank
| Team-Name
| 1
| Link Busters
| 2
| IEC_Research
| 3
| STC SDP 1
| 4
| Faiz İkramulla et al.
|
|
Restricted Problem Statements
Problem Statement
| Team-Name
|
Out of Service(OOS) alarm prediction of 4/5G network base station
| 黑白双煞 (NKU-Excavator)
|
Network topology optimization
| 小智 (Weeny Wit)
|
Energy-Saving Prediction of Base Station Cells in Mobile Communication Network
| 浑水摸鱼 (Cresting)
|
Network topology optimization
| No Boundaries
|
Fault Localization of Network Devices based on MEC Platform
| 国创矩阵 (GuoChuang ChapterIX)
|
5G+AI+AR
| 5Gfan
|