2022 ITU AI-ML in 5G Challenge Program
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2022 ITU AI/ML in 5G Challenge Play-offs (Final Presentations and Evaluation) Online, 29 November - 01 December 2022
Contact: ai5gchallenge@itu.int
Note: Registration is required, please click here to register
Day 1 - Tuesday, 29 November 2022 (Time zone - CET)
Watch Day 1 Session recording here 12:40-13:00
| Join session to test connection
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13:00-13:10
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Opening Ceremony
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Welcome remarks: Reinhard Scholl, Deputy Director, Telecommunication Standardization Bureau, ITU
| 13:10-14:00
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Problem Statement – (ML5G-PS-002) Graph Neural Networking Challenge 2022: Improving Network Digital Twins through Data-centric AI
- PS-002.1 Presentation title [Presentation] [GitHub Repo]
snowyowl: Brigitte Jaumard, Charles Boudreau, Junior Momo Ziazet, Oscar Delgado, Concordia University, Canada
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PS-002.2 GNN Networking Challenge 2022 – Oracle based sampling [Presentation] [GitHub Repo]
Ghost Ducks: Eli Sason, Eli Kravchik, Alexei Gaissinski, Yackov Lubarsky, Toga Networks (a Huawei company), Israel -
PS-002.3 Presentation title [Presentation] [GitHub Repo]
net: Max Helm, Benedikt Jaeger, Technical University of Munich (TUM), Germany
| 14:00-14:30
| Coffee break
| 14:30-15:15
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Problem Statement – (ML5G-PS-005) Network failure prediction on CNFs 5GC with Linux eBPF
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PS-005.1 Network failure prediction on CNFs 5GC with Linux eBPF [Presentation] [GitHub Repo]
The Big Fools: Emmanuel Basikolo, University of Malawi, Malawi
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PS-005.2 Network failure prediction on CNFs 5GC with Linux eBPF [Presentation] [GitHub Repo]
MLAB-NFP: Jiwon Lee, Bojian Du, Kentaro Matsuura, Ryoma Kondo, The University of Tokyo, Japan -
PS-005.3 Network failure prediction on CNFs 5GC with Linux eBPF [Presentation] [GitHub Repo]
UT-NakaoLab-AI: Takeru Hakii, The University of Tokyo, Japan
| 15:15-16:00
| Problem Statement – (ML5G-PS-011) Multi Modal Beam Prediction Challenge 2022: Towards Generalization
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PS-011.1 BeamBench - Understanding LoS requirement [Presentation] [GitHub Repo]
Avatar: Maximilian Arnold, Nokia, Germany
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PS-011.2 Presentation title [Presentation] [GitHub Repo]
TII: Qiyang Zhao, Yu Tian, Zine el abidine Kherroubi, Fouzi Boukhalfa,
Technology Innovation Institute, UAE -
PS-011.3 Presentation title [Presentation] [GitHub Repo]
MMJ : Junnan Wang, University of Stuttgart, Germany/China
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Day 2 - Wednesday, 30 November 2022 (Time zone - CET)
Watch day 2 session recording here
12:40-13:00
| Join session to test connection
| 13:00-13:30
| Problem Statement – (ML5G-PS-001) Federated Traffic Prediction for 5G and Beyond
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PS-001.1 Federated Learning for 5G Base Station Traffic Forecasting [Presentation] [GitHub Repo]
Euclid: Vasileios Perifanis, Nikolaos Pavlidis, Remous-Aris Koutsiamanis, Pavlos Efraimidis, Democritus University of Thrace (Greece), IMT Atlantique (France) -
PS-001.2 Presentation title [Presentation] [GitHub Repo]
SFY: Selim Firat Yilmaz, Imperial University, UK
| 13:30-14:00
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Problem Statement – (ML5G-PS-007) Non-linear Power Amplifier Behavioral Modeling to achieve higher energy efficiency in 5G RAN
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PS-007.1 Presentation title [Presentation] [GitHub Repo]
MLAP : Pedamalli Saikrishna, Ashok Kumar Reddy Chavva, and Boddapati Hari Krishna, Samsung R&D India-Bangalore, India
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PS-007.2 A Journey for a Power Amplifier Fitting [Presentation] [GitHub Repo]
No correlation: Karim Saifullin,
King Abdullah University of Science and Technology, Saudi Arabia
| 14:00-14:20
| Coffee break
| 14:20-15:05
| Problem Statement – (ML5G-PS-012) Classification of Home Network Users to Improve User Experience
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PS-012.1 Presentation title [Presentation] [GitHub Repo]
Data Rangers: Bharath Raj Muppalla, Cade Phelan, Srinivas Pramodh Kotipalli, Tharun Sai Raghavendra Veeram Reddygari, Oklahoma State University, US
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PS-012.2 Machine Learning Models for Home User Network Classification [Presentation] [GitHub Repo]
Xdding (jygaced): Rushat Rai,
The Chinese University of Hong Kong, Hong Kong -
PS-012.3 Presentation title [Presentation] [GitHub Repo]
Spears-9 : Anuj Pratap Singh, Kumar Yash, Chhavi Nijhawan, Hayden Myers, Sushma Reddy Mandhadapu, Oklahoma State University, US
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15:05-15:20
| Problem Statement – (ML5G-PS-010) BYOC: Build your own Closed loop
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PS-010.2 Deriving new use case based on link prediction algorithm [Presentation] [GitHub Repo]
Innovnet: Tarek Mohamed Abdullah, Egypt
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Day 3 -Thursday, 01 December 2022 (Time zone - CET)
Watch Day 3 session recording here
12:40-13:00
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Join session to test connection | 13:00-14:00
| Problem Statement – (ML5G-PS-010) BYOC: Build your own Closed loop
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PS-010.1 Evolution and Blockchain: An Autonomous Network Architecture PoC [Presentation] [GitHub Repo]
Digital Twins: Álvaro Pendás Recondo, Jaime Fúster de la Fuente, Rakuten Mobile Inc., Japan
- PS-010.3 AI/ML Driven Low Latency Closed Loop Control [Presentation] [GitHub Repo] AI_ML_SSD: Debanka Giri, Sudev Kumar Padhi, Nitin kumar Choudhary, Mohit kumar,
IIT Delhi & IIT Bhilai, India
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PS-010.3 Build-a-thon: A Journey from Usecase, Graph to Deployment [Presentation] [GitHub Repo]
Tech Rangers: Frank C. Ebeledike, Emmanuel Othniel Eggah, Abel Oche Moses, Dr. James Agajo, FUT Minna, Nigeria
Problem Statement – (ML5G-PS-004) Depth Map Estimation in 6G mmWave systems
- PS-004.1 Depth Map Estimation in 6G mmWave systems [Presentation] [GitHub Repo]
SixG_ISAC: Shubham Khunteta, Guddeti Yeswanth Reddy, Ashok Kumar Reddy Chavva, Avani Agrawal, Samsung R&D India-Bangalore, India
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Coffee break
| 14:20-15:05
| Problem Statement – (ML5G-PS-006) Location Estimation Using RSSI of Wireless LAN in NLoS Environment
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PS-006.1 Multi-Task Learning for Location Estimation Using RSSI of Wireless LAN in NLoS Environment [Presentation] [GitHub Repo]
TeleAILab: Zehui Wei, Mingjie Liao, Asiainfo, China
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PS-006.2 Location Estimation by Trilateral Positioning with KNNUsing RSSI of WirelessLAN [Presentation] [GitHub Repo]
KIT-labs: Xiaohan ZHOU, Akinao DAIKOKU, SHUyuan DONG, Kyushu Institute of Technology, Japan -
PS-006.3 Presentation title [Presentation] [GitHub Repo]
IRPE: sagniknayak, chirantanganguly, arjunghosh, University of Calcutta, India
| 15:05-15:20
15:20-15:35
15:35-15:45
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Problem Statement – "Slidin' videos": Slide Transition Detection and Title Extraction in Lecture Videos- PS-000.0 Multi-loss Function to Improve the Text Detection and Segmentation [Presentation] [GitHub Repo]
AA_Vision: Anuj Abraham and Shitala Prasad, TII (UAE), A*STAR (Singapore)
- PS-009.1 Synthetic Observability Data Generation using GANs [Presentation] [GitHub Repo]
CMRI-AIQuants: xinlun, China Mobile Research Institute, China
Closing Ceremony
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Closing remarks: Remarks from Judges of the 2022 Challenge
- Finish
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Judges for the 2022 ITU AI/ML in 5G Challenge
Judge
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Affiliation
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Prof. Albert Cabellos
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BNN-UPC
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Prof. Rentao Gu
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BUPT
| Sergio Barrachina
| CTTC
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Dr. Mahdi Boloursaz Mashhadi
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Lecturer, University of Surrey
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Ammar Muthanna |
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Ilan Correa
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Federal University of Pará
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Pu Tian
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NIST
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Judge
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Affiliation
| Umut Demirhan
| Arizona State University
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Gouranga Charan | Arizona State University
| Evren Tuna
| ULAK COMM. INC.
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Norihiro Fukumoto
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University of Tokyo
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Koichi Adachi | Univ. ElectroCommunications
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Bastiaan Quast | ITU
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