Connecting the world and beyond

PP 26

2022 ITU AI-ML in 5G Challenge Program

​​​​​​​​​​​​​​​​​

​​​​​​​​​​​​​​​​​​​​​​

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
13:00-13:10​
​Opening Ceremony​

  • Welcome remarks:  Reinhard Scholl​, Deputy Director, Telecommunication Standardization Bureau, ITU
13:10-14:00​
 ​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
  • 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
14:30-15:1​5
 ​Problem Statement –  (ML5G-PS-005) Network failure prediction on CNFs 5GC with Linux eBPF
  • ​PS-005.1  Network failure prediction on CNFs 5GC with Linux eBPF​  [Presentation] [GitHub Repo]
    The Big Fools:  ​Emmanuel Basikolo​​, University of Malawi, Malawi​​
  • 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​] [G​itHub 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​
  • PS-011.1  BeamBench - Understanding LoS requirement​  [Presentation​] [GitHub Repo]
    Avatar    ​:  Maximilian Arnold, Nokia, Germany
  • 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    ​

Day 2​​ - ​Wednesday​, 30 November 2022 (Time zone - CET)​​

​​Watch day 2 sessio​n 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​
  • 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, Imp​erial University, UK​
​13:30-14:00
 ​Problem Statement –  (ML5G-PS-007) Non-linear Power Amplifier Behavioral Modeling to achieve higher energy efficiency in 5G RAN
  • 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​
  • 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
  • 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
  • PS-012.2  Machine Learning Models for Home User Network Classification​  [​Presentation​] [GitHu​b 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
15:05-15:20

​Problem Statement –  (ML5G-PS-010) BYOC: Build your own Closed loop
  • PS-010.2  Deriving new use case based on link prediction algorithm  [​Presentation​​] [GitHub Repo​]
    Innovnet:     Tarek Mohamed Abdullah, Egypt​


Day 3​​ -Thursday​, 01 December 2022​ (Time zone - CET)​​

Watch Day 3 session rec​ording here​​

12:40-13:00
 Join session to test connection
13:00-14:00​​
​Problem Statement – (ML5G-PS-010) BYOC: Build your own Closed loop
  • 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​] [GitH​ub Repo]                                  AI_ML_SSD:  Debanka Giri, Sudev Kumar Padhi, Nitin kumar Choudhary, Mohit kumar, IIT Delhi & IIT Bhilai, India​
  • PS-010.3  Build-a-thon: A Journey from Usecase, Graph to Deployment  [Presentation​] [GitHub Repo]​
    Tech Rangers    ​:  Frank C. Ebeledike,  Emmanuel Othniel Egga​h, 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  [Presenta​tion​​​] [GitHub Repo​]
    SixG_ISAC​:  ​Shubham Khunteta, Guddeti Yeswanth Reddy, Ashok Kumar Reddy Chavva, Avani Agrawal, Samsung R&D India-Bangalore, India​​

​14:00-​14:2​0 ​Coffee break​
​14:20​-15:05
​Problem Statement –  (ML5G-PS-006) Location Estimation Using RSSI of Wireless LAN in NLoS Environment
  • 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
  • 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
 ​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)​

Problem Statement (ML5G-PS-009) Synthetic Observability Data Generation using GANs
  • PS-009.1  Synthetic Observability Data Generation using GANs   [Presentation​] [GitHub Repo]
    CMRI-AIQuants​​:  ​xinlun, China Mobile Research Institute​, China

​Closing Ceremony​​
​
  • Closing remarks: Remarks from Judges of the 2022 Challenge​
  • Finish


Judges for the 2022 ITU AI/ML in 5G Challenge

​
​​Judge​
 ​Affiliation
​Prof. ​Albert Cabellos
 ​BNN-UPC
​Prof. Rentao Gu​
 ​BUPT
Sergio Barrachina
CTTC
​Dr. Mahdi Boloursaz Mashhadi
 Lecturer, University of Surrey​
​Ammar Muthanna
​Ilan Correa
 ​Federal University of Pará
​Pu  Tian​
 ​NIST
​Judge
 ​Affiliation
Umut Demirhan
​Arizona State University​
​Gouranga Charan​Arizona State University
​Evren Tuna
ULAK COMM. INC.
​Norihiro Fukumoto
 University of Tokyo
​Koichi AdachiUniv. ElectroCommunications
​Bastiaan Quast​ITU


​

© ITU All Rights Reserved

Back to top