AI/ML in 5G Challenge

Applying machine learning in communications networks.

Join the ITU AI/ML in 5G Challenge in 2023 (Fourth edition), a platform for collaboratively addressing the problems in applying AI/ML in communication networks including 5G & 6G. The Challenge connects participants (students and professionals) from more than 100 countries, with industry and academia solving real-world problems using AI/ML in communication networks.

 

The ITU AI/ML in 5G Challenge offers carefully curated problem statements, a mix of real-world and simulated data, technical webinars, mentoring, and hands-on sessions. Teams participating in the Challenge enable, create, train and deploy ML models for communication networks. This enables participants to not only showcase their talent, test their concepts on real data and real-world problems, and compete for global recognition including prize money and certificates, but also enter the world of ITU standards by mapping their solutions to our specifications.

Join the ITU AI/ML in 5G Challenge in 2023 (Fourth edition), a platform for collaboratively addressing the problems in applying AI/ML in communication networks including 5G & 6G. The Challenge connects participants (students and professionals) from more than 100 countries, with industry and academia solving real-world problems using AI/ML in communication networks.

 

The ITU AI/ML in 5G Challenge offers carefully curated problem statements, a mix of real-world and simulated data, technical webinars, mentoring, and hands-on sessions. Teams participating in the Challenge enable, create, train and deploy ML models for communication networks. This enables participants to not only showcase their talent, test their concepts on real data and real-world problems, and compete for global recognition including prize money and certificates, but also enter the world of ITU standards by mapping their solutions to our specifications.

Compute platform

ITU provides a state-of-the-art, free-of-charge compute platform to participants of the Challenge who do not have adequate access to compute in their respective institutions. The compute platform will provide participants with access to:

 

  • Free GPUs and CPUs
  • Hosted Jupyter notebook server
  • Python kernel
  • Pre-installed machine learning packages, e.g. PyTorch and Tensorflow

In some of the problem statements, a baseline or reference solution may be offered which may include implementations using Jupyter notebooks.

ML/5G Challenge problem statements

O&M Fault Impact Analysis

Leveraging ML/AI to predict the impact of faults on RAN KPIs

Curated by Huawei

Depth Map Estimation in 6G

Propose an AI/ML algorithm that reconstructs the depth map of an indoor environment from mmWave MIMO

Curated by NIST

Multi-environment QoS prediction

multi-domain QoS prediction of cellular communication

Curated by Fraunhofer HHI

SDN Intrusion & Vulnerability Detection

Using AI/ML to classify traffic flows

Curated by ULAK Comm.

Graph Neural Networking Challenge

to create a Network Digital Twin to estimate QoS performance metrics using real network data

Curated by BNN-UPC

5G-Energy Consumption Modelling

Develop AI/ML model capable of estimating energy consumption & achieve generalization capabilities

Curated by Huawei

Network failure using digital twins

Create a network failure classification model, i.e., Root Cause Analysis model using data from network digital twin and real network.

Curated by KDDI

Network Traffic Scenario Prediction

Build an ML model based on the training set data to predict the traffic scenario for unknown traffic.

Curated by ZTE

ITU AI/ML 5G Challenge Timeline

February – May 2023

June – October 2023

November – December 2023

Curation Phase

Competition Phase

Evaluation Phase

Registration open until 20 October 2023

Submission deadline 27 October 2023

Evaluation of solutions: October 2023

Final Ranking: 3 November 2023

Preparation of reports: October – November 2023

November 2023 – Judges Panel evaluates the best solutions from Competition Phase

28 – 30 November 2023 – Best solutions pitch in a 3-day event end of to determine the finalists

13 December 2023 – Grand Challenge Finale

ITU AI/ML 5G Challenge Timeline

February – May 2023

Curation Phase

June – October 2023

Competition Phase

  • 20 October 2023 – Registration
  • 27 October 2023 – Submission of solutions
  • October 2023 – Evaluation of solutions
  • October – November 2023 – Preparation of reports

November – December 2023

Evaluation Phase

  • November 2023 – Judges Panel evaluates the best solutions from Competition Phase
  • Best solutions pitch in a 3-day event 28 – 30 November 2023 to determine the finalists
  • 13 December 2023 – Grand Challenge Finale

Related information

Related sessions
27 October 2023
14:00 - 16:00 CEST Geneva | 08:00-16:00 EDT, New York | 20:00-22:00 CST, Beijing
Nicola Piovesan (Huawei), Xi Zheng (Huawei), Thomas Basikolo (ITU)...
10 November 2023
14:00 - 15:00 CET Geneva | 08:00-09:00 EST, New York | 21:00-22:00 CST, Beijing
Michaela Blott (AMD Research), Vishnu Ram OV (Consultant), Miya Nishio (University of Tokyo)
7 December 2023
14:30 - 16:00 CET Geneva | 08:30-10:00 EST, New York | 21:30-23:00 CST, Beijing
Ahmed Alkhateeb (Arizona State University), Koichi Adachi (), Miya Nishio (University of Tokyo)...
14 December 2023
14:00 - 15:30 CET Geneva | 08:00-09:30 EST, New York | 21:00-22:30 CST, Beijing
Norihiro Fukumoto (University of Tokyo), Junichi Kawasaki (KDDI Research, Inc.), Miya Nishio (University of Tokyo)...
AI for Good ML/5G partners

Hosts of problem statements

Technical partner

Artificial Intelligence Industry Alliance
Artificial Intelligence Industry Alliance

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