If you are a vehicle manufacturer dealing with the risks of remote-controlled driving — this project developed a digital twin system that allows testing teleoperated driving scenarios in a virtual environment before real-world deployment.
AI-Powered Digital Twins for Optimizing and Testing Future 6G Network Performance
Imagine having a perfect digital mirror of a city's entire mobile network. Instead of risking a crash by testing new software on real phones, engineers can try everything on this virtual copy first. It uses AI to predict how the network will behave, ensuring the real system stays fast and stable.
What needed solving
Current mobile networks are too complex to update without risking outages. Operators lack a safe, real-time virtual environment to test AI-driven 6G configurations before deploying them to millions of users.
What was built
A reference architecture for AI-native 6G networks, a shared data space for secure info exchange, and a prototype simulation framework connecting traffic and mobility simulators.
Who needs this
Who can put this to work
If you are a network operator dealing with high electricity bills for cell towers — this project developed a simulation tool that identifies ways to reduce the energy consumed by radio access networks.
If you are a software vendor dealing with the complexity of 6G architecture — this project developed a reference architecture and a shared data space that simplifies the creation of AI-native network controls.
Quick answers
What is the cost or pricing for implementing this technology?
Based on available project data, specific pricing or cost structures are not provided as this is a research project funded by the EU.
Can this be scaled to a full industrial network?
The project aims to provide a reference architecture for 6G systems, including edge, fog, and cloud domains, to ensure it can handle complex, real-world network scenarios.
How is the intellectual property or licensing handled?
Based on available project data, the project emphasizes open communities and the participation of 3 SMEs to ensure the outcomes are replicated and exploited in the market.
How does this integrate with existing 5G systems?
The project focuses on the transition to 6G (expected around 2030), creating a bridge between physical networks and virtual models through a shared data space.
What is the timeline for commercial availability?
The project runs from 2024-01-01 to 2026-12-31, aligning with the broader 6G horizon of approximately 2030.
Who built it
The consortium is heavily industry-weighted with a 55% industry ratio, comprising 6 industrial partners including 3 SMEs. This suggests a strong focus on commercial viability and market alignment, supported by 3 universities and 2 research centers across 8 countries.
Contact the Luxembourg Institute of Science and Technology
Talk to the team behind this work.
Contact us to explore licensing opportunities for the 6G-TWIN reference architecture.