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6G-INTENSE · Project

AI-Driven Automation for Shared 6G Network and Computing Infrastructure

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Imagine if the internet could automatically organize itself like a smart traffic system that knows exactly where every car needs to go without a human controller. This project builds a brain for future 6G networks that lets different companies share their hardware and power more efficiently. It uses sensors to understand the physical environment, making the connection reliable even in the most remote areas.

By the numbers
11
consortium partners
64%
industry ratio
8
countries involved
The business problem

What needed solving

Upgrading to 6G is prohibitively expensive and complex for single companies to manage. Current networks lack the intelligence to automatically share resources across different providers without manual configuration.

The solution

What was built

A Distributed Intent-driven Management & Orchestration (DIMO) plane and a Native AI toolkit for autonomous network control. It also includes a compute interconnection solution based on SD-WAN.

Audience

Who needs this

Mobile Network OperatorsCloud Infrastructure ProvidersIndustrial IoT IntegratorsSmart City Developers
Business applications

Who can put this to work

Telecommunications
enterprise
Target: Mobile Network Operator (MNO)

If you are an MNO dealing with the massive costs of upgrading from 5G to 6G — this project developed a shared network-compute fabric that allows multiple companies to split the infrastructure expenses. This reduces the financial burden of deploying new hardware across wide areas.

Healthcare
mid-size
Target: Smart Hospital Provider

If you are a healthcare provider dealing with the need for lag-free remote surgery or monitoring — this project developed a Native AI toolkit that automates resource allocation. This ensures critical medical data gets priority and stability at the deep edge of the network.

Industrial Automation
enterprise
Target: Autonomous Factory Operator

If you are a factory operator dealing with unreliable connectivity for mobile robots — this project developed privacy-preserving sensing and a distributed orchestration plane. This keeps autonomous systems running smoothly by predicting and fixing connection gaps in real-time.

Frequently asked

Quick answers

How much does the system cost to implement?

Based on available project data, specific pricing is not provided, but the project aims to reduce space and energy costs through sustainable infrastructure sharing.

Can this be scaled to a global network?

Yes, the project specifically aims to abstract and federate resources under an internet-scale framework to handle the complexity of multi-provider ecosystems.

Who owns the IP and how is licensing handled?

Based on available project data, licensing details are not specified, but the project involves a consortium of 11 partners including 7 industry members.

How does this integrate with existing 5G systems?

The project focuses on the transition from 5G to 6G, creating a fabric that allows different owners of computational and networking resources to collaborate.

What is the timeline for commercial availability?

The project period runs from 2024-01-01 to 2026-12-31, suggesting that mature results will be available by the end of 2026.

Consortium

Who built it

The project has a strong commercial orientation with a 64% industry ratio, comprising 7 industry partners (including 3 SMEs) and 4 academic/research entities. This balance across 8 countries suggests the technology is being designed for real-world market adoption rather than purely theoretical research.

How to reach the team

Contact ATHINA Research Center in Greece

Next steps

Talk to the team behind this work.

Contact us to connect with the 6G-INTENSE consortium for early pilot opportunities.