Concept and Methodology

Overall Concept

The 6G Smart Networks of the future will provide the high-performance and energy-efficient infrastructure on which next-generation internet and other future-looking applications can be developed and deployed. 6G will foster an Industry revolution and digital transformation and will accelerate the building of smart societies leading to quality-of-life improvements, facilitating autonomous systems, haptic communication, and smart healthcare. To achieve the objectives sustainably, it is well understood that new approaches are needed in the way the telecom infrastructures are architected, federated, and orchestrated. These new approaches call for multi-stakeholder ecosystems that promote synergies amongst the Mobile Network Operators and owners of all kinds of computational and networking resources that will share the extraordinary costs of yet another generation upgrade from 5G to 6G, while facilitating new business models. New architectural paradigms are making things more complex due to their large scale and diverse orchestration domains. As a result, automation needs to step up to handle this complexity. That’s why 6G is aiming for the ambitious goal of pervasive AI-driven intelligence, known as Native AI. However, the multi-stakeholder infrastructures foreseen in 6G as per the “network of networks” concept, will add a level of unprecedented management complexity due to the sheer scale and heterogeneity of the orchestration domains involved.


This is where 6G-INTENSE steps in, proposing a new System Architecture for 6G, as illustrated in Figure 1, to deliver “6G as a Smart Service Execution platform”, fully in line with the vision of sustainable infrastructure sharing to reduce space and energy costs and encouraging collaboration among all members of the value chain under a unified Network-Compute fabric. A key contribution is a novel automation architecture with a Native AI toolkit facilitating intent declaration, negotiation, and decision automation across autonomous domains, termed Distributed Intent-driven Management and Orchestration (DIMO). Moreover, sensing is adopted as a key enabler, helping to navigate the complexities and lack of reliability of the Deep Edge.

Figure 1: Architecture overview of 6G-INTENSE

6G-INTENSE Scientific Methodology

6G-INTENSE introduces a transformative scientific approach, uniting all computational and networking resources under a revolutionary, open controllability framework. The project aims to drive innovations across business, management, and infrastructure layers. Through a systematic five-phase methodology, as depicted in the accompanying Figure 2, 6G-INTENSE pursues ambitious goals. These include advancing 6G technologies to enhance performance, efficiency, and capabilities, establishing a single, unifying framework that redefines controllability in network infrastructure.

Figure 2: 6G-INTENSE Scientific Methodology