Intent-driven NaTive AI architecturE supporting Compute-Network abstraction and Sensing at the Deep Edge
Overview
Future 6G Smart Networks will provide high-performance, energy-efficient infrastructure to support next generation internet and services, enabling digital transformation, autonomous systems, haptic communication and smart healthcare. Achieving these goals sustainably requires new architectural, federated and orchestrated approaches in telco infrastructures. These approaches demand multi-stakeholder ecosystems that promote synergies and share the extraordinary costs of upgrading from 5G to 6G, while facilitating new business models. The new architecture paradigms introduce unprecedented complexity due to the vast scale and heterogeneity of orchestration domains, requiring advanced automation.
Recognising the need for sustainable solutions, 6G-INTENSE proposes innovative approaches to the architecture, federation, and orchestration of telecommunication infrastructures. In response to the unprecedented complexity arising from new architecture paradigms and the multi-stakeholder nature of 6G, 6G-INTENSE aims to abstract and federate computational and communication resources under an internet-scale framework. Governed by an intelligent orchestration paradigm termed Distributed Intent-driven Management and Orchestration (DIMO) plane, this transformative approach addresses not only the challenges of scale and heterogeneity but also aligns with the overarching goal of future 6G networks to achieve pervasive AI-driven intelligence, often referred to as Native AI.
Objectives
Offer a Distributed Intent-driven Management and Orchestration (DIMO) plane for autonomously reconciled intent declarations in multi-stakeholder ecosystems.
Deliver an intent-based Abstraction Framework for the 6G Network-Compute Fabric.
Deliver a scalable Compute Interconnection solution based on SD-WAN for self-organised Service Mesh deployments.
Deliver the first concrete AI Native Toolkit implementation, offering intent decomposition, actuation, and reconciliation towards fully Autonomous Domains.
Deliver a federated AI plane for multi-stakeholder 6G ecosystems, via knowledge optimisation, synthesis, and intent propagation mechanisms.
Support privacy-preserving Joint Communication & Sensing for resilience and dependability at the Deep Edge.
Maximise the project’s impact through wide means of dissemination, communication, exploitation and standardisation actions.
eBOS Role in the Project
The technical role of eBOS includes leading the implementation of the Domain Manager and Orchestrator together with the integration of the Native AI mechanisms. Furthermore, eBOS will participate in the co-design and co-development of the AI-driven machine reasoning for intent decomposition, federated domain edge intelligence and knowledge optimisation, the development of intent APIs, and the adaptation of the developed software to the needs of the testbeds.
Alongside the technical tasks, eBOS will lead the dissemination and communication activities to maximise the visibility of the project by reaching a broad spectrum of stakeholders. In addition to developing and sustaining the project’s website, eBOS will manage and update the social media presence for 6G-INTENSE. Finally, leveraging its wide experience in the market, eBOS will contribute to the elaboration of 6G-INTENSE exploitation and sustainability plans.
Co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Smart Networks and Services Joint Undertaking. Neither the European Union nor the granting authority can be held responsible for them.
