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Intent-driven NaTive AI architecturE supporting Compute-Network abstraction and Sensing at the Deep Edge

Objective

The 6G Smart Networks of the future will provide the high-performance and energy-efficient infrastructure on which next generation internet and other services 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 aforementioned objectives in a sustainable way, it is well understood that new approaches are needed in the way the telco infrastructures are architected, federated and orchestrated. These new approaches call for multi-stakeholder ecosystems that promote synergies among MNOs and owners of all kinds or computational and networking resources that will share the extraordinary costs of yet another generation upgrade from 5G to 6G, while facilitating new business models. It is clear, that the new architecture paradigms bring unprecedented complexity due to the sheer scale and heterogeneity of the orchestration domains involved, that should be matched by equally capable automation capabilities, thus 6G is aiming for the “holy grail” of pervasive AI-driven intelligence, termed 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. 6G-INTENSE aims to abstract and federate all kinds of computational and communication resources under an internet-scale framework, that is governed by an intelligent orchestration paradigm, termed as DIMO.

Coordinator

ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS
Net EU contribution
€ 612 000,00
Address
ARTEMIDOS 6 KAI EPIDAVROU
151 25 Maroussi
Greece

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Region
Αττική Aττική Βόρειος Τομέας Αθηνών
Activity type
Research Organisations
Links
Total cost
€ 612 000,00

Participants (10)