ADROIT6G’s overall project goal is to provide revolutionary research foundations for low TRL technology advancements in preparation for the upcoming 6G network architectures. In particular, to evolve the existing service-based architectures of 5G mobile networks, and design, implement and validate a fundamentally new approach for a future-proof, cognitive, next-generation 6G architecture by adopting a fully distributed AI-driven dynamic paradigm, with functional elements automatically deployed on-demand as virtual functions in cloud-native environments, across the far-edge, edge and cloud domains, operated by different stakeholders. This will ultimately lead to improved performance, a higher level of control, increased transparency in interactions with digital services, support of future-looking applications and social acceptance.
ADROIT6G Technical Objectives:
Design and implement a novel 6G system architecture that integrates a distributed AI framework for combined communication, computation and control
Create an AI driven Management & Orchestration and control framework for 6G Networks
Architect a distributed and secure CrowdSourcing AI
Develop energy-aware models for multimodal Representation Learning
Evolve the cellular infrastructure to allow the true integration of deep-edge devices in communication and computation functions
Enable Non-Terrestrial Networks connectivity for highly reliable Industrial Internet of Things Services
Extend and demonstrate the use of decentralized AI for Device-to-Device communications
Support data plane acceleration
Integrate and demonstrate the potential and user value of ADROIT6G through relevant experimentation, testing, and validation of its innovations in Proofs of Concepts (PoCs) in lab settings
Maximize the project’s impact through wide means of dissemination, communication, clustering, high-value exploitation and capacity building activities.
Provide rationalized contribution to emerging standards, open source for and relevant communities
Provide significant contributions to the establishment of a globally accepted set of KVIs