EXplainable Automation for Continuum 6G infrastructures

MSCA (Marie Skłodowska-Curie)HORIZON-TMA-MSCA-DNID: 101120297
EC Contribution
€26,572
Consortium Size
9 orgs
Start Year
2023
Summary

6G is envisioned to foster an Industry revolution and digital transformation and will accelerate the building of smart societies leading to quality of life improvements, providing truly immersive AR/MR/VR experiences, and will help in the deployment of connected robots and autonomous systems, haptic communication and smart healthcare. However, it also comes with a unique set of challenges, due to the unprecedented capacity, spectral efficiency, and infrastructure flexibility requirements. To this end, EXACT-6G research project aims to propose, design and validate a novel and agile 6G system architecture and enabling technologies, combining RIS with a Compute Continuum infrastructure and Distributed, Intelligent orchestration that seamlessly integrates Cloud, Edge and Far Edge nodes under a self-synthesized and self-managed PaaS system. Moreover, EXACT-6G will build a training network to conduct top-notch research towards the development and experimental evaluation of a gamut of techniques, methodological frameworks and tools. Furthermore, EXACT-6G proposes new concepts, such as Pervasive Orchestration, and designs new Explainable AI models for for scalable, autonomous control of the infrastructure, and allows microservices to “follow” users, being tracked by Joint Communication and Sensing mechanisms.

Consortium (9)

Project Results (12)

Source: CORDIS, the EU research results database.

Publications (12)
Coordinated Offloading: Meta-Guided Multi-Agent Reinforcement Learning for the Edge–Cloud Continuum
IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)· 2025
Muhammad Rafid, Vasilis Charalampos Avgerinos, Kostas Ramantas, Christos Verikoukis
Decentralized Resource Discovery, Prediction, and Composition for Inter-Domain Cloud-Edge Orchestration
IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)· 2025
Fahimeh Jabbarinia, Christos Verikoukis
Deep Reinforcement Learning for Hybrid RIS Assisted MIMO Communications
The 2025 Asilomar Conference on Signals, Systems, and Computers· 2025
Phuong Tran, Nhan Nguyen, Markku Juntti
Deep Unfolding of Atomic Norm Minimization for DoA Estimation
2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications (SPAWC)· 2025
Ali Raza, Nhan Thanh Nguyen, Markku Juntti
Distributed Radiance Field Training for 6G-Enabled Metaverse: Requirements and Challenges
IEEE Conference on Network Function Virtualization and Software Defined Networks NFV-SDN· 2025
Yendoubouam Lalle, Fabio Pianese
Efficient Direction-of-Arrival Estimation via Model-based Machine Learning
IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)· 2025
Ali Raza, Nhan Nguyen, and Markku Juntti
Explainable AI for autonomous management in 5G/6G networks: Towards trustworthy zero-touch operations
IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)· 2025
Mohamed Readh FENTAZI, Adlen Ksentini
Graph-Aware Generative AI for SLA Compliance in 6G Networks: A Hierarchical Architecture Integrating Neo4j Analytics with Generative AI
IEEE Conference on Network Function Virtualization and Software-Defined Networking (NFV-SDN 2025, Athens)· 2025
Debashish ROY, Kostas Ramantas, Christos Verikoukis
RIS-Assisted ISAC with Interference Management and Localization for B5G Wireless Networks
IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)· 2025
Abdelrahman Elkhateeb, Youssef Nasser
Scalable Task Scheduling and Management Orchestration in Distributed EdgeCloud Systems
IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)· 2025
Damola Gideon Akinola,Kostas Ramantas
AIEuroLens: Explainable AI Framework for Drift Detection applied to 5G Time-Series Data
IEEE Global Communications Conference
Mohamed Readh FENTAZI, Mehdi HASSANI, Adlen Ksentini, Abdelkader MEKRACHE, Malika BESSEDIK
DRL for Joint Active and Passive Beamforming in RIS-aided MIMO Systems
2025 IEEE Conference on Network Function Virtualization and Software-Defined Networking (NFV-SDN)DOI
Phuong Tran, Nhan Nguyen, Markku Juntti