MACHINE LEARNING-BASED, NETWORKING AND COMPUTING INFRASTRUCTURE RESOURCE MANAGEMENT OF 5G AND BEYOND INTELLIGENT NETWORKS
Duration: 01/01/2021 – 31/12/2023 | Total Funding: EUR 6,126,684.00
MARSAL aims to provide an evolved architecture towards Beyond 5G (B5G), offering unprecedented degrees of flexibility and closed-loop autonomy at all tiers of the infrastructure, and significantly improved Spectral Efficiency via Cell-Free Networking.
MARSAL project will generate the following outcomes:
Design and demonstrate scalable, distributed cell-free massive-MIMO networks supporting massive Access Points deployments.
Design and implement a cell-free virtual Radio Access Network for B5G, aligned with the O-RAN Alliance architecture.
Architect a disaggregated, Software-Defined-Networking control plane towards Fixed-Mobile Convergence.
Deployment of an Elastic Edge Computing paradigm with Cloud-Native technologies.
Policy-driven security, privacy and trust in multi-tenant infrastructures.
Deliver a Self-driven infrastructure with pervasive, Machine-Learning-driven control.
Implementation and proof-of-concept of the MARSAL solutions.
Dissemination, standardization and exploitation of MARSAL.
eBOS will work on AI-based solutions for malicious nodes detection. eBOS will lead the project dissemination following the strategy defined in Work Package 7. eBOS will set up the appropriate mechanisms and tools for maximum visibility and impact, ensuring that all partners contribute to dissemination activities, and assess the dissemination results.
CENTRE TECNOLOGIC DE TELECOMUNICACIONS DE CATALUNYA
IQUADRAT INFORMATICA SL
KATHOLIEKE UNIVERSITEIT LEUVEN
INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
NEC LABORATORIES EUROPE GMBH
MELLANOX TECHNOLOGIES LTD - MLNX
ELLINIKI ETAIRIA TILEPIKOINONION KAI TILEMATIKON EFARMOGON AE
INTRACOM SA TELECOM SOLUTIONS
EBOS TECHNOLOGIES LIMITED
UNIVERSITA DEGLI STUDI DI MILANO
INLECOM INNOVATION ASTIKI MI KERDOSKOPIKI ETAIREIA
This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement No. 101017171.