Project description
Machine learning-based networking and computing infrastructure management for beyond 5G
The EU-funded MARSAL project proposes a new paradigm of elastic virtual infrastructures, developed to deliver end-to-end transfer, processing and storage services in a cost-efficient, flexible and secured way. MARSAL focuses on three pillars: (i) network design, where MARSAL pushes a cell-free networking concept, which will be implemented and integrated with existing vRAN elements and aligned with the O-RAN Alliance; (ii) virtual elastic infrastructure, which is built around the Elastic Edge Computing notion, aiming to optimise the MEC functionality and the network slicing management systems via a hierarchy of analytic and decision engines; and (iii) network security, where MARSAL will develop novel machine learning-based mechanisms that guarantee privacy and security in multi-tenancy environments for end users and tenants.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- natural sciencescomputer and information sciencescomputer securitynetwork security
- natural sciencesbiological sciencesecologyecosystems
- humanitiesphilosophy, ethics and religionphilosophy
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
08006 Barcelona
Spain
See on map
Participants (13)
08860 Castelldefels Barcelona
See on map
3000 Leuven
See on map
106 82 Athina
See on map
69115 Heidelberg
See on map
20692 Yokneam
See on map
151 24 Maroussi
See on map
19002 Peania
See on map
2322 Nicosia
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
92130 Issy Les Moulineaux
See on map
20122 Milano
See on map
2018 Antwerpen
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3000 Leuven
See on map
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.