RT Journal Article
T1 5Growth: An end-to-end service platform for automated deployment and management of vertical services over 5G networks
A1 Li, Xi
A1 García-Saavedra, Andrés
A1 Costa-Pérez, Xavier
A1 Bernardos Cano, Carlos Jesús
A1 Magalhaes Guimaraes, Carlos Eduardo
A1 Antevski, Kiril
A1 Mangues-Bafalluy, Josep
A1 Baranda, Jorge
A1 Zeydan, Engin
A1 Corujo, Daniel
A1 Iovanna, Paola
A1 Landi, Giada
A1 Alonso, Jesus
A1 Paixão, Paulo
A1 Martins, Hugo
A1 Lorenzo, Manuel
A1 Ordonez-Lucena, Jose
A1 López, Diego R.
AB This article introduces the key innovations of the 5Growth service platform to empower vertical industries with an AI-driven automated 5G end-to-end slicing solution that allows industries to achieve their service requirements. Specifically, we present multiple vertical pilots (Industry 4.0, transportation, and energy), identify the key 5G requirements to enable them, and analyze existing technical and functional gaps as compared to current solutions. Based on the identified gaps, we propose a set of innovations to address them with: (i) support of 3GPP-based RAN slices by introducing a RAN slicing model and providing automated RAN orchestration and control; (ii) an AI-driven closed-loop for automated service management with service level agreement assurance; and (iii) multi-domain solutions to expand service offerings by aggregating services and resources from different provider domains and also enable the integration of private 5G networks with public networks.
PB IEEE
SN 0163-6804
YR 2021
FD 2021-03
LK https://hdl.handle.net/10016/33970
UL https://hdl.handle.net/10016/33970
LA eng
NO This work has been partially supported by EC H2020 5GPPP 5Growth project (Grant 856709).
DS e-Archivo
RD 1 sept. 2024