5Growth: An End-to-End Service Platform for Automated Deployment and Management of Vertical Services over 5G Networks
Li, X.
; Garcia-Saavedra, A.
; Costa-Perez, X.
; Bernardos, C.
;
Guimarães, C.
; Antevski, K.
; Mangues-Bafalluy, J.
; Baranda, J.
; Zeydan, E.
;
Corujo, D.
; Iovanna, P.
; Landi, G.
; Piedra, J.
; Paixão, P.
; Martings, H.
; Lorenzo, M.
; Lucena, J.
; Lopez, DL
IEEE Communications Magazine Vol. 59, Nº 3, pp. 84 - 90, March, 2021.
ISSN (print): 0163-6804
ISSN (online):
Scimago Journal Ranking: 5,15 (in 2021)
Digital Object Identifier: 10.1109/MCOM.001.2000730
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Abstract
This article introduces the key innovations of the
5Growth service platform to empower verticals industries with
an AI-driven automated 5G End-to-End (E2E) slicing solution
which 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 (SLA) 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.
