Author:
Maman Mickael,Calvanese-Strinati Emilio,Dinh Lam Ngoc,Haustein Thomas,Keusgen Wilhelm,Wittig Sven,Schmieder Mathis,Barbarossa Sergio,Merluzzi Mattia,Costanzo Francesca,Sardellitti Stefania,Klessig Henrik,Kendre Savita Vitthalrao,Munaretto Daniele,Centenaro Marco,di Pietro Nicola,Liang Shuo-Peng,Chih Kuan-Yi,Luo Jack Shi-Jie,Kao Ling-Chih,Huang Jiun-Cheng,Huang Jen-Sheng,Wang Tzu-Ya
Abstract
AbstractPrivate networks will play a key role in 5G and beyond to enable smart factories with the required better deployment, operation and flexible usage of available resource and infrastructure. 5G private networks will offer a lean and agile solution to effectively deploy and operate services with stringent and heterogeneous constraints in terms of reliability, latency, re-configurability and re-deployment of resources as well as issues related to governance and ownership of 5G components, and elements. In this paper, we present a novel approach to operator models, specifically targeting 5G and beyond private networks. We apply the proposed operator models to different network architecture options and to a selection of relevant use cases offering mixed private–public network operator governance and ownership. Moreover, several key enabling technologies have been identified for 5G private networks. Before the deployment, stakeholders should consider spectrum allocation and on-site channel measurements in order to fully understand the propagation characteristic of a given environment and to set up end-to-end system parameters. During the deployment, a monitoring tools will support to validate the deployment and to make sure that the end-to-end system meet the target KPI. Finally, some optimization can be made individually for service placement, network slicing and orchestration or jointly at radio access, multi-access edge computing or core network level.
Funder
European Union H2020 / Taiwan Project
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Signal Processing
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