Cost-Efficient 5G Non-Public Network Roll-Out: The Affordable5G Approach

The era of 5G broadband wireless networks is inextricably connected with the provision of high data rates to mobile users, as well as bandwidth demanding and low latency applications. While large scale deployments of 5G Public Networks are ongoing, enterprises are interested to deploy their own 5G N...

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Detalles Bibliográficos
Autores: Coronado, Estefania, Siddiqui, Shuaib, Sarakis, Lambros, Trakadas, Panagiotis, Prior, Simon, Trullols-Cruces, Oscar, Centenaro, Marco, Atxutegi, Eneko, Gkonis, Panagiotis, Gonzalez-Diaz, Sergio, Antonopoulos, Angelos, Merino, Pedro
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2021
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2072/531538
Acceso en línea:http://hdl.handle.net/2072/531538
Access Level:acceso abierto
Palabra clave:Xarxes d'àrea extensa (Ordinadors)
5G / 6G & Internet of Things
Network Functions Virtualisation (NFV)
Artificial Intelligence
Network Slicing
Orchestration
Software Networks
621.3
Descripción
Sumario:The era of 5G broadband wireless networks is inextricably connected with the provision of high data rates to mobile users, as well as bandwidth demanding and low latency applications. While large scale deployments of 5G Public Networks are ongoing, enterprises are interested to deploy their own 5G Non Public Networks (NPNs), customized to better serve their specific use cases. To this end, the goal of this paper is to present an architectural approach for cost-efficient 5G Standalone NPN deployment, leveraging cell densification, disaggregated RAN with open interfaces, edge computing and AI/ML-based network optimization. For this purpose, open solutions, such as O-RAN and MANO frameworks for cloud native micro-service deployments are adopted. Furthermore, research, development and deployment challenges are also discussed.