A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases

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dc.contributor.authorTrakadas, P.
dc.contributor.authorSarakis, L.
dc.contributor.authorGiannopoulos, A.
dc.contributor.authorSpantideas, S.
dc.contributor.authorCapsalis, N.
dc.contributor.authorGkonis, P.
dc.contributor.authorKarkazis, P.
dc.contributor.authorRigazzi, G.
dc.contributor.authorAntonopoulos, A.
dc.contributor.authorCambeiro, M. A.
dc.contributor.authorGonzalez-Diaz, S.
dc.contributor.authorConceição, L.
dc.date.accessioned2021-12-23T13:18:08Z
dc.date.available2021-12-23T13:18:08Z
dc.date.issued2021
dc.description.abstractThe provision of high data rate services to mobile users combined with improved quality of experience (i.e., zero latency multimedia content) drives technological evolution towards the design and implementation of fifth generation (5G) broadband wireless networks. To this end, a dynamic network design approach is adopted whereby network topology is configured according to service demands. In parallel, many private companies are interested in developing their own 5G networks, also referred to as non-public networks (NPNs), since this deployment is expected to leverage holistic production monitoring and support critical applications. In this context, this paper introduces a 5G NPN architectural approach, supporting among others various key enabling technologies, such as cell densification, disaggregated RAN with open interfaces, edge computing, and AI/ML-based network optimization. In the same framework, potential applications of our proposed approach in real world scenarios (e.g., support of mission critical services and computer vision analytics for emergencies) are described. Finally, scalability issues are also highlighted since a deployment framework of our architectural design in an additional real-world scenario related to Industry 4.0 (smart manufacturing) is also analyzed.en_ES
dc.identifier.citationTrakadas, P., Sarakis, L., Giannopoulos, A., Spantideas, S., Capsalis, N., Gkonis, P., Karkazis, P., Rigazzi, G., Antonopoulos, A., Cambeiro, M. A., Gonzalez-Diaz, S., & Conceição, L. (2021). A Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Cases. En Sensors (Basel) (Vol. 21, Número 16). https://doi.org/10.3390/s21165578en_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://repositoriobibliotecas.uv.cl/handle/uvscl/3227
dc.language.isoen_USen_ES
dc.publisherSensors (Basel)en_ES
dc.subjectMULTIMEDIAen_ES
dc.subjectSOCIAL NETWORKING TECHNOLOGYen_ES
dc.subjectWIRELESS TECHNOLOGY 5G AIen_ES
dc.subjectML BASED NETWORKen_ES
dc.subjectOPTIMIZATION O-RANen_ES
dc.subjectNETWORK MONITORING AND TELEMETRY PRIVATEen_ES
dc.subjectNETWORKS TIMEen_ES
dc.subjectSENSITIVE NETWORKINGen_ES
dc.titleA Cost-Efficient 5G Non-Public Network Architectural Approach: Key Concepts and Enablers, Building Blocks and Potential Use Casesen_ES
dc.typeArticuloen_ES
dc.ubicacionhttps://doi.org/10.3390/s21165578en_ES
uv.catalogadorSGGen_ES
uv.colectionBibliografía 5Gen_ES

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