Boosting 5G on Smart Grid Communication: A Smart RAN Slicing Approach
Fifth-generation (5G) and beyond systems are expected to accelerate the ongoing transformation of power systems toward the smart grid. However, the inherent heterogeneity in smart grid services and requirements pose significant challenges toward the definition of a unified network architecture. In t...
| Autores: | , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) |
| Repositorio: | r-CTTC. Repositorio Institucional Producción Científica del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) |
| OAI Identifier: | oai:cttc.fundanetsuite.com:p8329 |
| Acceso en línea: | https://cttc.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=8329 |
| Access Level: | acceso abierto |
| Palabra clave: | Smart grids 5G mobile communication Monitoring Business Ultra reliable low latency communication Reliability Power systems |
| Sumario: | Fifth-generation (5G) and beyond systems are expected to accelerate the ongoing transformation of power systems toward the smart grid. However, the inherent heterogeneity in smart grid services and requirements pose significant challenges toward the definition of a unified network architecture. In this context, radio access network (RAN) slicing emerges as a key 5G enabler to ensure interoperable connectivity and service management in the smart grid. This article introduces a novel RAN slicing framework which leverages the potential of artificial intelligence (Al) to support IEC 61850 smart grid services. With the aid of deep reinforcement learning, efficient radio resource management for RAN slices is attained, while conforming to the stringent performance requirements of a smart grid self-healing use case. Our research outcomes advocate the adoption of emerging Al-native approaches for RAN slicing in beyond-5G systems, and lay the foundations for differentiated service provisioning in the smart grid. |
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