Dynamic MEC resource management for URLLC in Industry X.0 scenarios: A quantitative approach based on digital twin networks

  1. Becattini, M.
  2. Carnevali, L.
  3. Fontani, G.
  4. Paroli, L.
  5. Scommegna, L.
  6. Masoumi, M.
  7. De Miguel, I.
  8. Brasca, F.
Actas:
2024 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd4.0 and IoT 2024 - Proceedings

ISBN: 9798350385823

Año de publicación: 2024

2024 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd4.0 and IoT 2024 - Proceedings

Páginas: 372-376

Tipo: Aportación congreso

DOI: 10.1109/METROIND4.0IOT61288.2024.10584165 GOOGLE SCHOLAR
Fuente de los datos: Scopus