Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
2024
This paper presents the design and implementation of an Artificial Intelligence Control Plane (AICP) for deterministic networks, emphasizing the Proof-of-Concept (PoC) demonstration. The AICP framework integrates AI, digital twin technology, and real-time telemetry to manage complex network environments, ensuring reliable and low-latency communication. The PoC showcases the practical viability of the AICP by dynamically adapting to varying network demands and maintaining stringent to the Key Performance Indicator (KPI)s of the service. Extensive testing and real-world simulations highlight the framework's potential to enhance the efficiency and resilience of industrial communication networks.
This work has been partially funded by the European Commission Horizon Europe SNS JU PREDICT-6G (GA101095890) Project and by the Spanish Ministry of Economic Affairs and Digital Transformation and the European Union-Next Generation EU through the UNICO 5G I+D 6G-EDGEDT-4 (TSI-063000-2021-124).
Peer Reviewed
Postprint (author's final draft)
Conference report
English
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors; Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial; Deterministic network controller; Network management services; Control plane; Multi-domain networks
Association for Computing Machinery (ACM)
https://dl.acm.org/doi/abs/10.1145/3636534.3696725
info:eu-repo/grantAgreement/EC/HE/101095890/EU/PRogrammable AI-Enabled DeterminIstiC neTworking for 6G/PREDICT-6G
Open Access
E-prints [73020]