dc.contributor
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor
Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
dc.contributor.author
Calvillo Fernández, Alejandro
dc.contributor.author
Ravalli, Matteo
dc.contributor.author
Brenes Baranzano, Juan
dc.contributor.author
Carcel Cervera, José Luis
dc.contributor.author
Rico Menendez, David
dc.contributor.author
Agraz Bujan, Fernando
dc.contributor.author
Giardina, Pietro G.
dc.contributor.author
Spadaro, Salvatore
dc.contributor.author
Velasco Esteban, Luis Domingo
dc.identifier
Calvillo, A. [et al.]. Artificial Intelligence Control Plane for deterministic networks Proof-of-Concept. A: Annual International Conference on Mobile Computing and Networking. «ACM MobiCom'24: proceedings of the Thirtieth International Conference on Mobile Computing and Networking: November 18-November 22, 2024, Washington D.C., DC, USA». New York: Association for Computing Machinery (ACM), 2024, p. 2407-2412. ISBN 979-8-4007-0489-5. DOI 10.1145/3636534.3696725 .
dc.identifier
979-8-4007-0489-5
dc.identifier
https://hdl.handle.net/2117/448976
dc.identifier
10.1145/3636534.3696725
dc.description.abstract
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.
dc.description.abstract
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).
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (author's final draft)
dc.format
application/pdf
dc.publisher
Association for Computing Machinery (ACM)
dc.relation
https://dl.acm.org/doi/abs/10.1145/3636534.3696725
dc.relation
info:eu-repo/grantAgreement/EC/HE/101095890/EU/PRogrammable AI-Enabled DeterminIstiC neTworking for 6G/PREDICT-6G
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial
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Deterministic network controller
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Network management services
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Multi-domain networks
dc.title
Artificial Intelligence Control Plane for deterministic networks Proof-of-Concept
dc.type
Conference report
