2026-04-28T21:12:24Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/745022025-01-28T20:04:10Zcom_10324_1191com_10324_931com_10324_894col_10324_1379

González de Dios, Óscar Armingol Robles, Pablo Roelens, Liesbeth Muñiz-Da-Costa, Alejandro Miguel Jiménez, Ignacio de Durán Barroso, Ramón José Fernández-Palacios, Juan Pedro 2025-01-28T11:30:45Z 2025-01-28T11:30:45Z 2025 Journal of Optical Communications and Networking, February 2025, vol. 17, no. 2, pp. A124-133 1943-0620 https://uvadoc.uva.es/handle/10324/74502 10.1364/JOCN.537463 A124 2 A133 Journal of Optical Communications and Networking 17 1943-0639 With increasing demand for customized connectivity, transport networks must evolve towards autonomous and customer-driven network management. This paper presents a comprehensive overview of network autonomy and the challenges associated with evolving toward higher levels of autonomy. Moreover, various use cases of artificial intelligence in network automation in IP-over-DWDM transport networks are also analyzed, in particular related to traffic prediction, quality of transmission, anomaly detection, network planning, and proactive failure management. Additionally, the role of generative AI in network operation is explored. Central to our discussion is a proposed control architecture based on open and standard SDN APIs, which incorporates network slicing for multi-layer transport networks and enables real-time access to normalized data, facilitating autonomous network operation. eng info:eu-repo/semantics/openAccess © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement (https://doi.org/10.1364/OA_License_v2#VOR-OA) Automation of multi-layer multi-domain transport networks and the role of AI [Invited] info:eu-repo/semantics/article