We demonstrate a digital twin for failure detection in optical networks. Artificial neural networks-based models for optical constellation analysis enable predicting the transmitted …
Machine Learning (ML) has already proven its benefits for network operation, being a sub- domain of artificial intelligence, it is highly suitable for complex system representation. In this …
Recent years have seen an unprecedented growth of data traffic driven by a continuous increase of connected devices and new applications. This trend will tend to saturate …
S Cruzes - Authorea Preprints, 2023 - techrxiv.org
Innovations in optical networks created new technological challenges as routing and spectrum allocation (RSA) problem, fragmented spectrum, the need for rapid and efficient …
Estimating lightpath Quality of Transmission (QoT) is crucial in network design and service provisioning. Recent studies have turned to artificial intelligence (AI) techniques to improve …
In optical transport networks, the urgent demand for control efficiency and intelligence has become one of the most significant challenges for telecom operators. With the development …
L Velasco, M Ruiz - 2020 22nd International Conference on …, 2020 - ieeexplore.ieee.org
Increased levels of automation will be necessary in view of more stringent performance requirements that next generation optical transport networks need to support in a near term …
L Velasco, M Ruiz - 2019 21st International Conference on …, 2019 - ieeexplore.ieee.org
Increased levels of automation will be necessary in view of more stringent performance requirements that next generation optical transport networks need to support in a near term …