One of the possible ways to address the constantly increasing amount of heterogeneous
and variable internet traffic is the evolution of the current optical networks towards a more …

In this paper, data plane alternatives for optical performance monitoring are presented as
enablers to address the key challenges in disaggregated optical networks. In fact, a key …

In this thesis we present our novel contributions in the field of open and disaggregated
optical networks. Telecom operators are facing an increasing capacity demand due to the …

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 …

We propose a novel digital spectrum feature extraction method and demonstrate its
effectiveness. Dual-stage soft failure detection structure is employed to reduce the …

This Ph. D. thesis focuses on the reliable autonomous operation of multilayer optical
networks. The first objective focuses on the reliability of the optical network and proposes …

The Intent Based Networking paradigm targets at defining high-level abstractions, so
network operators can define what are their desired outcomes without specifying how they …

Data deluge is characterizing the evolution of telecommunication networking [1]. Each next
generation networking segment, technology and architecture will be designed with a special …

We demonstrate a digital twin for failure detection in optical networks. Artificial neural
networks-based models for optical constellation analysis enable predicting the transmitted …

Robustness of Digital Spectrum-based Filter Failure Identification when Filter Tightening &
Filter Shift Co-Exist Page 1 C2F_2.pdf CLEO Pacific Rim 2020 © IEEE 2020 Robustness of …