To support the development of intelligent optical networks, accurate modeling of the physical
layer is crucial. Digital twin (DT) modeling, which relies on continuous learning with real-time …

Optical communication is developing rapidly in the directions of hardware resource
diversification, transmission system flexibility, and network function virtualization. Its …

The development of digital twins to represent the optical transport network might enable
multiple applications for network operation, including automation and fault management. In …

Architecture to Deploy and Operate a Digital Twin Optical Network Page 1 Architecture to
Deploy and Operate a Digital Twin Optical Network R. Vilalta1, R. Casellas1, Ll. Gifre1 R …

With the advancements of high-resolution cameras, highly sensitive photodetectors, and
energy-efficient light-emitting-diodes, optical wireless communication (OWC) has emerged …

Optical networks generate a vast amount of diagnostic, control, and performance monitoring
data. When information is extracted from these data, reconfigurable network elements and …

It is estimated that 5G and the Internet of Things (IoT) will impact traffic, both in volume and
dynamicity, at unprecedented rates. Thus, to cost-efficiently accommodate these challenging …

Applications of machine learning (ML) models in optical communications and networks have
been extensively investigated. For an optical wavelength-division-multiplexing (WDM) …

We discuss various applications of machine learning techniques in different aspects of
optical communications and networking including optical performance monitoring, fiber …

We have proposed a dynamically configurable and fast optical impairment model for the
abstraction of the optical physical layer, enabling new capabilities such as indirect …