Transport networks are evolving to be more and more automated and driven by software to
minimize the operational costs and to provide new services and applications in a quicker …

The objective of this thesis is the application of machine learning approaches to perform
routing and wavelength assignment in wavelength division multiplexed optical networks …

Field learnings of deploying model assisted network feedback systems Page 1 Field Learnings
of Deploying Model Assisted Network Feedback Systems Alex W. MacKay, David W. Boertjes …

Integration and full interoperability are challenging areas of research in wide area networks
today. A European project, MUPBED, has recently concluded and achieved the main result …

The future demand for digital information will exceed the capabilities of current optical
communication systems, which are approaching their limits due to component and fiber …

This paper examines applying machine learning to the assessment of the quality of the
transmission in optical networks. The motivation for research into this problem derives from …

Optical Network (ON) has also become superior as a highly promising Network
communication innovation, expanding popular applications and administration such as …

Four capabilities for highly efficient and reliable multi-vendor optical networks are discussed.
We then review the specific three technologies as an example, which demonstrates the …

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

Terabit elastic optical networking (EON) is foreseen as a viable solution to extend the
lifetime of a network exploiting the available bandwidth in previously deployed optical fibers …