Networks are complex interacting systems involving cloud operations, core and metro
transport, and mobile connectivity all the way to video streaming and similar user …

We describe two applications of machine learning in the context of internet protocol
(IP)/Optical networks. The first one allows agile management of resources in a core …

Accurate real-time availability of transmission parameters at the network controller has the
potential to significantly improve the efficiency of control and management operations …

With the rapid development of Internet and communication systems, both in the aspect of
services and technologies, communication networks have been suffering increasing …

Digital twin (DT) is a promising technology for the new immersive digital life with a variety of
applications in areas such as Industry 4.0, aviation, and healthcare. Proliferation of this …

Optical communications and networking are fast becoming the solution to support ever-
increasing data traffic across all segments of the network, expanding from core/metro …

With the development of 5G technology, high definition video and internet of things, the
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …

We propose a cognitive scalable method based on neural networks to address dynamic and
agile provisioning of optical physical layer without prior knowledge of network specifications …

Machine learning (ML) is more and more used to address the challenges of managing the
physical layer of increasingly heterogeneous and complex optical networks. In this tutorial …

Precise computation of the quality of transmission (QoT) of lightpaths (LPs) in transparent
optical networks has techno-economic importance for any network operator. The QoT metric …