There has been an increase in demand of optical networks over the recent years due to
which they have become sources of heterogeneous data. Several other challenges such as …

Modern elastic optical networking requires additional flexibility at each layer compared to
the traditional approach. The application of the Software-defined Networking (SDN) …

In order to activate high-data-rate connectivity, super-channel transmission strategy is
becoming a suitable solution. Optical Software Defined Networking (OSDN) architecture …

The reduction of system margin in open optical line systems (OLSs) requires the capability to
predict the quality of transmission (QoT) within them. This quantity is given by the …

Global optimization of optical network elements (NEs) is a potential solution to provide
optical signal-to-noise ratio (OSNR) requirements for high spectrally-efficient (SE) …

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 …

Machine learning (ML) offers a great variety of algorithms that can be used in the context of
optical networks. In particular, ML algorithms might be applied for classification and to detect …

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

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 …

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