Research into all optical network (AON) technology has been ongoing over the past decade,
and new features are constantly being developed. The advantages of AON include large …

Elastic optical networks (EONs) have been receiving extensive attention because of their
inherent flexibility and the efficiency with which they allocate fiber-bandwidth. For an EON …

Increased global traffic puts tough requirements not just on fiber communications links but
on the entire network. This manifests itself in multiple ways, including how to optimize …

Machine Learning (ML) is under intense investigation in optical networks as it promises to
lead to automation of a variety of management tasks, as amplifier gain equalization, fault …

Application of few-mode transmission (FMT) in transport optical network is currently under
scrutiny, especially for metro networks, where shorter distances and pressing traffic increase …

We present an optimization procedure that mixes advanced large-scale optimization
methods and heuristics to solve large instances (with over 1.7 million integer variables) of …

Backbone networks are evolving toward elastic optical network (EON) architecture that
allows a flexible and efficient use of spectrum resources. Flexibility in EONs is also …

Machine learning (ML)-based methods are being widely explored to predict the quality of
transmission (QoT) of a lightpath. They are expected to reduce the signal-to-noise ratio …

Abstract Elastic Optical Networks (EONs) using a flexible wavelength allocation technique
with smaller granularity of spectrum can improve the efficiency and flexibility for diverse …

The elastic light-trail technology reigning the recent trend for data communication in elastic
optical network (EON) prominently. Here, the Orthogonal Frequency Division Multiplexing …