Today's telecommunication networks have become sources of enormous amounts of widely
heterogeneous data. This information can be retrieved from network traffic traces, network …

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 …

Estimating the quality of transmission (QoT) of a candidate lightpath prior to its establishment
is of pivotal importance for effective decision making in resource allocation for optical …

In optical transport networks the quality of transmission (QoT) is estimated before
provisioning new connections or upgrading existing ones. Traditionally, a physical layer …

For optical networks, routing and resource allocation which considerably determines the
resource efficiency and network capacity is one of the most important works. It has been …

In optical networks, a connection (eg, light-path and light-tree) is set up to carry data from its
source to destination (s). When the optical signal transmits through the fiber links and optical …

With ever-increasing traffic, the need of more dynamic, flexible, and autonomous optical
networks is more important than ever. The availability of performance monitoring data makes …

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 …

In this article, artificial neural network (ANN)-based multi-channel Q-factor prediction is
investigated with real-time network operation and configuration information over a 563.4-km …