The artificial intelligence (AI) revolution offers significant opportunities to capitalise on the
growth of digitalisation and has the potential to enable the 'system of systems' approach …

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

The estimation of the quality of transmission (QoT) in optical systems with machine learning
(ML) has recently been the focus of a large body of research. We discuss the sources of …

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

In face of staggering traffic growth driven by cloud-based platforms, modern optical networks—
forming the backbone of such connectivity—are faced with increasing requirements in terms …

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 …

The interconnection of all things is developing a new diagram of future information networks.
However, it is difficult to realize future applications with only one single technique …

Estimating the Quality of Transmission (QoT) of the optical signal from source to destination
nodes is the cornerstone of design engineering and service provisioning in optical transport …

Machine learning (ML) is currently being investigated as an emerging technique to automate
quality of transmission (QoT) estimation during lightpath deployment procedures in optical …

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 …