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 …

During the last decade, optical networks have become “smart networks”. Software-defined
networks, software-defined optical networks, and elastic optical networks are some …

Machine learning (ML) has achieved phenomenal success in revolutionizing a number of
science and engineering disciplines over the last decade. Naturally, it is also being …

Machine learning (ML) is widely being regarded as a powerful technology to solve various
complex problems in fiber-optic communication networks. Recently, ML algorithms have …

Missing Pieces Currently Preventing Effective Application of Machine Learning to QoT
Estimation in the Field Page 1 Missing Pieces Currently Preventing Effective Application of …

An effective solution to the looming capacity crunch is to use a fine-grained flexible
frequency grid for elastic optical transmission and space division multiplexing (SDM) in …

This paper provides an overview of the missing pieces currently preventing effective
application of machine learning in the field. We discuss access to field data and we perform …