Provisioning in multi-band optical networks
Multi-band (MB) optical transmission promises to extend the lifetime of existing optical fibre
infrastructures, which usually transmit within the C-band only, with C+ L-band being also …
infrastructures, which usually transmit within the C-band only, with C+ L-band being also …
Modeling EDFA gain ripple and filter penalties with machine learning for accurate QoT estimation
A Mahajan, K Christodoulopoulos… - Journal of Lightwave …, 2020 - opg.optica.org
For reliable and efficient network planning and operation, accurate estimation of Quality of
Transmission (QoT) before establishing or reconfiguring the connection is necessary. In …
Transmission (QoT) before establishing or reconfiguring the connection is necessary. In …
End-to-end learning of geometrical shaping maximizing generalized mutual information
GMI-based end-to-end learning is shown to be highly nonconvex. We apply gradient
descent initialized with Gray-labeled APSK constellations directly to the constellation …
descent initialized with Gray-labeled APSK constellations directly to the constellation …
An overview on machine learning-based solutions to improve lightpath QoT estimation
Estimating lightpath Quality of Transmission (QoT) is crucial in network design and service
provisioning. Recent studies have turned to Machine Learning (ML) techniques to improve …
provisioning. Recent studies have turned to Machine Learning (ML) techniques to improve …
Control of open and disaggregated transport networks using the Open Network Operating System (ONOS)
Use of disaggregated equipment in optical transport networks is emerging as an attractive
solution to bring flexibility and break vendor lock-in dependencies. The disaggregation …
solution to bring flexibility and break vendor lock-in dependencies. The disaggregation …
Accurate closed-form real-time EGN model formula leveraging machine-learning over 8500 thoroughly randomized full C-band systems
MR Zefreh, F Forghieri, S Piciaccia… - Journal of Lightwave …, 2020 - opg.optica.org
We derived an approximate non-linear interference (NLI) closed-form model (CFM), capable
of handling a very broad range of optical WDM system scenarios. We tested the CFM over …
of handling a very broad range of optical WDM system scenarios. We tested the CFM over …
An overview of ML-based applications for next generation optical networks
Over the past few decades, the demand for the capacity and reliability of optical networks
has continued to grow. In the meantime, optical networks with larger knowledge scales have …
has continued to grow. In the meantime, optical networks with larger knowledge scales have …
Assessing capacity and cost/capacity of 4-core multicore fibers against single core fibers in submarine cable systems
We assess the potential applicability and performance of multicore fibers (MCFs) against
conventional single-core fibers (SCFs) in submarine transmission systems. In particular, we …
conventional single-core fibers (SCFs) in submarine transmission systems. In particular, we …
Optical transport network design beyond 100 Gbaud
Optical line interface technology has been the key enabler to reduce the cost per bit
transported, thus cost-effectively scaling optical transport networks and mitigating or even …
transported, thus cost-effectively scaling optical transport networks and mitigating or even …
Machine learning methods for optical communication systems and networks
Abstract Machine learning (ML) is being hailed as a new direction of innovation to transform
future optical communication systems. Signal processing paradigms based on ML are being …
future optical communication systems. Signal processing paradigms based on ML are being …