AI-based modeling and monitoring techniques for future intelligent elastic optical networks
With the development of 5G technology, high definition video and internet of things, the
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …
capacity demand for optical networks has been increasing dramatically. To fulfill the capacity …
GNPy: an open source application for physical layer aware open optical networks
In this paper, we describe the validation of GNPy. GNPy is an open source application that
approaches the optical layer according to a disaggregated paradigm, and its core engine is …
approaches the optical layer according to a disaggregated paradigm, and its core engine is …
A closed-form approximation of the Gaussian noise model in the presence of inter-channel stimulated Raman scattering
An accurate, closed-form expression evaluating the nonlinear interference (NLI) power in
coherent optical transmission systems in the presence of inter-channel stimulated Raman …
coherent optical transmission systems in the presence of inter-channel stimulated Raman …
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 …
Assessment on the in-field lightpath QoT computation including connector loss uncertainties
Reliable and conservative computation of the quality of transmission (QoT) of transparent
lightpaths (LPs) is a crucial need for software-defined control and management of the …
lightpaths (LPs) is a crucial need for software-defined control and management of the …
Bandwidth variable transceivers with artificial neural network-aided provisioning and capacity improvement capabilities in meshed optical networks with cascaded …
We investigate the capacity improvement achieved by bandwidth variable transceivers
(BVT) in meshed optical networks with cascaded ROADM filtering at fixed channel spacing …
(BVT) in meshed optical networks with cascaded ROADM filtering at fixed channel spacing …
Modelling the delayed nonlinear fiber response in coherent optical communications
Fiber nonlinearities, that lead to nonlinear signal distortion, are normally considered to be
the result of an instantaneous material response with respect to the optical field. However, in …
the result of an instantaneous material response with respect to the optical field. However, in …
Spectral overlapping estimation based on machine learning for gridless Nyquist-wavelength division multiplexing systems
We propose two methods based on machine learning algorithms to estimate the level of
spectral overlapping in a specific optical channel, without information of adjacent channels …
spectral overlapping in a specific optical channel, without information of adjacent channels …
Optical filtering penalty estimation using artificial neural network in elastic optical networks with cascaded reconfigurable optical add–drop multiplexers
B Zhang, R Zhang, Q Zhang, X Xin - Optical Engineering, 2019 - spiedigitallibrary.org
For future elastic optical networks, the narrow filtering effect induced by cascaded
reconfigurable optical add–drop multiplexers (ROADMs) is one of the major impairments. It …
reconfigurable optical add–drop multiplexers (ROADMs) is one of the major impairments. It …
Application of machine learning in elastic optical networks
Q Zhuge, W Hu - 2018 European Conference on Optical …, 2018 - ieeexplore.ieee.org
Machine learning (ML) techniques have been adopted in elastic optical networks to enable
automated operations and extract more capacity from the physical layer. We review and …
automated operations and extract more capacity from the physical layer. We review and …