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 …

A simple and effective closed-form GN model correction formula accounting for signal non-Gaussian distribution

P Poggiolini, G Bosco, A Carena, V Curri… - Journal of Lightwave …, 2015 - opg.optica.org
The GN model of nonlinear fiber propagation has been shown to overestimate the variance
of nonlinearity due to the signal Gaussianity approximation, leading to maximum reach …

Perturbation analysis of nonlinear propagation in a strongly dispersive optical communication system

P Johannisson, M Karlsson - Journal of Lightwave Technology, 2013 - ieeexplore.ieee.org
We discuss an analytical model that predicts the impact of the Kerr nonlinearity in optical
communication systems when the signal spectrum is wide and the accumulated dispersion …

A survey on QoT prediction using machine learning in optical networks

L Zhang, X Li, Y Tang, J Xin, S Huang - Optical Fiber Technology, 2022 - Elsevier
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 …

Multi-band elastic optical networks: inter-channel stimulated Raman scattering-aware routing, modulation level and spectrum assignment

M Mehrabi, H Beyranvand, MJ Emadi - Journal of Lightwave …, 2021 - opg.optica.org
Recently, multi-band elastic optical networks (MB-EONs) have been introduced to increase
the transmission capacity of optical networks by expanding the transmission frequency …

Associating machine-learning and analytical models for quality of transmission estimation: combining the best of both worlds

E Seve, J Pesic, Y Pointurier - Journal of Optical Communications …, 2021 - opg.optica.org
By associating machine learning and an analytical model (ie, the Gaussian noise model),
we reduce uncertainties on the output power profile and the noise figure of each amplifier in …

Toward efficient, reliable, and autonomous optical networks: the ORCHESTRA solution

K Christodoulopoulos, C Delezoide… - Journal of Optical …, 2019 - opg.optica.org
Optical networks have historically been designed to be operated statically. Connections are
overprovisioned so that they remain uninterrupted over several (eg, 10) years, using high …

Comparison of fast quality of transmission estimation methods for C+ L+ S optical systems

A Souza, N Costa, J Pedro, J Pires - Journal of Optical …, 2023 - opg.optica.org
Due to the high potential of multi-band transmission (MBT) systems as a short-to medium-
term solution to the ever-increasing demand for fiber capacity, one of the recent areas of …

[图书][B] Enabling technologies for high spectral-efficiency coherent optical communication networks

X Zhou, C Xie - 2016 - books.google.com
Enabling Technologies for High Spectral-efficiency Coherent Optical Communication
Networks Presents the technological advancements that enable high spectral-efficiency and …

Network planning with actual margins

P Soumplis, K Christodoulopoulos… - Journal of Lightwave …, 2017 - ieeexplore.ieee.org
To ensure uninterrupted communication in optical transport networks, the common practice
is to overprovision lightpaths in terms of capacity and physical layer performance. Over …