Deep learning and deep transfer learning-based OPM for FMF systems

MA Amirabadi, MH Kahaei… - Physical Communication, 2023 - Elsevier
Optical performance monitoring (OPM) is indispensable to guarantee stable and reliable
operation in few-mode fiber (FMF)-based transmission. OPM consists of measuring optical …

Effective Impact of Modulation on Interchannel Nonlinear Effects in Realistic Submarine Links with Commercial Transceivers

J Girard-Jollet, JC Antona, ACM Alcatel… - 2023 Asia …, 2023 - ieeexplore.ieee.org
We measure the GSNR of a subsea link with three different realtime transceivers for various
link reaches and input powers. We experimentally show that, contrary to what the eGN …

Network-wide QoT Estimation Using SGD with Gradient Transfer Between Wavelengths

KS Mayer, JA Soares, MPA Dal Maso… - Optical Fiber …, 2024 - opg.optica.org
Network-wide QoT Estimation Using SGD with Gradient Transfer Between Wavelengths Page 1
Network-wide QoT Estimation Using SGD with Gradient Transfer Between Wavelengths Kayol S …

Deep Learning for QoT Estimation in SMF and FMF Links

MA Amirabadi, MH Kahaei… - 2022 Asia …, 2022 - ieeexplore.ieee.org
Deep Learning for QoT Estimation in SMF and FMF Links Page 1 MA Amirabadi Iran University
of Science and Technology Tehran, Iran m−amirabadi@elec.iust.ac.ir MH Kahaei Iran …

DNN-based QoT Estimation Using Topological Inputs and Training with Synthetic-Physical Data

KS Mayer, LCM Dos Santos, RP Pinto… - 2023 IEEE Photonics …, 2023 - ieeexplore.ieee.org
We propose a DNN-based QoT estimation technique that operates on a network-wide scale.
The DNN training data is composed of connection paths, frequency slots, and OSNR …

[PDF][PDF] Estimação Precisa da Qualidade de Transmissão com Redes Neurais Profundas para Sistemas Ópticos Densos

JVA Garcês, IM Moraes, D Mattos - biblioteca.sbrt.org.br
O advento de novas tecnologias e aplicações de Internet tem aumentado a necessidade de
um transporte de dados de alta taxa de transmissão e confiável. Redes ópticas DWDM …