Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Not Accessible

Your library or personal account may give you access

Abstract

We experimentally achieve a 19% capacity gain per Watt of electrical supply power in a 12-span link by eliminating gain flattening filters and optimizing launch powers using deep neural networks in a parallel fiber context.

© 2020 The Author(s)

PDF Article
More Like This
Capacity Maximization of Power-constrained Submarine Systems

A. Bononi, J. Tiburcio de Araujo, C. Lasagni, P. Serena, and J-C. Antona
M2C.3 Optical Fiber Communication Conference (OFC) 2022

The Capacity of Quantum Neural Networks

Logan G. Wright and Peter L. McMahon
JM4G.5 CLEO: Applications and Technology (CLEO:A&T) 2020

Design Optimisation of Power-Efficient Submarine Line through Machine Learning

Maria Ionescu, Amirhossein Ghazisaeidi, Jérémie Renaudier, Pascal Pecci, and Olivier Courtois
STh4M.5 CLEO: Science and Innovations (CLEO:S&I) 2020

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved