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conference paper
Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks
January 1, 2020
2020 Optical Fiber Communications Conference And Exposition (Ofc)
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. (C) 2020 The Authors
Type
conference paper
Web of Science ID
WOS:000676346200173
Authors
Cho, Junho
•
Chandrasekhar, Sethumadhavan
•
•
Olsson, Samuel
•
Burrows, Ellsworth
•
Raybon, Greg
•
Ryf, Roland
•
Fontaine, Nicolas
•
Antona, Jean-Christophe
•
Grubb, Steve
Publication date
2020-01-01
Publisher
Published in
2020 Optical Fiber Communications Conference And Exposition (Ofc)
ISBN of the book
978-1-9435-8071-2
Publisher place
New York
Peer reviewed
REVIEWED
EPFL units
| Event name | Event place | Event date |
San Diego, CA | Mar 08-12, 2020 | |
Available on Infoscience
August 28, 2021
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