Supply-Power-Constrained Cable Capacity Maximization Using Deep Neural Networks
Cho, Junho, Chandrasekhar, Sethumadhavan, Sula, Erixhen, Olsson, Samuel, Burrows, Ellsworth, Raybon, Greg, Ryf, Roland, Fontaine, Nicolas, Antona, Jean-Christophe, Grubb, Steve, Winzer, Peter, Chraplyvy, Andrew
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 machine learning by deep neural networks in a massively parallel fiber context.
Oct-2-2019
- Country:
- Europe
- France (0.04)
- Germany > North Rhine-Westphalia
- Düsseldorf Region > Düsseldorf (0.04)
- Switzerland > Vaud
- Lausanne (0.04)
- North America > United States
- California > San Mateo County
- Menlo Park (0.04)
- Louisiana > Orleans Parish
- New Orleans (0.04)
- California > San Mateo County
- Europe
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- Research Report (0.64)
- Industry:
- Energy > Power Industry (0.63)
- Technology: