Design Optimisation of Power-Efficient Submarine Line through Machine Learning
| Title: | Design Optimisation of Power-Efficient Submarine Line through Machine Learning |
|---|---|
| Authors: | Ionescu, Maria, Ghazisaeidi, Amirhossein, Renaudier, Jérémie, Pecci, Pascal, Courtois, Olivier |
| Publication Year: | 2020 |
| Subject Terms: | Electrical Engineering and Systems Science - Signal Processing |
| More Details: | An optimised subsea system design for energy-efficient SDM operation is demonstrated using machine learning. The removal of gain-flattening filters employed in submarine optical amplifiers can result in capacity gains at no additional overall repeater cost. Comment: CLEO 2020 |
| Document Type: | Working Paper |
| Access URL: | http://arxiv.org/abs/2002.11037 |
| Accession Number: | edsarx.2002.11037 |
| Database: | arXiv |
| Description not available. |