Name
Title | ||
|---|---|---|
A QoT Estimation Method using EGN-assisted Machine Learning for Network Planning Applications |
Abstract | ||
|---|---|---|
An ML model based on precomputed per-channel SCI is proposed. Due to its superior accuracy over closed-form GN, an average SNR gain of 1.1 dB in an end-to-end link optimization and a 40% reduction in required lightpaths to meet traffic requests in a network planning scenario are shown. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ECOC52684.2021.9606064 | 2021 European Conference on Optical Communication (ECOC) |
DocType | ISSN | ISBN |
Conference | European Conference on Optical Communication (ECOC) 2021 | 978-1-6654-3868-1 |
Citations | PageRank | References |
1 | 0.43 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jasper Müller | 1 | 1 | 0.43 |
| Sai Kireet Patri | 2 | 1 | 0.43 |
| Tobias Fehenberger | 3 | 1 | 0.43 |
| Carmen Mas-Machuca | 4 | 1 | 1.11 |
| Helmut Griesser | 5 | 1 | 0.43 |
| Jörg-Peter Elbers | 6 | 1 | 0.43 |