Name
Abstract | ||
|---|---|---|
In this paper, we reported machine-learning based network dynamic abstraction over a field-trial testbed. The implemented network-scale NCMDB allows the ML-based quality-of-transmission predictor abstract dynamic link parameters for further network planning. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1364/ofc.2019.m2e.1 | 2019 Optical Fiber Communications Conference and Exhibition (OFC) |
DocType | ISBN | Citations |
Conference | 978-1-943580-53-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Yan | 1 | 2 | 6.16 |
| F. N. Khan | 2 | 2 | 2.08 |
| Alex Mavromatis | 3 | 3 | 1.45 |
| Qirui Fan | 4 | 0 | 2.37 |
| Hilary Frank | 5 | 0 | 0.34 |
| Reza Nejabati | 6 | 211 | 43.72 |
| Alan Pak Tao Lau | 7 | 25 | 11.12 |
| Dimitra Simeonidou | 8 | 332 | 80.03 |