Name
Title | ||
|---|---|---|
Experimental Demonstration of a Dispersion Tolerant End-to-End Deep Learning-Based IM-DD Transmission System |
Abstract | ||
|---|---|---|
We experimentally demonstrate an IM-DD system relying on deep neural networks from transmitter to receiver delivering 42 Gb/s over 20 and 40 km at 1550 nm below $3.8times 10^{-3}$ . The ANN is trained to tolerate deviations in dispersion by as much as ±170ps/nm. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ECOC.2018.8535165 | ECOC |
DocType | Citations | PageRank |
Conference | 1 | 0.37 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| mathieu chagnon | 1 | 21 | 12.01 |
| Boris Karanov | 2 | 18 | 2.07 |
| Schmalen, Laurent | 3 | 112 | 32.50 |