Chagnon, M;
Karanov, BP;
Schmalen, L;
(2018)
Experimental demonstration of dispersion tolerant end-to-end deep learning-based IM-DD transmission system.
In:
(Proceedings) ECOC 2018, 44th European Conference on Optical Communication, 23-27 September 2018, Rome, Italy.
IEEE
(In press).
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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 3.8×10−3 . The ANN is trained to tolerate deviations in dispersion by as much as ±170ps/nm
| Type: | Proceedings paper |
|---|---|
| Title: | Experimental demonstration of dispersion tolerant end-to-end deep learning-based IM-DD transmission system |
| Event: | ECOC 2018, 44th European Conference on Optical Communication, 23-27 September 2018, Rome, Italy |
| Location: | Rome, Italy |
| Dates: | 23 September 2018 - 27 September 2018 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://ieeexplore.ieee.org/Xplore/home.jsp |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10051347 |
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