Karanov, B;
Oliari, V;
Chagnon, M;
Liga, G;
Alvarado, A;
Aref, V;
Lavery, D;
... Schmalen, L; + view all
(2021)
End-to-End Learning in Optical Fiber Communications: Experimental Demonstration and Future Trends.
In:
2020 European Conference on Optical Communications (ECOC).
IEEE
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Abstract
Fiber-optic auto-encoders are demonstrated on an intensity modulation/direct detection testbed, outperforming state-of-the-art signal processing. Algorithms for end-to-end optimization using experimentally collected data are discussed. The end-to-end learning framework is extended for performing optimization of the symbol distribution in probabilistically-shaped coherent systems.
Type: | Proceedings paper |
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Title: | End-to-End Learning in Optical Fiber Communications: Experimental Demonstration and Future Trends |
Event: | 2020 European Conference on Optical Communications (ECOC) |
ISBN-13: | 9781728173610 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/ECOC48923.2020.9333265 |
Publisher version: | https://doi.org/10.1109/ECOC48923.2020.9333265 |
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 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/10125637 |
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