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End-to-End Learning in Optical Fiber Communications: Experimental Demonstration and Future Trends

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 Green open access

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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
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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