Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver
- Author
- Sarah Masaad (UGent) , Emmanuel Gooskens (UGent) , Stijn Sackesyn (UGent) , Joni Dambre (UGent) and Peter Bienstman (UGent)
- Organization
- Project
- Abstract
- Photonic reservoir computing is a promising processing solution for the equalization of fiber optic communication signals. We simulate the nonlinear equalization of 64 Quadrature-Amplitude Modulated signals using a fully passive space multiplexed reservoir. The system deploys direct detection using the recently proposed Kramers-Kronig receiver. (C) 2022 The Author(s)
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GP106503XXKTCK5Q9SXH9YZB
- MLA
- Masaad, Sarah, et al. “Photonic Reservoir Computing for Nonlinear Equalization of 64-QAM Signals with a Kramers-Kronig Receiver.” 2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC), IEEE, 2022.
- APA
- Masaad, S., Gooskens, E., Sackesyn, S., Dambre, J., & Bienstman, P. (2022). Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver. 2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC). Presented at the ECOC2022 : the European Conference on Optical Communication, Basel, Switzerland.
- Chicago author-date
- Masaad, Sarah, Emmanuel Gooskens, Stijn Sackesyn, Joni Dambre, and Peter Bienstman. 2022. “Photonic Reservoir Computing for Nonlinear Equalization of 64-QAM Signals with a Kramers-Kronig Receiver.” In 2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC). IEEE.
- Chicago author-date (all authors)
- Masaad, Sarah, Emmanuel Gooskens, Stijn Sackesyn, Joni Dambre, and Peter Bienstman. 2022. “Photonic Reservoir Computing for Nonlinear Equalization of 64-QAM Signals with a Kramers-Kronig Receiver.” In 2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC). IEEE.
- Vancouver
- 1.Masaad S, Gooskens E, Sackesyn S, Dambre J, Bienstman P. Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver. In: 2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC). IEEE; 2022.
- IEEE
- [1]S. Masaad, E. Gooskens, S. Sackesyn, J. Dambre, and P. Bienstman, “Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver,” in 2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC), Basel, Switzerland, 2022.
@inproceedings{01GP106503XXKTCK5Q9SXH9YZB,
abstract = {{Photonic reservoir computing is a promising processing solution for the equalization of fiber optic communication signals. We simulate the nonlinear equalization of 64 Quadrature-Amplitude Modulated signals using a fully passive space multiplexed reservoir. The system deploys direct detection using the recently proposed Kramers-Kronig receiver. (C) 2022 The Author(s)}},
articleno = {{paper Tu4G.3}},
author = {{Masaad, Sarah and Gooskens, Emmanuel and Sackesyn, Stijn and Dambre, Joni and Bienstman, Peter}},
booktitle = {{2022 EUROPEAN CONFERENCE ON OPTICAL COMMUNICATION (ECOC)}},
isbn = {{9781957171159}},
language = {{eng}},
location = {{Basel, Switzerland}},
pages = {{4}},
publisher = {{IEEE}},
title = {{Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver}},
year = {{2022}},
}