SOAs and Digital Linearization in Optical Networks – A Stochastic Investigation

Jacqueline E. Sime; Pascal Morel; Igor Simone Stievano; Mihai Telescu; Noël Tanguy; Stéphane Azou

doi:10.1364/CLEO_SI.2021.STh1F.6

Conference on Lasers and Electro-Optics
OSA Technical Digest (Optica Publishing Group, 2021),
paper STh1F.6
•https://doi.org/10.1364/CLEO_SI.2021.STh1F.6

SOAs and Digital Linearization in Optical Networks – A Stochastic Investigation

Jacqueline E. Sime, Pascal Morel, Igor Simone Stievano, Mihai Telescu, Noël Tanguy, and Stéphane Azou

CLEO: Science and Innovations 2021

San Jose, California United States
9–14 May 2021
ISBN: 978-1-943580-91-0

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Network Management and Machine Learning (STh1F)

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J. E. Sime, P. Morel, I. S. Stievano, M. Telescu, N. Tanguy, and S. Azou, "SOAs and Digital Linearization in Optical Networks – A Stochastic Investigation," in Conference on Lasers and Electro-Optics, J. Kang, S. Tomasulo, I. Ilev, D. Müller, N. Litchinitser, S. Polyakov, V. Podolskiy, J. Nunn, C. Dorrer, T. Fortier, Q. Gan, and C. Saraceno, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper STh1F.6.

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Abstract

Digital predistortion has recently spurred interest in photonics. In this paper, the authors perform a sensitivity analysis of three digital predistortion algorithms and demonstrate an increase in performance and, in some cases, robustness to uncertainties.

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