ML PAM4 Pre-Emphasis Coefficients Optimization Algorithm for Mitigating Gain Nonlinearity in SOAs

This paper proposes a ML algorithm using stochastic gradient descent (SGD) to optimize PAM4 pre-emphasis to mitigate gain nonlinearity in semiconductor optical amplifier (SOA). Experimental results validate its effectiveness, reducing the power penalty from <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$21 d B$</tex> to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$4.2 d B$</tex> with 53 GBaud PAM4 data transmission.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11109923
Primary Topic
Optical Systems and Laser Technology
Type
article
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article

ML PAM4 Pre-Emphasis Coefficients Optimization Algorithm for Mitigating Gain Nonlinearity in SOAs

Nicola Calabretta, B. M. Zheng
1 links
Optical Systems and Laser Technology
article

ML PAM4 Pre-Emphasis Coefficients Optimization Algorithm for Mitigating Gain Nonlinearity in SOAs

Nicola Calabretta, B. M. Zheng
article en

Abstract

This paper proposes a ML algorithm using stochastic gradient descent (SGD) to optimize PAM4 pre-emphasis to mitigate gain nonlinearity in semiconductor optical amplifier (SOA). Experimental results validate its effectiveness, reducing the power penalty from <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$21 d B$</tex> to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$4.2 d B$</tex> with 53 GBaud PAM4 data transmission.

Eindhoven University of Technology (NL)
Openalex Percentile: Top 80%
Optical Systems and Laser Technology
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