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.
Authors
- Nicola Calabretta (ORCID: https://orcid.org/0000-0001-9162-4983)
- B. M. Zheng (ORCID: https://orcid.org/0009-0009-1601-4734)
Institutions
- Eindhoven University of Technology (NL)
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
- Field-Weighted Citation Impact
- 0.00