Examining nonlinear behaviors in optical communication systems using Gaussian mixture model

Egor Sedov; Felippe Alves Pereira; David Saad; Sergei Turitsyn

doi:10.1117/12.3022441

20 June 2024 Examining nonlinear behaviors in optical communication systems using Gaussian mixture model

Egor Sedov, Felippe Alves Pereira, David Saad, Sergei Turitsyn

Proceedings Volume 13004, Nonlinear Optics and its Applications 2024; 130040Y (2024) https://doi.org/10.1117/12.3022441
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Conference Poster

Abstract

This study investigates the nonlinear effects on signal integrity in 16-QAM optical communication systems by focusing on received signal distributions without noise interference. Utilizing GPU-based simulations and analyzing “triplets” of consecutive signal points, we uncover that nonlinear interactions generate distinctive patterns in signal behavior, challenging the adequacy of standard Gaussian models. Our analysis employs the Gaussian Mixture Model (GMM), revealing that multi-component models offer a more accurate representation of signal distributions, highlighting the complexity of nonlinear effects. This research not only enhances our understanding of signal behavior under nonlinear conditions but also paves the way for future investigations into improving optical communication system design and reliability.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Egor Sedov, Felippe Alves Pereira, David Saad, and Sergei Turitsyn "Examining nonlinear behaviors in optical communication systems using Gaussian mixture model", Proc. SPIE 13004, Nonlinear Optics and its Applications 2024, 130040Y (20 June 2024); https://doi.org/10.1117/12.3022441

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