Performance analysis of a Deep Neural Network for digital demodulation in Gridless Nyquist-WDM Systems

S. J. Vargas Higuera; C. A. Montoya Ocampo; J. J. Granada Torres

doi:10.1364/FIO.2023.JM7A.52

Frontiers in Optics + Laser Science 2023 (FiO, LS)
Technical Digest Series (Optica Publishing Group, 2023),
paper JM7A.52
•https://doi.org/10.1364/FIO.2023.JM7A.52

Performance analysis of a Deep Neural Network for digital demodulation in Gridless Nyquist-WDM Systems

S. J. Vargas Higuera, C. A. Montoya Ocampo, and J. J. Granada Torres

Frontiers in Optics 2023

Tacoma, Washington United States
9–12 October 2023
ISBN: 978-1-957171-29-6

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S. J. Vargas Higuera, C. A. Montoya Ocampo, and J. J. Granada Torres, "Performance analysis of a Deep Neural Network for digital demodulation in Gridless Nyquist-WDM Systems," in Frontiers in Optics + Laser Science 2023 (FiO, LS), Technical Digest Series (Optica Publishing Group, 2023), paper JM7A.52.

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Abstract

We propose a digital demodulation technique using a deep neural network to demodulate channels affected by Inter-Channel Interference (ICI) in a 3×16-Gbaud 16-QAM Nyquist-WDM system. Results shows gains up to 1.3 dB.

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