Spectral Spacing Estimation using Fuzzy Logic and KNN algorithms in Gridless Nyquist-WDM Systems

Alejandro Escobar Pérez; Neil Guerrero González; Stephen E. Ralph; Jhon J. Granada Torres

doi:10.1364/SPPCOM.2021.SpTh1D.7

OSA Advanced Photonics Congress 2021
OSA Technical Digest (Optica Publishing Group, 2021),
paper SpTh1D.7
•https://doi.org/10.1364/SPPCOM.2021.SpTh1D.7

Spectral Spacing Estimation using Fuzzy Logic and KNN algorithms in Gridless Nyquist-WDM Systems

Alejandro Escobar Pérez, Neil Guerrero González, Stephen E. Ralph, and Jhon J. Granada Torres

Signal Processing in Photonic Communications 2021

Washington, DC United States
26–29 July 2021
ISBN: 978-1-943580-94-1

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Impairments Compensation for Data Transmission (SpTh1D)

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A. E. Pérez, N. G. González, S. E. Ralph, and J. J. Granada Torres, "Spectral Spacing Estimation using Fuzzy Logic and KNN algorithms in Gridless Nyquist-WDM Systems," in OSA Advanced Photonics Congress 2021, B. Yang, F. Leo, A. Tauke-Pedretti, S. Arafin, M. Clerici, L. Caspani, L. Busse, M. Kats, J. Fan, W. Ming (Steve) Lee, D. Caplan, N. Parsons, W. Freude, C. Tremblay, D. Hillerkuss, K. Igarashi, H. Elgala, N. Guerrero Gonzalez, R. "Patty" Stabile, K. Jaeger, R. Saive, H. Aziz, and H. Tan, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper SpTh1D.7.

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Abstract

We propose a method for spectral spacing estimation in gridless optical networks using fuzzy logic for feature extraction and the KNN algorithm for prediction. It was experimentally verified in a 332 Gbd 16-QAM Nyquist-WDM system.

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