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Machine learning for mitigation of nonlinear intersymbol interference in digital coherent optical communication systems

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Author(s):
Dantas, Lucas C. ; Cossa, Grazielle C. ; Penchel, Rafael A. ; de Oliveira, Jose Augusto ; Abbade, Marcelo L. F. ; de Abreu, Leandra I. ; Garcia, Marlon R. ; Guillardi, Hildo, Jr. ; Aldaya, Ivan
Total Authors: 9
Document type: Journal article
Source: 2024 SBFOTON INTERNATIONAL OPTICS AND PHOTONICS CONFERENCE, SBFOTON IOPC 2024; v. N/A, p. 3-pg., 2024-01-01.
Abstract

This paper explores the interaction between dispersion-induced intersymbol interference and self-phase modulation in coherent optical communication systems using raised cosine pulse shaping. In order to address this interaction, we trained a multilayer perceptron with adjacent symbols, demonstrating that utilizing information from multiple symbols enhances the system's ability to compensate for nonlinear distortion. (AU)

FAPESP's process: 24/01712-9 - Compensation for transmission impairments in advanced optical communication systems employing artificial intelligence
Grantee:Ivan Aritz Aldaya Garde
Support Opportunities: Regular Research Grants
FAPESP's process: 20/09889-4 - Design and manufacture of wideband antennas using additive manufacturing process
Grantee:Rafael Abrantes Penchel
Support Opportunities: Regular Research Grants