Compensation for transmission impairments in advanced optical communication systems employing artificial intelligence

• Grant number: 24/01712-9
• Support Opportunities: Regular Research Grants
• Start date: July 01, 2024
• End date: June 30, 2026
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Principal Investigator: Ivan Aritz Aldaya Garde
• Grantee: Ivan Aritz Aldaya Garde
• Host Institution: Faculdade de Engenharia. Universidade Estadual Paulista (UNESP). Campus Experimental São João da Boa Vista. São João da Boa Vista , SP, Brazil
• Associated researchers: José Augusto de Oliveira ; Leandra Isabel de Abreu ; Marcelo Luís Francisco Abbade ; Rafael Abrantes Penchel
• Associated scholarship(s): 25/00062-3 - Nonlinear effect compensation in digital coherent optical communication systems employing neural networks with unsupervised training, BP.IC; 24/17085-3 - Hyperparameter Tuning in Artificial Neural Networks for Mitigating Nonlinearities in Coherent Optical Communication Systems, BP.IC

Abstract

Optical communication systems have continuously evolved to support the demand for increasing transmission capacity. The introduction of digital coherent systems represented a revolution since they allowed the exploitation of not only the amplitude but also the phase and polarization diversity of the light. In addition to the use of additional dimensions, digital coherent systems paved the way for novel and efficient compensation of impairments such as phase noise, chromatic dispersion, and polarization mode dispersion. The mitigation of nonlinear distortion, however, remains unresolved since many approaches require prohibitively high computation complexity. In this context, machine learning has emerged as a high-potential solution to achieve the mitigation of nonlinear distortion without increasing computational complexity to prohibitively high levels. The development of machine learning techniques becomes more challenging as we increase the dimensionality of the system, that is, in high inter-symbol interference scenarios, such as high-bit rate and multi-channel systems. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

FLORES RIVERA, FRIDA; PEREZ SANCHEZ, GRETHELL; MEDICA VELAZQUEZ, YOLOTZIN; LOPEZ ROMERO, RODOLFO; ABREU, LEANDRA; ALDAYA, IVAN. Erbium-doped zinc-sodium phosphate glasses as high-gain material for integrated photonics. 2024 INTERNATIONAL CONFERENCE ON OPTICAL MEMS AND NANOPHOTONICS, OMN, v. N/A, p. 2-pg., 2024-01-01. (24/01712-9, 15/24517-8)

DE PAULA, ROMULO, JR.; SUTILI, TIAGO; FIGUEIREDO, RAFAEL C.; BUSTAMANTE, YESICA R. R.; HERNANDEZ-FIGUEROA, HUGO ENRIQUE; ABREU, LEANDRA; ALDAYA, IVAN. Multi-objective optimization of SOI-based Mach-Zehnder modulators employing deep neural networks and a non-dominant genetic algorithm. 2024 INTERNATIONAL CONFERENCE ON OPTICAL MEMS AND NANOPHOTONICS, OMN, v. N/A, p. 2-pg., 2024-01-01. (21/00199-8, 24/01712-9, 21/11380-5, 22/11596-0, 21/06506-0)

SIMIONATO, ELIGIA; ALDAYA, IVAN; ROSA, GUILHERME S.; LE, JOAO E. G.; SERRANO, ARIANA L. C.; REHDER, GUSTAVO P.; PENCHEL, RAFAEL A.. Two-axis beamsteering using a wideband Butler matrix and series-fed arrays for millimeter wave frequencies fabricated on metallic-nanowire-membrane platform. AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS, v. 184, p. 9-pg., 2024-06-28. (20/09889-4, 23/12921-5, 24/01712-9, 22/03519-6)