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Mitigation of nonlinear phase noise in single-channel coherent 16-QAM systems employing logistic regression

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Autor(es):
de Paula, Romulo A. ; Marim, Lucas ; Penchel, Rafael A. ; Bustamante, Yesica R. R. ; Abbade, Marcelo L. F. ; Perez-Sanchez, Grethell ; Aldaya, Ivan
Número total de Autores: 7
Tipo de documento: Artigo Científico
Fonte: OPTICAL AND QUANTUM ELECTRONICS; v. 53, n. 9, p. 14-pg., 2021-09-01.
Resumo

We propose and analyze a classifier based on logistic regression (LR) to mitigate the impact of nonlinear phase noise (NPN) caused by Kerr-induced self-phase-modulation in digital coherent systems with single-channel unrepeated links. Simulation results reveal that the proposed approach reduces the bit error ratio (BER) in a 100-km-long 16 quadrature amplitude modulation (16-QAM) system operating at 56-Gbps. Thus, the BER is reduced from 6.88 x 10(-4) when using maximum likelihood to 4.27 x 10(-4) after applying the LR-based classification, representing an increase of 0.36 dB in the effective Q-factor. This performance enhancement is achieved with only 624 operations per symbol, which can be easily parallelized into 16 lines of 39 operations. (AU)

Processo FAPESP: 15/24517-8 - Fotônica para internet de nova geração
Beneficiário:Hugo Enrique Hernández Figueroa
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 18/25339-4 - Dispositivos fotônicos integrados
Beneficiário:Newton Cesario Frateschi
Modalidade de apoio: Auxílio à Pesquisa - Temático