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Инд. авторы: Averyanov E., Redyuk A., Sidelnikov O., Sorokina M., Fedoruk M., Turitsyn S.
Заглавие: Perturbative Machine Learning Technique for Nonlinear Impairments Compensation in WDM Systems
Библ. ссылка: Averyanov E., Redyuk A., Sidelnikov O., Sorokina M., Fedoruk M., Turitsyn S. Perturbative Machine Learning Technique for Nonlinear Impairments Compensation in WDM Systems // Proceedings of the European Conference on Optical Communication (ECOC): Roma, Italy, September 23-27, 2018. - 2018. - Art.8535338. - https://ieeexplore.ieee.org/document/8535338/
Внешние системы: DOI: 10.1109/ECOC.2018.8535338; SCOPUS: 2-s2.0-85063187809;
Реферат: eng: We propose a perturbation-based receiver-side machine-learning equalizer for inter- and intra-channel nonlinearity compensation in WDM systems. We show 1.6 dB and 0.6 dB Q2-factor improvement compared with linear equalization and DBP respectively for 1000km transmission of 3× 128Gbit/s DP-16QAM signal. © 2018 IEEE.
Ключевые слова: QAM signals; Nonlinear impairments; Machine learning techniques; Optical communication; Intra-channel nonlinearity; Machine learning; Equalizers; Linear equalization; WDM systems;
Издано: 2018
Физ. характеристика: 8535338
Ссылка: https://ieeexplore.ieee.org/document/8535338/
Конференция: Название: 2018 European Conference on Optical Communication
Аббревиатура: ECOC
Город: Roma
Страна: Italy
Даты проведения: 2018-09-23 - 2018-09-27