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; РИНЦ: 38673381; 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 |