Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Perturbative Machine Learning Technique for Nonlinear Impairments Compensation in WDM Systems. / Averyanov, Evgeny; Redyuk, Alexey; Sidelnikov, Oleg et al.
2018 European Conference on Optical Communication, ECOC 2018. Vol. 2018-September Institute of Electrical and Electronics Engineers Inc., 2018. 8535338.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Perturbative Machine Learning Technique for Nonlinear Impairments Compensation in WDM Systems
AU - Averyanov, Evgeny
AU - Redyuk, Alexey
AU - Sidelnikov, Oleg
AU - Soroklna, Mariia
AU - Fedoruk, Mikhail
AU - Turitsyn, Sergei
PY - 2018/11/14
Y1 - 2018/11/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85063187809&partnerID=8YFLogxK
U2 - 10.1109/ECOC.2018.8535338
DO - 10.1109/ECOC.2018.8535338
M3 - Conference contribution
AN - SCOPUS:85063187809
VL - 2018-September
BT - 2018 European Conference on Optical Communication, ECOC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 European Conference on Optical Communication, ECOC 2018
Y2 - 23 September 2018 through 27 September 2018
ER -
ID: 18948294