Abstract

Enhanced power loading based on machine learned subcarrier interactions and nonlinear SNR progression is proposed to improve BER performance in optical coherent OFDM systems, achieving a gain of 0.5 dB in OSNR vs. classical schemes.

© 2019 The Author(s)

PDF Article
More Like This
Blind Nonlinearity Compensation by Machine-Learning-Based Clustering for Coherent Optical OFDM

Shoudong Liu, Jie Zhang, Yajie Li, Yongli Zhao, Kai Wang, Xiaokun Yang, and Yi Sun
T4B.6 Asia Communications and Photonics Conference (ACPC) 2019

Nonlinear Inter-Subcarrier Intermixing Reduction in Coherent Optical OFDM using Fast Machine Learning Equalization

Elias Giacoumidis, Jinlong Wei, Sofien Mhatli, Marc F. C. Stephens, Nick J. Doran, Andrew D. Ellis, and Benjamin J. Eggleton
W3J.2 Optical Fiber Communication Conference (OFC) 2017

Multi-Stage Machine Learning Enhanced DSP for DP-64QAM Coherent Optical Transmission Systems

Mu Xu, Junwen Zhang, Haipeng Zhang, Zhensheng Jia, Jing Wang, Lin Cheng, Louis Alberto Campos, and Curtis Knittle
M2H.1 Optical Fiber Communication Conference (OFC) 2019

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription