Experimental Demonstration of Learned Time-Domain Digital Back-Propagation

2019/12/23 by Eric Sillekens, Wenting Yi, Sillekens, Eric +21
Engineering · #Advanced Optical Network Technologies #Advanced Photonic Communication Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Machine Learning (cs.LG) #Optical Network Technologies #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.1912.12197

openalex publication_date 2019/12/23 · openalex created_date 2020/01/10 · openalex updated_date 2026/07/28

Abstract

We present the first experimental demonstration of learned time-domain digital back-propagation (DBP), in 64-GBd dual-polarization 64-QAM signal transmission over 1014 km. Performance gains were comparable to those obtained with conventional, higher complexity, frequency-domain DBP.

Citations

• Deep Residual Learning for Image Recognition

Related

• Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systems
• Wideband Time-Domain Digital Backpropagation via Subband Processing and\n Deep Learning
• Equalization in Dispersion-Managed Systems Using Learned Digital Back-Propagation
• Coupled-Channel Enhanced SSFM for Digital Backpropagation in WDM Systems
• Coherent 100G Nonlinear Compensation with Single-Step Digital Backpropagation