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Implementation efficient nonlinear equalizer based on correlated digital backpropagation
TLDR
This paper proposes a method for implementation complexity of nonlinear equalizer based on digital backpropagation that overcomes this boundary and improves the efficiency by about four times.
OSNR monitoring by deep neural networks trained with asynchronously sampled data
TLDR
By using 5-layers DNN trained with 400,000 samples, the DNN successfully estimates OSNR in a 16-GBd DP-QPSK system with minimum prior knowledge.
A simple digital skew compensator for coherent receiver
A skew compensator is proposed and experimentally demonstrated for coherent front-end, which improved tolerance from ±3 to ±21ps at 0.2dB Q-penalty even with 21,000ps/nm CD and 90ps DGD on 112Gb/s
Low complexity digital perturbation back-propagation
TLDR
A novel back-propagation algorithm is proposed based on perturbation analysis to compensate the intra-channel nonlinearity in an experiment of dual polarization QPSK transmission over 1500 km dispersion uncompensated link.
Coherent in-line substitution of OFDM subcarriers using fiber-frequency conversion and free-running lasers
We propose and demonstrate a coherent optical field superposition between independent laser sources using fiber frequency conversion and investigate its performance in an OFDM scenario with
Digital clock recovery algorithm for optical coherent receivers operating independent of laser frequency offset
TLDR
A digital clock recovery algorithm is proposed and its tolerance to at least 5 GHz laser frequency mismatch in a 43 Gb/s DP-RZ-QPSK receiver after 1200 km transmission is demonstrated.
112 Gb/s DP-QPSK transmission using a novel nonlinear compensator in digital coherent receiver
A novel nonlinear compensation scheme is proposed and demonstrated with 112 Gb/s DP-QPSK format using digital coherent receiver. The Q-improvement by the proposed scheme exceeded 2 dB after 20 span
Convolutional neural network-based optical performance monitoring for optical transport networks
TLDR
This work experimentally demonstrates that a CNN can learn an accurate optical signal-to-noise-ratio (OSNR) estimation functionality from asynchronously sampled data right after intradyne coherent detection.
Data-analytics-based Optical Performance Monitoring Technique for Optical Transport Networks
We experimentally demonstrate that a convolutional neural network (CNN) can acquire an accurate OSNR estimation functionality from asynchronously sampled data right after intradyne coherent
Experimental demonstration of a format-flexible single carrier coherent receiver using data-aided digital signal processing
TLDR
It is shown that format-flexible coherent reception of different 28-GBd PDM and 4D modulated signals in WDM transmission experiments over up to 7680 km SSMF can be achieved by using the same resource-efficient digital signal processing algorithms for the equalization of all formats.
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