[HTML][HTML] Machine learning applications for short reach optical communication
With the rapid development of optical communication systems, more advanced techniques
conventionally used in long-haul transmissions have gradually entered systems covering …
conventionally used in long-haul transmissions have gradually entered systems covering …
Performance versus complexity study of neural network equalizers in coherent optical systems
We present the results of the comparative performance-versus-complexity analysis for the
several types of artificial neural networks (NNs) used for nonlinear channel equalization in …
several types of artificial neural networks (NNs) used for nonlinear channel equalization in …
Performance and complexity analysis of bi-directional recurrent neural network models versus volterra nonlinear equalizers in digital coherent systems
S Deligiannidis, C Mesaritakis… - Journal of Lightwave …, 2021 - opg.optica.org
We investigate the complexity and performance of recurrent neural network (RNN) models
as post-processing units for the compensation of fibre nonlinearities in digital coherent …
as post-processing units for the compensation of fibre nonlinearities in digital coherent …
1.71 Tb/s single-channel and 56.51 Tb/s DWDM transmission over 96.5 km field-deployed SSMF
We report an industry leading optical dense wavelength division multiplexing (DWDM) field
trial with line rates per channel Tb/s using 130 GBaud dual-polarization probabilistic …
trial with line rates per channel Tb/s using 130 GBaud dual-polarization probabilistic …
Transfer learning for neural networks-based equalizers in coherent optical systems
In this work, we address the question of the adaptability of artificial neural networks (NNs)
used for impairments mitigation in optical transmission systems. We demonstrate that by …
used for impairments mitigation in optical transmission systems. We demonstrate that by …
Convolutional long short-term memory neural network equalizer for nonlinear Fourier transform-based optical transmission systems
We evaluate improvement in the performance of the optical transmission systems operating
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …
220 GBaud signal generation enabled by a two-channel 256 GSa/s arbitrary waveform generator and advanced DSP
220 GBaud Signal Generation Enabled by a Two-channel 256 GSa/s Arbitrary Waveform
Generator and Advanced DSP Page 1 220 GBaud Signal Generation Enabled by a Two-channel …
Generator and Advanced DSP Page 1 220 GBaud Signal Generation Enabled by a Two-channel …
Clustering engineering in tellurium-doped glass fiber for broadband optical amplification
Q Dong, K Zhang, J Chen, W Chen, X Feng, X Li… - Ceramics …, 2023 - Elsevier
Dense wavelength division multiplexing (DWDM) is recognized as one of the leading
technologies for resolving the internet data traffic capacity issue. Although the successful …
technologies for resolving the internet data traffic capacity issue. Although the successful …
Recurrent Neural Networks and Recurrent Optical Spectrum Slicers as Equalizers in High Symbol Rate Optical Transmission Systems
The transition to the edge-cloud era makes ultra-high data rate signals indispensable for
covering the immense and increasing traffic demands created. This ecosystem also seeks …
covering the immense and increasing traffic demands created. This ecosystem also seeks …
Deep neural network-aided soft-demapping in coherent optical systems: Regression versus classification
We examine here what type of predictive modelling, classification, or regression, using
neural networks (NN), fits better the task of soft-demapping based post-processing in …
neural networks (NN), fits better the task of soft-demapping based post-processing in …