Low complexity neural network equalization based on multi-symbol output technique for 200+ Gbps IM/DD short reach optical system
Nowadays, Neural network (NN) has been proved to be an effective solution for nonlinear
equalization in short reach optical systems. However, recent research has mainly focused …
equalization in short reach optical systems. However, recent research has mainly focused …
Feedforward and recurrent neural network-based transfer learning for nonlinear equalization in short-reach optical links
Neural network (NN)-based nonlinear equalizers have been shown effective for various
types of short-reach direct detection systems. However, they work best for a certain channel …
types of short-reach direct detection systems. However, they work best for a certain channel …
Probabilistic neural network equalizer for nonlinear mitigation in OAM mode division multiplexed optical fiber communication
F Wang, R Gao, S Zhou, Z Li, Y Cui, H Chang… - Optics …, 2022 - opg.optica.org
Orbital angular momentum (OAM) mode-division multiplexing (MDM) is a key technique to
achieve ultra-high-capacity optical fiber communications. However, the high nonlinear …
achieve ultra-high-capacity optical fiber communications. However, the high nonlinear …
Low-complexity multi-task learning aided neural networks for equalization in short-reach optical interconnects
With the rapid development of machine learning technologies in recent years, different types
of neural network (NN)-based equalizers have been proposed and proved to be efficient …
of neural network (NN)-based equalizers have been proposed and proved to be efficient …
[HTML][HTML] Advanced Neural Network-Based Equalization in Intensity-Modulated Direct-Detection Optical Systems: Current Status and Future Trends
Intensity-modulated direct-detection (IM/DD) optical systems are most widely employed in
short-reach optical interconnects due to their simple structure and cost-effectiveness …
short-reach optical interconnects due to their simple structure and cost-effectiveness …
Low-complexity recurrent neural network based equalizer with embedded parallelization for 100-Gbit/s/λ PON
X Huang, D Zhang, X Hu, C Ye… - Journal of Lightwave …, 2021 - ieeexplore.ieee.org
To meet the demand of emerging applications, such as fixed-mobile convergence for the fifth
generation of mobile networks and beyond, a 100-Gbit/s/λ access network becomes the next …
generation of mobile networks and beyond, a 100-Gbit/s/λ access network becomes the next …
Recurrent neural networks achieving MLSE performance for optical channel equalization
We explore recurrent and feedforward neural networks to mitigate severe inter-symbol
interference (ISI) caused by bandlimited channels, such as high speed optical …
interference (ISI) caused by bandlimited channels, such as high speed optical …
Computation efficient sparse DNN nonlinear equalization for IM/DD 112 Gbps PAM4 inter-data center optical interconnects
In this Letter, we propose and experimentally demonstrate a novel, to the best of our
knowledge, sparse deep neural network-based nonlinear equalizer (SDNN-NLE). By …
knowledge, sparse deep neural network-based nonlinear equalizer (SDNN-NLE). By …
On the Expressivity of Recurrent Neural Cascades
Recurrent Neural Cascades (RNCs) are the recurrent neural networks with no cyclic
dependencies among recurrent neurons. This class of recurrent networks has received a lot …
dependencies among recurrent neurons. This class of recurrent networks has received a lot …
Optical phase conjugation with complex-valued deep neural network for WDM 64-QAM coherent optical systems
We experimentally demonstrated a photoelectric nonlinear compensation scheme of optical
phase conjugation (OPC) with complex-valued deep neural network (CVDNN) to mitigate …
phase conjugation (OPC) with complex-valued deep neural network (CVDNN) to mitigate …