End-to-end learning for VCSEL-based optical interconnects: State-of-the-art, challenges, and opportunities
Optical interconnects (OIs) based on vertical-cavity surface-emitting lasers (VCSELs) are the
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …
main workhorse within data centers, supercomputers, and even vehicles, providing low-cost …
Concept and experimental demonstration of optical IM/DD end-to-end system optimization using a generative model
We perform an experimental end-to-end transceiver optimization via deep learning using a
generative adversarial network to approximate the test-bed channel. Previously …
generative adversarial network to approximate the test-bed channel. Previously …
End-to-end deep learning of long-haul coherent optical fiber communications via regular perturbation model
We present a novel end-to-end autoencoder-based learning for coherent optical
communications using a" parallelizable" perturbative channel model. We jointly optimized …
communications using a" parallelizable" perturbative channel model. We jointly optimized …
Experimental investigation of deep learning for digital signal processing in short reach optical fiber communications
We investigate methods for experimental performance enhancement of auto-encoders
based on a recurrent neural network (RNN) for communication over dispersive nonlinear …
based on a recurrent neural network (RNN) for communication over dispersive nonlinear …
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 …
Low complexity Volterra nonlinear equalizer based on weight sharing for 50 Gb/s PAM4 IM/DD transmission with 10G-class optics
Q Zhang, S Duan, Z Wang, B Cao, Y Wu, J Chen… - Optics …, 2022 - Elsevier
In this paper, an improved Volterra nonlinear equalizer with low computational complexity
and good performance is proposed to compensate the distortions caused by bandwidth …
and good performance is proposed to compensate the distortions caused by bandwidth …
Deep learning based signal detection for OFDM VLC systems
NA Amran, MD Soltani, M Yaghoobi… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Visible light communication (VLC) has become increasingly popular and has sparked a
wide interest from various research areas. In order to fully realize the potential of VLC and to …
wide interest from various research areas. In order to fully realize the potential of VLC and to …
End-to-end learning in optical fiber communications: Concept and transceiver design
We implement a complete fiber-optic communication system as an end-to-end
computational graph using an artificial neural network (ANN)-based transceiver. We …
computational graph using an artificial neural network (ANN)-based transceiver. We …
End-to-end learning in optical fiber communications: Experimental demonstration and future trends
Fiber-optic auto-encoders are demonstrated on an intensity modulation/direct detection
testbed, outperforming state-of-the-art signal processing. Algorithms for end-to-end …
testbed, outperforming state-of-the-art signal processing. Algorithms for end-to-end …
Efficient FPGA implementation of an ANN-based demapper using cross-layer analysis
In the field of communication, autoencoder (AE) refers to a system that replaces parts of the
traditional transmitter and receiver with artificial neural networks (ANNs). To meet the system …
traditional transmitter and receiver with artificial neural networks (ANNs). To meet the system …