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 …
Computational complexity comparison of feedforward/radial basis function/recurrent neural network-based equalizer for a 50-Gb/s PAM4 direct-detection optical link
The computational complexity and system bit-error-rate (BER) performance of four types of
neural-network-based nonlinear equalizers are analyzed for a 50-Gb/s pulse amplitude …
neural-network-based nonlinear equalizers are analyzed for a 50-Gb/s pulse amplitude …
Low-complexity pruned convolutional neural network based nonlinear equalizer in coherent optical communication systems
X Liu, C Li, Z Jiang, L Han - Electronics, 2023 - mdpi.com
Nonlinear impairments caused by devices and fiber transmission links in a coherent optical
communication system can severely limit its transmission distance and achievable capacity …
communication system can severely limit its transmission distance and achievable capacity …
An interpretable mapping from a communication system to a neural network for optimal transceiver-joint equalization
In this paper, we propose a scheme that utilizes the optimization ability of artificial
intelligence (AI) for optimal transceiver-joint equalization in compensating for the optical …
intelligence (AI) for optimal transceiver-joint equalization in compensating for the optical …
Block-structured deep learning-based OFDM channel equalization
This letter considers equalization of an optical signal under the Orthogonal Frequency
Division Multiplexing modulation scheme. The equalizer mitigates nonlinear effects caused …
Division Multiplexing modulation scheme. The equalizer mitigates nonlinear effects caused …
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 …
Compressed neural network equalization based on iterative pruning algorithm for 112-Gbps VCSEL-enabled optical interconnects
Advanced nonlinear digital signal processing technologies, which bring significant
performance gain for high-speed optical interconnects, are highly constrained by huge …
performance gain for high-speed optical interconnects, are highly constrained by huge …
Attention-aided partial bidirectional RNN-based nonlinear equalizer in coherent optical systems
We leverage the attention mechanism to investigate and comprehend the contribution of
each input symbol of the input sequence and their hidden representations for predicting the …
each input symbol of the input sequence and their hidden representations for predicting the …
Area-Efficient Neural Network CD Equalizer for 4× 200Gb/s PAM4 CWDM4 Systems
We use a neural network trained jointly by multi-task learning on datasets acquired at
multiple wavelengths to mitigate the impact of chromatic dispersion in 4× 200Gb/s CWDM4 …
multiple wavelengths to mitigate the impact of chromatic dispersion in 4× 200Gb/s CWDM4 …
Fixed-point analysis and FPGA implementation of deep neural network based equalizers for high-speed PON
Adeep neural network based equalizer is proposed to mitigate the intersymbol interference
observed in next generation high speed passive optical network (PON) links. The DNN …
observed in next generation high speed passive optical network (PON) links. The DNN …