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 …
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 …
[HTML][HTML] 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 …
Spiking neural network nonlinear demapping on neuromorphic hardware for IM/DD optical communication
Neuromorphic computing implementing spiking neural networks (SNN) is a promising
technology for reducing the footprint of optical transceivers, as required by the fast-paced …
technology for reducing the footprint of optical transceivers, as required by the fast-paced …
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 …
[HTML][HTML] Deep neural network equalization for optical short reach communication
Nonlinear distortion has always been a challenge for optical communication due to the
nonlinear transfer characteristics of the fiber itself. The next frontier for optical …
nonlinear transfer characteristics of the fiber itself. The next frontier for optical …
Soft-demapping for short reach optical communication: A comparison of deep neural networks and volterra series
In optical fiber communication, optical and electrical components introduce nonlinearities,
which require effective compensation to attain highest data rates. In particular, in short reach …
which require effective compensation to attain highest data rates. In particular, in short reach …
Experimental study of deep neural network equalizers performance in optical links
PJ Freire, Y Osadchuk, B Spinnler… - 2021 Optical Fiber …, 2021 - ieeexplore.ieee.org
We propose a convolutional-recurrent channel equalizer and experimentally demonstrate
1dB Q-factor improvement both in single-channel and 96× WDM, DP-16QAM transmission …
1dB Q-factor improvement both in single-channel and 96× WDM, DP-16QAM transmission …
Hardware-efficient duobinary neural network equalizers for 800 Gb/s IM/DD PAM4 transmission over 10 km SSMF
In this article, we discuss challenges and options for scaling IM/DD transceivers towards 800
Gbps. Our focus is CWDM4 PAM4 transmission and our target distance is 10 km in O-band …
Gbps. Our focus is CWDM4 PAM4 transmission and our target distance is 10 km in O-band …
Adaptive Partial-Response Neural Network Equalization for Bandwidth-Limited PAM Transmission in Intra-Datacenter Interconnect
High-speed optical transmission systems suffer from severe intersymbol-interference (ISI)
caused by limited bandwidth. To address this challenge, previous studies on bandwidth …
caused by limited bandwidth. To address this challenge, previous studies on bandwidth …