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Performance Versus Complexity Study of Neural Network Equalizers in Coherent Optical Systems

https://doi.org/10.1109/jlt.2021.3096286
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Field and lab experimental demonstration of nonlinear impairment compensation using neural networks
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Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere
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Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks
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A Survey of Related Research on Compression and Acceleration of Deep Neural Networks
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LSTM Fully Convolutional Networks for Time Series Classification
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Convolutional Recurrent Deep Learning Model for Sentence Classification
inferredcites →https://doi.org/10.1109/access.2020.3021146openalex-snapshot
Low-Complexity Fiber Nonlinearity Impairments Compensation Enabled by Simple Recurrent Neural Network With Time Memory
inferredcites →https://doi.org/10.1109/cvpr.2014.223openalex-snapshot
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inferredcites →https://doi.org/10.1109/ecoc48923.2020.9333204openalex-snapshot
Recurrent Neural Network Soft-Demapping for Nonlinear ISI in 800Gbit/s DWDM Coherent Optical Transmissions
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Dispersion-Managed Fiber Echo State Network Analogue With High (Including THz) Bandwidth
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Compensation of Fiber Nonlinearities in Digital Coherent Systems Leveraging Long Short-Term Memory Neural Networks
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Advanced Convolutional Neural Networks for Nonlinearity Mitigation in Long-Haul WDM Transmission Systems
inferredcites →https://doi.org/10.1109/jphot.2010.2048308openalex-snapshot
Data-Aided Versus Blind Single-Carrier Coherent Receivers
inferredcites →https://doi.org/10.1109/jsac.2020.3036950openalex-snapshot
Physics-Based Deep Learning for Fiber-Optic Communication Systems
inferredcites →https://doi.org/10.1109/jstqe.2009.2035931openalex-snapshot
Equalizer Design and Complexity for Digital Coherent Receivers
inferredcites →https://doi.org/10.1109/lpt.2014.2375960openalex-snapshot
Artificial Neural Network Nonlinear Equalizer for Coherent Optical OFDM
inferredcites →https://doi.org/10.1109/lpt.2017.2755663openalex-snapshot
Applying Neural Networks in Optical Communication Systems: Possible Pitfalls
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Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications
inferredcites →https://doi.org/10.1109/taslp.2018.2887337openalex-snapshot
Convolutional Neural Networks to Enhance Coded Speech
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Performance Improvement of Chaotic Baseband Wireless Communication Using Echo State Network
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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
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Research on signal recovery method of IM/DD optical fiber transmission system based on multi-bit and multi-class classification convolutional neural network
inferredcites →https://doi.org/10.1364/ao.58.006079openalex-snapshot
LSTM networks enabled nonlinear equalization in 50-Gb/s PAM-4 transmission links
inferredcites →https://doi.org/10.1364/oe.26.032765openalex-snapshot
Equalization performance and complexity analysis of dynamic deep neural networks in long haul transmission systems
inferredcites →https://doi.org/10.1364/oe.27.007822openalex-snapshot
Memory-controlled deep LSTM neural network post-equalizer used in high-speed PAM VLC system
inferredcites →https://doi.org/10.1364/oe.27.010258openalex-snapshot
400 Gb/s O-band silicon photonic transmitter for intra-datacenter optical interconnects
inferredcites →https://doi.org/10.1364/oe.401667openalex-snapshot
Deep learning based digital backpropagation demonstrating SNR gain at low complexity in a 1200 km transmission link
inferredcites →https://doi.org/10.1364/ofc.2014.m2a.5openalex-snapshot
Multicarrier Offset-QAM Modulations for Coherent Optical Communication Systems
inferredcites →https://doi.org/10.1364/ofc.2014.m3c.4openalex-snapshot
Adaptive Digital Back-Propagation for Optical Communication Systems
inferredcites →https://doi.org/10.1364/ofc.2018.m2b.2openalex-snapshot
56 Gbps IM/DD PON based on 10G-Class Optical Devices with 29 dB Loss Budget Enabled by Machine Learning
inferredcites →https://doi.org/10.1364/ofc.2018.w3a.4openalex-snapshot
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inferredcites →https://doi.org/10.1364/ofc.2020.t4d.3openalex-snapshot
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inferredcites →https://doi.org/10.1364/ofc.2020.th4c.6openalex-snapshot
Demonstration of photonic neural network for fiber nonlinearity compensation in long-haul transmission systems
inferredcites →https://doi.org/10.1515/9783110524116openalex-snapshot
Image Processing
inferredcites →https://doi.org/10.3390/app9214675openalex-snapshot
Deep Neural Network Equalization for Optical Short Reach Communication
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inferredcites →https://doi.org/10.48550/arxiv.2012.02974openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.2104.10201openalex-snapshot
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inferredcites →https://doi.org/10.5281/zenodo.3982018openalex-snapshot
Optoelectronic signal processing for chromatic dispersion mitigation in direct detection systems
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Convolutional networks for images, speech, and time series
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Flexible, high performance convolutional neural networks for image classification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.optcom.2024.130274openalex-snapshot
Inter-channel nonlinearity compensation in long-haul optical fiber communication using overlapped-dense LSTM network: Complexity reduction and visual understanding
inferred← citeshttps://doi.org/10.1016/j.physd.2026.135388openalex-snapshot
Sliding window approach for continuous signal processing with nonlinear Fourier transform
inferred← citeshttps://doi.org/10.1109/jlt.2021.3108006openalex-snapshot
Transfer Learning for Neural Networks-Based Equalizers in Coherent Optical Systems
inferred← citeshttps://doi.org/10.1364/sppcom.2021.spm5c.6openalex-snapshot
Power and Modulation Format Transfer Learning for Neural Network Equalizers in Coherent Optical Transmission Systems
inferred← citeshttps://doi.org/10.3390/s23104618openalex-snapshot
Two-Lane DNN Equalizer Using Balanced Random-Oversampling for W-Band PS-16QAM RoF Delivery over 4.6 km
inferred← citeshttps://doi.org/10.3788/aos250946openalex-snapshot
高速光通信系统光纤非线性均衡技术进展（特邀）
inferred← citeshttps://doi.org/10.3788/col202523.050601openalex-snapshot
Temporal feature-based memory neural network for probabilistic-shaping polarization-division multiplexed ultrahigh-order QAM coherent optical transmission
inferred← citeshttps://doi.org/10.54337/aau532690499openalex-snapshot
Machine Learning Solutions for Context Information-aware Beam Management in Millimeter Wave Communications
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