Library

Novel Phase-Noise-Tolerant Variational-Autoencoder-Based Equalization Suitable for Space-Division-Multiplexed Transmission

We demonstrate the effectiveness of a novel phase-noise-tolerant, variational-autoencoderbased equalization scheme for space-division-multiplexed (SDM) transmission in an experiment over 150 km of randomly-coupled multi-core fibers. ©2025 The Author(s)

eess.SPcs.LGEngineeringPhysicsComputer Science
View graphSource

Paper

Similar papers

Blind frequency-domain equalization using vector-quantized variational autoencodersJinxiang Song, V. Lauinger, Christian Hager et al.2023 · European Conference on Optical Communication · 8 citations In Library
Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational AutoencodersV. Lauinger, F. Buchali, L. Schmalen2022 · IEEE Journal on Selected Areas in Communications · 45 citations In Library
Convolutional Neural Network Equalizer for Short-reach Optical Communication SystemsJing Zhang, Lianshan Yan, Lin Jiang et al.2020 · Asia Communications and Photonics conference and Exhibition · 4 citations In Library
Experimental Investigation of Nonlinear Vector Autoregressor-Based Channel Equalization for IM/DD Transmission With Silicon Microring ModulatorsYevhenii Osadchuk, Deming Kong, Darko Zibar et al.2024 · Journal of Lightwave Technology In Library
Blind Equalization Using a Variational Autoencoder With Second Order Volterra Channel ModelSøren F. V. Nielsen, Darko Zibar, Mikkel N. Schmidt2025 · IEEE Transactions on Cognitive Communications and Networking In Library
Unsupervised Linear and Nonlinear Channel Equalization and Decoding using Variational AutoencodersAvi Caciularu, D. Burshtein2019 · IEEE Transactions on Cognitive Communications and Networking · 62 citations In Library
Blind Equalization using a Variational Autoencoder with Second Order Volterra Channel ModelSøren F. V. Nielsen, Darko Zibar, Mikkel N. Schmidt2024 · arXiv (Cornell University) · 2 citations In Library
Experimental Study of Deep Neural Network Equalizers Performance in Optical LinksPedro J. Freire, Yevhenii Osadchuk, B. Spinnler et al.2021 · Optical Fiber Communications Conference and Exhibition · 9 citations In Library
Performance-enhanced Amplified O-band WDM Transmission using Machine Learning based EqualizationYang Hong, S. Deligiannidis, N. Taengnoi et al.2021 · Conference on Lasers and Electro-Optics · 0 citations In Library
High-efficient Equalizer based on the simplified Deep Neural Network for 56Gb/s/λ PAM-4 in C-band 10G DML-based Short reach systemYu Xi, Chenyu Wang, Xin Miao et al.2020 · Asia Communications and Photonics conference and Exhibition · 1 citation In Library
© 2026 NYSGPT2525 LLC