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20132022
most citedApplication of Machine Learning in Fiber Nonlinearity Modeling and Monitoring for Elastic Optical Networks

98 citations · 265 across the 24 of their papers we have counts for

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9 papers · 1 filter

eess.SP2022★ 14 cited

Optical Field Recovery in Jones Space

Qi Wu, Yixiao Zhu, Hexun Jiang +2

Optical full-field recovery makes it possible to compensate for fiber impairments such as chromatic dispersion and polarization mode dispersion (PMD) in the digital signal processi…

eess.SP2022★ 4 cited

Physics-informed EDFA Gain Model Based on Active Learning

Xiaomin Liu, Yuli Chen, Yihao Zhang +4

We propose a physics-informed EDFA gain model based on the active learning method. Experimental results show that the proposed modelling method can reach a higher optimal accuracy…

eess.SP2022★ 52 cited

Fast and accurate waveform modeling of long-haul multi-channel optical fiber transmission using a hybrid model-data driven scheme

Hang Yang, Zekun Niu, Haochen Zhao +3

The modeling of optical wave propagation in optical fiber is a task of fast and accurate solving the nonlinear Schrödinger equation (NLSE), and can enable the optical system design…

eess.SP2021★ 16 cited

An Interpretable Mapping from a Communication System to a Neural Network for Optimal Transceiver-Joint Equalization

Zhiqun Zhai, Hexun Jiang, Mengfan Fu +4

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…

eess.SP2020★ 2 cited

Low Complexity Component Nonlinear Distortions Mitigation Scheme for Probabilistically Shaped 64-QAM Signals

Yiwen Wu, Mengfan Fu, Huazhi Lun +3

We propose a degenerated hierarchical look-up table (DH-LUT) scheme to compensate component nonlinearities. For probabilistically shaped 64-QAM signals, it achieves up to 2-dB SNR…

eess.SP2020★ 18 cited

A Data-Fusion-Assisted Telemetry Layer for Autonomous Optical Networks

Xiaomin Liu, Huazhi Lun, Ruoxuan Gao +4

For further improving the capacity and reliability of optical networks, a closed-loop autonomous architecture is preferred. Considering a large number of optical components in an o…

eess.SP2018★ 2 cited

Digital Radio-over-Multicore-Fiber System with Self-Homodyne Coherent Detection and Entropy Coding for Mobile Fronthaul

Lu Zhang, Aleksejs Udalcovs, Rui Lin +15

We experimentally demonstrate a 28-Gbaud 16-QAM self-homodyne digital radio-over- 33.6km-7-core-fiber system with entropy coding for mobile fronthaul, achieving error-free carrier…

eess.SP2018

Kernel Adaptive Filtering for Nonlinearity-Tolerant Optical Direct Detection Systems

Lu Zhang, Oskars Ozolins, Rui Lin +16

Kernel adaptive filtering (KAF) is proposed for nonlinearity-tolerant optical direct detection. For 7x128Gbit/s PAM4 transmission over 33.6km 7-core-fiber, KAF only needs 10 equali…

eess.SP2018★ 98 cited

Application of Machine Learning in Fiber Nonlinearity Modeling and Monitoring for Elastic Optical Networks

Qunbi Zhuge, Xiaobo Zeng, Huazhi Lun +3

Fiber nonlinear interference (NLI) modeling and monitoring are the key building blocks to support elastic optical networks (EONs). In the past, they were normally developed and inv…