Results 11 to 20 of about 271 (100)
Enhancing the Credibility of the Optical Performance Monitor With Adversarial Training
IEEE Access, 2020 The existing optical performance monitoring (OPM) scheme based on deep neural network has no selection capability of the input data. They always accept and process all, which may result in serious monitoring errors and reduce the credibility of the ...
Xiaojie Fan +8 more
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AI-Based Modeling and Monitoring Techniques for Future Intelligent Elastic Optical Networks
Applied Sciences, 2020 With the development of 5G technology, high definition video and internet of things, the capacity demand for optical networks has been increasing dramatically. To fulfill the capacity demand, low-margin optical network is attracting attentions. Therefore,
Xiaomin Liu +6 more
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Going Deeper into OSNR Estimation with CNN
Photonics, 2021 As optical performance monitoring (OPM) requires accurate and robust solutions to tackle the increasing dynamic and complicated optical network architectures, we experimentally demonstrate an end-to-end optical signal-to-noise (OSNR) estimation method ...
Fangqi Shen +3 more
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Optical Wireless Performance Monitoring Using Asynchronous Amplitude Histograms
IEEE Photonics Journal, 2021 Optical performance monitoring (OPM) aims to estimate the amount of distortion in optical networks. Its importance relies on building robust and efficient networks with self and dynamic diagnosis.
Maged Abdullah Esmail
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Machine Learning Applications for Short Reach Optical Communication
Photonics, 2022 With the rapid development of optical communication systems, more advanced techniques conventionally used in long-haul transmissions have gradually entered systems covering shorter distances below 100 km, where higher-speed connections are required in ...
Yapeng Xie +3 more
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Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems
IEEE Photonics Journal, 2022 Error vector magnitude (EVM) is a metric for assessing the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques, e.g., feedforward neural networks (FFNNs) -based EVM estimation scheme leverage fast ...
Yuchuan Fan +11 more
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IEEE Photonics Journal, 2018 A novel technique is proposed for joint multi-impairment optical performance monitoring (OPM) with bit-rate and modulation format identification (BR-MFI) in next-generation heterogeneous optic communication networks by convolution neural network (CNN ...
Xiaojie Fan +7 more
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IEEE Access, 2019 We propose a novel feature fusion based multi-task convolutional neural network (ConvNet) for simultaneous bit-rate and modulation format identification (BR-MFI) and optical performance monitoring (OPM) in heterogeneous fiber-optic networks. The proposed
Xiaojie Fan +8 more
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IEEE Photonics Journal, 2020 The in-band OSNR monitoring methods based on the noise-free reference optical spectrum (ROS) have attracted much attention in the field of optical performance monitoring because they are cost-effective and insensitive to chromatic dispersion and ...
Yibo Zhong +6 more
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IEEE Photonics Journal, 2019 In this paper, we study the separability of the commonly used features to monitor the performance of optical signal in coherent optical systems. Specifically, our study focuses on the histogram-based features; the asynchronous amplitude histogram (AAH ...
Waddah S. Saif +4 more
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