Results 11 to 20 of about 19,053 (108)

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems [PDF]

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 ...
Bobrovs, V., Fan, Yuchuan, Furdek Prekratic, Marija, Natalino Da Silva, Carlos, Ozolins, Oskars, Pang, Xiaodan, Popov, Sergei, Schatz, Richard, Spolitis, Sandis, Udalcovs, Aleksejs, Yu, Xianbin, Zhang, Lu   +11 more
core   +3 more sources

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.
M. Esmail
semanticscholar   +3 more sources

Joint Optical Performance Monitoring and Modulation Format/Bit-Rate Identification by CNN-Based Multi-Task Learning

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, Yulai Xie, F. Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, T. Zhangsun, Jianping Wang   +7 more
semanticscholar   +3 more sources

Feature Fusion-Based Multi-Task ConvNet for Simultaneous Optical Performance Monitoring and Bit-Rate/Modulation Format Identification

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, Lina Wang, F. Ren, Yulai Xie, Xiang Lu, Yiying Zhang, T. Zhangsun, Wei Chen, Jianping Wang   +8 more
semanticscholar   +3 more sources

Optical Performance Monitoring Method Based on Fine-grained Constellation Diagram Recognition [PDF]

Jisuanji kexue, 2023
In optic fiber communication,traditional optical performance monitoring(OPM) mainly relies on analyzing the time-frequency domain information of the signal.However,conventional methods cannot complete multi-task joint monitoring,so they are less flexible.
CHEN Jinjie, HE Chao, XIAO Xiao, LEI Yinjie
doaj   +1 more source

Joint Fiber Nonlinear Noise Estimation, OSNR Estimation and Modulation Format Identification Based on Asynchronous Complex Histograms and Deep Learning for Digital Coherent Receivers

Sensors, 2021
In this paper, asynchronous complex histogram (ACH)-based multi-task artificial neural networks (MT-ANNs), are proposed to realize modulation format identification (MFI), optical signal-to-noise ratio (OSNR) estimation and fiber nonlinear (NL) noise ...
Shuailong Yang, Liu Yang, Fengguang Luo, Bin Li, Xiaobo Wang, Yuting Du, Deming Liu   +6 more
doaj   +1 more source

Survey on Applications of Machine Learning in Low-Cost Non-Coherent Optical Systems: Potentials, Challenges, and Perspective

Photonics, 2023
Direct Detection (DD) optical performance monitoring (OPM), Modulation Format Identification (MFI), and Baud Rate Identification (BRI) are envisioned as crucial components of future-generation optical networks. They bring to optical nodes and receivers a
Muhammad Alrabeiah, Amr M. Ragheb, Saleh A. Alshebeili, Hussein E. Seleem   +3 more
doaj   +1 more source

Experimental Demonstration of Linear Inter-Channel Interference Estimation Based on Neural Networks

IEEE Photonics Journal, 2023
In this paper, an algorithm for the estimation of the linear inter-channel crosstalk in a dense-WDM polarization-multiplexed 16-QAM transmission scenario is proposed and demonstrated.
A. Hraghi, L. Minelli, A. Nespola, S. Piciaccia, G. Bosco   +4 more
doaj   +1 more source

Reliable Optical Performance Monitor: The Combination of Parallel Framework and Skip Connected Generative Adversarial Network

IEEE Access, 2020
Future optical network is developing towards highly heterogeneity and flexibility, which means that the various signals will be transmitted in the network and the optical performance monitor is more likely to encounter the signal beyond its monitoring ...
Xiaojie Fan, Fang Ren, Jingyu Zhang, Yiying Zhang, Jingjing Niu, Jianping Wang   +5 more
doaj   +1 more source

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, Yuwei Su, Tao Dong, Yin Jie, Yiying Zhang, Fang Ren, Jingjing Niu, Jingyu Zhang, Jianping Wang   +8 more
doaj   +1 more source