Results 31 to 40 of about 1,847,375 (374)

Efficient Second Harmonic Generation in Photonic Crystal Waveguides for Optical Performance Monitoring in the Full C- Band at 42.5 Gb/s

, 2012
International audienceWe demonstrate 20 µW second harmonic generation in a photonic crystal waveguide. The collected signal has been used for optical performance monitoring of the chromatic dispersion and optical signal to noise ratio of a 42.5 Gb/s ...
Bramerie, Laurent, Combrié, Sylvain, De Rossi, Alfredo, Gay, Mathilde, Lehoucq, Gaëlle, Lenglé, Kevin, Simon, Jean-Claude, Xavier, S.   +7 more
core   +4 more sources

Robust Self-Learning Physical Layer Abstraction Utilizing Optical Performance Monitoring and Markov Chain Monte Carlo [PDF]

European Conference on Optical Communication, 2017
Fanchao Meng, Shuangyi Yan, Rui Wang, Yanni Ou, Yu Bi, Reza Nejabati, Dimitra Simeonidou   +6 more
openalex   +2 more sources

Optical performance monitoring using the novel parametric asynchronous eye diagram

Optics Express, 2012
In this paper we present a novel technique, based in what we have called Parametric Asynchronous Eye Diagram (PAED). We have used a simulation scheme, which includes a differentiator and an Artificial Neural Network to monitor simultaneously several ...
Vítor Ribeiro, Liliana Vale Costa, M. Lima, A. Teixeira   +3 more
openalex   +2 more sources

Fast adaptation of multi-task meta-learning for optical performance monitoring.

Optics Express, 2023
An algorithm is proposed for few-shot-learning (FSL) jointing modulation format identification (MFI) and optical signal-to-noise ratio (OSNR) estimation. The constellation diagrams of six widely-used modulation formats over a wide range of OSNR (10-40 dB)
Yu Zhang, Pengcheng Zhou, Yan Liu, Jixiang Wang, Chuanqi Li, Ye Lu   +5 more
semanticscholar   +1 more source

Machine Learning-Based Optical Performance Monitoring for Super-Channel Optical Networks

Photonics, 2022
In this paper, and for the first time in literature, optical performance monitoring (OPM) of super-channel optical networks is considered. In particular, we propose a novel machine learning OPM technique based on the use of transformed in-phase ...
Waddah S. Saif, Amr M. Ragheb, Bernd Nebendahl, Tariq Alshawi, Mohamed Marey, Saleh A. Alshebeili   +5 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

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

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, Xiaodan Pang, Aleksejs Udalcovs, Carlos Natalino, Lu Zhang, Sandis Spolitis, Vjaceslavs Bobrovs, Richard Schatz, Xianbin Yu, Marija Furdek, Sergei Popov, Oskars Ozolins   +11 more
doaj   +1 more source

Link State Aware Dynamic Routing and Spectrum Allocation Strategy in Elastic Optical Networks

IEEE Access, 2020
Compared with traditional wavelength division optical network, elastic optical network (EON) divides the network spectrum into smaller spectrum slots to improve the spectrum utilization, but the high-quality spectrum division also complicates the routing
Yang Zhou, Qiang Sun, Siyu Lin
doaj   +1 more source