Results 1 to 10 of about 19,025 (90)

Feedforward Neural Network-Based EVM Estimation: Impairment Tolerance in Coherent Optical Systems [PDF]

, 2022
Error vector magnitude (EVM) is commonly used for evaluating the quality of m-ary quadrature amplitude modulation (mQAM) signals. Recently proposed deep learning techniques for EVM estimation extend the functionality of conventional optical performance ...
Bobrovs, Vjaceslavs, Fan, Yuchuan, Furdek Prekratic, Marija, Natalino Da Silva, Carlos, Ozolins, Oskars, Pang, Xiaodan, Popov, Sergei, Schatz, Richard, Udalcovs, Aleksejs, Yu, Xianbin, Zhang, Lu   +10 more
core   +1 more source

Multi-Task Learning Convolutional Neural Network and Optical Spectrums Enabled Optical Performance Monitoring

IEEE Photonics Journal, 2022
We propose a simultaneous optical signal recognition (OSR) and optical signal-to-noise ratio (OSNR) monitoring method by using multi-task learning convolutional neural network (MTL-CNN) in conjunction with optical spectrums, which enables optical ...
Chenglong Yu, Haoyu Wang, C. Ke, Zi Liang, Sheng Cui, Deming Liu   +5 more
semanticscholar   +1 more source

Machine Learning Based Low-Cost Optical Performance Monitoring in Mode Division Multiplexed Optical Networks

Photonics, 2022
Real-time optical performance monitoring (OPM) is of the utmost importance in adaptive optical networks to enable awareness of channel conditions and to achieve high quality of service.
W. Saif, A. Ragheb, M. Esmail, M. Marey, S. Alshebeili   +4 more
semanticscholar   +1 more source

Optical performance monitoring using lifelong learning with confrontational knowledge distillation in 7-core fiber for elastic optical networks.

Optics Express, 2022
We propose a novel optical performance monitoring (OPM) scheme, including modulation format recognition (MFR) and optical signal-to-noise ratio (OSNR) estimation, for 7-core fiber in elastic optical networks (EONs) by using the specific Stokes sectional ...
Xu Zhu, Bo Liu, J. Ren, Xiaorong Zhu, Y. Mao, Xiangyu Wu, Ying Li, Yongfeng Wu, Lilong Zhao, Tingting Sun, R. Ullah, Yunyun Chen   +11 more
semanticscholar   +1 more source

Optical Labels Enabled Optical Performance Monitoring in WDM Systems

Photonics, 2022
Optical performance monitoring (OPM), particularly the optical power and optical signal-to-noise ratio (OSNR) of each wavelength channel, are of great importance and significance and need to be implemented to ensure stable and efficient operation ...
Tao Yang, Kaixuan Li, Zhengyu Liu, Xue Wang, Sheping Shi, Liqian Wang, Xue Chen   +6 more
semanticscholar   +1 more source

Transmission-Quality-Aware Online Network Design and Provisioning Enabled by Optical Performance Monitoring [PDF]

, 2020
The spectral efficiency of photonic networks can be enhanced by the use of higher modulation orders and narrower channel bandwidth. Unfortunately, these solutions are precluded by the margins required to offset uncertainties in system performance ...
101358, 101359, 101360, 101361, 101362, 101363, 101364, HASEGAWA, Hiroshi, HOSHIDA, Takeshi, KAYANO, Keisuke, MORI, Yojiro, ODA, Shoichiro, SATO, Ken-ichi, YOSHIDA, Setsuo   +13 more
core   +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 ...
W. Saif, A. Ragheb, B. Nebendahl, Tariq A. Alshawi, M. Marey, S. Alshebeili   +5 more
semanticscholar   +1 more source

Root Cause Analysis for Autonomous Optical Network Security Management [PDF]

, 2022
The ongoing evolution of optical networks towards autonomous systems supporting high-performance services beyond 5G requires advanced functionalities for automated security management.
Di Giglio, Andrea, Furdek Prekratic, Marija, Natalino Da Silva, Carlos, Schiano, Marco   +3 more
core   +1 more source

Optical performance monitoring using SOI-based spectral analysis.

Optics Express, 2022
A novel optical performance monitoring (OPM) method based on Fourier transform spectrum analysis (FTSA) is designed for optical signal-to-noise ratio (OSNR) monitoring, modulation format and baud rate recognition in the presence of fiber nonlinearities ...
Zhuili Huang, Ye Tian, Yufei Liu, Huaijian Luo, Xiaojing Long, Changyuan Yu   +5 more
semanticscholar   +1 more source

Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks [PDF]

, 2022
Unsupervised learning (UL) is a technique to detect previously unseen anomalies without needing labeled datasets. We propose the integration of a scalable UL-based inference component in the monitoring loop of an SDN-controlled optical ...
Furdek Prekratic, Marija, Gifre, Lluis, Manso, Carlos, Monti, Paolo, Munoz, Raul, Natalino Da Silva, Carlos, Vilalta, Ricard   +6 more
core   +2 more sources