Results 1 to 10 of about 1,755,264 (340)
Optical Labels Enabled Optical Performance Monitoring in WDM Systems [PDF]
Photonics, 2022Optical 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+6 more
doaj +3 more sources
Optical Wireless Performance Monitoring Using Asynchronous Amplitude Histograms [PDF]
IEEE Photonics Journal, 2021Optical 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
doaj +3 more sources
Intelligent optical performance monitor using multi-task learning based artificial neural network [PDF]
, 2018An intelligent optical performance monitor using multi-task learning based artificial neural network (MTL-ANN) is designed for simultaneous OSNR monitoring and modulation format identification (MFI). Signals' amplitude histograms (AHs) after constant module algorithm are selected as the input features for MTL-ANN.
Zhiquan Wan+5 more
arxiv +4 more sources
Optical performance monitoring at 640Gb/s via slow-light in a silicon nanowire [PDF]
Optics Express Volume 18, issue (8) pages 7770-7781 (2010), 2015We demonstrate optical performance monitoring of in-band optical signal to noise ratio (OSNR) and residual dispersion, at bit rates of 40Gb/s, 160Gb/s and 640Gb/s, using slow-light enhanced optical third harmonic generation (THG) in a compact (80 micron) dispersion engineered 2D silicon photonic crystal waveguide.
B. Corcoran+8 more
arxiv +4 more sources
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.
Waddah S. Saif+4 more
doaj +2 more sources
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.
Waddah S. Saif+4 more
doaj +2 more sources
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+5 more
doaj +2 more sources
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+5 more
doaj +2 more sources
Machine Learning-Aided Optical Performance Monitoring Techniques: A Review
Frontiers in Communications and Networks, 2022Future communication systems are faced with increased demand for high capacity, dynamic bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have become more complex and thus require new design methods and monitoring ...
Dativa K. Tizikara+2 more
doaj +2 more sources
An Overview of Machine Learning-aided Optical Performance Monitoring Techniques [PDF]
arXiv, 2021Future communication systems are faced with increased demand for high capacity, dynamic bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have become more complex and thus require new design methods and monitoring techniques, as they evolve towards becoming autonomous.
Dativa K. Tizikara+2 more
arxiv +3 more sources
Optical Arbitrary Waveform Processing of Over 100 Spatial Channels for Optical Performance Monitoring [PDF]
Journal of Lightwave Technology, 2019We developed an optical processing platform that handles over 100 space-division-multiplexed signals in the C-band. The device consists of free-space optics based on liquid crystal on silicon (LCOS) with a waveguide frontend.
M. Nakajima+6 more
semanticscholar +2 more sources
Machine Learning Techniques for Optical Performance Monitoring and Modulation Format Identification: A Survey [PDF]
IEEE Communications Surveys and Tutorials, 2020The trade-off between more user bandwidth and quality of service requirements introduces unprecedented challenges to the next generation smart optical networks.
W. Saif+4 more
semanticscholar +2 more sources