Optical Performance Monitoring in Mode Division Multiplexed Optical Networks
Journal of Lightwave Technology, 2021 This article considers, for the first time, optical performance monitoring (OPM) in few mode fiber (FMF)-based optical networks. 1-D features vector, extracted by projecting a 2-D asynchronous in-phase quadrature histogram (IQH), and the 2D IQH are ...
W. Saif +3 more
semanticscholar +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Experimental demonstration of adaptive digital monitoring and compensation of chromatic dispersion for coherent DP-QPSK receiver [PDF]
, 2011 We experimentally demonstrate a digital signal processing (DSP)-based optical performance monitoring (OPM) algorithm for inservice monitoring of chromatic dispersion (CD) in coherent transport networks.
Darko Zibar +8 more
core +1 more source
Machine Learning for Optical Network Security Monitoring: A Practical Perspective [PDF]
, 2020 In order to accomplish cost-efficient management of complex optical communication networks, operators are seeking automation of network diagnosis and management by means of Machine Learning (ML).
Di Giglio, Andrea +5 more
core +1 more source
Blind Adaptive Chromatic Dispersion Compensation and Estimation for DSP-Based Coherent Optical Systems [PDF]
, 2013 We propose an accurate and low-complexity blind adaptive algorithm for chromatic dispersion (CD) compensation and estimation in coherent optical systems.
Andrea Peracchi +8 more
core +1 more source
Optical Network Security Management: Requirements, Architecture and Efficient Machine Learning Models for Detection of Evolving Threats [Invited] [PDF]
, 2021 As the communication infrastructure that sustains critical societal services, optical networks need to function in a secure and agile way. Thus, cognitive and automated security management functionalities are needed, fueled by the proliferating machine ...
Furdek Prekratic, Marija +3 more
core +2 more sources
Time-lapse 3-D measurements of a glucose biosensor in multicellular spheroids by light sheet fluorescence microscopy in commercial 96-well plates [PDF]
, 2016 Light sheet fluorescence microscopy has previously been demonstrated on a commercially available inverted fluorescence microscope frame using the method of oblique plane microscopy (OPM). In this paper, OPM is adapted to allow time-lapse 3-D imaging of 3-
Carling, D +7 more
core +1 more source
IEEE Communications Surveys and Tutorials, 2020 The 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 +1 more source