Results 111 to 120 of about 17,730 (136)

Error Vector Magnitude estimation for intelligent optical performance monitoring using transfer learning

IEEE International Conference on Electrical, Computer and Communication Technologies, 2023
New applications, like high-definition video, the Internet of things (IoT), fifth-generation new radio (5G NR), and others, have significantly aided our daily lives thanks to the data-driven approaches that are developing so quickly.
Himanshu Chaudhary, R. Jeyachitra, Sindhumitha Kulandaivel   +2 more
semanticscholar   +1 more source

Nonlinear Activation Function-Free Artificial Neural Network Enabled Optical Performance Monitoring

IEEE Communications Magazine, 2023
Optical performance monitoring (OPM) by leveraging artificial neural network (ANN) has become a promising data-driven solution for stability, reconfiguration, and efficient utilization of heterogeneous optical networks.
Yijun Cheng, Huaijian Luo, Meng Xiang, Zhijun Yan, Changyuan Yu, Yuwen Qin, Songnian Fu   +6 more
semanticscholar   +1 more source

Progresses of Pilot Tone Based Optical Performance Monitoring in Coherent Systems

Journal of Lightwave Technology, 2022
Pilot tone (PT) is a low frequency, small intensity modulation applied to high speed optical channel. Traditionally PT is used for channel identification and channel power monitoring.
Zhiping Jiang, Xuefeng Tang, Simin Wang, Ge Gao, Dajiang Jin, Jianfeng Wang, Minggang Si   +6 more
semanticscholar   +1 more source

Joint modulation format recognition and optical performance monitoring for efficient fiber-optic communication links using ensemble deep transfer learning

Optical Engineering: The Journal of SPIE, 2022
. We propose an ensemble deep transfer learning (EDTL) method, which is a more refined multilayer feature extraction achieved by aggregating the convolutional layers of pretrained convolutional neural network models for joint optical modulation format ...
Kulandaivel Sindhumitha, R. Jeyachitra, S. Manochandar   +2 more
semanticscholar   +1 more source

DNN-based optical performance monitoring and its application for soft failure localization by multipoint estimation

Journal of Optical Communications and Networking, 2022
In current optical communication networks, it is becoming increasingly important to use optical performance monitoring (OPM), which monitors the transmission characteristics of optical signals, to detect early degradation of features that may affect ...
Takafumi Tanaka, Tetsuro Inui, S. Kawai
semanticscholar   +1 more source

Joint multi-parameter optical performance monitoring scheme based on trajectory information for a Stokes vector direct detection system.

Applied Optics, 2022
In this study, we propose and verify a joint multi-parameter optical performance monitoring (OPM) scheme based on trajectory information for the Stokes vector direct detection (SVDD) system, for the first time, to the best of our knowledge.
Xinkuo Yu, Chenglin Bai, Lishan Yang, Hengying Xu, Weibin Sun, Jianping Li   +5 more
semanticscholar   +1 more source

Linear Neural Network Enabled Optical Performance Monitoring from Directly Detected PDM-QAM Signals

Asia Communications and Photonics conference and Exhibition, 2022
We experimentally demonstrate a linear neural network (LNN) enabled optical performance monitoring (OPM) for PDM-QAM signals, by using the amplitude histogram (AH) generated from the direct detection. When both 10Gbaud PDM-QAM16/64 signals are considered,
Yijun Cheng, Songnian Fu, Zhiyun Yan, Yuwen Qin   +3 more
semanticscholar   +1 more source

Cost-Effective Multi-Parameter Optical Performance Monitoring Using Multi-Task Deep Learning With Adaptive ADTP and AAH

Journal of Lightwave Technology, 2021
A cost-effective optical performance monitoring (OPM) scheme is proposed to realize modulation format identification (MFI), baud rate identification (BRI), chromatic dispersion identification (CDI), and optical signal-to-noise ratio (OSNR) estimation of ...
Huaijian Luo, Zhuili Huang, Xiong Wu, Changyuan Yu   +3 more
semanticscholar   +1 more source

Optical Performance monitoring using Q-learning optimized least square support vector machine in optical network

IEEE International Conference on Signal and Image Processing, 2021
Optical performance monitoring (OPM) is one of the important technologies to ensure the normal transmission of optical network data. Although there are many techniques have been applied to OPM, it is still necessary to improve its monitoring performance ...
Qiang Sun, Zhuojia Yang, Xiaodong Chen, Chengqing Yu   +3 more
semanticscholar   +1 more source

Artificial intelligence based optical performance monitoring

Journal of optical communications, 2021
In this paper, a technique for optical performance monitoring (OPM) using deep learning-based artificial neural network (ANN) is implemented. ANN is trained with parameters derived from eye-diagram for the identification of optical signal to noise ratio (
P. Rai, Rahul Kaushik
semanticscholar   +1 more source