[HTML][HTML] Machine learning-aided optical performance monitoring techniques: A review
DK Tizikara, J Serugunda, A Katumba - Frontiers in Communications …, 2022 - frontiersin.org
Future communication systems are faced with increased demand for high capacity, dynamic
bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have …
bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have …
Modulation format identification in fiber communications using single dynamical node-based photonic reservoir computing
We present a simple approach based on photonic reservoir computing (P-RC) for
modulation format identification (MFI) in optical fiber communications. Here an optically …
modulation format identification (MFI) in optical fiber communications. Here an optically …
Optical performance monitoring in mode division multiplexed optical networks
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 …
fiber (FMF)-based optical networks. 1-D features vector, extracted by projecting a 2-D …
Cause-aware failure detection using an interpretable XGBoost for optical networks
Failure detection is an important part of failure management, and network operators
encounter serious consequences when operating under failure conditions. Machine …
encounter serious consequences when operating under failure conditions. Machine …
Joint modulation format identification and OSNR monitoring using cascaded neural network with transfer learning
J Zhang, Y Li, S Hu, W Zhang, Z Wan… - IEEE Photonics …, 2021 - ieeexplore.ieee.org
We propose a cascaded neural network (NN) to simultaneously identify the modulation
formats and monitor the optical-signal-to-noise ratio (OSNR). In the second-level network, it …
formats and monitor the optical-signal-to-noise ratio (OSNR). In the second-level network, it …
Cost-effective multi-parameter optical performance monitoring using multi-task deep learning with adaptive ADTP and AAH
A cost-effective optical performance monitoring (OPM) scheme is proposed to realize
modulation format identification (MFI), baud rate identification (BRI), chromatic dispersion …
modulation format identification (MFI), baud rate identification (BRI), chromatic dispersion …
Joint OSNR monitoring and modulation format identification on signal amplitude histograms using convolutional neural network
A joint optical signal-to-noise ratio (OSNR) monitoring and modulation format identification
(MFI) is proposed based on signal amplitude histograms (AHs) by using convolutional …
(MFI) is proposed based on signal amplitude histograms (AHs) by using convolutional …
Simultaneous modulation format identification and OSNR monitoring based on optoelectronic reservoir computing
An approach for simultaneous modulation format identification (MFI) and optical signal-to-
noise ratio (OSNR) monitoring in digital coherent optical communications is proposed based …
noise ratio (OSNR) monitoring in digital coherent optical communications is proposed based …
An Overview of Machine Learning-aided Optical Performance Monitoring Techniques
DK Tizikara, J Serugunda, A Katumba - arXiv preprint arXiv:2107.07338, 2021 - arxiv.org
Future communication systems are faced with increased demand for high capacity, dynamic
bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have …
bandwidth, reliability and heterogeneous traffic. To meet these requirements, networks have …
Multi-task learning convolutional neural network and optical spectrums enabled optical performance monitoring
C Yu, H Wang, C Ke, Z Liang, S Cui… - IEEE Photonics …, 2022 - ieeexplore.ieee.org
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 …
ratio (OSNR) monitoring method by using multi-task learning convolutional neural network …