Optical performance monitoring: A review of current and future technologies
Optical performance monitoring (OPM) is the estimation and acquisition of different physical
parameters of transmitted signals and various components of an optical network. OPM …
parameters of transmitted signals and various components of an optical network. OPM …
Joint OSNR monitoring and modulation format identification in digital coherent receivers using deep neural networks
We experimentally demonstrate the use of deep neural networks (DNNs) in combination
with signals' amplitude histograms (AHs) for simultaneous optical signal-to-noise ratio …
with signals' amplitude histograms (AHs) for simultaneous optical signal-to-noise ratio …
OSNR and nonlinear noise power estimation for optical fiber communication systems using LSTM based deep learning technique
Z Wang, A Yang, P Guo, P He - Optics express, 2018 - opg.optica.org
The optical signal-to-noise ratio (OSNR) and fiber nonlinearity are critical factors in
evaluating the performance of high-speed optical fiber communication systems. Recently …
evaluating the performance of high-speed optical fiber communication systems. Recently …
Application of machine learning in fiber nonlinearity modeling and monitoring for elastic optical networks
Fiber nonlinear interference (NLI) modeling and monitoring are the key building blocks to
support elastic optical networks. In the past, they were normally developed and investigated …
support elastic optical networks. In the past, they were normally developed and investigated …
Security threats and protection procedures for optical networks
This study addresses the issues of optical network survivability to attacks in the optical
physical layer. The authors comprehensively review and discuss the vulnerability of optical …
physical layer. The authors comprehensively review and discuss the vulnerability of optical …
Machine learning based linear and nonlinear noise estimation
Operators are pressured to maximize the achieved capacity over deployed links. This can be
obtained by operating in the weakly nonlinear regime, requiring a precise understanding of …
obtained by operating in the weakly nonlinear regime, requiring a precise understanding of …
Cost-effective and data size–adaptive OPM at intermediated node using convolutional neural network-based image processor
A cost-effective and data size-adaptive optical performance monitoring (OPM) scheme is
proposed, which is based on asynchronous delay-tap plot (ADTP) using convolutional …
proposed, which is based on asynchronous delay-tap plot (ADTP) using convolutional …
Intelligent optical performance monitor using multi-task learning based artificial neural network
An intelligent optical performance monitor using multi-task learning based artificial neural
network (MTL-ANN) is designed for simultaneous OSNR monitoring and modulation format …
network (MTL-ANN) is designed for simultaneous OSNR monitoring and modulation format …
Modulation format identification and OSNR monitoring using density distributions in Stokes axes for digital coherent receivers
A Yi, L Yan, H Liu, L Jiang, Y Pan, B Luo, W Pan - Optics express, 2019 - opg.optica.org
We experimentally demonstrate a modulation format identification (MFI) and optical signal-to-
noise ratio (OSNR) monitoring method for digital coherent receivers by using the specific …
noise ratio (OSNR) monitoring method for digital coherent receivers by using the specific …
Blind modulation format identification for digital coherent receivers
In this paper, a simple novel digital modulation format identification (MFI) scheme for
coherent optical systems is proposed. The scheme is based on the evaluation of the peak-to …
coherent optical systems is proposed. The scheme is based on the evaluation of the peak-to …