Machine learning techniques for optical performance monitoring and modulation format identification: A survey

WS Saif, MA Esmail, AM Ragheb… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The trade-off between more user bandwidth and quality of service requirements introduces
unprecedented challenges to the next generation smart optical networks. In this regard, the …

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 …

Blind density-peak-based modulation format identification for elastic optical networks

L Jiang, L Yan, A Yi, Y Pan, T Bo, M Hao… - Journal of Lightwave …, 2018 - opg.optica.org
Optical modulation format identification is critical in the next generation of heterogeneous
and reconfigurable optical networks. Here, we present a blind modulation format …

Stokes space modulation format classification based on non-iterative clustering algorithm for coherent optical receivers

X Mai, J Liu, X Wu, Q Zhang, C Guo, Y Yang, Z Li - Optics Express, 2017 - opg.optica.org
A Stokes-space modulation format classification (MFC) technique is proposed for coherent
optical receivers by using a non-iterative clustering algorithm. In the clustering algorithm, two …

Modulation format recognition for optical signals using connected component analysis

T Bo, J Tang, CK Chan - IEEE Photonics Technology Letters, 2016 - ieeexplore.ieee.org
We investigate and characterize the blind modulation format recognition method based on
connected component analysis for general-purpose optical receivers. A converted binary …

Blind and low-complexity modulation format identification scheme using principal component analysis of Stokes parameters for elastic optical networks

H Xu, L Yang, X Yu, Z Zheng, C Bai, W Sun… - Optics express, 2020 - opg.optica.org
We propose a blind and low-complexity modulation format identification (MFI) scheme for
elastic optical networks (EONs). Since the square operation reduces half the number of the …

Efficient classification of optical modulation formats based on singular value decomposition and radon transformation

RA Eltaieb, AEA Farghal, HEH Ahmed… - Journal of Lightwave …, 2020 - opg.optica.org
Two schemes for blind optical modulation format identification (MFI), based on the singular
value decomposition (SVD) and Radon transform (RT) of the constellation diagrams, are …

Blind modulation format identification using differential phase and amplitude ratio

Q Tan, A Yang, P Guo - IEEE Photonics Journal, 2019 - ieeexplore.ieee.org
We propose a blind digital modulation format identification (MFI) method for coherent optical
fiber communication systems. Based on the evaluation of differential phase distribution ratio …

Fan-beam projection based modulation classification for optical systems with phase noise effect

B Mortada, W El-Shafai, O Zahran, ESM El-Rabaie… - Journal of Optics, 2023 - Springer
The automatic modulation recognition (AMR) of optical signals in non-cooperative
conditions has recently become one of the most important research projects. The feasibility …

Stokes space modulation format identification for optical signals using probabilistic neural network

M Hao, L Yan, A Yi, L Jiang, Y Pan… - IEEE Photonics …, 2018 - ieeexplore.ieee.org
A Stokes space modulation format identification (MFI) method using probabilistic neural
network (PNN) is proposed for coherent optical receivers. According to amplitude …