output
20162023
most citedArtificial Intelligence (AI) Methods in Optical Networks: A Comprehensive Survey

353 citations

Showing 2023Show all

5 papers · 1 filter

eess.SP20234 cited

Simultaneous Temperature and Acoustic Sensing with Coherent Correlation OTDR

André Sandmann, Florian Azendorf, Michael Eiselt

Superimposed temperature variations and dynamic strain applied through a 400 Hz acoustic signal on a 195 m single-mode fiber section are successfully measured using a coherent corr…

cs.NI202315 cited

QoT estimation using EGN-assisted machine learning for multi-period network planning

Jasper Müller, Sai Kireet Patri, Tobias Fehenberger +3

The rapidly growing traffic demands in fiber-optical networks require flexibility and accuracy in configuring lightpaths, for which fast and accurate quality of transmission (QoT)…

cs.NI20234 cited

Multi-Wavelength Transponders for High-capacity Optical Networks: A Physical-layer-aware Network Planning Study

Jasper Müller, Ognjen Jovanovic, Tobias Fehenberger +3

Continued cost- and power-efficient capacity scaling in optical networks is imperative to keep pace with ever-increasing traffic demands. In this paper, we investigate multi-wavele…

cs.LG202323 cited

Faulty Branch Identification in Passive Optical Networks using Machine Learning

Khouloud Abdelli, Carsten Tropschug, Helmut Griesser +1

Passive optical networks (PONs) have become a promising broadband access network solution. To ensure a reliable transmission, and to meet service level agreements, PON systems have…

cs.NI20231 cited

Comparison of Single-Wavelength and Multi-Wavelength Transponders in a Physical-layer-aware Network Planning Study

Jasper Müller, Ognjen Jovanovic, Carmen Mas-Machuca +3

Based on suitable system architectures and realistic specifications, transmit OSNR penalties and spectral constraints of multi-wavelength transponders are identified and analyzed i…