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

353 citations

Showing cs.NIShow all

11 papers · 1 filter

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.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…

cs.NI2022135 cited

Machine Learning-based Anomaly Detection in Optical Fiber Monitoring

Khouloud Abdelli, Joo Yeon Cho, Florian Azendorf +3

Secure and reliable data communication in optical networks is critical for high-speed Internet. However, optical fibers, serving as the data transmission medium providing connectiv…

cs.NI202250 cited

Reflective Fiber Faults Detection and Characterization Using Long-Short-Term Memory

Khouloud Abdelli, Helmut Griesser, Peter Ehrle +2

To reduce operation-and-maintenance expenses (OPEX) and to ensure optical network survivability, optical network operators need to detect and diagnose faults in a timely manner and…

cs.NI202230 cited

Demonstration of latency-aware 5G network slicing on optical metro networks

B. Shariati, L. Velasco, J. -J. Pedreño-Manresa +22

The H2020 METRO-HAUL European project has architected a latency-aware, cost-effective, agile, and programmable optical metro network. This includes the design of semidisaggregated…