135 citations · 608 across the 39 of their papers we have counts for
10 papers · 1 filter
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)…
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…
Employing Channel Probing to Derive End-of-Life Service Margins for Optical Spectrum Services. To appear in OPTICA Journal of Optical Communications and Networking
K. Kaeval, F. Slyne, S. Troia +8
Optical Spectrum as a Service (OSaaS) spanning over multiple transparent optical network domains, can significantly reduce the investment and operational costs of the end-to-end se…
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…
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…
A QoT Estimation Method using EGN-assisted Machine Learning for Network Planning Applications
Jasper Müller, Sai Kireet Patri, Tobias Fehenberger +3
An ML model based on precomputed per-channel SCI is proposed. Due to its superior accuracy over closed-form GN, an average SNR gain of 1.1 dB in an end-to-end link optimization and…
Estimating Quality of Transmission in a Live Production Network using Machine Learning
Jasper Müller, Tobias Fehenberger, Sai Kireet Patri +4
We demonstrate QoT estimation in a live network utilizing neural networks trained on synthetic data spanning a large parameter space. The ML-model predicts the measured lightpath p…
Black-Box Assessment of Optical Spectrum Services
Kaida Kaeval, Jörg-Peter Elbers, Klaus Grobe +4
A spectral sweep process is introduced to discover performance issues in optical spectrum services. We detect filtering penalty, spectral ripple/tilt and channel crosstalk in field…
Exploring Channel Probing to Determine Coherent Optical Transponder Configurations in a Long-Haul Network
Kaida Kaeval, Danish Rafique, Kamil Blawat +6
We use channel probing to determine the best transponder configurations for spectral services in a long-haul production network. An estimation accuracy better than +/- 0,7dB in GSN…
QoT Assessment of the Optical Spectrum as a Service in Disaggregated Network Scenarios
Kaida Kaeval, Tobias Fehenberger, Jim Zou +6
The potential to operate third-party terminals over multi-domain transparent optical networks attracts operators and customers to implement Optical Spectrum as a Service (OSaaS). A…