18 citations · 31 across the 5 of their papers we have counts for
5 papers
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…
Channel Performance Estimations with Extended Channel Probing
Kaida Kaeval, Helmut Griesser, Klaus Grobe +3
We test the concept of extended channel probing in an Optical Spectrum as a Service scenario in coherent optimized flex-grid long-haul and 10Gbit/s OOK optimized 100-GHz fixed-grid…