most citedA QoT Estimation Method using EGN-assisted Machine Learning for Network Planning Applications

12 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2023★ 1 cited

On the Benefits of Rate-Adaptive Transceivers: A Network Planning Study

Jasper Müller, Gabriele Di Rosa, Tobias Fehenberger +4

Flexible-grid Elastic Optical Networks (EONs) have been widely deployed in recent years to support the growing demand for bandwidth-intensive applications. To address this cost-eff…

cs.NI2023★ 1 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.NI2023★ 3 cited

Experimental Demonstration of ML-Based DWDM System Margin Estimation

Jasper Müller, Frank Slyne, Kaida Kaeval +6

SNR margins between partially and fully loaded DWDM systems are estimated without detailed knowledge of the network. The ML model, trained on simulation data, achieves accurate pre…

cs.NI2021★ 12 cited

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…

cs.NI2021★ 10 cited

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…