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20212025
most citedQoT estimation using EGN-assisted machine learning for multi-period network planning

15 citations · 51 across the 12 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.NI2023

Capitalizing on Next-Generation Optical Communication Systems with Proactive Multi-Period Network Planning

Jasper Müller, Sai Kireet Patri, Gabriele Di Rosa +3

Optical transport network operators typically follow a pay-as-you-grow strategy for their network deployment. We propose a proactive multi-period planning approach based on heurist…

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★ 15 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.NI2023★ 4 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.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.NI2023

Optical Networks and Interconnects

Carmen Mas-Machuca, Lena Wosinska, Marco Ruffini +1

The rapid evolution of communication technologies such as 5G and beyond, rely on optical networks to support the challenging and ambitious requirements that include both capacity a…