To support the development of intelligent optical networks, accurate modeling of the physical
layer is crucial. Digital twin (DT) modeling, which relies on continuous learning with real-time …

Digital twin (DT) has revolutionized optical communication networks by enabling their full life-
cycle management, including planning, prediction, optimization, upgrade, and …

We compare S+ C+ L link power optimization based on the fast and simple heuristic balance
of linear and nonlinear noises versus more complex ML-based techniques to estimate …

On the Robustness of a ML-based Method for QoT Tool Parameter Refinement in Partially
Loaded Networks Page 1 On the Robustness of a ML-based Method for QoT Tool Parameter …

We propose a technique for modeling erbium-doped fiber amplifiers (EDFAs) in optical fiber
networks, where the amplifier unit is located at a distant node outside the laboratory. We …

With the advent of novel elastic optical transponders allowing for fine rate granularity,
network designers can maximize the throughput of current installed and future wavelength …

We present a detailed experimental analysis of the penalty introduced by optical filtering
during propagation of a high-speed coherently detected signal. We investigate the …

Analytical models for quality of transmission (QoT) estimation require safety design margins
to account for uncertain knowledge of input parameters. We propose and evaluate a design …

To improve the spectral efficiency and increase network capacity, wavelength signals must
be multiplexed densely, ie, ultra-dense wavelength-division-multiplexing (WDM) networks …

Digital Twins (DT) are needed in elastic optical networks to enable further advance and
pave the way towards autonomous networks. Dynamical models self-adjusting with their …