6 papers
The Memory-Enhanced Gaussian Noise (MEGN) Model for Fiber-Optic Channels
Kaiquan Wu, Gabriele Liga, Marco Secondini +5
The enhanced Gaussian noise (EGN) model is widely used for estimating the nonlinear interference (NLI) power accumulated in coherent fiber-optic transmission systems. Given a fixed…
Nonlinearity Compensation for Coherent Optical Satellite Communications
Stella Civelli, Luca Potì, Enrico Forestieri +1
Optical satellite uplinks rely on high-power optical amplifiers (HPOAs) to overcome free-space attenuation and enable long-distance transmission. However, at high power levels, fib…
Joint Subcarrier Phase Recovery for Nonlinearity Mitigation
Marco Secondini, Stella Civelli
We propose a low-complexity phase recovery scheme that simultaneously mitigates laser phase noise and fiber nonlinearity across several subcarriers. In a long single-span link with…
ML-Enhanced Digital Backpropagation for Long-Reach Single-Span Systems
Dario Cellini, Stella Civelli, Marco Secondini
We propose a digital backpropagation method that employs machine-learning-aided joint optimization of dispersion step lengths and nonlinear phase rotation filters within an FFT-bas…
Fiber Nonlinearity Mitigation in Coherent Optical Systems
Stella Civelli, Dario Cellini, Enrico Forestieri +1
Fiber nonlinearity represents a critical challenge to the capacity enhancement of modern optical communication systems. In recent years, significant research efforts have focused o…
A New Twist on Low-Complexity Digital Backpropagation
Stella Civelli, Debi Pada Jana, Enrico Forestieri +1
This work proposes a novel low-complexity digital backpropagation (DBP) method, with the goal of optimizing the trade-off between backpropagation accuracy and complexity. The metho…