activity
20152026
most citedWhy Noise and Dispersion may Seriously Hamper Nonlinear Frequency-Division Multiplexing

54 citations · 223 across the 22 of their papers we have counts for

collaborators

23 papers

eess.SP2026

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…

cs.IT2026

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…

eess.SP2026

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…

eess.SP2026

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…

cs.IT2025

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…

cs.IT2024

Cost-Gain Analysis of Sequence Selection for Nonlinearity Mitigation

Stella Civelli, Marco Secondini

We propose a low-complexity sign-dependent metric for sequence selection and study the nonlinear shaping gain achievable for a given computational cost, establishing a benchmark fo…