2 citations · 3 across the 7 of their papers we have counts for
7 papers
End-to-End Modelling of Earthquake-Induced Polarisation Perturbations in Submarine Optical Fibres
Rick M. Butler, José Núñez-Kasaneva, Gabriele Liga +3
We present an end-to-end model of earthquake-perturbed signal propagation in submarine fibres. Ground displacements are converted to fibre strain via ocean pressure, and injected i…
Channel Estimation and LDPC Decoding for Bursty Phase Noise
Han Cui, Frank R. Kschischang, Magnus Karlsson +1
Time-varying distortions in communication systems can significantly degrade the performance of soft-decision forward error correction. This paper presents a burst-aware (BA) low-de…
PIDT: Physics-Informed Digital Twin for Optical Fiber Parameter Estimation
Zicong Jiang, Magnus Karlsson, Erik Agrell +1
We propose physics-informed digital twin (PIDT): a fiber parameter estimation approach that combines a parameterized split-step method with a physics-informed loss. PIDT improves a…
On the Capacity of Correlated Phase-Noise Channels: An Electro-Optic Frequency Comb Example
Mohammad Farsi, Hamdi Joudeh, Gabriele Liga +3
The capacity of a discrete-time channel with correlated phase noises is investigated. In particular, the electro-optic frequency comb system is considered, where the phase noise of…
Pilot Distributions for Phase Noise Estimation in Electro-Optic Frequency Comb Systems
Mohammad Farsi, Magnus Karlsson, Erik Agrell
We explore the optimal pilot positioning for phase tracking in electro-optic frequency comb setups. We show that, in contrast to previous results for regular multichannel systems,…
Learning to Extract Distributed Polarization Sensing Data from Noisy Jones Matrices
Mohammad Farsi, Christian Häger, Magnus Karlsson +1
We consider the problem of recovering spatially resolved polarization information from receiver Jones matrices. We introduce a physics-based learning approach, improving noise resi…
Coded Modulation Schemes for Voronoi Constellations
S. Li, A. Mirani, M. Karlsson +1
Multidimensional Voronoi constellations (VCs) are shown to be more power-efficient than quadrature amplitude modulation (QAM) formats given the same uncoded bit error rate, and als…