Search Results for author: Erik Agrell

Found 8 papers, 3 papers with code

Pilot Distributions for Phase Noise Estimation in Electro-Optic Frequency Comb Systems

no code implementations25 Jan 2024 Mohammad Farsi, Magnus Karlsson, Erik Agrell

We explore the optimal pilot positioning for phase tracking in electro-optic frequency comb setups.

Noise Estimation

Learning to Extract Distributed Polarization Sensing Data from Noisy Jones Matrices

1 code implementation18 Jan 2024 Mohammad Farsi, Christian Häger, Magnus Karlsson, Erik Agrell

We consider the problem of recovering spatially resolved polarization information from receiver Jones matrices.

Data-Driven Estimation of Capacity Upper Bounds

1 code implementation13 May 2022 Christian Häger, Erik Agrell

We consider the problem of estimating an upper bound on the capacity of a memoryless channel with unknown channel law and continuous output alphabet.

Polarization Tracking in the Presence of PDL and Fast Temporal Drift

no code implementations13 May 2022 Mohammad Farsi, Christian Häger, Magnus Karlsson, Erik Agrell

In this paper, we analyze the effectiveness of polarization tracking algorithms in optical transmission systems suffering from fast state of polarization (SOP) rotations and polarization-dependent loss (PDL).

Frequency Logarithmic Perturbation on the Group-Velocity Dispersion Parameter with Applications to Passive Optical Networks

1 code implementation10 Mar 2021 Vinícius Oliari, Erik Agrell, Gabriele Liga, Alex Alvarado

The model can be seen as an improvement of the recently proposed regular perturbation (RP) on the GVD parameter.

Analytical Modeling of Nonlinear Fiber Propagation for Four Dimensional Symmetric Constellations

no code implementations22 Sep 2020 Hami Rabbani, Mostafa Ayaz, Lotfollah Beygi, Gabriele Liga, Alex Alvarado, Erik Agrell, Magnus Karlsson

This nonlinear interference discrepancy between the results of the proposed model and the EGN model could be up to 2. 8 dB for a system with 80 WDM channels.

valid

Low-Complexity Geometric Shaping

no code implementations24 Aug 2020 Ali Mirani, Erik Agrell, Magnus Karlsson

Approaching Shannon's capacity via geometric shaping has usually been regarded as challenging due to modulation and demodulation complexity, requiring look-up tables to store the constellation points and constellation bit labeling.

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