Search Results for author: Magnus Karlsson

Found 9 papers, 1 papers with code

Edge-based Parametric Digital Twins for Intelligent Building Indoor Climate Modeling

no code implementations7 Mar 2024 Zhongjun Ni, Chi Zhang, Magnus Karlsson, Shaofang Gong

Digital transformation in the built environment generates vast data for developing data-driven models to optimize building operations.

Edge-computing Time Series

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.

Leveraging Deep Learning and Digital Twins to Improve Energy Performance of Buildings

no code implementations8 May 2023 Zhongjun Ni, Chi Zhang, Magnus Karlsson, Shaofang Gong

Digital transformation in buildings accumulates massive operational data, which calls for smart solutions to utilize these data to improve energy performance.

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).

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.

Cannot find the paper you are looking for? You can Submit a new open access paper.