no code implementations • 7 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.
no code implementations • 25 Jan 2024 • Mohammad Farsi, Magnus Karlsson, Erik Agrell
We explore the optimal pilot positioning for phase tracking in electro-optic frequency comb setups.
1 code implementation • 18 Jan 2024 • Mohammad Farsi, Christian Häger, Magnus Karlsson, Erik Agrell
We consider the problem of recovering spatially resolved polarization information from receiver Jones matrices.
no code implementations • 3 Jul 2023 • Mikael Mazur, Lauren Dallachiesa, Roland Ryf, Dennis Wallberg, Erik Börjesson, Magnus Bergroth, Börje Josefsson, Nicolas K. Fontaine, Haoshuo Chen, David T. Neilson, Jochen Schröder, Per Larsson-Edefors, Magnus Karlsson
We monitor a 524km live network link using an FPGA-based sensing-capable coherent transceiver prototype during a human-caused cable break.
no code implementations • 8 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.
no code implementations • 13 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).
no code implementations • 9 Jun 2021 • Jinxiang Song, Zonglong He, Christian Häger, Magnus Karlsson, Alexandre Graell i Amat, Henk Wymeersch, Jochen Schröder
We demonstrate, for the first time, experimental over-the-fiber training of transmitter neural networks (NNs) using reinforcement learning.
no code implementations • 22 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.
no code implementations • 24 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.