no code implementations • 26 Dec 2023 • Jinxiang Song, Vincent Lauinger, Christian Häger, Jochen Schröder, Alexandre Graell i Amat, Laurent Schmalen, Henk Wymeersch
We propose a novel frequency-domain blind equalization scheme for coherent optical communications.
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 • 22 Feb 2023 • Jinxiang Song, Vincent Lauinger, Yibo Wu, Christian Häger, Jochen Schröder, Alexandre Graell i Amat, Laurent Schmalen, Henk Wymeersch
Furthermore, we show that for the linear channel, the proposed scheme exhibits better convergence properties than the \ac{MMSE}-based, the \ac{CMA}-based, and the \ac{VAE}-based equalizers in terms of both convergence speed and robustness to variations in training batch size and learning rate.
1 code implementation • 29 Nov 2021 • Jinxiang Song, Christian Häger, Jochen Schröder, Alexandre Graell i Amat, Henk Wymeersch
Simulation results show that the reinforcement-learning-based algorithm achieves similar performance to the standard supervised end-to-end learning approach assuming perfect channel knowledge.
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 • 20 Apr 2021 • Ravikiran Kakarla, Mikael Mazur, Jochen Schröder, Peter A. Andrekson
Receiver sensitivity is a particularly important metric in optical communication links operating at low signal-to-noise ratios (SNRs), for example in deep-space communication, since it directly limits the maximum achievable reach and data rate.
no code implementations • 29 Mar 2021 • Jinxiang Song, Christian Häger, Jochen Schröder, Alexandre Graell i Amat, Henk Wymeersch
We propose an end-to-end learning-based approach for superchannel systems impaired by non-ideal hardware component.
no code implementations • 19 May 2020 • Jinxiang Song, Christian Häger, Jochen Schröder, Tim O'Shea, Henk Wymeersch
End-to-end data-driven machine learning (ML) of multiple-input multiple-output (MIMO) systems has been shown to have the potential of exceeding the performance of engineered MIMO transceivers, without any a priori knowledge of communication-theoretic principles.