Vincent Lauinger, M.Sc.

Vincent Lauinger, M.Sc.

Forschungsgebiete

  • Empfänger- und Senderalgorithmen basierend auf Maschinellem Lernen und klassischer Signalverarbeitung
  • optische Datenübertragung

Lehre

  • Übung Angewandte Informationstheorie (seit WS 20/21)
  • Übung Nachrichtentechnik 2 (WS20/21)
  • Praktikum Nachrichtentechnik (seit SS 21)

Projekte

  • Accellerating digital transformation in Europe by Intelligent NETwork automation (AI-NET)
    • Automated Network Telecom Infrastructure with Intelligent Autonomous Systems (ANTILLAS)

Aktuelle Arbeiten

Abschlussarbeiten

Offene Abschlussarbeiten

Titel Betreuer Art
ML-basierte Signaltrennung und Interferenzunterdrückung (EN) Benedikt Geiger, Vincent Lauinger MA
Aufwandsarme verteilte Entzerrer für Raummultiplex-Übertragung (EN) Laurent Schmalen, Vincent Lauinger MA
Entwurf und Analyse von neuartigen Entzerrerkonzepten basierend auf Neuronalen Netzen (EN) Vincent Lauinger MA
Analyse und Anwendung von Diffusionsmodellen in der Nachrichtentechnik (EN) Vincent Lauinger MA

Laufende Abschlussarbeiten

Titel Betreuer Art

Derzeit gibt es keine laufenden Abschlussarbeiten.

Gesamte Liste der Veröffentlichungen

Zeitschriftenbeiträge

  1. V. Lauinger, F. Buchali and L. Schmalen, "Blind equalization and channel estimation in coherent optical communications using variational autoencoders," IEEE J. Sel. Areas Commun., vol. 40, no. 9, pp. 2529-2539, Sep. 2022, https://arxiv.org/abs/2204.11776
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  2. F. Buchali, V. Lauinger, M. Chagnon, K. Schuh and V. Aref, "CMOS DAC supported 1.1 Tb/s/lambda DWDM transmission at 9.8 bit/s/Hz over DCI distances," J. Lightw. Technol., Oct. 2020
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Konferenzbeiträge

  1. J. Ney, P. Matalla, V. Lauinger, L. Schmalen, S. Randel and N. Wehn, "Real-time FPGA demonstrator of ANN-based equalization for optical communications," Proc. IEEE International Conference on Machine Learning for Communication and Networking (ICMLCN), Stockholm, Sweden, May. 2024, Demo session, https://arxiv.org/abs/2402.15288
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  2. V. Lauinger, P. Matalla, J. Ney, N. Wehn, S. Randel and L. Schmalen, "Fully-blind neural network based equalization for severe nonlinear distortions in 112 Gbit/s passive optical networks," Proc. Opt. Fiber Commun. Conf. (OFC), San Diego, CA, USA, Mar. 2024, https://arxiv.org/abs/2401.09579
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  3. J. Song, V. Lauinger, C. Häger, J. Schröder, A. Graell i Amat, L. Schmalen and H. Wymeersch, "Blind frequency-domain equalization using vector-quantized variational autoencoders," Proc. Eur. Conf. Opt. Commun. (ECOC), Glasgow, UK, Oct. 2023, https://arxiv.org/abs/2312.16003
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  4. J. Ney, C. Füllner, V. Lauinger, L. Schmalen, S. Randel and N. Wehn, "From algorithm to implementation: enabling high-throughput CNN-based equalization on FPGA for optical communications," Proc. Samos Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXIII), Samos, Greece, Jul. 2023, Stamatis Vassiliadis Best Paper Award
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  5. J. Ney, V. Lauinger, L. Schmalen and N. Wehn, "Unsupervised ANN-based equalizer and its trainable FPGA implementation," Proc. European Conference on Networks and Communications (EuCNC) and 6G Summit, Gothenburg, Sweden, Jun. 2023, https://arxiv.org/abs/2304.06987
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  6. V. Lauinger, F. Buchali and L. Schmalen, "Improving the bootstrap of blind equalizers with variational autoencoders," Proc. Opt. Fiber Commun. Conf. (OFC), San Diego, CA, USA, Mar. 2023, https://arxiv.org/abs/2301.06576
    [ Zitieren ]  [ Presentation ]  
  7. V. Lauinger, M. Hoffmann, J. Ney, N. Wehn and L. Schmalen, "Blind and channel-agnostic equalization using adversarial networks," Proc. IEEE Global Commun. Conf. (GLOBECOM), Rio de Janeiro, Brazil, Dec. 2022, https://arxiv.org/abs/2209.07277
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  8. V. Lauinger, F. Buchali and L. Schmalen, "Blind equalization for coherent optical communications based on variational inference," Proc. Advanced Photonic Congress: Signal Processing in Photonic Communications (SPPCom), pp. SpTh1D.6, Jul. 2021
    [ Zitieren ]  [ Presentation ]  
  9. F. Buchali, V. Lauinger, M. Chagnon, K. Schuh and V. Aref, "1.1 Tb/s/lambda at 9.8 bit/s/Hz DWDM transmission over DCI distances supported by CMOS DACs," Proc. Opt. Fiber Commun. Conf. (OFC), pp. Th3E–2, San Diego, CA, USA, Mar. 2020
    [ Zitieren ]  
  10. F. Buchali, M. Chagnon, K. Schuh and V. Lauinger, "Beyond 100 GBaud transmission supported by a 120 GSa/s CMOS digital to analog converter," Proc. Eur. Conf. Opt. Commun. (ECOC), Dublin, Ireland, Sep. 2019
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