Vincent Lauinger, M.Sc.

Vincent Lauinger, M.Sc.

Research Topics

  • Transmitter and receiver algorithms based on Machine Learning and "classical" signal processing approaches
  • Optical data transmission

Teaching

  • Tutorial Angewandte Informationstheorie (since WS 20/21)
  • Tutorial Communication Engineering 2 (WS20/21)
  • Praktikum Nachrichtentechnik (since SS 21)

Projects

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

Current Theses

Theses

Open Theses

Title Supervisor Type
Low-complexity Distributed Equalizers for Data Transmission Using Spatial Division Multiplexing (DE) Laurent Schmalen, Vincent Lauinger MA
Design and Analysis of Novel Equalisation Concepts Based on Neural Networks (DE) Vincent Lauinger MA
Analysis and Application of Diffusion Models in Communications (DE) Vincent Lauinger MA

Theses In Progress

Title Supervisor Type

There are currently no theses in progress.

Full List of Publications

Journal papers

  1. A. Rode, M. Farsi, V. Lauinger, M. Karlsson, E. Agrell, L. Schmalen and C. Häger, "Machine learning opportunities for integrated polarization sensing and communication in optical fibers," Optical Fiber Technology, 2025, accepted for publication
    [ Cite ]  
  2. 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
    [ Cite ]  [ Available here ]  [ Code ]
  3. 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
    [ Cite ]  

Conference papers

  1. L. Schmalen, V. Lauinger, J. Ney, N. Wehn, P. Matalla, S. Randel, A. von Bank and E. M. Edelmann, "Recent advances on machine learning-aided DSP for short-reach and long-haul optical communications," Proc. Opt. Fiber Commun. Conf. (OFC), San Francisco, CA, USA, Mar. 2025, invited presentation
    [ Cite ]  
  2. 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
    [ Cite ]  
  3. 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
    [ Cite ]  
  4. 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
    [ Cite ]  
  5. 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
    [ Cite ]  
  6. 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
    [ Cite ]  
  7. 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
    [ Cite ]  [ Presentation ]  
  8. 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
    [ Cite ]  [ Presentation ]  
  9. 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
    [ Cite ]  [ Presentation ]  
  10. 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
    [ Cite ]  
  11. 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
    [ Cite ]