Foto von Daniel Plabst

M.Sc. Daniel Plabst

Technische Universität München

Lehrstuhl für Nachrichtentechnik (Prof. Kramer)

Postadresse

Postal:
Theresienstr. 90
80333 München

Biography

I received my M.Sc. degree from the Technical University of Munich (TUM) in 2018.

In my Master's thesis I worked on signal processing for energy-efficient wireless communication systems at the Associate Professorship of Signal Processing (MSV), while staying with the Wireless Networking and Communications Group at the University of Texas at Austin (UT), USA.

Since 2019, I have been working as a research associate at the Institute of Communications Engineering. From 2019 to 2022 I was supervised by Prof. Norbert Hanik. Since 2023 I am supervised by Prof. Gerhard Kramer.

Research Interests

Direct-Detection (DD) is a cost-effective approach for short-reach fiber-optic communication. A DD receiver uses a single photodiode to measure the intensity of the impinging signal. This suggests that DD is not compatible with phase modulation. However, using oversampling, the phase can be recovered by exploiting inter-symbol interference (ISI).

We investigate DD for short-reach communication in the context of information theory and estimation strategies.

Abschlussarbeiten

Angebotene Abschlussarbeiten

Generalized Approximate Message Passing

Beschreibung

The estimation of a linearly transformed random vector from noisy measurements can be done efficiently by Approximate Message Passing (AMP). AMP is a computationally efficient algorithm that approximates max-sum and sum-product loopy belief propagation (BP). The generalization [1] extends AMP to allow arbitrary separable prior distributions and (non-linear) measurement channels.

The student should be able to understand and interpret the blocks of the generalized AMP. In addition, it should be understood that generalized AMP is a quadratic approximation of loopy BP for MAP estimation.

The literature research should include at least [1].


[1] S. Rangan, "Generalized approximate message passing for estimation with random linear mixing," 2011 IEEE International Symposium on Information Theory Proceedings, St. Petersburg, Russia, 2011, pp. 2168-2172, doi: 10.1109/ISIT.2011.6033942.

 

Voraussetzungen

- Machine Learning for Communications

Betreuer:

Laufende Abschlussarbeiten

Balanced Information Rates for Successive Interference Cancellation

Beschreibung

We are interested in developing SIC schemes that require only one code per stage.

Betreuer:

Alex Jäger, Daniel Plabst

OFDM under Coarse Quantization

Beschreibung

We investigate OFDM under coarse quantization and non-linear power amplification.

Betreuer:

Neural Network-Based Signal Predistortion for Direct Detection Systems

Beschreibung

During the internship, the student will be researching the application of Neural Network-based signal predistortion to mitigate the effects of fiber chromatic dispersion in direct detection systems.

Voraussetzungen

  • basic Python skills beneficial

Betreuer:

Publikationen

2024

  • Plabst D.: Neural Network Equalizers and Successive Intereference Cancellation for Bandlimited Channels with a Nonlinearity. ITG-Workshop KT3.1 "Modellierung und Simulation photonischer Komponenten und Systeme", 2024 mehr… BibTeX
  • Plabst, D.; Prinz, T.; Diedolo, F.; Wiegart, T.; Boecherer, G.; Hanik, N.; Kramer, G.: Neural Network-Based Successive Interference Cancellation for Non-Linear Bandlimited Channels. IEEE Trans. Commun., 2024 mehr… BibTeX Volltext ( DOI )
  • Plabst, D.; Prinz, T.; Diedolo, F.; Wiegart, T.; Böcherer, G.; Hanik, N.; Kramer, G.: Neural network equalizers and successive interference cancellation for bandlimited channels with a nonlinearity. IEEE Intl. Symp. Inf. Theory, 2024 mehr… BibTeX
  • Wiegart, T.; Plabst, D.; Hanik, N.; Kramer, G.: Optimizing Bipolar Constellations for High-Rate Transmission in Short-Reach Fiber Links with Direct Detection. Eur. Conf. Opt. Commun. (ECOC) Conf., 2024 mehr… BibTeX

2023

  • Plabst D.; Diedolo F.; Kramer G.: Neural Network Successive Interference Cancellation for Channels with Intersymbol Interference and a Memoryless Nonlinearity. ITG Professional Group "Applied Information Theory", 2023Stuttgart mehr… BibTeX
  • Prinz T.; Plabst D.; Wiegart T.; Calabro S.; Hanik N.; Kramer G.;: Successive Interference Cancellation for Fiber-Optic Channels with Direct Detection. ITG-Fachgruppe KT3.1, 2023München mehr… BibTeX
  • Prinz, T.; Plabst, D.; Wiegart, T.; Calabro, S.; Hanik, N.; Kramer, G.: Successive Interference Cancellation for Bandlimited Channels with Direct Detection. IEEE Trans. Commun., 2023 mehr… BibTeX Volltext ( DOI )

2022

  • Plabst, D.; Prinz, T.; Wiegart, T.; Rahman, T.; Stojanovic, N.; Calabro, S.; Hanik, N.; Kramer, G.: Achievable Rates for Short-Reach Fiber-Optic Channels with Direct Detection. IEEE/OSA J. Lightw. Technol., 2022 mehr… BibTeX Volltext ( DOI )
  • Prinz, T.; Wiegart, T.; Plabst, D.; Rahman, T.; Hossain, S.; Stojanović, N.; Calabrò, S.; Hanik, N.; Kramer, G.: Comparison of PAM-6 Modulations for Short-Reach Fiber-Optic Links with Intensity Modulation and Direct Detection. European Conference on Optical Communication (ECOC) 2022, 2022 mehr… BibTeX Volltext ( DOI )
  • Wiegart, T.; Plabst, D.; Prinz, T.; Rahman, T.; Schädler, M.; Stojanović, N.; Calabrò, S.; Hanik, N.; Kramer, G.: Experiments on Bipolar Transmission with Direct Detection. European Conference on Optical Communication (ECOC) 2022, 2022 mehr… BibTeX Volltext ( DOI )

2021

  • Mezghani A., Plabst D., Swindlehurst L. A. , Fijalkow I., Nossek J. A.: Sparse Linear Precoders for Mitigating Nonlinearities in Massive MIMO. IEEE Statistical Signal Processing Workshop 2021, 2021 mehr… BibTeX
  • Prinz, T.; Wiegart, T.; Plabst, D.; Calabrò, S.; Böcherer, G.; Stojanovic, N.; Rahman, T.;: PAM-6 Coded Modulation for IM/DD Channels with a Peak-Power Constraint. International Symposium on Topics in Coding (ISTC) 2021, 2021 mehr… BibTeX
  • Wiegart, T.; Prinz, T.; Plabst, D.: Recovering the Phase in DD Receivers with Oversampling: A Toy Example. Huawei Joint Lab Workshop, 2021 mehr… BibTeX

2020

  • Benedikt Leible, Daniel Plabst, Norbert Hanik: Back-to-Back Performance of the Full Spectrum Nonlinear Fourier Transform and Its Inverse. Entropy 22 (10), 2020, 1131 mehr… BibTeX Volltext ( DOI ) Volltext (mediaTUM)
  • Benedikt Leible, Daniel Plabst, Norbert Hanik: Stability of the Full Spectrum Nonlinear FourierTransform. International Conference on Transparent Optical Networks (ICTON) 2020, 2020 mehr… BibTeX Volltext (mediaTUM)
  • Plabst, D.; Hanik, N.: Phase-Retrieval for Short-Reach IM/DD Links. Workshop der Informationstechnischen Gesellschaft (ITG) in Karlsruhe, 2020 mehr… BibTeX
  • Plabst, Daniel; García-Gómez, Francisco Javier; Wiegart, Thomas; Hanik, Norbert: Wiener Filter for Short-Reach Fiber-Optic Links. IEEE Communications Letters 24 (11), 2020, 2546 - 2550 mehr… BibTeX Volltext ( DOI )

2019

  • Plabst, D.; Jedda, H.; Mezghani A.: Linear Transmit Signal Processing in 1-Bit Quantized Massive MIMO Systems. 2019 Munich Doctoral Seminar on Communications, 2019 mehr… BibTeX Volltext (mediaTUM)

2018

  • Munir, J.; Plabst, D.; Nossek, J.A.: Efficient Equalization Method for Cyclic Prefix-Free Coarsely Quantized Massive MIMO Systems. 2018 IEEE International Conference on Communications (ICC), 2018 mehr… BibTeX Volltext ( DOI )
  • Plabst, D.; Munir J.; Mezghani A.; Nossek, J.A.: Efficient Non-linear Equalization for 1-bit Quantized Cyclic Prefix-Free Massive MIMO Systems. 2018 15th International Symposium on Wireless Communication Systems (ISWCS), 2018 mehr… BibTeX Volltext ( DOI )