Foto von Francesca Diedolo

M.Sc. Francesca Diedolo

Technische Universität München

Lehrstuhl für Nachrichtentechnik (Prof. Kramer)

Postadresse

Postal:
Theresienstr. 90
80333 München

Biografie

  • Seit Februar 2021 wissenschaftliche Mitarbeiterin am Lehrstuhl für Nachrichtentechnik der TUM
  • M.Sc. in  Communications Engineering an der TUM, 2018-2020
  • B.Sc. in Elektro- und Informationstechnik an der Università degli Studi di Padova, 2015-2018

Lehre

Machine Learning for Communications(WS 21/22, WS 22/23, WS 23/24)

Wireless Communications Laboratory (SS22)

Abschlussarbeiten

Angebotene Abschlussarbeiten

Hybrid Decoding of Product-Like Codes

Beschreibung

For high-throughput communications, such as high-speed fiber optics or 8K video streaming, minimizing the complexity and power consumption of the decoding process is crucial. Soft-decision decoding (SDD), which provides state-of-the-art coding gains, is typically impractical in such scenarios due to its high complexity. In contrast, hard-decision decoding (HDD) is highly power-efficient but offers lower coding gains. Hybrid decoding aims to enhance HDD by incorporating soft information without significantly increasing complexity. The student's task is to review and compare some solutions from the literature concerning hybrid decoding of product-like codes.

 

 

 

Voraussetzungen

Information theory, Channel Coding, Channel Codes for Iterative Decoding

Betreuer:

Laufende Abschlussarbeiten

Publikationen

2024

  • 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

2022

  • Diedolo, F.; Böcherer, G.; Schädler M.; Calabrò S.: Nonlinear Equalization for Optical Communications Based on Entropy-Regularized Mean Square Error. European Conference on Optical Communication (ECOC), 2022 mehr… BibTeX
  • Schädler, M.; Böcherer, G.; Diedolo, F.; Calabrò, S.: Nonlinear Component Equalization: A Comparison of Deep Neural Networks and Volterra Series. European Conference on Optical Communication (ECOC), 2022 mehr… BibTeX

2021

  • Böcherer, G.; Diedolo, F.; Pittala, F.: Label Extension for 32QAM: The Extra Bit for a Better FEC Performance-Complexity Tradeoff. 2020 European Conference on Optical Communications (ECOC), IEEE, 2021 mehr… BibTeX Volltext ( DOI )