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Technical University of Munich
Picture of Mahdi Mahvari

M.Sc. Mahdi Mahvari

Technical University of Munich

Chair of Communications Engineering (Prof. Kramer)

Postal address

Theresienstr. 90
80333 München

Biography

  • Doctoral Researcher at the Institute of Communications Engineering, Technical University of Munich (since 06/2021)
  • M.Sc. in Electrical Engineering-Communication Systems, Sharif University of Technology (2017-2019)
  • B.Sc. in Electrical Engineering-Communication Systems, Iran University of Science and Technology (2013-2017)

Research Interests

  • Information Theory
  • Wireless Communication
  • Machine Learning in Communication

Teaching

Mobile Communications

Multi-user Information Theory

Thesis

Communication with Coarse Quantization

Description

Motivated by the cell-free and massive MIMO (multiple input multiple outputs) communication scenarios, the number of power amplifiers (PA), digital to analog converters (DAC), etc., is increased. Thus, using coarse quantized transmission reduces the channel's hardware cost and nonlinear effects. More details can be found in the attached file.

In this project, we investigate algorithms for mapping modulated data to coarsely quantized signals and compare their information rates. 

The student needs an understanding of information theory and communication systems.

Supervisor:

Mahdi Mahvari,Daniel Plabst

Publications

  1. M. M. Mahvari and G. Kramer, "Stability of Bernstein’s Characterization of Gaussian Vectors and a Soft Doubling Argument," 2023 IEEE Information Theory Workshop (ITW), Saint-Malo, France, 2023, pp. 19-23, doi: 10.1109/ITW55543.2023.10161689.
  2. M. M. Mahvari and G. Kramer, "Stability of Bernstein’s Theorem and Soft Doubling for Vector Gaussian Channels," in IEEE Transactions on Information Theory, vol. 69, no. 10, pp. 6231-6250, Oct. 2023, doi: 10.1109/TIT.2023.3293311.
  3. M. M. Mahvari, M. Kobayashi and A. Zaidi, "Scalable Vector Gaussian Information Bottleneck," 2021 IEEE International Symposium on Information Theory (ISIT), Melbourne, Australia, 2021, pp. 37-42, doi: 10.1109/ISIT45174.2021.9517720.
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