Research: Chair of Communications Engineering

Coding and Modulation

Power efficient communication requires higher order modulation and forward error correction (FEC) codes. We are working on approaching the theoretical limits by implementing Shannon‘s blueprint. Two key concepts are probabilistic shaping and quantized message passing to reduce power consumption and complexity. We design and implement state-of-the-art low-density parity-check (LDPC) and polar codes and decoders over binary and non-binary fields. We test our prototypes in close collaboration with industry.

Currently working in this area:

  • Emna Ben Yacoub
  • Mustafa Cemil Coşkun
  • Delcho Donev
  • Thomas Jerkovits
  • Tobias Prinz
  • Patrick Schulte
  • Fabian Steiner
  • Thomas Wiegart
  • Peihong Yuan

Machine Learning, Compressed Sensing, Security, Identification

We are developing information theoretic frameworks, codes, and algorithms for signal processing problems such as machine learning and compressed sensing. As the need for secure communications increases, we concentrate on privacy and secrecy related topics. We further investigate non-standard topics such as information theory and codes for identification

Currently working in this area:

  • Abdallah Fayed
  • Diego Lentner
  • Lars Palzer
  • Mohammad Salariseddigh

MIMO and Massive MIMO

The demand for higher data rates via wireless channels continues to grow. Base stations and terminals with many antennas are essential to meet the demand, and massive MIMO considers hundreds or thousands of antennas with simplified signal processing. Our research focuses on issues such as complexity reduction via few-bit analog-to-digital converters and simplified precoding. We further try to consider physically correct modeling and realistic device constraints.

Currently working in this area:

  • Amir Ahmadian
  • Andrei Nedelcu

Optical Communications

Fiber optic cables form the backbone of our global communication networks, no other media allows a faster data exchange. A useful description of waveform propagation in optical fiber is given by the non-linear Schrödinger equation (NLSE). However, its form does not admit easy insight of information theoretically relevant quantities such as capacity. Recently, the Non-Linear Fourier  Transform (NFT) was suggested as a means to explain some of the effects observed before. We are investigating this approach, as well as pseudo-linear transmission techniques.

Currently working in this area:

  • Javier Garcia
  • Tayyab Mehmood