Coding and Modulation
Efficient communication requires higher order modulation and error control codes. We are approaching the theoretical limits by implementing Shannon‘s blueprint. Two key concepts are probabilistic shaping and quantized message passing to reduce transmitter power and receiver 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 Coşkun
- Delcho Donev
- Diego Lentner
- Tobias Prinz
- Constantin Runge
- Yusuf Şener
- Thomas Wiegart
- Ayman Zahr
Information Theory and Algorithms
We are developing information theory 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:
- Christian Deppe
- Olaf Gröscho
- Abdalla Ibrahim
- Johannes Rosenberger
- Mohammad Salariseddigh
Wireless, Optical, and Quantum Communications
Two key technologies to increase data rates are multi-input, multi-output (MIMO) and space-division multiplexing (SDM). For wireless, massive MIMO uses hundreds of antennas with simplified signal processing, and joint communications and sensing enables efficient internode communication and control. For optical fiber, waveform propagation is described by a non-linear Schrödinger equation (NLSE) and receiver performance can be improved by machine learning. We are further studying information theory for quantum communications.
Currently working in this area:
- Hooman Asgari
- Christian Deppe
- Francesca Diedolo
- Mohammad Mahvari
- Mohammad Momani
- Uzi Pereg
- Lorenzo Zaniboni