Coding and Modulation
Efficient communication requires higher-order modulation and error control codes. We can approach 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.
Currently working in this area:
- Delcho Donev
- Mustafa Karaǧöz
- Tobias Prinz
- Constantin Runge
- Alexander Sauter
- Yusuf Şener
- Thomas Wiegart
- Ayman Zahr
Algorithms, Codes, and Learning
We are developing algorithms and codes for signal processing problems such as machine learning for communications. As the need for secure communications increases, we concentrate on privacy and secrecy related topics. We further investigate non-standard topics such as directed information and identification.
Currently working in this area:
- Rawad Bitar
- Francesca Diedolo
- Abdalla Ibrahim
- Diego Lentner
- Daniel Plabst
- Yue Xia
Wireless and Optical Communication
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 communication 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 advanced message-passing algorithms. We are further studying information theory for quantum communication.
Currently working in this area:
- Hooman Asgari
- Francesca Diedolo
- Yutong Han
- Alex Jäger
- Mohammad Mahvari
- Andreas Straßhofer
- Lorenzo Zaniboni