Master Thesis in Asynchronous Random Access Systems based on Spread Spectrum

The DLR Institute of Communications and Navigation is dedicated to mission-oriented research in selected areas of communications and navigation. Its work ranges from the theoretical foundations to the demonstration of new procedures and systems in a real environment and is embedded in DLR's Space, Aeronautics, Transport, Security and Digitalization programmes.

What to expect
The Information Transmission Group was established within the Satellite Networks Department of the Institute of Communications and Navigation to investigate techniques for reliable and secure transmission, processing and storage of information. Grounded on a firm theoretical background, we target the development of algorithms for satellite and (more generally) for wireless communication systems, with emphasis on forward error correction schemes, physical layer techniques and (massive) multiple access. Specific application areas of interest are currently satellite/cellular IoT systems, high-throughput wireless links (including free-space optical communications), as well as high-mobility channels and reliable processing and storage of information.

Your tasks
This master thesis focuses on modeling multiuser detection as a signal separation problem prior to the channel decoder in asynchronous random access systems based on spread spectrum techniques. Starting from an optimal MMSE (Minimum Mean Square Error) receiver to establish the performance benchmark, the objective of the work is to develop an Approximate Message Passing framework. The goal is to significantly reduce the receiver's computational complexity while preserving near-optimal performance. The tasks involve mathematical modeling, algorithmic design leveraging graph theory and iterative decoding concepts (e.g., Belief Propagation), and the simulation-based evaluation of the performance-complexity trade-offs.

Your profile
* Solid background in digital communications, information, and coding theory.
* Advance programming skills.
* Excellent academic records.
We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5610) please contact:

Federico Clazzer

Tel.: +49 (0) 8153 28 1120