Advanced Topics in Communications Engineering

Vortragende/r (Mitwirkende/r)
Umfang3 SWS
SemesterSommersemester 2020
Stellung in StudienplänenSiehe TUMonline
TermineSiehe TUMonline




The focus of this course is on modern coding theory. In contrast to classical coding theory, which finds its roots in algebra, modern coding theory refers to a broad family of coding techniques unified by the use of sparse-graph constructions, iterative decoding algorithms, and probabilistic methods. For this reason, modern codes are also sometimes referred to as graph-based codes or probabilistic codes. Iterative message-passing methods have revolutionized coding, and more generally, communications and storage. The course covers recent advances in modern coding theory: (capacity-achieving) spatially-coupled codes, turbo-like codes, product-like codes from a modern coding theory lens, coding for ultra high-throughput applications, neural decoders, and the application of coding to areas beyond communication and storage. The course will cover the following content: 1. Factor graphs 2. LDPC codes (review) 3. Spatially-coupled LDPC codes 4. Turbo-like codes 5. Spatially-coupled turbo-like codes 6. Product-like codes from a modern coding theory lens 7. LDPC decoders for high-throughput applications 8. Product-like decoders for high-throughput applications 9. Rateless codes 10. Neural decoders for linear block codes 11. Applications of (graph-based) coding beyond communications and storage

Inhaltliche Voraussetzungen

Basic channel coding