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Prof. Dr.-Ing. Laurent Schmalen

Postal Address:

Karlsruhe Institute of Technology
Communications Engineering Lab
76128 Karlsruhe

Visitors'/ Delivery Address:

Karlsruhe Institute of Technology
Communications Engineering Lab
Building: 05.01
Kreuzstr. 11
76133 Karlsruhe


Phone: +49 (0)721 608-43346
Fax: +49 (0)721 608-46071


Exam dates

(Please take notice of our registration deadlines!)


New Lecture: Channel Coding 2 - Advanced Methods

In the winter term, the CEL offers a new lecture on modern channel coding techniques. In this lecture, currently relevant topics in channel coding like graph-based codes and polar codes are discussed and their application in new standards (e.g., 5G) is discussed. The lecture also deals with the decoding of these codes. Part of the lecture consists in designing a new channel code and to compare it with the coding scheme of 5G. Besides classical error correction, the usage of channel codes for post-quantum-cryptography (i.e., for secure encryption of data) is duscussed. Other topics of the lecture focus on the increase of througputs in computer networks for the efficient distributed storage of large amount of data (e.g., in RAID systems). Besides basic knowledge in probability theory, mathematicas and communications engineering, no other previous knowledge is necessary.

Flyer with additional information: flyer.

Web page of the lecture: Channel Coding 2

Vorlesung "Funkempfänger" im WS19/20

Die von Prof. Jondral angebotene Vorlesung gibt einen Einstieg in die Enwicklung moderner Funkempfänger und behandelt dabei ausgewählte Themenbereiche, unter anderem elektromagnetische Schwingungen, die Fouriertransformation, verschiedene Empfangsprinzipien, die Analog-Digital-Wandlung und Digitalfilter sowie nichtlineare Effekte und Anwendungsbeispiele.

Vorlesungsseite: Funkempfänger

Vorlesungsflyer mit weiteren Informationen: Vorlesungsflyer

Open Position as Research Associate / PhD Candidate

The CEL has an open position as research associate / PhD candidate working on robust and reliable data transmission.

Open Position as Student Assistant

The CEL has an open position as student assistant to work on the lecture examples of the course "Machine Learning & Optimization in Communications". For details, see Job offers