At the NetIT (Network Information Theory) chair, headed by Prof. Stanczak, we focus on research and development of new technologies for future generations of wireless networks. We explore not only the theory, but also the implementation of these technologies in practical systems. There is close cooperation with the Wireless Communications and Networks Department at the Fraunhofer Heinrich Hertz Institute. 

An important strategic goal of the research work is the development of novel technologies for mobile networks of the sixth generation (6G).  We are mainly interested in methods for lower layers of the protocol stack, including the study and development of AI-based online algorithms for robust radio access systems. To support this work, we are always looking for bright minds. Therefore, please feel free to contact us at any time by email with your application documents.

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Our courses in Summer Term 2023!

Theory and Algorithms of Machine Learning for Communication by Prof. Dr.-Ing. Slawomir Stanczak

• 17.04.2023 - 17.07.2023
• every Monday from 14:15-15:45 pm
• HFT TA 131
• Enrollment in ISIS for 'TAML-SS2023'

Modern Signal Processing for Communications by  Dr. Renato L.G. Cavalcante

• 18.04.2023 - 18.07.2023
• every Tuesday from 14:15-15:45 pm
• HFT TA 131
• Enrollment in ISIS for 'MSPC-SS2023'

Selected Topics in Wireless Communications and Networking by Dr. Zoran Utkovski 

• 18.04.2023 - 18.07.2023
• every Tuesday from 16:15-17:45 pm
• HFT TA 131
• Enrollment in ISIS for 'STWCN-SS2023'

Master Project Network Information Systems by Dr.-Ing. Julius Schulz-Zander  

• 17.04.2023 - 21.07.2023
• 2-3 online meetings 
• maximum capacity of students is 10 (please contact the secretariat HFT 6-1)
• more details can be found here

You can find the module descriptions in MOSES: 

• Modern Wireless Communications
• Mathematics of Machine Learning
• Modern Signal Processing for Communications
• Master Project Network Information Systems

Our courses in Winter Term 2022/ 23!

Fundamentals of Digital Wireless Network and Communications  by Prof. Dr.-Ing. Slawomir Stanczak 

• part of the module Modern Wireless Communications
• 2 SWS, 6 Credit Points for both parts

Mathematical Introduction to Machine Learning  by Dr. rer. nat. Igor Bjelakovic 

• part of the modules Mathematics of Machine Learning & Modern Signal Processing and Communications 
• 2 SWS, 6Credit Points for both parts

Master Project Network Information Systems by Dr.-Ing. Julius Schulz-Zander  

• 2-3 online meetings 
• maximum capacity of students is 10 (please contact the secretariat HFT 6-1)
• more details can be found here

The module descriptions can be found in MOSES:

• Modern Wireless Communications
• Mathematics of Machine Learning
• Modern Signal Processing for Communications
• Master Project Network Information Systems