Offers for Bachelor and Master Theses

In the section "Current Theses", you'll find our currently available Bachelor and Master theses. The topic of each thesis is usually closely linked to a research topic of a scientific employee, who is offering the topic.

If you are interested in a specific topic, please contact (phone, e-mail) the corresponding employee directly and arrange for a nonbinding conversation. Even if you are not fully convinced a certain thesis would be best suited for you, it will be beneficial to initiate a contact, if you find the topic appealing. Often such conversations lead to new ideas and we have the flexibility to respond to your interests and skills by adapting the topic. Should you have questions about the general procedure, or are interested a topic that's not listed below, please contact Dr. Holger Jäkel.

The section "Finished Theses" contains a list of finished theses. These should give you an idea about the research topics previously processed by the employees of the institute. Possibly, you will have the opportunity to continue on or another of these topics. A guideline here is also to contact the employee and arrange a nonbinding conversation.

If you have an own idea or suggestion for a theses that is not listed here, please contact Holger Jäkel! We are always willing and interested to purse new and interesting directions in communications engineering.

Also note that some of the topics listed below are in German. If you require assistance in translating the contents, please do not hesitate to contact us.

ETIT Project

As an alternative to the industrial internship, you can conduct multiple interesting projects at the CEL in the broad scope of communications. You can conduct the projects either alone or in a group. For more details, please do not hesitate to contact us.

Current Theses

ETIT projects:
  • Optimization and implementation of communication systems using maschine learning
  • Implementation and evaluation of contact tracing approaches using software defined radios
Theses

Besides the topics listed here, some aspects of the master theses below and the ETIT project can also be carried out as a bachelor thesis. If you can't find your preferred topic listed here, please contact us directly.

 

Title Supervisor Type
Analysis of Time-sensitive Real-time Communications over 5G Mobile Communication Systems Peter Rost MA/BA
Realisierung von Kanaldecodierung durch Optimierungsverfahren Holger Jäkel BA
Compression Methods for IEEE754 Floating Point Numbers Marcus Müller BA
Machine Learning-based optimization of a Decoder for Tail-Biting Convolutional Codes Marcus Müller BA
Investigation into radio transformer networks for parameter estimation and equalization Andrej Rode BA
Soft-aided Hard-decision Decoding for Staircase Codes Sisi Miao BA/MA
Investigation of Semantic Communiations in 6G Mobile Communications Laurent Schmalen MA
Direct Detection Under Tukey Signaling Erdem Cil, Vincent Lauinger MA/BA
Low-rate Polar Code Design Erdem Cil MA
Design and implementation of a syndrom decoding algorithm based on deep learning Benjamin Sturm MA
Decoding of Quantum LDPC Codes with a Modified Belief Propagation Decoder Sisi Miao MA
Soft-aided Hard-decision Decoding for Staircase Codes Sisi Miao MA/BA
Neural Network Based Equalisation in the Presence of Non-ideal Neurons Vincent Lauinger MA
Design and Analysis of Novel Equalisation Concepts Based on Neural Networks Vincent Lauinger MA
Advanced Software-Defined Radio Testbed for a Emergency Location Beacon System Marcus Müller MA
Implementation of a differentiable channel model for E2E constellation optimization in long-haul optical fiber communication Andrej Rode MA
Waveforms for Future Wireless Communication and Joint Communication and Sensing Charlotte Muth, Luca Schmid MA
Radar sensing in affine frequency-division
multiplexing (AFDM)
Charlotte Muth MA
Radar target tracking with recurrent neural networks in integrated communications and sensing (ICaS) Charlotte Muth MA
Investigation of Graph Neural Networks Luca Schmid MA
Ressourcenzuweisung mittels Spiking Neural Network-basierten Deep Reinforcement Algorithmen Eike Bansbach MA

Finished Theses (Selection)

  • Spike-Timing-Dependent Plasticity-trained Spiking Neural Networks for Classification of AWGN-disturbed Quadrature Amplitude Modulation Symbols (B.Sc.)
  • Optimization of Puncturing and Shortening Patterns of Error Correcting Codes Using Machine Learning (B.Sc.)
  • Development of a Reinforcement Learning Agent for OFDM Resource Allocation (M.Sc.)
  • A Nonorthogonal Approach to Multiple Access in Coherent Optical Communication Systems (M.Sc.)
  • Empirical Analysis of URLLC in 5G Networks under Packet Duplication (B.Sc.)
  • Analysis of a Novel Decoder for Reed-Muller Codes (B.Sc.)
  • Analysis of Product and Staircase Codes for Communications over Erasure Channels (B.Sc.)
  • Receiver Optimization for Fiber-Optical Communications using Neural Networks (B.Sc.)
  • Design and Analysis of Receiver Algorithms based on Deep Neural Networks for Optical Fibre Communications (M.Sc.)
  • Analysis of Non-Linear Behaviour in Fiber-Optical Transmission Systems (B.Sc.)
  • Real-Time Capable Implementation of Channel Diagonalization for a MIMO Transceiver (B.Sc.)
  • Compensation of Nonlinearities in Complex Multicarrier Systems using Neural Networks (M.Sc.)
  • Polarization of Reed-Muller Codes (M.Sc.)
  • Analysis and Implementation of Orthogonal Time Frequency Space Modulation (M.Sc.)
  • Non-Binary Low-Density Parity-Check Codes (M.Sc.)
  • Analysis and Processing of PCI Express Signals (B.Sc.)
  • End-to-End Optimization of MIMO Systems using Autoencoders based on Deep Learning (M.Sc.)
  • Evaluation of Machine Learning and Deep Neural Networks for Cognitive Radio Interweave Systems (M.Sc.)
  • Influence of Non-Linearities on FBMC Transmissions (B.Sc.)