Tutor: | Matthias Hummert |
Type of Thesis: | Project (MSc) |
date of end: | 04/2025 |
Student: | Julian Sündermann |
Status: | finished |
ANT-shelfmark: | |
Abstract: | Motivation Recent results show that the application of Transformer Neural Networks while exploiting code knowledge can outperform State of the Art Decoder. Therefore a deepdive into these types of decoders shall be done in this thesis to get a first understanding. Goal The goal of this project is to implement a Transformer neural network and perform a performance and complexity analysis for different codes. Requirements: In order to process this thesis, knowledge of the lectures Channel Coding, Advanced Channel Coding, Wireless Communications Technologies, Communication Technologies and programming skills in Python or Matlab are essential. |