Motivation:

Multiple Input Multiple Output (MIMO) Systems are key enabler technolgies for advanced communication technologies like LTE or 5G. Therefore the efficient estimation of the corresponding channel matrices of MIMO systems is of great importance and should be further investigated using Machine Learning techniques.

Goal:

The aim of this thesis is to apply machine learning techniques for channel estimation in MIMO systems. Therefore already existing machine learning schemes should be applied to channel estimation and the performance should be evaluated and compared to baseline schemes.

Requirements:

In order to process this thesis, knowledge of the lectures Wireless Communications Technologies, Advanced Topics in Digital Communications and programming skills in Python or Matlab are essential.