Machine Learning based Joint MIMO Equalization and Decoding

Tutor: Matthias Hummert
Type of Thesis: Master's thesis (MSc)
date of end: 02/2023
Student: Alveena Rifat
Status: finished

In this work, neural networks and deep learning were used to equalize and decode multiple input multiple output (MIMO) systems. The initial focus was on learning equalization using neural networks with a fixed decoder. Subsequently, the learned equalizer was fixed and an NN was trained to function as a decoder.

Last change on 23.02.2023 by M. Hummert
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