Channel aging is a troublesome aspect of Massive MIMO as it forces the base station to learn the characteristics of the channel over and over. This thesis investigates the behaviour of a rather uncomplicated environment under channel aging with the aim of contributing to a better understanding of this phenomenon for Industrial IoT. The theoretic models will be verified with geometry-based models that mimic as well as possible a real situation without requiring too much computational complexity. The setup that was meant to be used for the measurements (that were not carried out thanks to the Corona-situation) is used as an inspiration to create a realistic environment. As the simulations take place in two dimensions, some of those settings (e.g. the antenna spacing, the number of base station antennas) might turn out not to be the best choice.