Indoor positioning with AI/ML using simulated 5G data
With future technologies and Industry 4.0, the need for robust and accurate positioning to optimize productivity and industrial operations increases. The previous positioning methods using triangulation or angle-of-arrival are not good enough, especially not for clutter-dense factories with poor line-of-sight conditions. For this thesis project, a convolutional neural network model was trained t
