Machine Learning Building Recognition for Capacity and RF Coverage

This paper describes a method of using Machine Learning (ML) to automatically recognize buildings from 2-d images and subsequently create 3-d objects for ray tracing and wireless system analyses. The accuracy of the building recognition by ML is assessed via the capacity of MIMO wireless systems in the resultant propagation environment.