Neural modeling of in-vehicle wireless channels: Wave propagation along the vehicle body at 60 GHz

In the paper, we discuss an exploitation of artificial neural networks for modeling wireless channels inside a car. Neural models are based on feed-forward architecture and radial basis function architecture of neural networks. In the paper, we briefly explain the concept of experimental measurements of in-car channels. Then, we explain the process of creating and training a neural network. Finally, we discuss a neural model validation.