Quantum mechanics

Wave propagation

Telecommunications

Computer science

Radio propagation

Physics

Optics

Radio propagation model

Artificial intelligence

Emphasis (telecommunications)

Machine learning

IEEE Transactions on Antennas and Propagation

We give an overview of recent developments in the modeling of radiowave propagation, based on machine learning algorithms. We identify the input and output specification and the architecture of the model as the main challenges associated with machine learning-driven propagation models. Relevant papers are discussed and categorized based on their approach to each of these challenges. Emphasis is given on presenting the prospects and open problems in this promising and rapidly evolving area.

An Overview of Machine Learning Techniques for Radiowave Propagation Modeling