Back to Search
Start Over
An Overview of Machine Learning Techniques for Radiowave Propagation Modeling.
- Source :
- IEEE Transactions on Antennas & Propagation; Jun2022, Vol. 70 Issue 6, p3970-3985, 16p
- Publication Year :
- 2022
-
Abstract
- We give an overview of recent developments in the modeling of radiowave propagation, based on machine learning (ML) algorithms. We identify the input and output specification and the architecture of the model as the main challenges associated with ML-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. [ABSTRACT FROM AUTHOR]
- Subjects :
- ARTIFICIAL intelligence
WIRELESS communications
MACHINE learning
Subjects
Details
- Language :
- English
- ISSN :
- 0018926X
- Volume :
- 70
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Antennas & Propagation
- Publication Type :
- Academic Journal
- Accession number :
- 157490483
- Full Text :
- https://doi.org/10.1109/TAP.2021.3098616