Balancing Prediction Accuracy and Explanation Power of Path Loss Modeling in a University Campus Environment via Explainable AI

Balancing Prediction Accuracy and Explanation Power of Path Loss Modeling in a University Campus Environment via Explainable AI

For efficient radio network planning, empirical path loss (PL) prediction models are utilized to predict signal attenuation in different environments. Alternatively, machine learning (ML) models are proposed to predict path loss. While empirical models are transparent and require less computational...

Full description

Saved in:
Bibliographic Details
Main Authors: Hamed Khalili, Hannes Frey, Maria A. Wimmer
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Future Internet
Subjects:
path loss
radio propagation
wireless channel
comparative analysis of machine learning methods
explainable artificial intelligence
Online Access:https://www.mdpi.com/1999-5903/17/4/155
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/1999-5903/17/4/155

Similar Items