ML Algorithms Analysis and Prediction of Broadband Electric Field Levels in Telecommunication Systems Environment

Doruntinë Berisha (), Arjeta Jerliu () and Mimoza Ibrani ()
Additional contact information
Doruntinë Berisha: University of Prishtina
Arjeta Jerliu: University of Prishtina
Mimoza Ibrani: University of Prishtina

Telecommunication Systems: Modelling, Analysis, Design and Management, 2025, vol. 88, issue 3, No 2, 14 pages

Abstract: Abstract This study investigates artificial intelligence neural networks to analyze and predict sub-3 GHz electric field exposure levels. The research encompasses a diverse set of environments including urban areas, residential zones, public transportation settings, and office spaces, which collectively represent realistic exposure environments for radio frequency electromagnetic field emissions. Empirical data, acquired from multiple urban and indoor settings, underpin the development of predictive models. The predictive models are developed using artificial neural network methodologies, specifically the Generalized Regression Neural Network and Radial Basis Function Neural Network. The study presents a detailed assessment of the simulation results, highlighting the effectiveness of these artificial neural network-based approaches in predicting electric field levels across varied environmental conditions. While optimized for broadband exposure, the models may not generalize to millimeter-wave frequencies, which behave differently in terms of propagation and penetration. The findings emphasize the potential of Generalized Regression and Radial Basis Function neural networks for accurate and reliable prediction of radio frequency electromagnetic field levels.

Keywords: Machine learning; Neural networks; Electric field; Grnn; Rbfnn (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11235-025-01314-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:telsys:v:88:y:2025:i:3:d:10.1007_s11235-025-01314-x

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/11235

DOI: 10.1007/s11235-025-01314-x

Access Statistics for this article

Telecommunication Systems: Modelling, Analysis, Design and Management is currently edited by Muhammad Khan

More articles in Telecommunication Systems: Modelling, Analysis, Design and Management from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().