2024
DOI: 10.1109/access.2024.3380835
|View full text |Cite
|
Sign up to set email alerts
|

Infinite Limits of Convolutional Neural Network for Urban Electromagnetic Field Exposure Reconstruction

Mohammed Mallik,
Benjamin Allaert,
Esteban Egea-Lopez
et al.

Abstract: Electromagnetic field exposure (EMF) has grown to be a critical concern as a consequence of the ongoing installation of fifth-generation cellular networks (5G). The lack of measurements makes it difficult to accurately assess the EMF in a specific urban area, as Spectrum cartography (SC) relies on a set of measurements recorded by spatially distributed sensors for the generation of exposure maps. However, when the spatial sampling rate is limited, significant estimation errors. To overcome this issue, the expo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
references
References 73 publications
0
0
0
Order By: Relevance