Estimating Electric Field Distribution Generated by V2X Vehicular Communication in Urban Scenarios With Spatial Interpolation Techniques

This study assessed for the first time the feasibility of two interpolation techniques – o-kriging and co-kriging – to estimate the environmental electric field (E-field) in vehicle-to-everything communication at 5.9 GHz. Starting from few E-field values obtained in an urban area, we designed an analytical approach based on (co-)kriging to estimate E-field throughout the entire area accurately. We used <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">raytracing</i> to obtain E-field values used for training (12.5%) and validation. We evaluated our approach in four different vehicular scenarios with multiple transmitters (Txs) and obstacles (non-transmitting vehicles and busses). Co-kriging, besides the E-field values, also used <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Tx-Rx distance</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">vehicle density</i> as additional inputs. The performance of (co-)kriging, measured by Pearson correlation and residuals, showed an accuracy of 89% - 97%, depending on the number of Txs and obstacles. This approach reduced computational time by up to 87% compared to raytracing.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2025-05-29
DOI
https://doi.org/10.1109/tap.2025.3572608
Citations
1
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating Electric Field Distribution Generated by V2X Vehicular Communication in Urban Scenarios With Spatial Interpolation Techniques

Wout Joseph, Silvia Gallucci, Martina Benini, Gabriella Tognola et al.
1 citations
IEEE Transactions on Antennas and Propagation
Wireless Body Area Networks
0.67
article

Estimating Electric Field Distribution Generated by V2X Vehicular Communication in Urban Scenarios With Spatial Interpolation Techniques

Wout Joseph, Silvia Gallucci, Martina Benini, Gabriella Tognola, Marta Parazzini, Samuel Goegebeur
article en
1 citations

Abstract

This study assessed for the first time the feasibility of two interpolation techniques – o-kriging and co-kriging – to estimate the environmental electric field (E-field) in vehicle-to-everything communication at 5.9 GHz. Starting from few E-field values obtained in an urban area, we designed an analytical approach based on (co-)kriging to estimate E-field throughout the entire area accurately. We used <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">raytracing</i> to obtain E-field values used for training (12.5%) and validation. We evaluated our approach in four different vehicular scenarios with multiple transmitters (Txs) and obstacles (non-transmitting vehicles and busses). Co-kriging, besides the E-field values, also used <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Tx-Rx distance</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">vehicle density</i> as additional inputs. The performance of (co-)kriging, measured by Pearson correlation and residuals, showed an accuracy of 89% - 97%, depending on the number of Txs and obstacles. This approach reduced computational time by up to 87% compared to raytracing.

IEEE Transactions on Antennas and PropagationVol. 73(9)
Ghent University (BE), Institute of Electronics, Computer and Telecommunication Engineering (IT), Institute of Informatics and Telematics (IT), National Research Council (IT)
Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail
Sustainable cities and communities
Openalex Percentile: Top 31%
Wireless Body Area Networks
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.