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Semi-empirical model of global exposure using stochastic geometry

Authors :
Gontier, Quentin
Petrillo, Luca
Rottenberg, François
Horlin, François
Wiart, Joe JW
Oestges, Claude
De Doncker, Philippe
Gontier, Quentin
Petrillo, Luca
Rottenberg, François
Horlin, François
Wiart, Joe JW
Oestges, Claude
De Doncker, Philippe
Source :
In: Proc. of the IEEE International Conference on Communications (ICC)
Publication Year :
2021

Abstract

Exposure to electromagnetic fields due to cellularnetworks in an urban environment is studied using stochasticgeometry. We describe a simple but functional and realisticsemi-empirical model based on the modeling of base stationpatterns as Poisson Point Processes and applied to two Brusselsmunicipalities. Using this model, a study of the impact of basestation densification is performed according to two theoreticalscenarios. From simple assumptions, it is concluded that globalexposure is expected to remain approximately constant in thecase of intelligent network evolution involving the densificationof macro cells and the addition of a network of low-power smallcells.<br />info:eu-repo/semantics/published

Details

Database :
OAIster
Journal :
In: Proc. of the IEEE International Conference on Communications (ICC)
Notes :
1 full-text file(s): application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1281594136
Document Type :
Electronic Resource