Semi-empirical Model of Global Exposure using Stochastic Geometry

Exposure to electromagnetic fields due to cellular networks in an urban environment is studied using stochastic geometry. We describe a simple but functional and realistic semi-empirical model based on the modeling of base station patterns as Poisson Point Processes and applied to two Brussels municipalities. Using this model, a study of the impact of base station densification is performed according to two theoretical scenarios. From simple assumptions, it is concluded that global exposure is expected to remain approximately constant in the case of intelligent network evolution involving the densification of macro cells and the addition of a network of low-power small cells.