Meta Distribution of Passive Electromagnetic Field Exposure in Cellular Networks

TL;DR

This paper develops a stochastic geometry framework to analyze the fine-grained distribution of electromagnetic field exposure for passive users in cellular networks with dynamic beamforming, using a beta distribution approximation.

Contribution

It introduces a multi-cosine antenna gain model and applies meta distribution analysis to quantify EMFE variability at the individual user level.

Findings

Meta distribution effectively characterizes EMFE variability.

Number of antennas significantly influences EMFE distribution.

Beta distribution provides a tractable approximation for analysis.

Abstract

This paper focuses on the meta distribution of electromagnetic field exposure (EMFE) experienced by a passive user in a cellular network implementing dynamic beamforming. The meta distribution serves as a valuable tool for extracting fine-grained insights into statistics of individual passive user EMFE across the network. A comprehensive stochastic geometry framework is established for this analysis. Given the pivotal role of accurately modeling the main and side lobes of antennas in this context, a multi-cosine gain model is introduced. The meta distribution is closely approximated by a beta distribution derived from its first- and second-order moments, which is demonstrated to be mathematically tractable. The impact of the number of antennas in the ULA on the meta distribution is explored, shedding light on its sensitivity to this parameter.