Monte-Carlo Method for EMF Exposure Distribution Assessment in 5G Base Station

,
2022
Conference paper

This paper proposes a studied case to assess the EMF (electromagnetic field) exposure distribution for a specific deployment scenario. This developed novel approach based on a Monte-Carlo (MC) approach took into account the non-uniform user distribution and its corresponding projection to provide a realistic EMF exposure assessment for a particular coverage area of the 5G base station. A suburban area with relatively complex user distribution was selected to study the exposure distribution by the proposed method. The simulated results derived by the MC method show that considering the user distribution will reduce the user-related E-field exposure distribution under the given configuration by more than one half when compared to the traditional conservative deterministic approach. Moreover, the MC method demonstrates a more detailed exposure distribution feature corresponding to the specific active user distribution. It presents a reliable basis for power control when considering the trade-off between exposure evaluation and service quality.

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,
2022
Conference paper

Abstract

Official source

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Related concepts (3)

Electromagnetic field

An electromagnetic field (also EM field or EMF) is a classical (i.e. non-quantum) field produced by moving electric charges. It is the field described by classical electrodynamics (a classical field theory) and is the classical counterpart to the quantized electromagnetic field tensor in quantum electrodynamics (a quantum field theory). The electromagnetic field propagates at the speed of light (in fact, this field can be identified as light) and interacts with charges and currents.

Monte Carlo method

Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle. They are often used in physical and mathematical problems and are most useful when it is difficult or impossible to use other approaches. Monte Carlo methods are mainly used in three problem classes: optimization, numerical integration, and generating draws from a probability distribution.

Linux distribution

A Linux distribution (often abbreviated as distro) is an operating system made from a software collection that includes the Linux kernel, and often a package management system. Linux users usually obtain their operating system by downloading one of the Linux distributions, which are available for a wide variety of systems ranging from embedded devices (for example, OpenWrt) and personal computers (for example, Linux Mint) to powerful supercomputers (for example, Rocks Cluster Distribution).