The aim of this project and the challenge is to match different correlated type of data (frequency selective and broadband) performed at different location and different time to obtain an acceptable assessment of the RF EMF at any place any time. The mission is to analyse the statistical methods, fusion data and learning process.
Wireless telecommunication systems that are using Radio Frequency (RF) electromagnetic fields (EMF), are increasingly used. This increasing use of wireless communication system is accompanied by a risk perception. Despite this there is still a lack of knowledge in the characterization of the residential exposure, due to the complexity of the novel EMF sources, network configurations and usage. Such complexity will increase with the future billions of objects connected through the Internet of Things.
The characterization of the residential exposure has been investigated using measurement and simulation approaches.
Projects have been working on the RF EMF measurement at fixe positions (e.g LEXNET and Santander project) or using personal dosimeter on the RF EMF measurement where people bring the dosimeter. Up to now the existing measurement approaches allow at a given time and given location the RF EMF assessment and provide a mean value. Other projects have been working on the RF EMF assessment using simulations.
On the one hand the quality of the simulations depends on the quality of the environment model (e.g cities description) on the other hand the real power emitted by access points is often bypass using the theoretical maximum. The C2M Xemf-sense project, taking advantage of miniaturization compact, low cost, autonomous and broadband sensors have been designed to measure the RF-EMF. These sensors, wireless connected, can be implemented massively in cities, measure and transmit (to be stored) the broadband exposure few times per day.
On the other hand, few time a year comprehensive equipment (e.g. spectrum analysers and decoders) can be installed in automotive system to perform comprehensive measurement (spectral) along routes that have to be defined. The aims of the C2M Xemf-sense project is to use these data to reconstruct the residential EMF induced by outdoor base stations.
The challenge is to match different correlated type of data (frequency selective and broadband) performed at different location and different time to obtain an acceptable assessment of the RF EMF at any place any time.
(c) GdR 720 ISIS - CNRS - 2011-2018.