Efficient EMF Measurement and Assessment of the Exposure Index
To design a dosimeter that provides ‘in situ’ and real time measurements of the EMF over the whole LEXNET frequency band.
To assess the impact of the body vicinity on the wearable dosimeter EMF measurements and to propose correction schemes.
To develop a methodology for the assessment of the EMF EI.
The work package is divided into two sub-tasks. The first task is related to the development of the LEXNET dosimeter. The first step was to identify the existing measurement tools and the state of the art regarding the ‘in situ’ EMF measurements. After that, a new architecture was proposed to overcome the challenges identified in the LEXNET frame of work. A detailed analysis of the proposed design was carried out and all sub-components were identified. Each sub-component of the LEXNET dosimeter architecture was then evaluated and tested and the working principal validated through controlled measurements. In parallel, an exhaustive study was carried out using simulations and measurements to evaluate the impact of human body and network parameter variations on the dosimeter measurements.
The second task consisted of identifying all the available data from measurement tools, simulations tools, and statistical inputs regarding usage of different telecommunication devices. After that a comprehensive flow-chart scheme would be identified to compute the EI (defined in WP2).
The technical specifications of the LEXNET dosimeter were identified based on challenges identified in the project proposal and improvements regarding the state of the art were highlighted. A detailed analysis was done and specifications for each sub-component were outlined and the corresponding components were identified. Each component was individually characterized and validated as a first step and then the main blocks were assembled and the working principle of the dosimeter was validated using simple measurements in a controlled environment. The mechanical structure of the dosimeter was also addressed. The impact of the human body on the dosimeter measurements were quantified using simulations and exhaustive measurement campaigns (both in controlled and real environment scenarios). Three correction schemes were proposed in order to take into account the human body impact. The network variations over daily / weekly periods were recorded and statistical data was produced.
Regarding the EI methodology, detailed flow-chart scheme were proposed referring to selected scenarios regarding available data constraints. A detailed methodology was developed in order to estimate the EI.
A new and flexible dosimeter architecture was proposed and the measurement results from individual blocks validated the working principal. Correction schemes for calibrating the impact of human body on dosimeter measurements were proposed. Network variations were quantified in different scenarios. EI estimation methodology was developed for several reference scenarios.
The LEXNET dosimeter could be used to evaluate the daily exposure for a particular user in his/her particular environment over a daily basis and help to quantify and map the downlink exposure with good precision. The statistical data from network measurements could be used to answer some public concerns regarding their exposure variations in some reference scenarios.