4.7 Article

Methodology for determining the threshold distance for estimating the main EM exposure contribution in WLAN

Publisher

ELSEVIER - DIVISION REED ELSEVIER INDIA PVT LTD
DOI: 10.1016/j.jestch.2021.05.001

Keywords

Electromagnetic exposure; Electromagnetic waves; WiFi 5 GHz; WLAN; Wireless Communications

Funding

  1. University of the Basque Country UPV/EHU [ESPDOC19/43]
  2. Spanish Ministry [RTI2018-099162-B-I00]
  3. Basque Government [IT1234-19]

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This paper presents a methodology to determine the threshold distance at which the field strength levels from WiFi access points are negligible compared to the radiation generated by user equipment. The theoretical concepts were implemented through simulations and experimental measurements using actual WiFi antennas. Results showed that the threshold distance depends on the WiFi standard employed by the connected devices.
The location of radiation sources in wireless networks is a key factor to characterize their contribution to electromagnetic exposure levels in order to deploy future networks that account for minimizing electromagnetic field levels. In relation to wireless local area networks, considering that mobile communication devices comply with the SAR (Specific Absorption Rate) limits imposed by the international standardization organizations for preserving human health, the interest is nowadays focused on the signal levels coming from the WiFi access points. This paper presents a methodology to determine the threshold distance at which the field strength levels from the AP are negligible in comparison with the radiation generated by a user equipment. The theoretical concepts, which can be applied to other technologies, were implemented by means of simulations and experimental measurements. For the simulations, actual WiFi antennas were modelled. Experimental measurements completed the results obtained in simulations, resulting in a greater number of real situations. Results showed that the threshold distance depends on the WiFi standard employed by the devices connected to the network. (c) 2021 Karabuk University. Publishing services by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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