Literature DB >> 21960463

Influence of traffic variations on exposure to wireless signals in realistic environments.

Zaher Mahfouz1, Azeddine Gati, David Lautru, Man-Fai Wong, Joe Wiart, Victor Fouad Hanna.   

Abstract

In this article, the general public daily exposure to broadcast signals and Global System for Mobile Communications (GSM) or Universal Mobile Telecommunications System (UMTS) mobile telephone signals in indoor areas is investigated. Temporal variations and traffic distributions during a day at different indoor sites in urban and rural zones are presented. The goal is to analyze the real exposure compared to the maximum assessment imposed by radio protection standards and to characterize the ratio between daily and maximum theoretical values. Hence, a realistic maximum is proposed based on the statistical analysis performed using measurements. Broadcast signals remain constant over the day so they are best fitted with a Normal distribution while the mobile telephone signals depend on the traffic demand during the day so they fit a three-Gaussian distribution model. A general mask is also constructed for underlining the maximum equivalent active traffic for different periods in the day. Also, relations between the mean values over 24 h, the realistic maximal values (at 99%) and the maximal theoretical values are presented. The realistic maximum is also presented with a sliding time average of 6 min applied to the measurements in accordance with international standards. An extrapolation factor is given for the different systems to easily assess the maximum values starting from an instantaneous measurement. The extrapolation factor is also given for a broadband measurement to estimate the maximum potential exposure during the day.
Copyright © 2011 Wiley Periodicals, Inc.

Entities:  

Keywords:  electromagnetic field; exposure; radiofrequency; statistics

Mesh:

Year:  2011        PMID: 21960463     DOI: 10.1002/bem.20705

Source DB:  PubMed          Journal:  Bioelectromagnetics        ISSN: 0197-8462            Impact factor:   2.010


  1 in total

1.  National surveys of radiofrequency field strengths from radio base stations in Africa.

Authors:  Ken H Joyner; Marthinus J Van Wyk; Jack T Rowley
Journal:  Radiat Prot Dosimetry       Date:  2013-09-17       Impact factor: 0.972

  1 in total

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