Analiza prodrlog elektromagnetskog polja mobilnog telefona korišćenjem numeričkog modela dečije glave za različite mikrotalasne podopsege

Abstract

The research work presented here was aimed at obtaining the new results related to the calculation of penetrated electromagnetic field from a mobile phone and its spatial distribution inside a child’s head. Several numerical models were developed for the purpose of investigating the effects of mobile phone radiation. A comprehensive 3D numerical model was developed, which corresponds to the anatomical and morphological properties of a seven years-old child head by size and shape. An adult head model was created for the purpose of examining the different effects of electromagnetic radiation on children and adults. Also, in line with the trend of increased use of mobile phones for internet access and viewing/reading of the content on the device display, a child eye model with appropriate anatomical and morphological characteristics was developed to match such use. The source of electromagnetic radiation has been created to match the shape of a contemporary smart phone, and it contains the housing with a display and the antenna. The research involved a simulation of operational conditions of the phone at several different frequencies – both at currently used and at upcoming 5G network frequencies. For assumed level of device output power, high values of electric field intensity and specific absorption rate (SAR), exceeding the allowed reference levels and base limitations were found in some tissues/organs inside the child head model. Higher than allowed electric field and SAR levels were also found for millimetre wave frequency ranges but they are concentrated in narrow layers near the very surface of the model, whereby the exceeding SAR level is even more noticeable. Higher values of electric field intensity and SAR are present in the child head model to a greater extent compared to the adult head model, due to anatomical and geometrical differences between child and adult head models. The research also shows that the morphological properties of children’s tissues and organs influence the increase of SAR values.