Evaluation of Radio Wave Exposure of the Human Head at Multiple Frequencies of Up to 6 GHz

Mobile communication devices have become widely used in various situations in our daily lives. Not only are our opportunities for exposure to radio waves increasing, but the exposure environment is also changing owing to developments in telecommunications technology. Conventional studies on radio wave exposure evaluation have focused on only a single frequency, and only a few studies have considered radio wave exposure at multiple frequencies, including the frequencies used in fifth-generation (5G) mobile communications. In this study, specific absorption rate (SAR) evaluations were conducted assuming the exposure of the human body to radio waves with multiple frequency components. To simulate the actual use of a smartphone, analytical models were created using a smartphone model as the electromagnetic wave source and a numerical human body model as the exposure target. In the case of multiple frequencies, SAR was calculated for each frequency component, and SARs were summed. In addition, by changing the power ratio of each frequency component to the total radiated power, the distribution of SAR and the shift in the peak spatial SAR<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ _{\text{10g}}$</tex-math></inline-formula> (psSAR<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ _{\text{10g}}$</tex-math></inline-formula>) were investigated. As a result, it was confirmed that the SAR distribution changes with the power ratio of each frequency component in the radio wave. In the case of radio waves with multiple frequency components, no specific power ratios were found to cause a significant increase in psSAR<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ _{\text{10g}}$</tex-math></inline-formula>.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Electromagnetic Compatibility
Published
2025-04-21
DOI
https://doi.org/10.1109/temc.2025.3554689
Citations
1
Primary Topic
Electromagnetic Fields and Biological Effects
Type
article
Field-Weighted Citation Impact
1.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of Radio Wave Exposure of the Human Head at Multiple Frequencies of Up to 6 GHz

Kazuyuki Saito, Masaharu Takahashi, Keisuke Kimura, Tomoaki Nagaoka
1 citations
IEEE Transactions on Electromagnetic Compatibility
Electromagnetic Fields and Biological Effects
1.63
article

Evaluation of Radio Wave Exposure of the Human Head at Multiple Frequencies of Up to 6 GHz

Kazuyuki Saito, Masaharu Takahashi, Keisuke Kimura, Tomoaki Nagaoka
article en
1 citations

Abstract

Mobile communication devices have become widely used in various situations in our daily lives. Not only are our opportunities for exposure to radio waves increasing, but the exposure environment is also changing owing to developments in telecommunications technology. Conventional studies on radio wave exposure evaluation have focused on only a single frequency, and only a few studies have considered radio wave exposure at multiple frequencies, including the frequencies used in fifth-generation (5G) mobile communications. In this study, specific absorption rate (SAR) evaluations were conducted assuming the exposure of the human body to radio waves with multiple frequency components. To simulate the actual use of a smartphone, analytical models were created using a smartphone model as the electromagnetic wave source and a numerical human body model as the exposure target. In the case of multiple frequencies, SAR was calculated for each frequency component, and SARs were summed. In addition, by changing the power ratio of each frequency component to the total radiated power, the distribution of SAR and the shift in the peak spatial SAR<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ _{\text{10g}}$</tex-math></inline-formula> (psSAR<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ _{\text{10g}}$</tex-math></inline-formula>) were investigated. As a result, it was confirmed that the SAR distribution changes with the power ratio of each frequency component in the radio wave. In the case of radio waves with multiple frequency components, no specific power ratios were found to cause a significant increase in psSAR<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ _{\text{10g}}$</tex-math></inline-formula>.

IEEE Transactions on Electromagnetic CompatibilityVol. 67(3)
Chiba University (JP), National Institute of Information and Communications Technology (JP)
Openalex Percentile: Top 15%
Electromagnetic Fields and Biological Effects
1.63
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.