Modeling RF-EMF at Sports Events: User Density Impact

Begum Korunur Engiz, Cetin Kurnaz, Adnan Ahmad Cheema, Masood Ur Rehman

Research output: Contribution to journalArticlepeer-review

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Abstract

To address the needs of tomorrow, Future Wireless Networks (FWNs) like 6G are anticipated to
integrate terrestrial and non-terrestrial networks. Intelligent network coordination across several frequency
bands, radio technologies, and end-user requirements are critical factors which will determine the
success of such networks. However, there is a widespread concern about the growth in Radio Frequency
Electromagnetic Fields (RF-EMF) exposure levels for end users from FWNs. It is critical to identify RF-EMF
exposure levels and provide a framework for monitoring, managing, and optimization of RF-EMF levels.
This study performs extensive band-selective RF-EMF measurements at two sporting events (a football and
basketball match) in sub-6 GHz band. The data is collected every 6 seconds before and during the sporting
events from different radio technologies using EME SPY evolution device. We provide a comprehensive
analysis to understand exposure levels, contributions from different radio technologies and variations of total
exposure levels over the sub-6 GHz band. In addition, RF-EMF levels are modelled using various statistical
distributions and evaluated using the Anderson-Darling test. It is found that exposure levels increase in the
range of 1.35-1.93 times compare to non-match day and Burr distribution provides the best fit to model
RF-EMF exposure levels in both sporting events.
Original languageEnglish
Article number3491340
Pages (from-to)163492 - 163506
Number of pages15
JournalIEEE Access
Volume12
Early online date4 Nov 2024
DOIs
Publication statusPublished (in print/issue) - 4 Nov 2024

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

  • Radiofrequency electromagnetic fields
  • Personal exposure levels
  • Exposure assessment
  • Anderson-Darling test
  • Burr distribution
  • exposure assessment
  • personnel exposure levels

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