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.
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 language | English |
|---|---|
| Article number | 3491340 |
| Pages (from-to) | 163492 - 163506 |
| Number of pages | 15 |
| Journal | IEEE Access |
| Volume | 12 |
| Early online date | 4 Nov 2024 |
| DOIs | |
| Publication status | Published (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
Fingerprint
Dive into the research topics of 'Modeling RF-EMF at Sports Events: User Density Impact'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver