Downlink Electromagnetic Field Exposure Levels in Pre-5G and 5G Ultra-Dense Mobile Networks
- DOI
- 10.2991/978-94-6463-082-4_25How to use a DOI?
- Keywords
- 5G; EMF exposure; path loss models; urban macro site; urban micro site
- Abstract
5G new radio (NR) is a new radio access network technology that will enable ultra-high speed, ultra-high reliability and ultra-low latency mobile services. The deployment of 5G NR is actively ongoing now in many regions worldwide. Nevertheless, the public is still concerned about the electromagnetic field (EMF) exposure from 5G networks due to the potential health risk. The goal of this research is to investigate the EMF exposure from downlink transmission of ultra-dense 5G mobile networks. In particular, both urban macro (UMa) cell and urban micro (UMi) cell scenarios are considered in this study. The EMF exposure level is simulated by using several standard path loss propagation models such as the free space model, 3GPP model, alpha-beta-gamma model and close-in reference model in both line-of-sight and non-line-of-sight scenarios. Then, the EMF exposure from 5G network is compared to that of the LTE network. Some results on the safe distance between 5G base station and the user equipment to minimize health risk are also presented.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Nor Fazlin Mohd Nasir AU - Heng Siong Lim AU - Kah Seng Diong PY - 2022 DA - 2022/12/23 TI - Downlink Electromagnetic Field Exposure Levels in Pre-5G and 5G Ultra-Dense Mobile Networks BT - Proceedings of the Multimedia University Engineering Conference (MECON 2022) PB - Atlantis Press SP - 264 EP - 280 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-082-4_25 DO - 10.2991/978-94-6463-082-4_25 ID - Nasir2022 ER -