UPM Institutional Repository

Evaluation of RF-EMF exposure for sub-6GHz 5G NR massive MIMO base station


Citation

Sali, Aduwati and Wali, Sangin Qahtan and Osman, Anwar Faizd (2022) Evaluation of RF-EMF exposure for sub-6GHz 5G NR massive MIMO base station. In: 2022 IEEE 6th International Symposium on Telecommunication Technologies (ISTT), 14-16 Nov. 2022, Johor Bahru, Malaysia. (pp. 16-21).

Abstract

The 5G network is intended to accommodate a significant quantity of mobile data traffic and a great number of wireless connections. It improves cost and power consumption; it offers ultra-low latency and ultra-high dependability to enable new services in various sectors. However, the general public is concerned about the possible health dangers linked with 5G equipment's Radio Frequency (RF) radiation, and numerous localities are actively lobbying to prevent 5G implementation. This research measures the maximum exposure emitted by a 5G base station operating on 3.5 GHz. Considering the transmitted power changes over time with data traffic, the analysis is based on a code selective method. Measurements were conducted at two different distances and three different times to investigate the impacts of distance and time on the level of RF-EMF radiation. The maximum radiation from the base station is 11.69V/m, far less than the accepted limit by the ICNIRP standard.


Download File

Full text not available from this repository.
Official URL or Download Paper: https://ieeexplore.ieee.org/document/9966552

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/ISTT56288.2022.9966552
Publisher: IEEE
Keywords: 5G sub-6GHz; Massive MIMO; Radiofrequency electromagnetic fields (RF-EMF); Measurement
Depositing User: Ms. Nuraida Ibrahim
Date Deposited: 25 Dec 2023 12:20
Last Modified: 25 Dec 2023 12:20
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ISTT56288.2022.9966552
URI: http://psasir.upm.edu.my/id/eprint/44349
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item