Stochastic geometry-based modeling of electromagnetic field with imperfect beam alignment

Installing more base stations can enhance the cov- erage and throughput of the cellular networks, but increasing the electromagnetic field (EMF) exposure in a communication area that brings fear to the community regarding the possible health impacts. This paper presents a stochastic geometry...

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Main Authors: Muhammad, Nor Aishah, Radzwan, Nur Aiyani, Seman, Norhudah, Saris, Nur Najahatul Huda, Anwar Apandi, Nur Ilyana, Daud, Nurul Ashikin
Format: Conference or Workshop Item
Language:en
Published: 2024
Online Access:http://eprints.utem.edu.my/id/eprint/29014/1/Stochastic%20Geometry-Based%20Modeling%20of%20Electromagnetic%20Field%20with%20Imperfect%20Beam%20Alignment.pdf
http://eprints.utem.edu.my/id/eprint/29014/
https://ieeexplore.ieee.org/document/10877285
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author Muhammad, Nor Aishah
Radzwan, Nur Aiyani
Seman, Norhudah
Saris, Nur Najahatul Huda
Anwar Apandi, Nur Ilyana
Daud, Nurul Ashikin
author_facet Muhammad, Nor Aishah
Radzwan, Nur Aiyani
Seman, Norhudah
Saris, Nur Najahatul Huda
Anwar Apandi, Nur Ilyana
Daud, Nurul Ashikin
author_sort Muhammad, Nor Aishah
building UTEM Library
collection Institutional Repository
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
continent Asia
country Malaysia
description Installing more base stations can enhance the cov- erage and throughput of the cellular networks, but increasing the electromagnetic field (EMF) exposure in a communication area that brings fear to the community regarding the possible health impacts. This paper presents a stochastic geometry- based mathematical model for assessing the EMF exposure from millimeter wave (MMW) base stations by incorporating the Gaussian antenna model from the 3rd Generation Partnership Project (3GPP). Then, the impact of beam alignment of the antenna model is investigated for various base station intensities and blockage parameters. Analytical results are compared with the simulation results obtained from MATLAB to validate the analysis. The results show that the incident power density (IPD) coverage probability increases with the increasing intensity of MMW BSs. The gap between analytical and simulation results increases with the standard deviation of the Gaussian beam alignment, demonstrating that the developed analytical results can provide a tractable evaluation of EMF exposure for network planning while guaranteeing a certain degree of accuracy.
format Conference or Workshop Item
id my.utem.eprints-29014
institution Universiti Teknikal Malaysia Melaka
language en
publishDate 2024
record_format eprints
spelling my.utem.eprints-290142025-10-02T08:30:57Z http://eprints.utem.edu.my/id/eprint/29014/ Stochastic geometry-based modeling of electromagnetic field with imperfect beam alignment Muhammad, Nor Aishah Radzwan, Nur Aiyani Seman, Norhudah Saris, Nur Najahatul Huda Anwar Apandi, Nur Ilyana Daud, Nurul Ashikin Installing more base stations can enhance the cov- erage and throughput of the cellular networks, but increasing the electromagnetic field (EMF) exposure in a communication area that brings fear to the community regarding the possible health impacts. This paper presents a stochastic geometry- based mathematical model for assessing the EMF exposure from millimeter wave (MMW) base stations by incorporating the Gaussian antenna model from the 3rd Generation Partnership Project (3GPP). Then, the impact of beam alignment of the antenna model is investigated for various base station intensities and blockage parameters. Analytical results are compared with the simulation results obtained from MATLAB to validate the analysis. The results show that the incident power density (IPD) coverage probability increases with the increasing intensity of MMW BSs. The gap between analytical and simulation results increases with the standard deviation of the Gaussian beam alignment, demonstrating that the developed analytical results can provide a tractable evaluation of EMF exposure for network planning while guaranteeing a certain degree of accuracy. 2024 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/29014/1/Stochastic%20Geometry-Based%20Modeling%20of%20Electromagnetic%20Field%20with%20Imperfect%20Beam%20Alignment.pdf Muhammad, Nor Aishah and Radzwan, Nur Aiyani and Seman, Norhudah and Saris, Nur Najahatul Huda and Anwar Apandi, Nur Ilyana and Daud, Nurul Ashikin (2024) Stochastic geometry-based modeling of electromagnetic field with imperfect beam alignment. In: 2024 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE), 21-23 December 2024, Langkawi, Kedah, Malaysia. https://ieeexplore.ieee.org/document/10877285
spellingShingle Muhammad, Nor Aishah
Radzwan, Nur Aiyani
Seman, Norhudah
Saris, Nur Najahatul Huda
Anwar Apandi, Nur Ilyana
Daud, Nurul Ashikin
Stochastic geometry-based modeling of electromagnetic field with imperfect beam alignment
title Stochastic geometry-based modeling of electromagnetic field with imperfect beam alignment
title_full Stochastic geometry-based modeling of electromagnetic field with imperfect beam alignment
title_fullStr Stochastic geometry-based modeling of electromagnetic field with imperfect beam alignment
title_full_unstemmed Stochastic geometry-based modeling of electromagnetic field with imperfect beam alignment
title_short Stochastic geometry-based modeling of electromagnetic field with imperfect beam alignment
title_sort stochastic geometry-based modeling of electromagnetic field with imperfect beam alignment
url http://eprints.utem.edu.my/id/eprint/29014/1/Stochastic%20Geometry-Based%20Modeling%20of%20Electromagnetic%20Field%20with%20Imperfect%20Beam%20Alignment.pdf
http://eprints.utem.edu.my/id/eprint/29014/
https://ieeexplore.ieee.org/document/10877285
url_provider http://eprints.utem.edu.my/