Predicting radio frequency radiation from mobile communication base stations

While the spectrum growth is expected to increase exponentially in the future years to come, the imminent query would be as whether the current spectrum management process is capable of fulfilling all future requirements. Public interest in the potential health issues relating to cellular or mob...

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Main Authors: Ismail, Ahmad Fadzil, Sidek, Nurul Izzah, Abdullah, Khaizuran, Hashim, Wahidah
Format: Article
Language:English
Published: International Association of Computer Science and Information Technology Press 2013
Subjects:
Online Access:http://irep.iium.edu.my/35626/
http://irep.iium.edu.my/35626/
http://irep.iium.edu.my/35626/
http://irep.iium.edu.my/35626/1/izah_j.pdf
id iium-35626
recordtype eprints
spelling iium-356262014-07-16T07:19:41Z http://irep.iium.edu.my/35626/ Predicting radio frequency radiation from mobile communication base stations Ismail, Ahmad Fadzil Sidek, Nurul Izzah Abdullah, Khaizuran Hashim, Wahidah TK5101 Telecommunication. Including telegraphy, radio, radar, television While the spectrum growth is expected to increase exponentially in the future years to come, the imminent query would be as whether the current spectrum management process is capable of fulfilling all future requirements. Public interest in the potential health issues relating to cellular or mobile communication base station (BS) and other radio communication facilities emphasize the importance of having an accessible and easy to understand information on electromagnetic (EM) and radio frequency radiation (RFR) levels in the surrounding environment. The information is considered critical in order to assess the potential radiation level prior and during the roll-out of planned or future services such as the 4G, Terrestrial Trunked Radio (TETRA), Worldwide Interoperability for Microwave Access (WiMax), Local Multipoint Distribution Service (LMDS) and others. The paper outlines the attempts of developing a specialized software tool that can gauge the RFR concentration within a particular area. The tool encompasses; among many, the capability of facilitating as well as ensuring that the RFR monitoring activities and planning can be carried out efficiently and effectively. International Association of Computer Science and Information Technology Press 2013-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/35626/1/izah_j.pdf Ismail, Ahmad Fadzil and Sidek, Nurul Izzah and Abdullah, Khaizuran and Hashim, Wahidah (2013) Predicting radio frequency radiation from mobile communication base stations. International Journal of Computer and Communication Engineering, 2 (4). pp. 482-486. ISSN 2010-3743 http://www.ijcce.org/list-32-1.html 10.7763/IJCCE.2013.V2.231
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic TK5101 Telecommunication. Including telegraphy, radio, radar, television
spellingShingle TK5101 Telecommunication. Including telegraphy, radio, radar, television
Ismail, Ahmad Fadzil
Sidek, Nurul Izzah
Abdullah, Khaizuran
Hashim, Wahidah
Predicting radio frequency radiation from mobile communication base stations
description While the spectrum growth is expected to increase exponentially in the future years to come, the imminent query would be as whether the current spectrum management process is capable of fulfilling all future requirements. Public interest in the potential health issues relating to cellular or mobile communication base station (BS) and other radio communication facilities emphasize the importance of having an accessible and easy to understand information on electromagnetic (EM) and radio frequency radiation (RFR) levels in the surrounding environment. The information is considered critical in order to assess the potential radiation level prior and during the roll-out of planned or future services such as the 4G, Terrestrial Trunked Radio (TETRA), Worldwide Interoperability for Microwave Access (WiMax), Local Multipoint Distribution Service (LMDS) and others. The paper outlines the attempts of developing a specialized software tool that can gauge the RFR concentration within a particular area. The tool encompasses; among many, the capability of facilitating as well as ensuring that the RFR monitoring activities and planning can be carried out efficiently and effectively.
format Article
author Ismail, Ahmad Fadzil
Sidek, Nurul Izzah
Abdullah, Khaizuran
Hashim, Wahidah
author_facet Ismail, Ahmad Fadzil
Sidek, Nurul Izzah
Abdullah, Khaizuran
Hashim, Wahidah
author_sort Ismail, Ahmad Fadzil
title Predicting radio frequency radiation from mobile communication base stations
title_short Predicting radio frequency radiation from mobile communication base stations
title_full Predicting radio frequency radiation from mobile communication base stations
title_fullStr Predicting radio frequency radiation from mobile communication base stations
title_full_unstemmed Predicting radio frequency radiation from mobile communication base stations
title_sort predicting radio frequency radiation from mobile communication base stations
publisher International Association of Computer Science and Information Technology Press
publishDate 2013
url http://irep.iium.edu.my/35626/
http://irep.iium.edu.my/35626/
http://irep.iium.edu.my/35626/
http://irep.iium.edu.my/35626/1/izah_j.pdf
first_indexed 2023-09-18T20:51:03Z
last_indexed 2023-09-18T20:51:03Z
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