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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Association of Computer Science and Information Technology Press
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/35626/ http://irep.iium.edu.my/35626/1/izah_j.pdf |
| _version_ | 1848781085362618368 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T15:43:57Z |
| format | Article |
| id | iium-35626 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T15:43:57Z |
| publishDate | 2013 |
| publisher | International Association of Computer Science and Information Technology Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |
| 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 |
| title | 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_short | Predicting radio frequency radiation from mobile communication base stations |
| title_sort | predicting radio frequency radiation from mobile communication base stations |
| topic | TK5101 Telecommunication. Including telegraphy, radio, radar, television |
| 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 |