Development of Radio Frequency radiation (RFR) prediction tool

A. F. Ismail, H. A. Mohd Ramli, N. I. Sidek, W. Hashim

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

In the recent years, microwave Base Stations (BS) are deployed closer and closer to houses and public buildings. The situation has become a reason for growing concerns to the general population. Scientists and researchers worldwide are indeed very concerned about the potential health risks associated with the increasing numbers of BS installation. Small adverse effects on health could have major public health implications. Radio Frequency (RF) is an abstract subject and is not easily understood by most people. The term 'radiation' itself projects fears and to some extent the term Radio Frequency Radiation (RFR), commonly referred as 'electromagnetic (EM) pollution' gives an impression that RFR is hazardous and can cause immediate health impacts. Thus there is a need to develop an RFR prediction tool, where its database contains not only data on BS locations, the service area maps and their respective frequency allocations, but also their implicit radiation levels. A simple prediction tool that is capable of estimating the RFR levels accurately can be rather useful, practical and facilitate the pre-processing measurement steps, especially when there are too many sites to be assessed simultaneously.

Original languageEnglish
Pages204-207
Number of pages4
DOIs
Publication statusPublished - 01 Dec 2012
Event18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012 - Jeju Island, Korea, Republic of
Duration: 15 Oct 201217 Oct 2012

Other

Other18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012
CountryKorea, Republic of
CityJeju Island
Period15/10/1217/10/12

Fingerprint

Radiation
Base stations
Health
Frequency allocation
Health risks
Public health
Pollution
Microwaves
Processing

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Cite this

Ismail, A. F., Mohd Ramli, H. A., Sidek, N. I., & Hashim, W. (2012). Development of Radio Frequency radiation (RFR) prediction tool. 204-207. Paper presented at 18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012, Jeju Island, Korea, Republic of. https://doi.org/10.1109/APCC.2012.6388131
Ismail, A. F. ; Mohd Ramli, H. A. ; Sidek, N. I. ; Hashim, W. / Development of Radio Frequency radiation (RFR) prediction tool. Paper presented at 18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012, Jeju Island, Korea, Republic of.4 p.
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Ismail, AF, Mohd Ramli, HA, Sidek, NI & Hashim, W 2012, 'Development of Radio Frequency radiation (RFR) prediction tool', Paper presented at 18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012, Jeju Island, Korea, Republic of, 15/10/12 - 17/10/12 pp. 204-207. https://doi.org/10.1109/APCC.2012.6388131

Development of Radio Frequency radiation (RFR) prediction tool. / Ismail, A. F.; Mohd Ramli, H. A.; Sidek, N. I.; Hashim, W.

2012. 204-207 Paper presented at 18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012, Jeju Island, Korea, Republic of.

Research output: Contribution to conferencePaper

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Ismail AF, Mohd Ramli HA, Sidek NI, Hashim W. Development of Radio Frequency radiation (RFR) prediction tool. 2012. Paper presented at 18th Asia-Pacific Conference on Communications: "Green and Smart Communications for IT Innovation", APCC 2012, Jeju Island, Korea, Republic of. https://doi.org/10.1109/APCC.2012.6388131