Measurements on Modern Wireless Communication Technologies and Estimation of Human Exposure

Dimitrios Stratakis, Andreas Miaoudakis, Evangelos Pallis, Traianos Yioultsis, Thomas Xenos, George Mastorakis, Constandinos X. Mavromoustakis

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The evolution of wireless networking technologies in recent years leads to a faster, safer and more efficient knowledge transfer with the demand of growing up the volume of information handled. The ultimate aim of improving the living standards of citizens, requires a new foundation to evaluate and improve the existing to the present relevant measurement techniques and possibly the introduction of new ones. Also, new wireless information propagation models have to be proposed in the future and the old models have to be evaluated and modified for their improvement. This will be achieved by conducting reliable measurements and experimental tests. A key element of such measurements is the estimation of the present uncertainty. In this context, the purpose of this chapter is to study how the electromagnetic fields generated by modern wireless communication base stations can be measured and evaluated in terms of exposure.

Original languageEnglish
Title of host publicationModeling and Optimization in Science and Technologies
PublisherSpringer Verlag
Pages115-130
Number of pages16
Volume3
DOIs
Publication statusPublished - 2014

Publication series

NameModeling and Optimization in Science and Technologies
Volume3
ISSN (Print)2196-7326
ISSN (Electronic)2196-7334

Keywords

  • Channel power method
  • electromagnetic field exposure
  • electromagnetic field measurements
  • reference levels
  • spectrum analyser

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    Stratakis, D., Miaoudakis, A., Pallis, E., Yioultsis, T., Xenos, T., Mastorakis, G., & Mavromoustakis, C. X. (2014). Measurements on Modern Wireless Communication Technologies and Estimation of Human Exposure. In Modeling and Optimization in Science and Technologies (Vol. 3, pp. 115-130). (Modeling and Optimization in Science and Technologies; Vol. 3). Springer Verlag. https://doi.org/10.1007/978-3-319-06704-9-5