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A measurements based comparison of new and classical models used to characterize fading in body area networks

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Abstract

In this paper we compare a number of the classical models used to characterize fading in body area networks (BANs) with the recently proposed shadowed κ-μ fading model. In particular, we focus on BAN channels which are considered to be susceptible to shadowing by the human body. The measurements considered in this study were conducted at 2.45 GHz for hypothetical BAN channels operating in both anechoic and highly reverberant environments while the person was moving. Compared to the Rice, Nakagami and lognormal fading models, it was found that the recently proposed shadowed κ-μ fading model provided an enhanced fit to the measured data.

Original languageEnglish
Title of host publicationConference Proceedings - 2014 IEEE MTT-S International Microwave Workshop Series on
Subtitle of host publicationRF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-Bio 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479954476
DOIs
Publication statusPublished - 5 Feb 2015
Externally publishedYes
Event2014 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-Bio 2014 - London, United Kingdom
Duration: 8 Dec 201410 Dec 2014

Publication series

NameConference Proceedings - 2014 IEEE MTT-S International Microwave Workshop Series on: RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-Bio 2014

Conference

Conference2014 IEEE MTT-S International Microwave Workshop Series on RF and Wireless Technologies for Biomedical and Healthcare Applications, IMWS-Bio 2014
Country/TerritoryUnited Kingdom
CityLondon
Period8/12/1410/12/14

Keywords

  • Body centric communications
  • channel characterization
  • on-body fading channels

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