Statistical characterization of the 400 MHz in-body propagation channel in in-door environments

Yihuai Yang*, Gengfa Fang, Eryk Dutkiewicz, Dongya Shen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

2 Citations (Scopus)

Abstract

Channel modeling is the starting point of effective, efficient body-centric communications. Many efforts [2]-[6] have been made to characterize the on-body area propagation channel in static scenarios at various frequency bands in an anechoic chamber. This paper presents an experimental investigation into the in-body channel in 400 MHz MICS Band. By taking into account the joint effect of human movement and multipath effects, the measurements have been conducted in a populated office at very short distances. The dynamic channel behaviour has been captured and based on the statistical analyses of fading duration, a six-state Semi-markov model that considers both Line of Sight (LOS) and Non Line of Sight (NLOS) cases is proposed. Parameters of the Semi-markov model are estimated from the measured data. The validity of this model is confirmed by comparison of the first order and second order statistics of the proposed model with the measured data.

Original languageEnglish
Title of host publication2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages48-53
Number of pages6
ISBN (Electronic)9781467311571, 9781467311557
ISBN (Print)9781467311564
DOIs
Publication statusPublished - 13 Dec 2012
Event2012 International Symposium on Communications and Information Technologies, ISCIT 2012 - Gold Coast, QLD, Australia
Duration: 2 Oct 20125 Oct 2012

Other

Other2012 International Symposium on Communications and Information Technologies, ISCIT 2012
Country/TerritoryAustralia
CityGold Coast, QLD
Period2/10/125/10/12

Keywords

  • Medical Body Area Network (MBAN)
  • channel model
  • Markov model
  • no-body

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