Statistical modeling of intra-body propagation channel

Jordi Agud Ruiz, Shigeru Shimamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

Intra-body communications based on near-field radio signals is a short range communication solution suitable for Body Area Networks wherein the human body is used as the transmission medium. This paper proposes a statistical model for the intra-body propagation channel based on experimental data of the human body transmission characteristics. The channel models are presented over three measurements configurations with several transmitter and receiver locations and considering two common scenarios: the human body not moving and walking. We define the statistical models in terms of most fitting probability density function to the experimental data of the received signal power among 15 families of probability distributions. These general models should be useful for simulating propagation effects in the laboratory and, therefore, we believe that these models will play a significant role in the design and evaluation of intra-body communication systems.

Original languageEnglish
Title of host publication2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
Pages2065-2070
Number of pages6
DOIs
Publication statusPublished - 2007 Nov 27
Event2007 IEEE Wireless Communications and Networking Conference, WCNC 2007 - Kowloon, China
Duration: 2007 Mar 112007 Mar 15

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

Conference2007 IEEE Wireless Communications and Networking Conference, WCNC 2007
CountryChina
CityKowloon
Period07/3/1107/3/15

Keywords

  • Body area networks
  • Body transmission characteristics
  • Intra-body propagation channel
  • Probability density functions
  • Statistical model

ASJC Scopus subject areas

  • Engineering(all)

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