Physical-Statistical Channel Model for Off-Body Area Network

In this letter, a physical-statistical-based channel model for off-body wireless communications is presented. The model utilizes a dynamic human walking model, which provides detailed description of the movement of the different body parts. The received signal is composed of a direct component, whic...

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Bibliographic Details
Published inIEEE antennas and wireless propagation letters Vol. 16; pp. 1516 - 1519
Main Authors Mohamed, Marshed, Cheffena, Michael, Moldsvor, Arild, Fontan, Fernando P.
Format Journal Article
LanguageEnglish
Published IEEE 2017
Subjects
Antenna measurements
Channel models
Data models
Fading channels
indoor propagation
Legged locomotion
off-body communication
Receivers
Reflection
time-varying channels
wireless body area network (WBAN)
Wireless communication
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ISSN1536-1225
1548-5757
DOI10.1109/LAWP.2016.2647323

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Summary:In this letter, a physical-statistical-based channel model for off-body wireless communications is presented. The model utilizes a dynamic human walking model, which provides detailed description of the movement of the different body parts. The received signal is composed of a direct component, which might be subject to shadowing by the body parts, and a multipath component due to reflections from the environmental scatterers. The uniform theory of diffraction (UTD) is utilized to accurately calculate the time-varying shadowing and scattering effects of the direct signal due to the moving of body parts. A Rayleigh distribution is used to represent the multipath fading effects by the scatterers around the human body. The model is validated in terms of first- and second-order statistics using 2.36 GHz measurement data, showing good agreement.
ISSN:1536-1225
1548-5757
DOI:10.1109/LAWP.2016.2647323