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A Statistical Model for On-Body Dynamic Channels

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Abstract

In this paper we present a dynamic on-body channel model based on a time-variant measurement campaign at 2.45 GHz and in the 3–5 GHz band. Three different human body movements for seven human subjects were considered to assess the influence of human activity on the channel behavior, both in an anechoic chamber and an indoor scenario. Two Body Area Network (BAN) star topologies have been addressed. An analysis on mean channel gain, slow fading and shadowing correlation is presented with emphasis on the differences given by the human body variability and the movement condition.

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Acknowledgments

The authors are thankful to Mohamed Hachemi for his help in measurements. This work has been supported by the ANR French project BANET.

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Authors and Affiliations

  1. CEA, LETI, MINATEC 17 rue des Martyrs, 38054, Grenoble Cedex 9, France

    Raffaele D’Errico & Laurent Ouvry

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  1. Raffaele D’Errico
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  2. Laurent Ouvry
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Correspondence to Raffaele D’Errico.

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D’Errico, R., Ouvry, L. A Statistical Model for On-Body Dynamic Channels. Int J Wireless Inf Networks 17, 92–104 (2010). https://doi.org/10.1007/s10776-010-0122-0

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