Ultra-wideband real-time dynamic channel characterization and system-level modeling for radio links in body area networks
Reliable on-body wireless network design needs to incorporate the natural body movements. However, existing models are static or pseudo-dynamic models. In this work, the lack of a comprehensive channel model for a moving body is addressed. A dynamic radio channel around the human body is statistical...
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sg-ntu-dr.10356-1057602019-12-06T21:57:24Z Ultra-wideband real-time dynamic channel characterization and system-level modeling for radio links in body area networks Maskooki, Arash Soh, Cheong Boon Gunawan, Erry Low, Kay-Soon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Reliable on-body wireless network design needs to incorporate the natural body movements. However, existing models are static or pseudo-dynamic models. In this work, the lack of a comprehensive channel model for a moving body is addressed. A dynamic radio channel around the human body is statistically analyzed and modeled. Important parameters of the channel are estimated from measured data and compared with the model prediction. Simulations show that the model can predict the parameters of a system working in a dynamic body area network with 92% accuracy. 2013-11-29T07:10:50Z 2019-12-06T21:57:24Z 2013-11-29T07:10:50Z 2019-12-06T21:57:24Z 2013 2013 Journal Article Maskooki, A., Soh, C. B., Gunawan, E., & Low, K. S. (2013). Ultra-wideband real-time dynamic channel characterization and system-level modeling for radio links in body area networks. IEEE transactions on microwave theory and techniques, 61(8), 2995-3004. 0018-9480 https://hdl.handle.net/10356/105760 http://hdl.handle.net/10220/17951 http://dx.doi.org/10.1109/TMTT.2013.2271760 en IEEE transactions on microwave theory and techniques |
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DRNTU::Engineering::Electrical and electronic engineering Maskooki, Arash Soh, Cheong Boon Gunawan, Erry Low, Kay-Soon Ultra-wideband real-time dynamic channel characterization and system-level modeling for radio links in body area networks |
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Reliable on-body wireless network design needs to incorporate the natural body movements. However, existing models are static or pseudo-dynamic models. In this work, the lack of a comprehensive channel model for a moving body is addressed. A dynamic radio channel around the human body is statistically analyzed and modeled. Important parameters of the channel are estimated from measured data and compared with the model prediction. Simulations show that the model can predict the parameters of a system working in a dynamic body area network with 92% accuracy. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Maskooki, Arash Soh, Cheong Boon Gunawan, Erry Low, Kay-Soon |
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Article |
author |
Maskooki, Arash Soh, Cheong Boon Gunawan, Erry Low, Kay-Soon |
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Maskooki, Arash |
title |
Ultra-wideband real-time dynamic channel characterization and system-level modeling for radio links in body area networks |
title_short |
Ultra-wideband real-time dynamic channel characterization and system-level modeling for radio links in body area networks |
title_full |
Ultra-wideband real-time dynamic channel characterization and system-level modeling for radio links in body area networks |
title_fullStr |
Ultra-wideband real-time dynamic channel characterization and system-level modeling for radio links in body area networks |
title_full_unstemmed |
Ultra-wideband real-time dynamic channel characterization and system-level modeling for radio links in body area networks |
title_sort |
ultra-wideband real-time dynamic channel characterization and system-level modeling for radio links in body area networks |
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2013 |
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https://hdl.handle.net/10356/105760 http://hdl.handle.net/10220/17951 http://dx.doi.org/10.1109/TMTT.2013.2271760 |
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1681039746513502208 |