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Measurement-based characterizations of on-body channel in the human walking scenario

Conference Paper


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Abstract


  • In Wireless Body Area Networks (WBANs), on-body

    channels undergo temporal variations predominantly because of

    the body motion and shadowing of tissue. This paper focuses on

    a common human activity, walking, to explore the characteristics

    of the dynamic on-body propagation channel. A customized

    portable wireless sounder is built and utilized to collect the

    original on-body channel data both for the indoor and outdoor

    environments. We focus on exploring the second-order statistics

    of the channel gain variation during walking, including the

    temporal autocorrelation, the cross-correlation and the channel

    gain discrepancy between the two correlated links. This channel

    characterization facilitates more efficient designs and evaluations

    of WBAN systems, including more efficient network resource

    allocation and more efficient deployment of cooperative communication.

Publication Date


  • 2017

Citation


  • H. Zhang, F. Safaei & L. Tran, "Measurement-based characterizations of on-body channel in the human walking scenario," in 85th IEEE Vehicular Technology Conference (VTC2017-Spring), 2017, pp. 1-5.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1858&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/856

Start Page


  • 1

End Page


  • 5

Place Of Publication


  • New York, United States

Abstract


  • In Wireless Body Area Networks (WBANs), on-body

    channels undergo temporal variations predominantly because of

    the body motion and shadowing of tissue. This paper focuses on

    a common human activity, walking, to explore the characteristics

    of the dynamic on-body propagation channel. A customized

    portable wireless sounder is built and utilized to collect the

    original on-body channel data both for the indoor and outdoor

    environments. We focus on exploring the second-order statistics

    of the channel gain variation during walking, including the

    temporal autocorrelation, the cross-correlation and the channel

    gain discrepancy between the two correlated links. This channel

    characterization facilitates more efficient designs and evaluations

    of WBAN systems, including more efficient network resource

    allocation and more efficient deployment of cooperative communication.

Publication Date


  • 2017

Citation


  • H. Zhang, F. Safaei & L. Tran, "Measurement-based characterizations of on-body channel in the human walking scenario," in 85th IEEE Vehicular Technology Conference (VTC2017-Spring), 2017, pp. 1-5.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1858&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/856

Start Page


  • 1

End Page


  • 5

Place Of Publication


  • New York, United States