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Analysis of Dynamic Channel Characteristics Based on a Body Area Network

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Abstract

Human communication is a new method that uses human body biological tissue as the transmission medium for short-distance communication. Because static human communication characteristics have been studied more, this paper proposed and verified a dynamic human body communication channel model in the Human Body Communication band, and the dynamic channel characteristics of 35 kinds of human body continuous postures were analyzed. The results of using five typical communication links on the dynamic human body model show that the average power delay is following a second order exponential decay. The Akaike information criterion was used to determine the cumulative probability density function distribution of the first path delay, interval delay and delay spread. The channel characteristics of two-person standing side-by-side communication were studied to extend the application of human communication technology, and the two human models touch each other through their arms. The forward and backward motion of the noncontact arm along the human body surface has different effects on the path loss of the communication link with the chest as the transmitter and the arm as the transmitter. To evaluate the safety of human body communication technology on the human body, the frequency domain finite differential analysis method was used to analyze the distribution of the electromagnetic field. The absorption rate is the quantification of the electromagnetic energy absorbed by the human body, and the absorptivity of 35 postures demonstrated that human communication technology is not harmful to the human body.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 62001282, and in part by the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning under Grant QD2017043.

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Authors and Affiliations

  1. Shanghai University of Engineering Science, Shanghai, China

    Lingli Zhou, Wei Liao & Songyue Hou

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  1. Lingli Zhou
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  2. Wei Liao
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  3. Songyue Hou
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Contributions

LZ and WL conceived of the whole study, and participated in design and drafted the complete manuscript. SH gave valuable suggestions and constructive discussions and contributed to manuscript preparation. All authors read and approved the final manuscript.

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Correspondence to Wei Liao.

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Zhou, L., Liao, W. & Hou, S. Analysis of Dynamic Channel Characteristics Based on a Body Area Network. Wireless Pers Commun 122, 2905–2924 (2022). https://doi.org/10.1007/s11277-021-09035-5

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