Physical-Statistical Channel Model for Off-body Area Network
Journal article, Peer reviewed
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OriginalversjonIEEE Antennas and Wireless Propagation Letters. 2017, 16 (1), 1516-1519. 10.1109/LAWP.2016.2647323
Abstract: 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.