Mohamed, MarshedCheffena, MichaelMoldsvor, ArildFontán, Fernando Pérez2020-01-082020-01-082017-01-02M. Mohamed, M. Cheffena, A. Moldsvor, and F. P. Fontan, “Physical-statisticalchannel model for off-body area network,”IEEE Antennas and Wireless PropagationLetters, vol. 16, pp. 1516–1519, 20171548-5757http://hdl.handle.net/20.500.11810/5351In 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.enSignal to noise ratio , Interference , System performance , Resource management , Transmitting antennas , Capacity planningResearch Subject Categories::NATURAL SCIENCESResearch Subject Categories::TECHNOLOGYJournal Article, Peer Reviewed10.1109/LAWP.2016.2647323