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Physical-Statistical Channel Model for Off-body Area Network

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dc.creator Mohamed, Marshed
dc.creator Cheffena, Michael
dc.creator Moldsvor, Arild
dc.creator Fontán, Fernando Pérez
dc.date 2020-01-08T10:20:55Z
dc.date 2020-01-08T10:20:55Z
dc.date 2017-01-02
dc.date.accessioned 2021-05-03T13:17:01Z
dc.date.available 2021-05-03T13:17:01Z
dc.identifier M. 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, 2017
dc.identifier 1548-5757
dc.identifier http://hdl.handle.net/20.500.11810/5351
dc.identifier 10.1109/LAWP.2016.2647323
dc.identifier.uri http://hdl.handle.net/20.500.11810/5351
dc.description 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.
dc.language en
dc.publisher IEEE
dc.relation IEEE Antennas and Wireless Propagation Letters;16
dc.subject Signal to noise ratio , Interference , System performance , Resource management , Transmitting antennas , Capacity planning
dc.subject Research Subject Categories::NATURAL SCIENCES
dc.subject Research Subject Categories::TECHNOLOGY
dc.title Physical-Statistical Channel Model for Off-body Area Network
dc.type Journal Article, Peer Reviewed


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