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 |
|