| dc.creator |
Mohamed, Marshed |
|
| dc.creator |
Joseph, Wout |
|
| dc.creator |
Heat, Günter |
|
| dc.creator |
Tanghe, Emmeric |
|
| dc.creator |
Cheffena, Emmeric |
|
| dc.date |
2020-01-08T12:56:14Z |
|
| dc.date |
2020-01-08T12:56:14Z |
|
| dc.date |
2019-05-08 |
|
| dc.date.accessioned |
2021-05-03T13:17:01Z |
|
| dc.date.available |
2021-05-03T13:17:01Z |
|
| dc.identifier |
M. Mohamed, W. Joseph, G. Vermeeren, E. Tanghe, and M. Cheffena, “Characteri-zation of off-body area network channels during walking,” in2019 13th InternationalSymposium on Medical Information and Communication Technology (ISMICT),May 2019, pp. 1–4. |
|
| dc.identifier |
2326-8301 |
|
| dc.identifier |
http://hdl.handle.net/20.500.11810/5357 |
|
| dc.identifier |
10.1109/ISMICT.2019.8743848 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.11810/5357 |
|
| dc.description |
In this work, the off-body area network channel characteristics during walking were investigated using finite-difference time-domain. The channels were investigated in terms of fade variation and the correlation between different channels. Larger fade variations were experienced by the channel with the absence of line-of-sight, due to constructive and destructive interference as the distance between the end nodes changes. The channels showed significant correlation and hence a multivariate normal distribution was considered. The distribution has the capability of modeling channels jointly which make it easier for network analysis. The resulting estimated multivariate distributions fit well with the simulated data. |
|
| dc.language |
en |
|
| dc.publisher |
IEEE |
|
| dc.relation |
2019 13th International Symposium on Medical Information and Communication Technology (ISMICT); |
|
| dc.subject |
body area networks , correlation methods , fading channels , finite difference time-domain analysis , normal distribution , radiofrequency interference |
|
| dc.title |
Characterization of Off-Body Area Network Channels During Walking |
|
| dc.type |
Conference Proceedings |
|