Channel Characterization and Modeling for Optical Wireless Body-Area Networks

We address channel characterization and modeling for medical wireless body-area networks (WBANs) based on the optical wireless technology. We focus on the intra-WBAN communication links, i.e., between a set of medical sensors and a coordination node, placed on the patient's body. We consider a...

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Bibliographic Details
Published in:IEEE open journal of the Communications Society 2020-01, Vol.1, p.760-776
Main Authors: Haddad, Oussama, Khalighi, Mohammad-Ali, Zvanovec, Stanislav, Adel, Mouloud
Format: Article
Language:English
Subjects:
Animation
Biomedical optical imaging
Body area networks
Body parts
channel characterization
channel modeling
Dynamic models
Engineering Sciences
Optical communication
Optical sensors
Optical wireless
optical wireless communications
Optics
Parameters
Photonic
Ray tracing
Signal and Image processing
Solid modeling
Statistical models
user mobility
Wireless body-area networks
Wireless communication
Wireless networks
Wireless sensor networks
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Summary:We address channel characterization and modeling for medical wireless body-area networks (WBANs) based on the optical wireless technology. We focus on the intra-WBAN communication links, i.e., between a set of medical sensors and a coordination node, placed on the patient's body. We consider a realistic mobility model, e.g., inside a hospital room, which takes into account the effect of shadowing due to body parts movements and the variations of the underlying channels. To take into account the global and local user mobility, we consider a dynamic model based on a three-dimensional animation of a walk cycle, as well as walk trajectories based on an improved random way-point mobility model. Then, Monte Carlo ray-tracing simulations are performed to obtain the channel impulse responses for different link configurations at different instants of the walk scenarios. We then derive first-and second-order statistics of the channel parameters such as the channel DC gain, delay spread, and coherence time, and furthermore, propose best fit statistical models to describe the distribution of these parameters for a general scenario.
ISSN:2644-125X
2644-125X
DOI:10.1109/OJCOMS.2020.2999104