Caractérisation et modélisation des canaux MIMO-WBAN dans une mine souterraine

El Azhari, Moulay El Hassan (2020). Caractérisation et modélisation des canaux MIMO-WBAN dans une mine souterraine. Thèse. Gatineau, Université du Québec en Outaouais, Département d'informatique et d'ingénierie, 173 p.

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Résumé

Recently, the rising accident rates in the underground mining field pushed toward exploring new communication schemes destined to the safety of the miners. Indeed, the WBAN technology has emerged as a promising communication scheme dedicated to the miners safety. The first contribution of this PhD Thesis consists in characterizing the WBAN channel under different channel conditions. Valuable channel measurements data are processed and reported in the open literature.
The second contribution of this thesis consists in statistical and empirical modeling of the WBAN channels within an underground mine. This step allows predicting the propagation characteristics of a certain underground WBAN channel based on the entered parameters (which could be determined empirically from measurements or estimated from published results in similar environments). These stochastic and empirical methods have proven to be suitable for the studied environment with encouraging results approaching the measurements. This study opens the door for wider investigation of novel modeling methods, consisting in empirically modeling the multipath amplitudes as an exponentially decaying PDP, while arrival times are stochastically modeled by comparing the measurements to different random distributions from the literature. Hence, the impulse response model is generated, which completely characterizes the WBAN channel.
The significance of this PhD thesis is that it would provide a tool for communication system designers to understand the underground WBAN propagation mechanism and take economic design decisions (without the need of extensive underground measurements campaigns).

Type de document:	Thèse (Thèse)
Directeur de mémoire/thèse:	Talbi, Larbi
Co-directeurs de mémoire/thèse:	Nedil, Mourad
Départements et école, unités de recherche et services:	Informatique et ingénierie
Date de dépôt:	19 oct. 2020 18:22
Dernière modification:	19 oct. 2020 18:22
URI:	https://di.uqo.ca/id/eprint/1189

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