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Abstract
The main topic investigated in this thesis is related to characterization of the performance of D2D wireless networks. Given this broad objective, analytical framework models based on stochastic geometry have been proposed. One of them deals with the study of the coverage probability of both cellular networks and D2D networks whereas the others are related to dynamic mobility models in which the effects of blockages on the link lifetime have been studied. On the other hand, the experimental activity based on UWB using passive tags has been presented in which a localization system based on the ultra-wideband (UWB) technology and high-level architectures to improve the cyclists safety has been proposed.
Abstract
The main topic investigated in this thesis is related to characterization of the performance of D2D wireless networks. Given this broad objective, analytical framework models based on stochastic geometry have been proposed. One of them deals with the study of the coverage probability of both cellular networks and D2D networks whereas the others are related to dynamic mobility models in which the effects of blockages on the link lifetime have been studied. On the other hand, the experimental activity based on UWB using passive tags has been presented in which a localization system based on the ultra-wideband (UWB) technology and high-level architectures to improve the cyclists safety has been proposed.
Tipologia del documento
Tesi di dottorato
Autore
Alhalabi, Ashraf S.A.
Supervisore
Dottorato di ricerca
Ciclo
29
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Stochastic Geometry, Device-to-Device, Link lifetime, Interference, Blockage
URN:NBN
DOI
10.6092/unibo/amsdottorato/7845
Data di discussione
11 Maggio 2017
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Alhalabi, Ashraf S.A.
Supervisore
Dottorato di ricerca
Ciclo
29
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Stochastic Geometry, Device-to-Device, Link lifetime, Interference, Blockage
URN:NBN
DOI
10.6092/unibo/amsdottorato/7845
Data di discussione
11 Maggio 2017
URI
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