Abrignani, Melchiorre Danilo
(2016)
Heterogeneous Networks for the IoT and Machine Type Communications, [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Elettronica,telecomunicazioni e tecnologie dell'informazione, 28 Ciclo. DOI 10.6092/unibo/amsdottorato/7539.
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Abstract
The Internet of Things promises to be a key-factor in the forthcoming industrial and social revolution. The Internet of Things concept rely on pervasive communications where ’things’ are ’always connected’. The focus of the thesis is on Heterogeneous Networks for Internet of Things and Machine Type Communications. Heterogeneous Networks are an enabling factor of paramount important in order to achieve the ’always connected’ paradigm. On the other hand, Machine Type Communications are deeply different from Human-to-Human communications both in terms of traffic patterns and requirements. This thesis investigate both concepts. In particular, here are studied short and long range solutions for Machine-to-machine applications. For this work a dual approach has been followed: for the short-range solutions analysis an experimental approach has been privileged; meanwhile for the long-range solutions analysis a theoretical and simulation approach has been preferred. In both case, a particular attention has been given to the feasibility of the solutions proposed, hence solutions based on products that already exist in the market have been privileged.
Abstract
The Internet of Things promises to be a key-factor in the forthcoming industrial and social revolution. The Internet of Things concept rely on pervasive communications where ’things’ are ’always connected’. The focus of the thesis is on Heterogeneous Networks for Internet of Things and Machine Type Communications. Heterogeneous Networks are an enabling factor of paramount important in order to achieve the ’always connected’ paradigm. On the other hand, Machine Type Communications are deeply different from Human-to-Human communications both in terms of traffic patterns and requirements. This thesis investigate both concepts. In particular, here are studied short and long range solutions for Machine-to-machine applications. For this work a dual approach has been followed: for the short-range solutions analysis an experimental approach has been privileged; meanwhile for the long-range solutions analysis a theoretical and simulation approach has been preferred. In both case, a particular attention has been given to the feasibility of the solutions proposed, hence solutions based on products that already exist in the market have been privileged.
Tipologia del documento
Tesi di dottorato
Autore
Abrignani, Melchiorre Danilo
Supervisore
Dottorato di ricerca
Scuola di dottorato
Scienze e ingegneria dell'informazione
Ciclo
28
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
MTC; IoT; M2M; SmallCells; HetNets; WSN
URN:NBN
DOI
10.6092/unibo/amsdottorato/7539
Data di discussione
14 Aprile 2016
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Abrignani, Melchiorre Danilo
Supervisore
Dottorato di ricerca
Scuola di dottorato
Scienze e ingegneria dell'informazione
Ciclo
28
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
MTC; IoT; M2M; SmallCells; HetNets; WSN
URN:NBN
DOI
10.6092/unibo/amsdottorato/7539
Data di discussione
14 Aprile 2016
URI
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