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Baldo, Nicola (2009) Cognitive Radios and Networks. [Tesi di dottorato]

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Abstract (inglese)

In recent years, the Cognitive Radio and Cognitive Network paradigms have received significant attention by the research community. Cognitive Radios and Networks, in their initial formulation, are characterized by the addition of cognition capabilities such as reasoning and learning to wireless devices and networks, with the aim of providing enhanced adaptability and reconfigurability to cope with the ever-growing challenges of radio communications.
The concepts of Cognitive Radio and Network have actually been interpreted in several different ways. In this thesis, we will first of all provide an overview of the different interpretations of Cognitive Radios and Networks, as appeared in the recent literature.
We will then focus on the cognitive adaptation and reconfiguration of devices and networks by means of Artificial Intelligence (AI) techniques. In this respect, we will discuss how two well-known AI techniques, i.e., Fuzzy Logic and Neural Networks, can be used within a cross-layer and cross-device knowledge representation and reasoning architecture to become major enabling technologies for Cognitive Radios and Networks. For each technology we will discuss how it can be effectively adopted to implement key functionalities of cognitive systems, and we will present and discuss example applications such as cross-layer parameter optimization, wireless network access selection and channel assignment. For all the discussed applications, we will present performance evaluation results showing the advantages that the proposed techniques provide with respect to state-of-the-art approaches.


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Tipo di EPrint:Tesi di dottorato
Relatore:Zorzi, Michele
Dottorato (corsi e scuole):Ciclo 21 > Scuole per il 21simo ciclo > INGEGNERIA DELL'INFORMAZIONE > INGEGNERIA ELETTRONICA E DELLE TELECOMUNICAZIONI
Data di deposito della tesi:12 Gennaio 2009
Anno di Pubblicazione:Gennaio 2009
Parole chiave (italiano / inglese):Cognitive Radio, Cognitive Network, Artificial Intelligence, Cross-layer Optimization, Fuzzy Logic, Neural Networks
Settori scientifico-disciplinari MIUR:Area 09 - Ingegneria industriale e dell'informazione > ING-INF/03 Telecomunicazioni
Struttura di riferimento:Dipartimenti > Dipartimento di Ingegneria dell'Informazione
Codice ID:1322
Depositato il:12 Gen 2009
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