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Modeling, Design and Analysis of Multi-Channel Cognitive Radio Networks.


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Tadayon, Navid (2016). Modeling, Design and Analysis of Multi-Channel Cognitive Radio Networks. Thèse. Québec, Université du Québec, Institut national de la recherche scientifique, Doctorat en télécommunications, 281 p.

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This dissertation offers a comprehensive treatment of cognitive radio (CR) as an elemental technology capable of improving the spectral inadequacy problem in future generations of wireless networks. As the first milestone in this PhD dissertation, mathematical models are established as the abstract descriptions of CR networks (CRNs). In the realm of wireless communications, such modeling is the skeleton for any ensuing action plan. These models help network planners to comprehend and visualize different aspects of CRNs before deployment. Aside from shedding insight into our understanding, expressions derived from the analytical models can be incorporated at the core of the algorithms and mechanisms for CRNs. The proposed models in this dissertation are stable and based on well-defined methodologies. The modeling research objectives are sought from three different perspectives. From the first perspective, the efforts are focused on both single-interface and multi-interface multi-channel CRNs (MC-CRNs) with emphasis on generic settings as well as WRANs. From the second perspective, four different issues are worked out, namely, modeling, analysis, synthesis and optimality. Finally, from the last perspective, theMC-CRNs are explored through numerical modeling, closed-form analysis, and simulation validation. Despite its importance, investigations in the area of designing mechanisms for MCCRNs have been scarce. In filling this void, the second part of this thesis is devoted to designing smart, efficient, and scalable mechanisms for MC-CRNs. The research work in this part is extensive as it embodies spectrum sensing, decision, mobility, and sharing problems. The first three problems are tackled by proposing an efficient spectrum distributed sensing and fusion mechanism (SFM) for CR based IEEE 802.22 WRANs. The proposed mechanism avoids most of the shortcomings of the SFMs that are featured by the standard, complies with the standard directives, and can be easily implemented into WRANs with minimal changes.The last chapter deals with the problem of spectrum sharing. Built upon the recentlyemerged theory of optimal multi-unit auctions, a spectrum sharing mechanism is introduced. The proposal resolves several deep-rooted issues inMC-CRNs. On the user side, the fairness-optimality trade-off is settled, whereas on the network operator side the total collected revenue is maximized through the imposition of payments. To diminish uncertainties in the decision making process and improve the stability of the resource assignments, the aforementioned payment rule is designed to induce truthfulness among self-centered and rational users. These properties, along with the computational manageability of the formulated problem, as well as the existence and stability of its solution, renders the proposed spectrum sharing mechanism an ideal scheme for exploitation in practice.

Type de document: Thèse Thèse
Directeur de mémoire/thèse: Aïssa, Sonia
Mots-clés libres: cognitive radio;
Centre: Centre Énergie Matériaux Télécommunications
Date de dépôt: 20 oct. 2016 19:48
Dernière modification: 28 sept. 2020 14:01
URI: https://espace.inrs.ca/id/eprint/4793

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