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Modeling and performance analysis of cognitive radio networks

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dc.contributor Graduate Program in Computer Engineering.
dc.contributor.advisor Alagöz, Fatih.
dc.contributor.author Çavdar, Derya.
dc.date.accessioned 2023-03-16T10:00:03Z
dc.date.available 2023-03-16T10:00:03Z
dc.date.issued 2009.
dc.identifier.other CMPE 2009 C38
dc.identifier.uri http://digitalarchive.boun.edu.tr/handle/123456789/12135
dc.description.abstract Cognitive radio heralds the next step in the evolution of wireless communications. Cognitive radio networks are inherently priority based and preemptive. Hence, keeping track of each resource in each cell is mandatory. In this thesis, an analytical model for infrastructure based cognitive radio systems is proposed, and its performance is evaluated under even and uneven traffic scenarios in a multiple cell environment. Performance metrics like probabilities of dropping and blocking for primary and secondary users as well as forced termination and forced frequency handoff for secondary users are investigated, and the analytical model is verified with simulations. In addition to the analytical model, a new capacity assignment method is proposed to compensate for uneven traffic load distribution. The proposed method considers offered traffic, hop count to the heavily loaded cell, and velocity of mobile users during capacity assignment and performs better in terms of probability of blocking, dropping, and forced termination.
dc.format.extent 30cm.
dc.publisher Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2009.
dc.subject.lcsh Cognitive radio networks.
dc.title Modeling and performance analysis of cognitive radio networks
dc.format.pages xvii, 61 leaves;


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