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dc.contributor.supervisor Cai, Jun (Electrical and Computer Engineering) en_US
dc.contributor.author Cui, Shaohang
dc.date.accessioned 2011-09-06T14:54:32Z
dc.date.available 2011-09-06T14:54:32Z
dc.date.issued 2011-09-06
dc.identifier.uri http://hdl.handle.net/1993/4842
dc.description.abstract Cognitive radio (CR) is a promising technique to improve spectrum efficiency for wireless communications. This thesis focuses on the resource allocation in two kinds of CR networks (CRNs), traditional CRNs (TCRNs) and cooperative CRNs (CCRNs). In TCRNs, CR sources and destinations communicate directly. By exploring the heterogeneity among CRs, a prioritized CSMA/CA is proposed for demand-matching spectrum allocation. A distributed game is formulated and no-regret learning is adopted to solve the game. Simulation results indicate increase on the number of satisfied CRs. In CCRNs, some nodes are selected as relays to assist the communication. A two-layer auction game is proposed with the first layer performing spectrum allocation and relay formation, and the second layer performing relay allocation. These two layers interact and jointly solve the resource allocation problem. Simulation results show that, compared to counterparts, both the network throughput and convergence time can be improved. en_US
dc.rights info:eu-repo/semantics/openAccess
dc.subject Resource Allocation en_US
dc.subject Cognitive Radio en_US
dc.subject cooperative communication en_US
dc.subject game en_US
dc.title Resource Allocation in Traditional and Cooperative Cognitive Radio Networks en_US
dc.type info:eu-repo/semantics/masterThesis
dc.degree.discipline Electrical and Computer Engineering en_US
dc.contributor.examiningcommittee Alfa, Attahiru (Electrical and Computer Engineering) Wang, Quan (Mechanical and Manufacturing Engineering) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note October 2011 en_US


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