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Title: Resource Allocation in Traditional and Cooperative Cognitive Radio Networks
Authors: Cui, Shaohang
Supervisor: Cai, Jun (Electrical and Computer Engineering)
Examining Committee: Alfa, Attahiru (Electrical and Computer Engineering) Wang, Quan (Mechanical and Manufacturing Engineering)
Graduation Date: October 2011
Keywords: Resource Allocation
Cognitive Radio
cooperative communication
Issue Date: 6-Sep-2011
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.
Appears in Collection(s):FGS - Electronic Theses & Dissertations (Public)

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