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Optimal Spectrum Sensing and Resource Allocation in Cognitive Radio Open Access


Other title
cognitive radio
resource allocation
spectrum sensing
Type of item
Degree grantor
University of Alberta
Author or creator
Fan, Rongfei
Supervisor and department
Hai Jiang (Department of Electrical and Computer Engineering)
Examining committee member and department
F. Richard Yu (Department of Systems and Computer Engineering, Carleton University)
Hai Jiang (Department of Electrical and Computer Engineering)
Chintha Tellambura (Department of Electrical and Computer Engineering)
H. Vicky Zhao (Department of Electrical and Computer Engineering)
Xinwei Yu (Department of Mathematical and Statistical Sciences)
Department of Electrical and Computer Engineering

Date accepted
Graduation date
Doctor of Philosophy
Degree level
Cognitive radio is an emerging spectrum-agile technology to alleviate the upcoming spectrum shortage problem. In a cognitive radio network, unlicensed users (secondary users) can access the licensed spectrum if there is no transmission/reception activity of licensed users (primary users) in an overlay mode, or the interference of secondary users to primary users is below a threshold in an underlay mode. Spectrum sensing is essential in an overlay mode, while resource allocation is challenging in both modes due to the lower priority of secondary channel access. The focus of this thesis is on optimal spectrum sensing and resource allocation in cognitive radio networks, to provide necessary protection for primary users and achieve resource efficiency for secondary users. Firstly, optimal sensing time allocation in multichannel cognitive radio network is studied, to maximize the average throughput of secondary users while protecting primary activities. The initially formulated optimization problems are non-convex, which are very hard to be solved optimally. By finding special properties of the problems, the problems are decomposed into bi-level convex optimization problems, which can be solved optimally. Secondly, channel sensing order setting in a two-user multichannel cognitive radio network is investigated. Two sub-optimal algorithms are proposed and numerically verified to have comparable performances to optimal solutions. When adaptive modulation is adopted, it is shown that the stopping rule should be designed jointly with sensing order setting strategy of the two users. Thirdly, joint sensing time setting and resource allocation in a multichannel cognitive radio network is studied. An optimization problem is formulated to maximize the weighted average throughput of secondary users. The problem is non-convex. With the aid of monotonic optimization and bi-level optimization, the non-convex problem is solved optimally. The research is also extended to cases maximizing the proportional or max-min fairness level of the users. Last but not least, optimal resource allocation in an underlay mode is investigated. The average rate of secondary users is maximized while limiting the interference to primary users. Convex problems are formulated. By deriving special properties of the optimal solutions, simple online algorithms are given, with closed-form solutions.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
R. Fan and H. Jiang, "Optimal multi-channel cooperative sensing in cognitive radio networks," IEEE Transactions on Wireless Communications, vol. 9, no. 3, pp. 1128-1138, Mar. 2010.R. Fan and H. Jiang, "Channel sensing-order setting in cognitive radio networks: A two-user case," IEEE Transactions on Vehicular Technology, vol. 58, no. 9, pp. 4997-5008, Nov. 2009.R. Fan, H. Jiang, Q. Guo, and Z. Zhang, "Joint optimal cooperative sensing and resource allocation in multichannel cognitive radio networks," IEEE Transactions on Vehicular Technology, vol. 60, no. 2, pp. 722-729, Feb. 2011.R. Fan and H. Jiang, "Average rate maximization in relay networks over slow fading channels," IEEE Transactions on Vehicular Technology, vol. 60, no. 8, pp. 3865-3881, Oct. 2011.

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