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Spectrum Sensing, Access, and Leasing in Cognitive Radio Networks

  • Author / Creator
    Zheng, Yu
  • Cognitive radio has been considered as a promising way to deal with the overcrowded wireless spectrum. In cognitive radio, when licensed users (primary users) do not use their licensed spectrum, they may lease the spectrum to unlicensed users (secondary user). In a cognitive radio network, a secondary user may target at maximizing its utility, while a primary user may target at maximizing its revenue. In this thesis, the utility maximization of a secondary user and the revenue maximization of a primary user are both investigated. For a secondary user’s utility maximization, we investigate the spectrum sensing and access strategy of the secondary user. The secondary user pays rental fee to the primary user when accessing the licensed channel. In addition, a penalty fee is charge if the secondary user fails to detect primary activities and interferes with primary reception. The setting of the penalty price is discussed. The secondary utility maximization problem is formulated, which selects the optimal spectrum sensing duration and secondary transmission power. The problem is shown to be nonconvex. Some properties of the problem are derived, and accordingly, an iterative algorithm is provided to solve the problem. For primary user’s revenue maximization, long-term spectrum leasing with multiple rounds is considered, and the target is to find optimal price values over the rounds. Cases with discrete and continuous spectrum demand are investigated. For each case, revenue optimization problems are formulated, and solving methods are also provided. Some interesting properties of the optimal solutions are also presented as well.

  • Subjects / Keywords
  • Graduation date
    2014-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3ZS2KK8R
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Communications
  • Supervisor / co-supervisor and their department(s)
    • Jiang, Hai (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Zhao, Hong Vicky (Electrical and Computer Engineering)
    • Qiu, Zhi-Jun (Civil and Environmental Engineering)