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Design of Optimal Frameworks for Wideband/Multichannel Spectrum Sensing in Cognitive Radio Networks Open Access


Other title
Multiband sensing-time-adaptive joint detection
Wideband spectrum sensing in cognitive radio
Type of item
Degree grantor
University of Alberta
Author or creator
Paysarvi Hoseini, Pedram
Supervisor and department
Beaulieu, Norman C. (Electrical and Computer Engineering)
Examining committee member and department
Nikolaidis, Iaonis (Computing Science)
Iyer, Ashwin K. (Electrical and Computer Engineering)
Department of Electrical and Computer Engineering

Date accepted
Graduation date
Master of Science
Degree level
Several optimal detection frameworks for wideband/multichannel spectrum sensing in cognitive radio networks are proposed. All frameworks search for multiple secondary transmission opportunities over a number of narrowband channels, enhancing the secondary network performance while respecting the primary network integrity and keeping the interference limited. Considering a periodic sensing scheme with either uniform or non-uniform channel sensing durations, the detection problems are formulated as joint optimization of the sensing duration(s) and individual detector parameters to maximize the aggregate achievable secondary throughput capacity given some bounds/limits on the overall interference imposed on the primary network. It is demonstrated that all the formulated optimization problems can be solved using “convex” optimization if certain practical constraints are applied. Simulation results attest that the proposed frameworks achieve superior performance compared to contemporary frameworks. To realize efficient implementation, an iterative low-complexity algorithm which solves one of the optimization problems with much lower complexity compared to other numerical methods is presented. It is established that the iteration-complexity and the complexity-per-iteration of the proposed algorithm increases linearly with the number of optimization variables (i.e. the number of narrowband channels).
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