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Estimation of Cost-based Channel Occupancy in Cognitive Radio Using Sequential Monte Carlo Methods

Abstract Dynamic channel selection in cognitive radio consists of two main phases. The first phase is spectrum sensing, during which the channels that are occupied by the primary users are detected. The second phase is channel selection, during which the state of the channel to be used by the secondary user is estimated. The existing cognitive radio channel selection literature assumes perfect spectrum sensing. However, this assumption becomes problematic as the noise in the channels increases, resulting in high probability of false alarm and high probability of missed detection. This thesis proposes a solution to this problem by incorporating the estimated state of channel occupancy into a selection cost function. The problem of optimal single-chan... (more)
Created Date 2014
Contributor Zapp, Joseph Vincent (Author) / Papandreou-Suppappola, Antonia (Advisor) / Kovvali, Narayan (Committee member) / Reisslein, Martin (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Channel Selection / Cognitive Radio / Dynamic Channel Selection / Dynamic Spectrum Allocation / Particle Filter / Spectrum Sensing
Type Masters Thesis
Extent 60 pages
Language English
Reuse Permissions All Rights Reserved
Note M.S. Electrical Engineering 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis