Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems

Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems

A Master of Science thesis in Electrical Engineering by Menatalla Diaaeldin Shehabeldin entitled, "Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems," submitted in June 2015. Thesis advisors are Dr. Mohamed El-Tarhuni and Dr. Khaled Assaleh. Soft and hard copy availabl...

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Bibliographic Details
Main Author: Shehabeldin, Menatalla Diaaeldin (author)
Format: doctoralThesis
Published: 2015
Subjects:
Cognitive radio
Spectrum management
Dynamic spectrum access
Spectrum sensing
Hidden Markov model
Polynomial classifier
Nonlinear autoregressive with exogenous inputs model
Cognitive radio networks
Mathematical models
Online Access:http://hdl.handle.net/11073/7854
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http://hdl.handle.net/11073/7854

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