Statistical Experimental Design Framework for Cognitive Radio

This dissertation presents an empirical approach to identifying decisions for adapting cognitive radio parameters with no a priori knowledge of the environment. Cognitively inspired radios, attempt to combine observed metrics of system performance with artificial intelligence decision-making algorit...

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Bibliographic Details
Main Author: Amanna, Ashwin Earl
Other Authors: Electrical and Computer Engineering
Format: Others
Language:en_US
Published: Virginia Tech 2017
Subjects:
Online Access:http://hdl.handle.net/10919/77331
http://scholar.lib.vt.edu/theses/available/etd-03272012-215119/