Predictive Behavior Classification For Cognitive Radio: Introduction and Preliminary Results

Daniel DePoy, Tamal Bose · 2012

Cognitive Radio systems rely heavily on artificial intelligence capabilities to perform a variety of tasks. Sharing spectrum resources more efficiently, self organization, and interference mitigation are just a few examples. For many CR applications, a primary goal is to decentralize and distribut

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