Technical Program

CCR-2: Machine Learning for Characterization of Cognitive Communications and Radar II

Symposium: Symposium on Machine Learning for Characterization of Cognitive Communications and Radar
Session Type: Lecture
Time: Friday, December 9, 11:00 - 12:20
Location: Salon H
Session Chair: Silvija Kokalj-Filipovic, Naval Research Laboratory
 
11:00 - 11:20
CCR-2.1: LEARNING STRUCTURAL PROPERTIES OF WIRELESS AD-HOC NETWORKS NON-PARAMETRICALLY FROM SPECTRAL ACTIVITY SAMPLES
         Silvija Kokalj-Filipovic; Naval Research Laboratory
         Michael Pepe; Naval Research Laboratory
         Crystal Bertoncini Acosta; Naval Research Laboratory
 
11:20 - 11:40
CCR-2.2: A ROBUST APPLICATION DETECTOR FOR INTELLIGENT WIRELESS COLLABORATION
         Kevin Pietsch; Lockheed Martin
         Sean Mason; Lockheed Martin
 
11:40 - 12:00
CCR-2.3: LEARNING EQUILIBRIA FOR POWER ALLOCATION GAMES IN COGNITIVE RADIO NETWORKS WITH A JAMMER
         Raghed El-Bardan; Syracuse University
         Vinod Sharma; Indian Institute of Science
         Pramod K. Varshney; Syracuse University
 

GlobalSIP 2016 thanks the following for their support.