wireless network architectures / wireless networking paradigm / cognitive networks / direct policy search methods / telecommunications domain / search process / spectrum management / mathematical tools / opponent-independent closed-form solution / wireless access technologies / cognitive radio networking paradigm / trial-and-error learning algorithm / fact cognitive network applications / particular cognitive networking solution / software wrappers / policy server / wireless communications / simpler search mechanisms / actual enabling technology / recent applications / ad hoc network / cognitive network applications / adaptive wireless networks / cognitive networking applications / cognitive radio networking / model-free algorithm / cognitive wireless backbones / radio networks / distinguished cognitive radio networking aspect / cognitive networking context / potential applications / software suite / wireless solutions / ad hoc networks / cognitive radio networks / possible solution / adaptation algorithm / cognitive networking world / wireless networking / cognitive radio applications / telecommunications domains / cognitive network / genetic algorithms / electronic devices / energy efficiency / wireless environment / policy protocol / cognitive networking / policy systems / energy-awareness / reactive learning algorithms / learning algorithm / learning algorithms / /
MarketIndex
Exponential Moving / /
Organization
US Department of Defense / Virginia Tech / Information Technologies / Ss Cyril and Methodius University in Skopje / Faculty of Electrical Engineering and Information Technologies / Trinity College Dublin / /
Person
Irene Macaluso / Ai / Vladimir Atanasovski / /
Position
Policy Manager / Prime Minister / Policy Engine Manager / spectrum broker / mediator / player / N-player / intelligent interpreter of data coming / Manager - CRM / Cognitive Resource Manager / /
1 Learning and Reasoning in Cognitive Radio Networks Liljana Gavrilovska, Vladimir Atanasovski, Irene Macaluso, and Luiz DaSilva