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Multi-armed bandit based policies for cognitive radio's decision making issues
Jouini, Wassim; Ernst, Damien; Moy, Christophe et al.
2009In Proceedings of the 3rd International Conference on Signals, Circuits and Systems (SCS)
Peer reviewed
 

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Keywords :
cognitive radio; decision making; multi-armed bandit; upper confidence bound algorithm
Abstract :
[en] We suggest in this paper that many problems related to Cognitive Radio’s (CR) decision making inside CR equipments can be formalized as Multi-Armed Bandit problems and that solving such problems by using Upper Confidence Bound (UCB) algorithms can lead to high-performance CR devices. An application of these algorithms to an academic Cognitive Radio problem is reported.
Disciplines :
Computer science
Electrical & electronics engineering
Author, co-author :
Jouini, Wassim
Ernst, Damien  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Moy, Christophe
Palicot, Jacques
Language :
English
Title :
Multi-armed bandit based policies for cognitive radio's decision making issues
Publication date :
November 2009
Event name :
3rd International Conference on Signals, Circuits and Systems (SCS)
Event place :
Djerba, Tunisia
Event date :
6-8 November 2009
Audience :
International
Main work title :
Proceedings of the 3rd International Conference on Signals, Circuits and Systems (SCS)
ISBN/EAN :
978-1-4244-4397-0
Peer reviewed :
Peer reviewed
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
Available on ORBi :
since 26 January 2010

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