A Thompson Sampling Approach to Channel ...
Type de document :
Communication dans un congrès avec actes
Titre :
A Thompson Sampling Approach to Channel Exploration-Exploitation Problem in Multihop Cognitive Radio Networks
Auteur(s) :
Toldov, Viktor [Auteur]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN]
Université de Lille, Sciences et Technologies
Self-organizing Future Ubiquitous Network [FUN]
Clavier, Laurent [Auteur]
Institut TELECOM/TELECOM Lille1
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN]
Loscrì, Valeria [Auteur]
Self-organizing Future Ubiquitous Network [FUN]
Mitton, Nathalie [Auteur]
Self-organizing Future Ubiquitous Network [FUN]
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN]
Université de Lille, Sciences et Technologies
Self-organizing Future Ubiquitous Network [FUN]
Clavier, Laurent [Auteur]

Institut TELECOM/TELECOM Lille1
Circuits Systèmes Applications des Micro-ondes - IEMN [CSAM - IEMN]
Loscrì, Valeria [Auteur]
Self-organizing Future Ubiquitous Network [FUN]
Mitton, Nathalie [Auteur]
Self-organizing Future Ubiquitous Network [FUN]
Titre de la manifestation scientifique :
27th annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Ville :
Valencia
Pays :
Espagne
Date de début de la manifestation scientifique :
2016-09-04
Discipline(s) HAL :
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Résumé en anglais : [en]
Cognitive radio technology is a promising solution to the exponential growth in bandwidth demand sustained by increasing number of ubiquitous connected devices. The allocated spectrum is opened to the secondary users ...
Lire la suite >Cognitive radio technology is a promising solution to the exponential growth in bandwidth demand sustained by increasing number of ubiquitous connected devices. The allocated spectrum is opened to the secondary users conditioned on limited interference on the primary owner of the band. A major bottleneck in cognitive radio systems is to find the best available channel quickly from a large accessible set of channels. This work formulates the channel exploration-exploitation dilemma as a multi-arm bandit problem. Existing theoretical solutions to a multi-arm bandit are adapted for cognitive radio and evaluated in an experimental test-bed. It is shown that a Thompson sampling based algorithm efficiently converges to the best channel faster than the existing algorithms and achieves higher asymptotic average throughput. We then propose a multihop extension together with an experimental proof of concept.Lire moins >
Lire la suite >Cognitive radio technology is a promising solution to the exponential growth in bandwidth demand sustained by increasing number of ubiquitous connected devices. The allocated spectrum is opened to the secondary users conditioned on limited interference on the primary owner of the band. A major bottleneck in cognitive radio systems is to find the best available channel quickly from a large accessible set of channels. This work formulates the channel exploration-exploitation dilemma as a multi-arm bandit problem. Existing theoretical solutions to a multi-arm bandit are adapted for cognitive radio and evaluated in an experimental test-bed. It is shown that a Thompson sampling based algorithm efficiently converges to the best channel faster than the existing algorithms and achieves higher asymptotic average throughput. We then propose a multihop extension together with an experimental proof of concept.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Source :
Fichiers
- https://hal.inria.fr/hal-01355002/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-01355002/document
- Accès libre
- Accéder au document
- https://hal.inria.fr/hal-01355002/document
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- Final.pdf
- Accès libre
- Accéder au document
- document
- Accès libre
- Accéder au document
- Final.pdf
- Accès libre
- Accéder au document