Competition: Channel Exploration-Exploitation Based on a Thompson Sampling Approach in a Radio Cognitive EnvironmentReportar como inadecuado




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1 FUN - Self-organizing Future Ubiquitous Network Inria Lille - Nord Europe 2 IEMN - Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 3 IRCICA - Institut de Recherche sur les Composants logiciels et matériels pour l-Information et la Communication Avancé 4 IMT - Institut Mines Télécom - Télécom Lille

Abstract : Machine learning approaches have been extensively applied in interference mitigation and cognitive radio devices. In this work, we model the spectrum selection process as a multi-arm bandit problem and apply Thompson sampling, a fast and efficient algorithm, to find the best channel in the shortest time interval. The learning algorithm will work on top of a network layer to efficiently route the event information to the sink.





Autor: Arash Maskooki - Viktor Toldov - Laurent Clavier - Valeria Loscrí - Nathalie Mitton -

Fuente: https://hal.archives-ouvertes.fr/



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