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Communication dans un congrès

All-Powerful Learning Algorithm for the Priority Access in Cognitive Network

Mahmoud Almasri 1 Ali Mansour 1 Christophe Moy 2 A. Assoum Christophe Osswald 3 Denis Le Jeune 1
1 Lab-STICC_ENSTAB_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Lab-STICC_ENSTAB_CID_DECIDE
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (UMR 3192), STIC - Pôle STIC [Brest], Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
Abstract : In this paper, we propose the All-Powerful Learning (APL) algorithm for multiple Secondary Users (SUs) that considers the priority access and the dynamic multi-user access, where the number of SUs changes over time. To the best of our knowledge, APL is the first learning algorithm that successfully handles the dynamic users with the priority access. APL does not require any cooperation or prior information (e.g. the number of users in the network, or the number of available channels, or the total number of iterations) as do many existing algorithms. We should emphasize that the knowledge of previous parameters can make all these algorithms impractical and difficult to apply. The experimental results show the superiority of APL compared to existing algorithms.
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https://hal-ensta-bretagne.archives-ouvertes.fr/hal-02418325
Contributeur : Claude Morvan <>
Soumis le : mercredi 18 décembre 2019 - 16:55:00
Dernière modification le : mercredi 14 octobre 2020 - 03:41:20

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Mahmoud Almasri, Ali Mansour, Christophe Moy, A. Assoum, Christophe Osswald, et al.. All-Powerful Learning Algorithm for the Priority Access in Cognitive Network. 27th European Signal Processing Conference (EUSIPCO), Sep 2019, A Coruna, Spain. pp.1-5, ⟨10.23919/EUSIPCO.2019.8903016⟩. ⟨hal-02418325⟩

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