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pro vyhledávání: '"Moy, Christophe"'
In this chapter, we will give comprehensive examples of applying RL in optimizing the physical layer of wireless communications by defining different class of problems and the possible solutions to handle them. In Section 9.2, we present all the basi
Externí odkaz:
http://arxiv.org/abs/2106.11595
Autor:
Moy, Christophe, Besson, Lilian
Publikováno v:
ISIoT workshop, May 2019, Santorin, Greece
This paper describes the principles and implementation results of reinforcement learning algorithms on IoT devices for radio collision mitigation in ISM unlicensed bands. Learning is here used to improve both the IoT network capability to support a l
Externí odkaz:
http://arxiv.org/abs/1906.00614
Publikováno v:
The 1st International Workshop on Mathematical Tools and technologies for IoT and mMTC Networks Modeling, Apr 2019, Marrakech, Morocco. https://sites.google.com/view/wcncworkshop-motion2019/
In this paper, we propose and evaluate different learning strategies based on Multi-Arm Bandit (MAB) algorithms. They allow Internet of Things (IoT) devices to improve their access to the network and their autonomy, while taking into account the impa
Externí odkaz:
http://arxiv.org/abs/1902.10615
Publikováno v:
IEEE WCNC - IEEE Wireless Communications and Networking Conference, Apr 2019, Marrakech, Morocco. https://wcnc2019.ieee-wcnc.org
We implement an IoT network the following way: one gateway, one or several intelligent (i.e., learning) objects, embedding the proposed solution, and a traffic generator that emulates radio interferences from many other objects. Intelligent objects c
Externí odkaz:
http://arxiv.org/abs/1902.01734
Publikováno v:
CROWNCOM 2017 - 12th EAI International Conference on Cognitive Radio Oriented Wireless Networks, Sep 2017, Lisbon, Portugal. http://crowncom.org/2017/
Setting up the future Internet of Things (IoT) networks will require to support more and more communicating devices. We prove that intelligent devices in unlicensed bands can use Multi-Armed Bandit (MAB) learning algorithms to improve resource exploi
Externí odkaz:
http://arxiv.org/abs/1807.00491
Autor:
Moy, Christophe
Le manuscrit de cette Habilitation à Diriger des Recherches reprend quelques thèmes de mon parcours de recherche depuis 10 ans, et que l'on peut résumer ainsi. De la conception radio classique pendant ma thèse (à base d'ASIC) j'ai vécu la trans
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00354493
http://tel.archives-ouvertes.fr/docs/00/35/44/93/PDF/ChristopheMoyHDRfinale.PDF
http://tel.archives-ouvertes.fr/docs/00/35/44/93/PDF/ChristopheMoyHDRfinale.PDF
Akademický článek
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In this paper, we address the general case of a coordinated secondary network willing to exploit communication opportunities left vacant by a licensed primary network. Since secondary users (SU) usually have no prior knowledge on the environment, the
Externí odkaz:
http://arxiv.org/abs/1204.3005
Autor:
Jouini, Wassim, Moy, Christophe
We introduce in this paper a new algorithm for Multi-Armed Bandit (MAB) problems. A machine learning paradigm popular within Cognitive Network related topics (e.g., Spectrum Sensing and Allocation). We focus on the case where the rewards are exponent
Externí odkaz:
http://arxiv.org/abs/1204.1624
Autor:
Farès, Haïfa, Christian Glattli, D., Louët, Yves, Palicot, Jacques, Moy, Christophe, Roulleau, Preden
Publikováno v:
In Comptes rendus - Physique January-February 2018 19(1-2):54-63
