Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Bonnefoi, Rémi"'
1
Report
Upper-Confidence Bound for Channel Selection in LPWA Networks with Retransmissions
Autor: Bonnefoi, Remi, Besson, Lilian, Manco-Vasquez, Julio, Moy, Christophe
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
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2
Report
GNU Radio Implementation of MALIN: 'Multi-Armed bandits Learning for Internet-of-things Networks'
Autor: Besson, Lilian, Bonnefoi, Remi, Moy, Christophe
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
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3
Report
Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings
Autor: Bonnefoi, Rémi, Besson, Lilian, Moy, Christophe, Kaufmann, Emilie, Palicot, Jacques
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
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4
Report
Upper and Lower Bounds for the Ergodic Capacity of MIMO Jacobi Fading Channels
Autor: Nafkha, Amor, Bonnefoi, Remi
In multi-(core/mode) optical fiber communication, the transmission channel can be modeled as a complex sub-matrix of the Haar-distributed unitary matrix (complex Jacobi unitary ensemble). In this letter, we present new analytical expressions of the u
Externí odkaz: http://arxiv.org/abs/1702.08258
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5
Report
New Lower Bound on the Ergodic Capacity of Optical MIMO Channels
Autor: Bonnefoi, Rémi, Nafkha, Amor
In this paper, we present an analytical lower bound on the ergodic capacity of optical multiple-input multiple-output (MIMO) channels. It turns out that the optical MIMO channel matrix which couples the mt inputs (modes/cores) into mr outputs (modes/
Externí odkaz: http://arxiv.org/abs/1701.08836
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7
Akademický článek
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8
Utilisation de la radio intelligente pour un réseau mobile à faible consommation d’énergie
Autor: Bonnefoi, Rémi
Publikováno v: Traitement du signal et de l'image [eess.SP]. CentraleSupelec, 2018. Français
Traitement du signal et de l'image [eess.SP]. CentraleSupélec, 2018. Français. ⟨NNT : 2018CSUP0001⟩
Traitement du signal et de l'image [eess.SP]. CentraleSupelec, 2018. Français. ⟨NNT : ⟩
The reduction of the carbon footprint of human activities is one of the current major economic and ecological challenges. Communication networks have a dual role in this reduction. On one hand, mobile networks, and in particular the base stations, ar
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::af95542f9e1083442aa2b5c64919c71b
https://hal.archives-ouvertes.fr/tel-02430551/document
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9
Low-Complexity Antenna Selection for Minimizing the Power Consumption of a MIMO Base Station
Autor: Bonnefoi, Rémi, Moy, Christophe, Palicot, Jacques, Nafkha, Amor
Publikováno v: The Fourteenth Advanced International Conference on Telecommunications AICT 2018
The Fourteenth Advanced International Conference on Telecommunications AICT 2018, Jul 2018, Barcelone, Spain
International audience; In this paper, we study the problem of Transmit Antenna Selection (TAS) for the minimization of a base station power consumption. We propose an algorithm, which solves this problem when the optimal precoding and power allocati
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c015435b897e0937f62675f465671e48
https://hal.archives-ouvertes.fr/hal-01826578v2/file/MIMO_AICT18_CR.pdf
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10
Apprentissage de Bandit Multi-Bras dans les réseaux Internet des Objets: l'apprentissage est utile même dans des cas non-stationnaires
Autor: Bonnefoi, Rémi, Besson, Lilian, Moy, Christophe, Kaufmann, Emilie, Palicot, Jacques
Publikováno v: CROWNCOM 2017-12th EAI International Conference on Cognitive Radio Oriented Wireless Networks
CROWNCOM 2017-12th EAI International Conference on Cognitive Radio Oriented Wireless Networks, Sep 2017, Lisbon, Portugal. pp.173-185, ⟨10.1007/978-3-319-76207-4_15⟩
International audience; 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
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::58cd45b860a54d2f880b1f90dd202aca
https://hal.science/hal-01575419
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