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Utilisation de la radio intelligente pour un réseau mobile à faible consommation d’énergie

Abstract : 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, are nowadays an important energy consumer. It is, thus, necessary to optimize their behavior in order to reduce their carbon footprint. On the other hand, some communication networks are necessary to better manage the electrical grid. Thanks to this better management, it is possible to improve the proportion of electricity produced by renewable energy sources.In this thesis, we look at both aspects. In a first step, we propose a solution to reduce the energy consumption of wireless mobile networks. For that purpose, we propose algorithms that optimize the power allocation when Cell Discontinuous Transmission is used by the base stations.In a second step, we propose a solution in order to improve the performance of Internet of Things networks used for the electrical grid. More precisely, we use multi-armed bandit algorithm for channel selection in IoT networks as a means of increasing the reliability of communications.
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Submitted on : Wednesday, February 26, 2020 - 5:01:43 PM
Last modification on : Wednesday, April 27, 2022 - 4:26:23 AM
Long-term archiving on: : Wednesday, May 27, 2020 - 7:44:43 PM


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  • HAL Id : tel-02492175, version 1


Rémi Bonnefoi. Utilisation de la radio intelligente pour un réseau mobile à faible consommation d’énergie. Traitement du signal et de l'image [eess.SP]. CentraleSupélec, 2018. Français. ⟨NNT : 2018CSUP0001⟩. ⟨tel-02492175⟩



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