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Contribution à la radio intelligente à forte mobilité : adaptation spectrale et allocation dynamique des ressources

Kais Bouallegue 1, 2 
2 COMNUM - IEMN - COMmunications NUMériques - IEMN
IEMN-DOAE - Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520
Abstract : The main objectives of railway operators are to increase safety, reduce operating and maintenance costs, increase attractiveness and profit by offering new services to customers. These objectives will be achieved through a huge increase of data fluxes between existing infrastructure and the technologies currently used on the train. Spectral efficiency, optimization of radio resources, interoperability and reliability of communications are major elements for railway applications. These constraints and the sporadic use of available frequency bands have gave rise to cognitive radio. Cognitive radio is an emerging technology that improves the performance of existing radio systems by integrating artificial intelligence with software radio. A cognitive radio system is defined by its ability to be aware of its radio environment. Indeed, to optimize as much as possible the available spectral opportunities, the cognitive radio device must be able to transmit on free bands while performing a spectrum sensing to not interfere with users having priority on the band and to detect other vacant frequencies. As part of this thesis, we propose to focus on the problem of spectrum detection in a highly mobile environment. Some constraints should be considered, such as speed. Added to this, there are regulatory constraints on detection criteria, such as the IEEE 802.22 WRAN standard, which stipulates that detection of a priority user must be performed at -21 dB within a period of 2 seconds. The objective is therefore to design an intelligent radio terminal in the physical and regulatory conditions of transmission in a railway environment.
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Submitted on : Thursday, September 30, 2021 - 4:01:58 PM
Last modification on : Wednesday, March 23, 2022 - 3:51:15 PM

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  • HAL Id : tel-03360123, version 1


Kais Bouallegue. Contribution à la radio intelligente à forte mobilité : adaptation spectrale et allocation dynamique des ressources. Acoustique [physics.class-ph]. Université de Valenciennes et du Hainaut-Cambrésis, 2017. Français. ⟨NNT : 2017VALE0023⟩. ⟨tel-03360123⟩



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