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Optimisation des réseaux hybrides Broadcast/Broadband pour la fourniture de services linéaires à l'aide de la géométrie stochastique

Abstract : Modern mobile devices are able to connect to different types of networks to receive services such as mobile TV and multimedia streaming. This includes cellular Broadband (BB) networks like Long Term Evolution (LTE) and 5GNew Radio (5G-NR), and terrestrial Broadcast (BC) networks like Digital Video Broadcast (DVB). Yet each type suffers from limitations like the power efficiency in BC and limited spectral resources in BB. The hybrid network concept, the collaboration of two or more networks, emerged to overcome such drawbacks. In this context, we aim to explore the possibilities for delivering modern resource demanding services like the multimedia stream and mobile TV through conventional and hybrid networks. The first part of the thesis introduces the mobile TV system, opportunities, and challenges. It surveys the conventional and hybrid means of the delivery of multimedia streams and the contributions of the scientific community in this aspect. This is followed by a brief introduction to stochastic geometry and the models used in the thesis. The second part introduces a hybrid BC/BB network where Unicast (UC) is used for the BB network and a single BC transmitter (BCT) is used for the BC network. The model is then generalized to include multiple BCTs. In both cases, expressions for coverage and efficiency are derived, and then used to optimize the network settings. The third part introduces Multicast (MC) for BB networks, and derives expressions for coverage for a Single Frequency Network (SFN) deployment. Then, a BC/MC network model is analyzed. Finally, the fourth part introduces some practical issues like resource management and energy consumption, and solutions such as a dedicated resource allocation scheme.
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Ahmad Shokair. Optimisation des réseaux hybrides Broadcast/Broadband pour la fourniture de services linéaires à l'aide de la géométrie stochastique. Autre. INSA de Rennes; Université libanaise, 2019. Français. ⟨NNT : 2019ISAR0025⟩. ⟨tel-02908237⟩

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