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Optimisation de la Topologie des Réseaux Sans Fils

Abstract : The wireless telecommunication sector is presently facing a tremendous growth of demand for higher data rates, driven by the development of mobile data services. This development makes the available spectrum scarcer and scarcer and requires solutions in order to optimize the use of its limited resources.The main challenge wireless networks are facing is to maximize availability, resiliency and Quality of Service, while minimizing costs and ensuring fair resource allocation among users.The present thesis will try to present solutions to these issues and will focus on three topics.On the first topic, the purpose is to find the ring-based topology which optimizes availability. It will be shown that algorithms which have been developed in the field of graph theory can be used efficiently to define in polynomial time the optimal ring network topology if the rings are small (two nodes in addition to the aggregation node). For bigger rings, the problem will be NP-hard. The second topic deals with polarization. We propose an innovative solution which can improve spectral efficiency in wireless ring networks by up to 50% in comparison with the state of the art. The proposed paradigm brings new perspectives regarding topology optimization and channel allocation.The third topic deals with resource allocation. We question the present approach based on optimization of network effciency. We show that this approach is similar to Bernoulli's expected utility model, which has been disproved by Allais' paradoxes. For this reason, we introduce the concept of unfairness aversion and consider the question of resource allocation as a trade-off between network efficiency and fairness.
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Submitted on : Monday, July 16, 2018 - 11:22:12 AM
Last modification on : Wednesday, July 1, 2020 - 2:30:03 PM
Long-term archiving on: : Wednesday, October 17, 2018 - 1:45:22 PM


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  • HAL Id : tel-01839956, version 1


Philippe Ezran. Optimisation de la Topologie des Réseaux Sans Fils. Autre. Université Paris-Saclay, 2018. Français. ⟨NNT : 2018SACLC014⟩. ⟨tel-01839956⟩



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