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Performance Analysis of Enhancement Techniques for 3-D Cellular Networks

Abstract : With the explosive growth of mobile data demand, cellular networks have experienced several major evolutions, from the first generation to the present the fifth generation new radio cellular networks. These networks can cover a larger geographical area, with high network capacity, and low power consumption. For the next generation, the cellular networks consist in deploying a big number of small cells, such as femto-cells and picocells, which offers a lager zone of radio coverage. In fact, cell densification presents a simple and efficient solution to increase the network capacity, which relies on densely reusing the spectrum across a geographical area and hence brings base stations closer to users. Thus, the 3-D modeling and the performance enhancement of the increasingly heterogeneous cellular networks become important issues. The current thesis focuses on the study and the enhancement of 3-D cellular networks. The research work introduced in this thesis has two main axes. First, we focus on three-dimensional modeling of wireless communication networks. These models, not only describe the system when the blockages effect are neglected, but also capable of modeling the obstacles (such as buildings) in order to study their effect and propose solution to overcome. Second, new transmission schemes are proposed to enhance the performances of the urban wireless communication systems.
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Contributor : Soumaya Bachtobji <>
Submitted on : Monday, January 20, 2020 - 11:09:10 AM
Last modification on : Tuesday, March 31, 2020 - 3:20:52 PM


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Soumaya Bachtobji. Performance Analysis of Enhancement Techniques for 3-D Cellular Networks. Signal and Image Processing. UNIVERSITÉ DU MANS; UNIVERSITÉ TUNIS ELMANAR, 2019. English. ⟨tel-02445442⟩



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