Computational stochastic geometry – on system-level modeling, simulation, performance evaluation, optimization, and experimental validation of 5g wireless communication networks

Abstract : The fifth-generation (5G) is coming. Quo vadis 5G? What architectures, network topologies and technologies will define 5G? Are methodologies to the analysis, design and optimization of current cellular networks still applicable to 5G? The proposed tutorial is intended to offer a comprehensive and in depth crash course to communication professionals and academics. It is aimed to critically illustrate and discuss essential and enabling transmission technologies, communication protocols and architectures that are expected to make 5G wireless communication networks a reality. More specifically, the present tutorial is focused on illustrating the critical and essential importance of spatial models for an accurate system-level analysis and optimization of 5G networks, which are expected to use different frequency bands compared to state-of-the-art networks and to rely on a much denser deployment of access points and antenna-elements, to a scale that has never been observed in the past.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01880193
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Submitted on : Monday, September 24, 2018 - 3:41:58 PM
Last modification on : Friday, February 1, 2019 - 2:32:02 PM

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Marco Di Renzo. Computational stochastic geometry – on system-level modeling, simulation, performance evaluation, optimization, and experimental validation of 5g wireless communication networks. 2015 International Conference on Communications, Management and Telecommunications (ComManTel), Dec 2015, DaNang, Vietnam. ⟨10.1109/ComManTel.2015.7394226⟩. ⟨hal-01880193⟩

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