New Stochastic Geometry Approaches to the Modelling and Analysis of Low and High Frequency Wireless Communication Networks

Date : 19/12/2019
Catégorie(s) :
Lieu : CentraleSupelec (Gif-sur-Yvette) Amphi F3-06

Monsieur Xiaojun XI

Soutenance de thèse de doctorat le 19 Décembre 2019, 15h00 à CentraleSupelec (Gif-sur-Yvette) Amphi F3-06

Composition du jury:

M. Marco Di RenzoDirecteur de recherche-CNRSDirecteur de Thèse
Mme Maryline HelardProfesseur-IETRPrésident
M. Jalel Ben-OthmanProfesseur-CNRS-CentraleSupélec-Université Paris-Saclay and Université Paris 13Examinateur
M. Jean-Marie GorceProfesseur-INSA-LyonExaminateur
Mme Lina MrouehMaître de conférences-ISEPExaminateur
Mme Valeria LoscriChargé de recherche-Inria Lille-Nord EuropeExaminateur
M. Mustapha BenjillaliMaître de conférences-INPT-MarocRapporteur
M. Laurent ClavierProfesseur-Institut Mines-TelecomRapporteur

Abstract: In this thesis, we have developed new analytical frameworks for analyzing and optimizing future cellular networks with the aid of stochastic geometry and point processes. This thesis provides four main technical contributions.
First, we analyze emerging networks that can communicate by using light instead of radio waves. In this context, we propose an innovative analytical framework that allows us to estimate the coverage probability and the average rate of spatially distributed networks, which are used to gain insight for system optimization.
Second, we propose an innovative methodology for modeling spatially correlated cellular networks by using in-homogeneous point processes. The proposed approach is tested against practical deployment of cellular networks and found to be tractable and accurate. It is applied to the analysis of visible light communication networks, and the impact of spatial correlation is studied.
Third, we tackle the open problem of modeling Massive MIMO cellular networks. We study uplink and downlink cellular networks and propose new upper and lower bounds for the average spectral efficiency, which allow us to identify the optimal number of user to serve in each cell of the network and the impact of several key system parameters.
Fourth, we introduce and analyze the performance of a new interference-aware scheduling algorithm for application to the uplink of cellular networks. The proposed approach is based on muting some users in order to reduce the level of interference. The achievable performance and the user-fairness of the proposed approach are discussed and quantified analytically.

This PhD thesis is supported by the European Commission through the H2020-ETN-5Gaura project under grant 675806