{"id":1310,"date":"2020-06-23T10:46:00","date_gmt":"2020-06-23T08:46:00","guid":{"rendered":"https:\/\/samovar2022.int-evry.fr\/index.php\/2020\/06\/23\/allocation-de-ressources-et-partage-de-charge-adaptees-aux-architecture-de-reseaux-dacces-basees-sur-le-cloud-soutenance-de-these-de-mme-hadjer-touati\/"},"modified":"2020-09-04T18:45:16","modified_gmt":"2020-09-04T16:45:16","slug":"allocation-de-ressources-et-partage-de-charge-adaptees-aux-architecture-de-reseaux-dacces-basees-sur-le-cloud-soutenance-de-these-de-mme-hadjer-touati","status":"publish","type":"post","link":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/2020\/06\/23\/allocation-de-ressources-et-partage-de-charge-adaptees-aux-architecture-de-reseaux-dacces-basees-sur-le-cloud-soutenance-de-these-de-mme-hadjer-touati\/","title":{"rendered":"Allocation de Ressources et Partage de Charge adapt\u00e9es aux architecture de r\u00e9seaux d&rsquo;acc\u00e8s bas\u00e9es sur le cloud, soutenance de th\u00e8se de Mme Hadjer TOUATI"},"content":{"rendered":"<p> L&rsquo;Ecole doctorale : Ecole Doctorale de l&rsquo;Institut Polytechnique de Paris<br \/>\net le Laboratoire de recherche SAMOVAR pr\u00e9sentent<\/p>\n<h2>l\u2019AVIS DE SOUTENANCE de Madame Hadjer TOUATI<\/h2>\n<p>Autoris\u00e9e \u00e0 pr\u00e9senter ses travaux en vue de l\u2019obtention du Doctorat de l&rsquo;Institut Polytechnique de Paris, pr\u00e9par\u00e9 \u00e0 T\u00e9l\u00e9com SudParis en Math\u00e9matiques et Informatique<br \/>\n\u00ab Allocation de Ressources et Partage de Charge adapt\u00e9es aux architecture de r\u00e9seaux d&rsquo;acc\u00e8s bas\u00e9es sur le cloud \u00bb<\/p>\n<p><strong>le MARDI 7 JUILLET 2020 \u00e0 10h00<\/strong><\/p>\n<p>SOUTENANCE EN VISIOCONFERENCE &#8211; Dispositions exceptionnelles durant la crise sanitaire li\u00e9e au Covid19 : ordonnance n\u00b0 2020-351 du 27 mars 2020-Arr\u00eat\u00e9 NOR : ESRS2009945A<\/p>\n<p><strong>Membres du jury :<\/strong><\/p>\n<table>\n<tbody>\n<tr class='row_even'>\n<td>Mme Hind CASTEL-TALEB, PR2,<br \/>\nT\u00e9l\u00e9com SudParis, FRANCE<\/td>\n<td>Directrice de th\u00e8se<\/td>\n<\/tr>\n<tr class='row_odd'>\n<td>M. Pascal LORENZ, Professeur,<br \/>\nUniversit\u00e9 de Haute Alsace, FRANCE<\/td>\n<td>Rapporteur<\/td>\n<\/tr>\n<tr class='row_even'>\n<td>M. Adlen KSENTINI, Professeur,<br \/>\nEurecom, FRANCE<\/td>\n<td>Rapporteur<\/td>\n<\/tr>\n<tr class='row_odd'>\n<td>M. Marcelo DIAS AMORIM, Directeur de Recherche,<br \/>\nCNRS, FRANCE<\/td>\n<td>Examinateur<\/td>\n<\/tr>\n<tr class='row_even'>\n<td>Mme Lila BOUKHATEM, Ma\u00eetre de Conf\u00e9rences,<br \/>\nUniversit\u00e9 Paris 11 (LRI), FRANCE<\/td>\n<td>Examinatrice<\/td>\n<\/tr>\n<tr class='row_odd'>\n<td>M. Nazim AGHOULMINE, Professeur,<br \/>\nUniversit\u00e9 d&rsquo;Evry (IBISC), FRANCE<\/td>\n<td>Examinateur<\/td>\n<\/tr>\n<tr class='row_even'>\n<td>M. Badii JOUABER, Associate Professor,<br \/>\nT\u00e9l\u00e9com SudParis (R3S), FRANCE<\/td>\n<td>Codirecteur de th\u00e8se<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong> R\u00e9sum\u00e9 :<\/strong><\/p>\n<p>Au cours des cinq prochaines ann\u00e9es, la nouvelle g\u00e9n\u00e9ration des r\u00e9seaux de t\u00e9l\u00e9phonie mobile (5G) devrait faire face a une croissance significative du volume de donn\u00e9es, \u00e9chang\u00e9es entre des milliards d\u2019objets et d\u2019applications connectes. En outre, l\u2019\u00e9mergence de nouvelles technologies, telles que l\u2019Internet des objets (IoT), la conduite autonome et la r\u00e9alit\u00e9 augment\u00e9e, imposent des exigences plus \u00e9lev\u00e9es en termes de performances et de qualit\u00e9 de service (QoS). R\u00e9pondre aux exigences tout en r\u00e9duisant les d\u00e9penses d\u2019investissement et d\u2019exploitation (CAPEX \/ OPEX) sont les objectifs poursuivis par les op\u00e9rateurs de t\u00e9l\u00e9phonie mobile. Par cons\u00e9quent, les op\u00e9rateurs t\u00e9l\u00e9coms d\u00e9finissent une nouvelle architecture d\u2019acc\u00e8s radio, appel\u00e9e Cloud Radio Access Network (C-RAN). Le C-RAN propose de d\u00e9coupler la station de base en deux entit\u00e9s: la Remote Radio Head (RRH) sur laquelle seules les op\u00e9rations de signaux radio \u00e9lectriques sont ex\u00e9cut\u00e9es, et la Base Band Unit (BBU) ou le traitement de bande de base est execut\u00e9 de fa\u00e7on centralis\u00e9e. Ces deux unit\u00e9es sont interconnect\u00e9es via le Fronthaul (FH). Dans cette th\u00e8se, nous mod\u00e9lisons et \u00e9valuons les performances li\u00e9es au dimensionnement des RRH et du FH. Dans une premi\u00e8re partie, nous nous int\u00e9ressons \u00e0 la r\u00e9partition des ressources avec des m\u00e9canismes de coop\u00e9ration dans un contexte C-RAN et H-CRAN (Heterogeneous C-RAN). Les ressources offertes par le Cloud devront offrir les capacit\u00e9s de calcul \u00b4 n\u00e9cessaires pour les traitements requis pour manipuler ces d\u00e9bits et prendre les d\u00e9cisions n\u00e9cessaires de mani\u00e8re rapide, coop\u00e9rative, coordonn\u00e9e et distribu\u00e9e, et r\u00e9soudre en particulier les probl\u00e8mes radio tels que la gestion des interf\u00e9rences. Dans ce but, nous proposons des outils de dimensionnement en temps r\u00e9el pour la r\u00e9partition des ressources avec gestion des interf\u00e9rences, ce qui permet d\u2019offrir une meilleure stabilit\u00e9 du r\u00e9seau en maximisant le d\u00e9bit global. D\u2019autre part, \u00e9tant donn\u00e9 que les r\u00e9seaux cellulaires de nouvelle gen\u00e9ration ciblent des d\u00e9bits binaires plus \u00e9lev\u00e9s, des retards moins importants et une coordination amelior\u00e9e entre les cellules, des solutions \u00e0 plus haute capacit\u00e9 et \u00e0 plus faible latence sont n\u00e9cessaires sur le fronthaul. L\u2019utilisation de r\u00e9seaux Ethernet a commutation de paquets sur le FH avec une architecture C-RAN est a pr\u00e9sent envisag\u00e9e. Ils permettront de tirer profit des avantages du multiplexage statistique, de la r\u00e9utilisation des infrastructures et de la r\u00e9duction des co\u00fbts. Diff\u00e9rentes options de split de fronthaul sont proposees. Cependant, afin de satisfaire les exigences en termes de latence, la plupart des \u00e9tudes pr\u00e9conisent l\u2019utilisation d\u2019options de splits moins \u00e9lev\u00e9es, n\u00e9cessitant une capacit\u00e9 de liaison importante sur le FH. Afin de r\u00e9duire le co\u00fbt de d\u00e9ploiement des liaisons et des switchs Ethernet tout en r\u00e9pondant aux exigences strictes en mati\u00e8re de latence des r\u00e9seaux mobiles de nouvelle g\u00e9n\u00e9ration, nous proposons tout d\u2019abord une nouvelle d\u00e9composition des fonctionnalit\u00e9s entre les RRH et le BBU pool. Nous proposons ensuite un outil de dimensionnement en temps r\u00e9el permettant, en fonction du niveau du split et du type de trafic radio, de concevoir conjointement les r\u00e8gles de dimensionnement.<\/p>\n<p><strong>Abstract :<\/strong><\/p>\n<p>Over the next few years, the new fifth generation of mobile networks (5G) will face a significant growth in terms of data volumes and number of connected objects. Furthermore, with the emergence of new applications and services such as Internet of Things (IoT), Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Augmented Reality and Industry 4.0 higher performances are required in terms of reliability and Quality of Service (QoS). Meeting these requirements, while reducing the Capital and Operation Expenditures (CAPEX\/OPEX), are the pursued goals of the mobile operators. Consequently, Telcos defined a new radio access architecture, called Cloud\/ Centralized Radio Access Network (C-RAN). This latter proposes to split the base station into two parts: the Remote Radio Head (RRH) on which only Radio Frequency (RF) operations are executed, and the BaseBand Unit (BBU) where base band processing is performed. These two units are interconnected through a high-capacity\/ low-delay Fronthaul (FH) network. In this thesis, we focus on the C-RAN performances. We propose new modeling approaches allowing the analysis and the tuning of a set of parameters related to cell cooperation and Fronthaul transport. The first part of the thesis is dedicated to resource sharing with cooperation mechanisms in a C-RAN context and H-CRAN (Heterogeneous C-RAN). The resources offered by the Cloud will have to provide the necessary computing capabilities for the processing required to manipulate these flows and make the necessary decisions in a fast, cooperative, coordinated and distributed manner, and in particular to solve radio problems such as interference management. For this purpose, we offer real-time dimensioning tools for resource sharing with interference management, which provides better network stability by maximizing overall throughput. In the other hand, since next generation cellular networks are targeting higher bit rates, lower delays and enhanced inter-cell coordination, higher capacity and lower latency fronthaul solutions are required, among others. The use of Ethernet packet-switched networks for the fronthaul links with a C-RAN architecture are nowadays considered. These will allow leveraging statistical multiplexing gains, infrastructure reuse and cost reduction. Different fronthaul split options are proposed. However, in order to satisfy latency requirements, most of studies advocate the use of lower fronthaul split options, requiring huge fronthaul link capacity. In order to reduce the deployment cost of links and Ethernet switches of the fronthaul while satisfying the stringent latency requirements of next generation mobile networks, we first propose a new decomposition of the functionalities between the radio heads and the BBU pool. Next, we propose a real-time dimensioning tool that allows, according to the split level and the type of radio traffic, to jointly design the sizing rules.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>L&rsquo;Ecole doctorale : Ecole Doctorale de l&rsquo;Institut Polytechnique de Paris et le Laboratoire de recherche SAMOVAR pr\u00e9sentent l\u2019AVIS DE SOUTENANCE de Madame Hadjer TOUATI Autoris\u00e9e \u00e0 pr\u00e9senter ses travaux en vue de l\u2019obtention du Doctorat de l&rsquo;Institut Polytechnique de Paris, pr\u00e9par\u00e9 \u00e0 T\u00e9l\u00e9com SudParis en Math\u00e9matiques et Informatique \u00ab Allocation de Ressources et Partage de 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