{"id":5432,"date":"2022-12-05T16:00:39","date_gmt":"2022-12-05T15:00:39","guid":{"rendered":"https:\/\/samovar.telecom-sudparis.eu\/?p=5432"},"modified":"2022-12-05T16:00:40","modified_gmt":"2022-12-05T15:00:40","slug":"avis-de-soutenance-de-madame-nathalie-naddeh","status":"publish","type":"post","link":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/2022\/12\/05\/avis-de-soutenance-de-madame-nathalie-naddeh\/","title":{"rendered":"AVIS DE SOUTENANCE de Madame Nathalie NADDEH"},"content":{"rendered":"\n

L’Ecole doctorale : Ecole Doctorale de l’Institut Polytechnique de Paris et le Laboratoire de recherche SAMOVAR – Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seaux<\/strong>pr\u00e9sentent<\/p>\n\n\n\n

l\u2019AVIS DE SOUTENANCE de Madame Nathalie NADDEH<\/h2>\n\n\n\n

Autoris\u00e9e \u00e0 pr\u00e9senter ses travaux en vue de l\u2019obtention du Doctorat de l’Institut Polytechnique de Paris, pr\u00e9par\u00e9 \u00e0 T\u00e9l\u00e9com SudParis en :<\/p>\n\n\n\n

R\u00e9seaux, Informations et Communications<\/h2>\n\n\n\n

\u00ab Impact du slicing sur la gestion des ressources radio en 5G pour les URLLC v\u00e9hiculaires et eMBB \u00bb<\/h1>\n\n\n\n

le mardi 13 d\u00e9cembre 2022 \u00e0 14h00<\/p>\n\n\n\n

Amphi Estauni\u00e9
Institut Mines-Telecom 19 place Marguerite Perey 91120 Palaiseau France<\/p>\n\n\n\n

Membres du jury :<\/strong><\/p>\n\n\n\n

M. Tijani CHAHED<\/strong>, Professeur, T\u00e9l\u00e9com SudParis, FRANCE – Directeur de th\u00e8se
Mme Sana BEN JEMAA<\/strong>, Ing\u00e9nieure de recherche, Orange Labs, FRANCE – Co-encadrante de th\u00e8se
Mme Kinda KHAWAM<\/strong>, Ma\u00eetresse de conf\u00e9rences, Universit\u00e9 de Versailles St-Quentin en Yvelines, FRANCE – Rapporteure
Mme Thi-Mai-Trang NGUYEN<\/strong>, Professeure des universit\u00e9s, Universit\u00e9 Sorbonne Paris Nord, FRANCE – Rapporteure
M. Loutfi NUAYMI<\/strong>, Professeur, IMT Atlantique, FRANCE – Examinateur
M. Walid BEN-AMEUR<\/strong>, Professeur, Telecom SudParis, FRANCE – Examinateur<\/p>\n\n\n\n

R\u00e9sum\u00e9 :<\/strong><\/p>\n\n\n\n

La 5G-NR (Fifth Generation-New Radio) a introduit le concept de slicing pour cibler diff\u00e9rents types de services. Nous consid\u00e9rons dans cette th\u00e8se le trafic v\u00e9hiculaire, les v\u00e9hicules envoyant deux types de flux : eMBB ( enhanced Mobile BroadBand ) et URLLC ( Ultra-Reliable and Low Latency Communications ). Ces flux sont achemin\u00e9s en deux slices diff\u00e9rents, la premi\u00e8re cherchant \u00e0 garantir et\/ou maximiser le d\u00e9bit, tandis que la seconde doit r\u00e9pondre \u00e0 de fortes contraintes de QoS( Quality of Service ) en termes de d\u00e9lai, de l’ordre de 1ms, et de fiabilit\u00e9, sur de l’ordre de 99.999%. Ces slices avec des profils de trafic et des exigences de QoS h\u00e9t\u00e9rog\u00e8nes doivent partager la m\u00eame infrastructure physique. Cette th\u00e8se vise \u00e0 proposer de nouveaux sch\u00e9mas d’allocation de ressources pour satisfaire les exigences strictes de qualit\u00e9 de service de l’URLLC sans impacter trop le trafic eMBB. L’un des principaux d\u00e9fis est le moment o\u00f9 les ressources initialement r\u00e9serv\u00e9es \u00e0 l\u2019eMBB doivent \u00eatre allou\u00e9es \u00e0 l’arriv\u00e9e de nouveaux flux URLLC. En raison de l’utilisation de diff\u00e9rentes num\u00e9rologies, ces ressources doivent \u00eatre reconfigur\u00e9es, ce qui ajoute un d\u00e9lai suppl\u00e9mentaire de l’ordre de 80 ms, ce qui d\u00e9passe le budget de d\u00e9lai URLLC. Pour r\u00e9pondre \u00e0 ce probl\u00e8me de d\u00e9lai, nous proposons des sch\u00e9mas proactifs de r\u00e9servation de ressources pour URLLC qui anticipent l’arriv\u00e9e des v\u00e9hicules dans une cellule et (re-)configurent la tranche avant leur arriv\u00e9e effective dans la cellule. Ces approches permettent de r\u00e9pondre aux exigences de d\u00e9lai et de d\u00e9bit du trafic URLLC et eMBB des v\u00e9hicules, respectivement. Nous introduisons en outre un mod\u00e8le de dimensionnement inter-slice qui prend en compte les conditions radio et les trajectoires de l’utilisateur dans le r\u00e9seau, ce qui permet de prendre en compte les MCS ( Modulation and Coding Scheme ) des utilisateurs. Ce faisant, nous obtenons une meilleure allocation des ressources gr\u00e2ce \u00e0 une optimisation plus fine. Nos r\u00e9sultats montrent que nous sommes en mesure de satisfaire les exigences de trafic avec une meilleure utilisation des ressources. Finalement, nous \u00e9tudions un mod\u00e8le de dimensionnement alternatif bas\u00e9 sur des bornes de grande d\u00e9viation. Nous analysons la queue du syst\u00e8me correspondant \u00e0 la r\u00e9gion de perte URLLC. Nous consid\u00e9rons deux approches : avec et sans mise en file d’attente de paquets. Nous observons que les grandes limites d’\u00e9cart entra\u00eenent une surr\u00e9servation l\u00e9g\u00e8rement sup\u00e9rieure \u00e0 l’approche susmentionn\u00e9e lorsqu’elle est appliqu\u00e9e \u00e0 l’URLLC, avec l’avantage du calcul instantan\u00e9 des ressources n\u00e9cessaires.<\/p>\n\n\n\n


Abstract : \u00ab\u00a0Impact of slicing on radio resource management in 5G for vehicular URLLC and eMBB\u00a0\u00bb<\/strong><\/p>\n\n\n\n

The Fifth Generation-New Radio (5G-NR) introduced the concept of slicing to target different types of services. We consider in this thesis vehicular traffic, with vehicles sending two types of flows: enhanced Mobile BroadBand (eMBB) and Ultra-Reliable and Low Latency Communications (URLLC). These flows are transported in two different slices, the former trying to guarantee and\/or maximize the throughput, while the latter has to meet stringent Quality of Service (QoS) constraints in terms of delay, on the order of 1ms, and reliability, on the order of 99,999%. These slices with heterogeneous traffic profiles and QoS requirements must share the same physical infrastructure. This thesis aims to propose new resource allocation schemes to satisfy URLLC stringent QoS requirements without impacting too much eMBB traffic. One main challenge is when resources initially reserved for eMBB must be allocated to the arrival of new URLLC flow. Due to using different numerologies, these resources need to be reconfigured, adding extra delay on the order of 80ms, which exceeds the URLLC delay budget. To respond to this delay problem, we propose proactive resource reservation schemes for URLLC which anticipates the vehicles’ arrival in a cell and (re-)configures the slice before their effective arrival in the cell. These approaches enable to meet the delay and throughput requirements of vehicular URLLC and eMBB traffic, respectively. We additionally introduce an inter-slice dimensioning model that considers user’s radio conditions and trajectories in the network, which enables taking into consideration users Modulation and Coding Schemes (MCS). By doing so, we achieve a better resource allocation through finer optimization. Our results show that we are able to satisfy traffic requirements with a better resource utilization. Eventually, we investigate an alternative dimensioning model based on large deviation bounds. We analyze the tail of the system corresponding to the URLLC outage region. We consider two approaches: with and without packet queuing. We observe that large deviation bounds result in slightly more over-reservation than the aforementioned approach when applied to URLLC, with the advantage of instantaneous computation of the needed resources.<\/p>\n","protected":false},"excerpt":{"rendered":"

L’Ecole doctorale : Ecole Doctorale de l’Institut Polytechnique de Paris et le Laboratoire de recherche SAMOVAR – Services r\u00e9partis, Architectures, MOd\u00e9lisation, Validation, Administration des R\u00e9seauxpr\u00e9sentent l\u2019AVIS DE SOUTENANCE de Madame Nathalie NADDEH Autoris\u00e9e \u00e0 pr\u00e9senter ses travaux en vue de l\u2019obtention du Doctorat de l’Institut Polytechnique de Paris, pr\u00e9par\u00e9 \u00e0 T\u00e9l\u00e9com SudParis en : R\u00e9seaux, 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