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Your search keyword '"Salah Eddine Elayoubi"' showing total 254 results
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254 results on '"Salah Eddine Elayoubi"'

251. Real options for investment decisions in mobile TV infrastructure

Author

Amal Abdel Razzac, Linda Salahaldin, Tijani Chahed, Salah-Eddine Elayoubi, Yezekael Hayel, Département Réseaux et Services de Télécommunications (RST), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Centre National de la Recherche Scientifique (CNRS), Département Management, Marketing et Stratégie (MMS), Télécom Ecole de Management (TEM)-Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom Business School (IMT-BS), Institut Mines-Télécom [Paris] (IMT), Laboratoire en Innovation, Technologies, Economie et Management (EA 7363) (LITEM), Université d'Évry-Val-d'Essonne (UEVE)-Télécom Ecole de Management (TEM), Méthodes et modèles pour les réseaux (METHODES-SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Orange Labs [Issy les Moulineaux], France Télécom, Laboratoire Informatique d'Avignon (LIA), Avignon Université (AU)-Centre d'Enseignement et de Recherche en Informatique - CERI, Télécom SudParis & Institut Mines-Télécom Business School, Médiathèque, Département Réseaux et Services de Télécommunications (TSP - RST), and Département Management, Marketing et Stratégie (IMT-BS - MMS)

Subjects
[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], [SHS.GESTION]Humanities and Social Sciences/Business administration, [SHS.GESTION] Humanities and Social Sciences/Business administration
Abstract

International audience; This work presents a strategic investment framework for mobile TV infrastructure. We address the question of whether an operator should enter the mobile TV market and, if yes, when to do so. We consider a realistic setting where the mobile TV network is mainly relying on a DVB infrastructure whose coverage can be complemented by the cellular network. As several actors may be involved in this service setting, we consider a dynamic game theoretical framework combining real option theory with coalition games. We consider two main sources of uncertainty: user demand and network operation cost. We then propose a novel a bi-level dynamic programming algorithm that solves the underlying maximization problem. Our numerical results illustrate the decisions of both actors and the impact of the system parameters and the degree of uncertainty on the investment dates

252. Performance Evaluation of 5G Radio Configurations for Industry 4.0

Author

Mira Morcos, Meriem Mhedhbi, Ana Galindo-Serrano, Salah Eddine Elayoubi, Elayoubi, Salah Eddine, 5G for Smart Manufacturing - 5G-SMART - - H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)2019-06-01 - 2022-05-31 - 857008 - VALID, Orange Labs [Chatillon], Orange Labs, Laboratoire des signaux et systèmes (L2S), CentraleSupélec-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and European Project: 857008,H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT),5G-SMART(2019)

Subjects
Radio access network, Exploit, Industry 4.0, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Computer science, business.industry, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 05 social sciences, 050801 communication & media studies, 020206 networking & telecommunications, 02 engineering and technology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, Packet loss, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, Network deployment, Latency (engineering), Fifth-Generation (5G), System level simulations, business, 5G, Computer network, URLLC
Abstract

International audience; The future Radio Access Network (RAN) is being engineered to accommodate the emergence of Ultra Reliable Low Latency Communications (URLLC) and to handle the possible coexistence between URLLC and enhanced Mobile Broad Band (eMBB) services. To achieve this, new features are being implemented in the future RAN to fulfill the strict requirements of the URLLC traffic in terms of latency and reliability. In this paper, we exploit the radio frame features in the New Radio (NR) and evaluate the users' performances in Downlink (DL) scheme. We conduct extensive system level simulations in realistic network deployment considering the Industry 4.0 use case. We study the impact of 1) different radio configurations and 2) the dedication of a reserved bandwidth to the critical traffic, on the URLLC achieved user plane latency and packet loss probability. The coexistence of URLLC and eMBB traffic is also evaluated by measuring the eMBB users' throughput.

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253. Measurement-based admission control in UMTS

Author

Abed Ellatif Samhat, Salah Eddine Elayoubi, Tijani Chahed, and Mazen Tlais

Subjects
Engineering, business.industry, Code division multiple access, Call Admission Control, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, Real-time computing, Data_CODINGANDINFORMATIONTHEORY, Base station, Handover, Transmission (telecommunications), Telecommunications link, Cellular network, Electrical and Electronic Engineering, business, UMTS frequency bands, Computer network
Abstract

In this paper, we develop an efficient Call Admission Control (cac) algorithm forumts systems. We first introduce the expressions that we developed for Signal-to-Interference (sir) for both uplink and downlink, to obtain a novelcac algorithm that takes into account, in addition tosir constraints, the effects of mobility, coverage as well as the wired capacity behind the base station, for the uplink, and the maximal transmission power of the base station, for the downlink. As of its implementation, we investigate the measurement-based approach as a means to predict future, both handoff and new, call arrivals and thus manage different priority levels depending on a tunable coefficient. Compared to classicalcac algorithms, ourcac mechanism achieves better performance in terms of outage probability and QoS management.

254. Controlling impatience in cellular networks using QoE-aware radio resource allocation

Author

Philippe Robert, Christine Fricker, Fabrice Guillemin, Bruno Sericola, Salah Eddine Elayoubi, Laboratory of Information, Network and Communication Sciences (LINCS), Institut Mines-Télécom [Paris] (IMT)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Pierre et Marie Curie - Paris 6 (UPMC), Networks, Algorithms and Probabilities (RAP), Inria Paris-Rocquencourt, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), France Télécom Recherche & Développement (FT R&D), France Télécom, Dependability Interoperability and perfOrmance aNalYsiS Of networkS (DIONYSOS), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut Mines-Télécom [Paris] (IMT), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), and Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)

Subjects
Processor sharing, Fluid limit, business.industry, Computer science, Heavy load, 020206 networking & telecommunications, Radio resource, 02 engineering and technology, 01 natural sciences, Scheduling (computing), 010104 statistics & probability, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0202 electrical engineering, electronic engineering, information engineering, Cellular network, Traffic load, Quality of experience, 0101 mathematics, business, Computer network
Abstract

International audience; We consider in this paper an important Quality of Experience (QoE) indicator in cellular networks that is reneging of users due to impatience. We specifically consider a cell under heavy load conditions, modeled as a multiclass Processor Sharing system, and compute the reneging probability by using a fluid limit analysis. In order to enhance the user QoE, we propose a radio resource allocation control scheme that minimizes the global reneging rates. This control scheme is based on the $\alpha$-fair scheduling framework and adapts the scheduler parameter depending on the traffic load. While the proposed scheme is simple, our results show that it achieves important performance gains.

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