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Your search keyword '"A. H. El Fawal"' showing total 2 results
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2 results on '"A. H. El Fawal"'

1. CTMC Modeling for M2M/H2H Coexistence in a NB-IoT Adaptive eNodeB

Author

Ali Mansour, Mohamad Najem, F. Le Roy, A. H. El Fawal, D. Le Jeune, Lab-STICC_ENSTAB_CACS_COM, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT), École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), and Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)

Subjects
CTMC, Markov chain, business.industry, Computer science, Network adaptation, 020206 networking & telecommunications, 02 engineering and technology, eNodeB, LTE-A, 01 natural sciences, 010309 optics, H2H, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Resource (project management), EnodeB, Bandwidth reservation, NB-IoT, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, Bandwidth (computing), M2M, Internet of Things, business, Computer network
Abstract

International audience; The next generation of mobile systems are expected to support the new promising Machine-to-Machine (M2M) tech-nology carried by the advance of Internet of Things (IoT) devices. In the near future, an exponential growth of the number of M2M devices is expected due to their ubiquity. In normal situations, a limited bandwidth in Narrow Band-Internet of Things (NB-IoT) technology may help in improving IoT requirements effectively. However, in emergency and disastrous moments, M2M expected storms lead inevitably to network saturations.In this manuscript, we propose a novel Adaptive eNodeB (A-eNB), which solves the network overload problem gradually, while keeping Human-to-Human (H2H) traffic not to be affected dreadfully. The network adaptation is provided through a dynamic NB-IoT bandwidth reservation aiming to increase the number of M2M connections accessing NB-IoT network with minimal overload congestion problems.A Continuous-Time Markov Chain (CTMC) is proposed helping the H2H/M2M coexistence to become more approachableespecially during disaster scenarios. Our results show that by leasing 18 resource blocks using an A-eNB for NB-IoT traffic can result a completion rate of 98% on M2M traffic throughout emergency scenarios.

Published
2018
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2. LTE-M adaptive eNodeB for emergency scenarios

Author

Mohamad Najem, F. Le Roy, Ali Mansour, A. H. El Fawal, D. Le Jeune, Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC), Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL), Lab-STICC_ENSTAB_CACS_COM, Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-Institut Mines-Télécom [Paris] (IMT)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Pôle STIC_IDM, École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne), ADAptive Computing (ADAC), Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), and Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)

Subjects
Scheme (programming language), IoT, LPWAN, Computer science, 02 engineering and technology, eNodeB, LTE-A, LTE-M, H2H, [SPI]Engineering Sciences [physics], EnodeB, 0203 mechanical engineering, NB-IoT, Overload Congestion Mechanism, 0202 electrical engineering, electronic engineering, information engineering, Bandwidth (computing), M2M, computer.programming_language, business.industry, Quality of service, ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS, 020206 networking & telecommunications, 020302 automobile design & engineering, SimuLTE, Term (time), LTE Advanced, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, computer, Computer network
Abstract

International audience; The next generation of mobile systems must provide a balancing strategy towards M2M (Machine-to-Machine) traffic, while maintaining a sustainable Quality of Service (QoS) for H2H (Human-to-Human) traffic, especially with the expected exponential growth of the number of M2M devices in the coming years carried by the advance of the IoT (Internet of Things) technology. In normal situations, it is obvious that using a 1.4 MHz bandwidth in Long Term Evolution for Machines (LTE-M), helps in improving M2M device complexity, cost and battery life effectively. However, in emergency scenarios, an expected M2M storm will lead inevitably to a fast resource depletion accompanied by an eNodeB congestion in a split second. In this manuscript, we propose a novel scheme "LTE-M Adaptive eNodeB", which gradually solves the eNodeB overload problem, while keeping the H2H traffic QoS not to be affected badly. Moreover, We adaptively manage network resources to allow both traffic to efficiently access the LTE network via SimuLTE open-source modeler. Eventually, an evaluation of the mutual impact of M2M and H2H coexistence is also presented.

Published
2017
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