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Communication dans un congrès

LTE-M adaptive eNodeB for emergency scenarios

Ahmad Hani El Fawal 1 Ali Mansour 2, 3 Mohamad Najem 4 Frédéric Le Roy 3 Denis Le Jeune 3
2 Lab-STICC_ENSTAB_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 Pôle STIC_IDM
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
4 ADAC - ADAptive Computing
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : 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.
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Soumis le : lundi 12 février 2018 - 15:42:58
Dernière modification le : mercredi 24 juin 2020 - 16:19:51
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Ahmad Hani El Fawal, Ali Mansour, Mohamad Najem, Frédéric Le Roy, Denis Le Jeune. LTE-M adaptive eNodeB for emergency scenarios. ICTC: Information and Communication Technology Convergence, Oct 2017, Jeju Island, South Korea. ⟨10.1109/ICTC.2017.8191035⟩. ⟨hal-01707168⟩

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