A Hybrid Network Model Embracing NB-IoT and D2D Communications: Stochastic Geometry Analysis

  • Athanase M. AtchomeEmail author
  • Hafiz Husnain Raza Sherazi
  • Rodrigue Alahassa
  • Frantz Tossa
  • Thierry O. Edoh
  • Luigi Alfredo Grieco
  • Antoine C. Vianou
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 311)


A narrow-band system introduced in Release 13 of 3GPP has recently gain momentum to support a range of IoT use-cases. Narrowband-Internet of Things (NB-IoT) comes with low-cost devices characterized by extremely low power consumption, offering a battery life of more than 10 years, and broad radio coverage to target tens of kilometers, but on the cost of low data rate and higher end-to-end latency. NB-IoT can be deployed in three different modes of operation; stand-alone, in-band, and within the guard-band of existing LTE carrier. In this paper, a hybrid network model embracing both NB-IoT and D2D technologies has been introduced. we first present an analytical framework to derive analytical rate expressions for D2D in NB-IoT networks. Then, the performance gains of network model are investigated through numerical evaluations that demonstrate the superiority of proposed model over the traditional NB-IoT network.


NB-IoT networks Cellular networks Spectrum sharing Stochastic geometry 


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2020

Authors and Affiliations

  • Athanase M. Atchome
    • 1
    Email author
  • Hafiz Husnain Raza Sherazi
    • 2
  • Rodrigue Alahassa
    • 3
  • Frantz Tossa
    • 1
  • Thierry O. Edoh
    • 4
  • Luigi Alfredo Grieco
    • 2
  • Antoine C. Vianou
    • 1
  1. 1.Ecole Doctorale Des Sciences de l’Ingénieur (ED-SDI)/UACCotonouBenin
  2. 2.Department of Electrical and Information EngineeringPolitecnico di BariBariItaly
  3. 3.Institut de Mathématiques et de Sciences Physiques(IMSP)/UACPorto-NovoBenin
  4. 4.RFW-Universität of BonnTechnische Universität MünchenMunichGermany

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