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Modeling D2D-Enhanced IoT Connectivity: An Approach Through the Simplified Analytical Framework

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Distributed Computer and Communication Networks (DCCN 2020)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 12563))

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Abstract

In the light of the proliferation of the Internet of Things (IoT), the device-to-device (D2D) communication is becoming a promising technology and a key enabler for enhancing the energy efficiency of the wireless network environment and reducing the traffic latency between user equipments (UEs) within their communication range. This papers considers one simplified analytical framework for modeling of communication offloading scenario within the D2D communications underlying cellular network, in which a UE generates a session toward another UE in the same cell. The model aims to improve the system capacity and energy-efficiency by offloading cellular traffic onto D2D communications, when the source and destination UEs are proximate enough to satisfy their QoS requirements.

The publication has been prepared with the support of the “RUDN University Program 5-100” and funded by RFBR according to the research project number 20-07-00804 (recipient T.A. Milovanova, mathematical model development, numerical analysis) and project number 19-29-06043 (recipient D.V. Kozyrev, formal analysis, validation). Numerical experiment was carried out using the infrastructure of the shared research facilities CKP “Informatics” of the FRC CSC RAS [14].

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Notes

  1. 1.

    With the other UE, i.e. whenever an infrastructure or a D2D link is busy, it is busy simultaneously by 2 UEs.

  2. 2.

    D(t) is the total number of UE pairs, connected through the D2D links; I(t) is the total number of UE pairs, connected through the infrastructure links.

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Author information

Authors and Affiliations

  1. Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Street, Moscow, 117198, Russian Federation

    Tatiana Milovanova & Dmitry Kozyrev

  2. V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, 65 Profsoyuznaya Street, Moscow, 117997, Russian Federation

    Dmitry Kozyrev

Authors
  1. Tatiana Milovanova
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  2. Dmitry Kozyrev
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Corresponding author

Correspondence to Dmitry Kozyrev .

Editor information

Editors and Affiliations

  1. Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia

    Vladimir M. Vishnevskiy

  2. RUDN University, Moscow, Russia

    Konstantin E. Samouylov

  3. Institute of Control Sciences of the Russian Academy of Sciences, Moscow, Russia

    Dmitry V. Kozyrev

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Milovanova, T., Kozyrev, D. (2020). Modeling D2D-Enhanced IoT Connectivity: An Approach Through the Simplified Analytical Framework. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds) Distributed Computer and Communication Networks. DCCN 2020. Lecture Notes in Computer Science(), vol 12563. Springer, Cham. https://doi.org/10.1007/978-3-030-66471-8_50

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  • DOI: https://doi.org/10.1007/978-3-030-66471-8_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66470-1

  • Online ISBN: 978-3-030-66471-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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