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Narrowband IoT Evolution Towards 5G Massive MTC: Complete Performance Evaluation

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Digital Technologies and Applications (ICDTA 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 211))

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Abstract

As the emergence of the 5G wireless network is expected to significantly revolutionize the domain of communication, its design should consider the Internet of Things (IoT) among the principal orientations to support the massive Machine-Type Communication (mMTC). The emerging IoT applications supporting mMTC, need new requirements other than throughput such as coverage, latency, power consumption and connection density. To this purpose, the third Generation Partnership Project (3GPP) has introduced a novel cellular IoT technology known as Narrowband IoT (NB-IoT). This paper aims to determine the NB-IoT system configuration and deployment required to fully meet the 5G mMTC requirements. A complete performance evaluation of NB-IoT against the 5G mMTC requirements is presented. It is shown through the simulation results that these requirements can be met but under certain conditions relating to the system configuration and its deployment.

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Authors and Affiliations

  1. Mohammed First University Oujda, National School of Applied Sciences, SmartICT Lab, Oujda, Morocco

    Adil Abou El Hassan, Abdelmalek El Mehdi & Mohammed Saber

Authors
  1. Adil Abou El Hassan
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  2. Abdelmalek El Mehdi
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  3. Mohammed Saber
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Corresponding author

Correspondence to Adil Abou El Hassan .

Editor information

Editors and Affiliations

  1. ENSA, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Saad Motahhir

  2. Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Badre Bossoufi

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Abou El Hassan, A., El Mehdi, A., Saber, M. (2021). Narrowband IoT Evolution Towards 5G Massive MTC: Complete Performance Evaluation. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2021. Lecture Notes in Networks and Systems, vol 211. Springer, Cham. https://doi.org/10.1007/978-3-030-73882-2_24

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