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Radio Coverage and Device Capacity Dimensioning Methodologies for IoT LoRaWAN and NB-IoT Deployments in Urban Environments

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  • Ghadah Aldabbagh

    (Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA)

  • Nikos Dimitriou

    (Institute of Informatics and Telecommunications, NCSR “Demokritos”, 15341 Athens, Greece)

  • Samar Alkhuraiji

    (Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Omaimah Bamasag

    (Computer Science Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
    Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA)

Abstract

This paper focuses on the study of IoT network deployments, in both unlicensed and licensed bands, considering LoRaWAN and NB-IoT standards, respectively. The objective is to develop a comprehensive and detailed network planning and coverage dimensioning methodology for assessing key metrics related to the achieved throughput and capacity for specific requirements in order to identify tradeoffs and key issues that are related to the applicability of IoT access technologies for representative use case types. This paper will provide a concise overview of key characteristics of IoT representative IoT access network standards that are considered for being deployed in unlicensed and licensed bands and will present a methodology for modeling the characteristics of both access network technologies in order to assess their coverage and capacity considering different parameters.

Suggested Citation

  • Ghadah Aldabbagh & Nikos Dimitriou & Samar Alkhuraiji & Omaimah Bamasag, 2021. "Radio Coverage and Device Capacity Dimensioning Methodologies for IoT LoRaWAN and NB-IoT Deployments in Urban Environments," Future Internet, MDPI, vol. 13(6), pages 1-12, May.
    • Handle: RePEc:gam:jftint:v:13:y:2021:i:6:p:144-:d:565564
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    References listed on IDEAS

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    1. Sotirios Kontogiannis & George Kokkonis & Soultana Ellinidou & Stavros Valsamidis, 2017. "Proposed Fuzzy-NN Algorithm with LoRaCommunication Protocol for Clustered Irrigation Systems," Future Internet, MDPI, vol. 9(4), pages 1-23, November.
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      Keywords

      IoT; LoRaWAN; NB-IoT; coverage; capacity;
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