University of Oulu

M. Asad Ullah, K. Mikhaylov and H. Alves, "Massive Machine-Type Communication and Satellite Integration for Remote Areas," in IEEE Wireless Communications, vol. 28, no. 4, pp. 74-80, August 2021, doi: 10.1109/MWC.100.2000477

Massive machine-type communication and satellite integration for remote areas

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Author: Asad Ullah, Muhammad1; Mikhaylov, Konstantin1; Alves, Hirley1
Organizations: 1Centre for Wireless Communications, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-09-22


Despite immense progress along different tracks, wireless connectivity for machine applications in remote areas is still very challenging. To address this vital need, in this article, we discuss and advocate the convergence between low-pow-er wide area network (LPWAN) grade massive machine-type communication (mMTC) wireless technologies and satellite (especially low Earth orbit, LEO) systems. In the article, we discuss the alternative implementation approaches allowing such convergence and highlight some of their pros, cons, and challenges. Furthermore, we obtain more in-depth insight into the matter by simulating and analyzing the LoRaWAN LPWAN sensors’ performance served by a LEO satellite-based gateway. Our results demonstrate the feasibility of such a system and illustrate some of the relevant trade-offs between the network configurations and communication performance. These results motivate us to take a more profound look at such systems and the challenges they introduce. We highlight some of them and the potential directions for further studies in the final sections.

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Series: IEEE wireless communications
ISSN: 1536-1284
ISSN-E: 1558-0687
ISSN-L: 1536-1284
Volume: 28
Issue: 4
Pages: 74 - 80
DOI: 10.1109/MWC.100.2000477
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research has been financially supported by the Academy of Finland 6Genesis Flagship (Grant no. 318927) and EE-IoT (no. 319008).
Academy of Finland Grant Number: 319008
Detailed Information: 319008 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
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