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
|Author:||Asad Ullah, Muhammad1; Mikhaylov, Konstantin1; Alves, Hirley1|
1Centre for Wireless Communications, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 1.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021092246773
Institute of Electrical and Electronics Engineers,
|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.
IEEE wireless communications
|Pages:||74 - 80|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
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 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
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