Analysis on the Visibility and Connectivity of LoRa Based LEO Satellite Networks Using Stochastic Geometry 


Vol. 49,  No. 1, pp. 50-56, Jan.  2024
10.7840/kics.2024.49.1.50


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  Abstract

Various applications through Low-Earth Orbit (LEO) satellite networks are considered in next-generation communication. Especially, IoT services using the broad coverage of low-orbit satellite networks have been widely considered in many areas. Long Range (LoRa) is an essential technique to compensate for the Doppler effect due to the fast mobility of LEO satellites or to support low-power communication for IoT services. This paper analyzes the visibility and connectivity of the network viewed from the user's perspective on the ground when the LoRa technique is applied to LEO satellite networks. We assume that the spreading factor, an essential physical layer parameter for LoRa-based communication, is determined based on the distance from the user. Then, we present analyses of the network environment experienced by the user using stochastic geometry. The main results provide intuitions on the interrelationship between network parameters and performances. Finally, we present some numerical results which verify that our analyses are consistent with the simulations.

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[IEEE Style]

S. Jung, J. G. Ryu, J. Lee, "Analysis on the Visibility and Connectivity of LoRa Based LEO Satellite Networks Using Stochastic Geometry," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 1, pp. 50-56, 2024. DOI: 10.7840/kics.2024.49.1.50.

[ACM Style]

Sooyeob Jung, Joon Gyu Ryu, and Junse Lee. 2024. Analysis on the Visibility and Connectivity of LoRa Based LEO Satellite Networks Using Stochastic Geometry. The Journal of Korean Institute of Communications and Information Sciences, 49, 1, (2024), 50-56. DOI: 10.7840/kics.2024.49.1.50.

[KICS Style]

Sooyeob Jung, Joon Gyu Ryu, Junse Lee, "Analysis on the Visibility and Connectivity of LoRa Based LEO Satellite Networks Using Stochastic Geometry," The Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 1, pp. 50-56, 1. 2024. (https://doi.org/10.7840/kics.2024.49.1.50)
Vol. 49, No. 1 Index