TY  - JOUR
T1  - Analysis on the Visibility and Connectivity of LoRa Based LEO Satellite Networks Using Stochastic Geometry
AU  - Jung, Sooyeob 
AU  - Ryu, Joon Gyu 
AU  - Lee, Junse 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2024
DA  - 2024/1/1
DO  - 10.7840/kics.2024.49.1.50
KW  - 저궤도 위성 네트워크
KW  - 확률기하학
KW  - 네트워크 분석
AB  - 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.