End-to-End Uplink Performance Analysis of Satellite-Based IoT Networks: A Stochastic Geometry Approach

TL;DR

This paper analyzes the uplink performance of satellite-based IoT networks using stochastic geometry, providing insights into how constellation design and device positioning affect connectivity in remote areas.

Contribution

It introduces a stochastic geometry model for LEO satellite constellations and derives analytical expressions for end-to-end availability and coverage performance.

Findings

Constellation configuration significantly impacts coverage.

Transmission power influences end-to-end availability.

Device and satellite positioning affect network performance.

Abstract

With the deployment of satellite constellations, Internet-of-Things (IoT) devices in remote areas have gained access to low-cost network connectivity. In this paper, we investigate the performance of IoT devices connecting in up-link through low Earth orbit (LEO) satellites to geosynchronous equatorial orbit (GEO) links. We model the dynamic LEO satellite constellation using the stochastic geometry method and provide an analysis of end-to-end availability with low-complexity and coverage performance estimates for the mentioned link. Based on the analytical expressions derived in this research, we make a sound investigation on the impact of constellation configuration, transmission power, and the relative positions of IoT devices and GEO satellites on end-to-end performance.