[C25] On the Analytical Error Performance of LoRa-Based LEO Satellite IoT

Recently, Long-Range (LoRa)-based low Earth orbit (LEO) satellite Internet-of-Things (IoT) has been recognized as a key enabler to provide ubiquitous connectivity for the Internet of remote things. A rigorous error performance analysis of such a new paradigm is quite essential for its practical implementation and evaluation. In this paper, we propose a novel analytical framework for quantitatively characterizing the error performance of LoRa-based LEO satellite IoT systems by leveraging an empirically-verified satellite-to-ground channel model, where both the channel characteristics of near-Earth satellite communications and the waveform properties of LoRa modulation are considered. Moreover, to enable a practical analysis, inter-end device interference is taken into account in the presence of both time and frequency offsets. Based on this, closed-form symbol and bit error rate expressions are derived by approximating the impact of the overall interference distributed within the decision metrics to that of the peak interference. Numerical simulations not only validate our theoretical analysis but also provide further insights into the error performance improvements of LoRa-based LEO satellite IoT systems.

Recommended citation: 1. Q. Yu, D. Mishra, H. Wang, D. He, J. Yuan, and M. Matthaiou, "On the Analytical Error Performance of LoRa-Based LEO Satellite IoT," in Proc. 2025 IEEE Global Communications Conference (GLOBECOM), Taipei, China, 2025, pp. 3567-3572.
Download Paper