Enhancing LR-FHSS Scalability Through Advanced Sequence Design and Demodulator Allocation

TL;DR

This paper proposes advanced sequence design and demodulator strategies to significantly improve the scalability of LR-FHSS for IoT satellite communications, validated through extensive simulations.

Contribution

It introduces novel FHS mechanisms using Wide-Gap sequences and two demodulator allocation strategies, enhancing LR-FHSS scalability for massive IoT connectivity.

Findings

Wide-Gap sequences improve frequency hopping efficiency

Early-Decode and Early-Drop strategies optimize resource utilization

Simulations demonstrate increased scalability and reliability

Abstract

The accelerating growth of the Internet of Things (IoT) and its integration with Low-Earth Orbit (LEO) satellites demand efficient, reliable, and scalable communication protocols. Among these, the Long-Range Frequency Hopping Spread Spectrum (LR-FHSS) modulation, tailored for LEO satellite IoT communications, sparks keen interest. This work presents a joint approach to enhancing the scalability of LR-FHSS, addressing the demand for massive connectivity. We deepen into Frequency Hopping Sequence (FHS) mechanisms within LR-FHSS, spotlighting the potential of leveraging Wide-Gap sequences. Concurrently, we introduce two novel demodulator allocation strategies, namely, ``Early-Decode" and ``Early-Drop," to optimize the utilization of LoRa-specific gateway decoding resources. Our research further validates these findings with extensive simulations, offering a comprehensive look into the future potential of LR-FHSS scalability in IoT settings.