Enhancing LR-FHSS Scalability Through Advanced Sequence Design and Demodulator Allocation
<|reference_start|>Enhancing LR-FHSS Scalability Through Advanced Sequence Design and Demodulator Allocation: 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.<|reference_end|>
@article{maldonado2024enhancing,
    title={Enhancing LR-FHSS Scalability Through Advanced Sequence Design and
  Demodulator Allocation},
    author={Diego Maldonado, Megumi Kaneko, Juan A. Fraire, Alexandre Guitton,
  Oana Iova, Herve Rivano},
    journal={arXiv preprint arXiv:2407.03490},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.03490},
    primaryClass={cs.NI}
}