通过先进序列设计与解调器分配增强LR-FHSS可扩展性
Enhancing LR-FHSS Scalability Through Advanced Sequence Design and Demodulator Allocation
AI总结：
本文针对LEO卫星物联网大规模连接需求，通过利用宽间隔跳频序列并设计Early-Decode与Early-Drop两种解调器分配策略，联合提升LR-FHSS的可扩展性，并经仿真验证其有效性。
摘要：
物联网（IoT）的加速增长及其与低地球轨道（LEO）卫星的融合，要求通信协议具备高效、可靠和可扩展的特性。其中，专为LEO卫星物联网通信设计的远距离跳频扩频（LR-FHSS）调制技术引起了广泛关注。本工作提出了一种联合方法来增强LR-FHSS的可扩展性，以应对大规模连接需求。我们深入研究了LR-FHSS中的跳频序列（FHS）机制，重点展示了利用宽间隔序列的潜力。同时，我们引入了两种新颖的解调器分配策略，即“Early-Decode”和“Early-Drop”，以优化LoRa专用网关解码资源的利用。我们的研究进一步通过大量仿真验证了这些发现，全面展望了LR-FHSS在物联网场景中可扩展性的未来潜力。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
