Enhancing LR-FHSS Scalability Through Advanced Sequence Design and Demodulator Allocation
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916311740710912 |
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| author | Maldonado, Diego Kaneko, Megumi Fraire, Juan A. Guitton, Alexandre Iova, Oana Rivano, Herve |
| author_facet | Maldonado, Diego Kaneko, Megumi Fraire, Juan A. Guitton, Alexandre Iova, Oana Rivano, Herve |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_03490 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhancing LR-FHSS Scalability Through Advanced Sequence Design and Demodulator Allocation Maldonado, Diego Kaneko, Megumi Fraire, Juan A. Guitton, Alexandre Iova, Oana Rivano, Herve Networking and Internet Architecture 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. |
| title | Enhancing LR-FHSS Scalability Through Advanced Sequence Design and Demodulator Allocation |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2407.03490 |