Probabilistic Allocation of Payload Code Rate and Header Copies in LR-FHSS Networks
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arXiv
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| Format: | Preprint |
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2024
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| author | Farhat, Jamil de Araujo Sant'Ana, Jean Michel de Souza Rebelatto, João Luiz Mahmood, Nurul Huda Pasolini, Gianni Souza, Richard Demo |
| author_facet | Farhat, Jamil de Araujo Sant'Ana, Jean Michel de Souza Rebelatto, João Luiz Mahmood, Nurul Huda Pasolini, Gianni Souza, Richard Demo |
| contents | We evaluate the performance of the LoRaWAN Long-Range Frequency Hopping Spread Spectrum (LR-FHSS) technique using a device-level probabilistic strategy for code rate and header replica allocation. Specifically, we investigate the effects of different header replica and code rate allocations at each end-device, guided by a probability distribution provided by the network server. As a benchmark, we compare the proposed strategy with the standardized LR-FHSS data rates DR8 and DR9. Our numerical results demonstrate that the proposed strategy consistently outperforms the DR8 and DR9 standard data rates across all considered scenarios. Notably, our findings reveal that the optimal distribution rarely includes data rate DR9, while data rate DR8 significantly contributes to the goodput and energy efficiency optimizations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_03392 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Probabilistic Allocation of Payload Code Rate and Header Copies in LR-FHSS Networks Farhat, Jamil de Araujo Sant'Ana, Jean Michel de Souza Rebelatto, João Luiz Mahmood, Nurul Huda Pasolini, Gianni Souza, Richard Demo Signal Processing Networking and Internet Architecture We evaluate the performance of the LoRaWAN Long-Range Frequency Hopping Spread Spectrum (LR-FHSS) technique using a device-level probabilistic strategy for code rate and header replica allocation. Specifically, we investigate the effects of different header replica and code rate allocations at each end-device, guided by a probability distribution provided by the network server. As a benchmark, we compare the proposed strategy with the standardized LR-FHSS data rates DR8 and DR9. Our numerical results demonstrate that the proposed strategy consistently outperforms the DR8 and DR9 standard data rates across all considered scenarios. Notably, our findings reveal that the optimal distribution rarely includes data rate DR9, while data rate DR8 significantly contributes to the goodput and energy efficiency optimizations. |
| title | Probabilistic Allocation of Payload Code Rate and Header Copies in LR-FHSS Networks |
| topic | Signal Processing Networking and Internet Architecture |
| url | https://arxiv.org/abs/2410.03392 |