LR-FHSS网络中有效载荷编码速率与报头副本的概率分配
Probabilistic Allocation of Payload Code Rate and Header Copies in LR-FHSS Networks
AI总结：
该研究针对LR-FHSS网络，提出基于网络服务器概率分布的设备级编码速率与报头副本分配策略，实验证明其性能优于标准DR8、DR9速率，且DR8对优化有效吞吐量和能效贡献显著。
摘要：
我们采用设备级概率策略分配编码速率与报头副本，评估LoRaWAN远程跳频扩频（LR-FHSS）技术的性能。具体而言，我们研究在网络服务器提供的概率分布指导下，每个终端设备采用不同报头副本与编码速率分配的效果。作为基准，我们将所提策略与标准化的LR-FHSS数据速率DR8和DR9进行对比。数值结果表明，在所有考虑的场景中，所提策略的性能始终优于DR8和DR9标准数据速率。值得注意的是，我们的发现显示最优分布几乎不包含数据速率DR9，而数据速率DR8对有效吞吐量和能效优化有显著贡献。
英文摘要：
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.
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