Fairness-Aware Demodulator Allocation in LoRa Multi-Gateway Networks

Alexandre Guitton;Megumi Kaneko
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Abstract

The literature has shown the drastic decrease of the achievable LoRa network throughput, due to the limited number of demodulators that are supported by LoRaWAN gateways. Unlike existing approaches, in this letter, we design fairness-aware algorithms under this stringent constraint. By taking the efficient demodulation time ratio as a fairness metric, our algorithms enable to prioritize frames with larger spreading factors, while increasing the total demodulation time thanks to collaboration among gateways. Numerical results demonstrate that our proposed methods largely outperform LoRaWAN baselines, while closely approaching their performance upper bounds.
LoRa多网关网络中的公平感知解调器分配
文献显示,由于LoRaWAN网关支持的解调器数量有限,可实现的LoRa网络吞吐量急剧下降。与现有的方法不同,在这封信中,我们在这个严格的约束下设计了公平感知算法。通过将有效解调时间比作为公平性度量,我们的算法能够优先考虑具有较大扩展因子的帧,同时由于网关之间的协作而增加了总解调时间。数值结果表明,我们提出的方法在很大程度上优于LoRaWAN基线,同时接近其性能上限。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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