论文标题
在不同的通道模型下对多细胞LORA网络中上行链路成功概率的分析
An Analysis of Uplink Success Probability in Multi-Cell Lora Networks Under Different Channel Models
论文作者
论文摘要
预计为物联网（IOT）的低功率广泛区域网络（LPWAN）的开发将广泛增长，从而可以远程监视智能设备的距离，从多达几公里。本文研究了多细胞洛拉网络的性能和成功概率。本文使用随机几何形状的工具分析了重要的度量概率，即雷利和里奇亚通道模型中的成功概率。获得的分析有助于调查和评估多细胞LORA网络中的其他质量标准，例如吞吐量，SNR和SIR要求。此外，我们提供数值模拟结果，以证实理论分析并验证我们的分析如何表征给定的可靠性目标。
The development of the low power wide area network (LPWAN) for the internet of things (IoTs) is expected to grow widely, allowing remote monitoring of smart devices from a distance of up to several kilometers. This paper studies the performance and success probability of multi-cell LoRa networks. Using tools of stochastic geometry, the paper analyzes the important metric namely success probability in both Rayleigh and Rician channel models. The obtained analysis helps investigate and evaluate other quality criteria in the multi-cell LoRa network such as throughput, SNR and SIR requirements. Moreover, we provide numerical simulation results to corroborate the theoretical analysis and to verify how our analysis can characterize the given reliability target.
