多网关下行LoRa网络覆盖概率和频谱效率分析
Coverage Probability and Spectral Efficiency Analysis of Multi-Gateway Downlink LoRa Networks
摘要：
本文研究了多网关下行远程（LoRa）网络的系统级性能。具体地说，我们首先计算一个通道的活动概率和一个活动的终端设备（ED）的选择概率的封闭形式的表达式。然后，我们推导出的覆盖概率（Pcov）和区域频谱效率（ASE）的捕获效果和不同的扩频因子（SF）分配方案的影响下。我们的研究结果表明，无论是Pcov和ASE的考虑网络可以显着提高，通过增加占空比和发射功率。最后，Monte-Carlo仿真验证了所提出的数学框架的准确性。
英文摘要：
The system-level performance of multi-gateway downlink long-range (LoRa) networks is investigated in the present paper. Specifically, we first compute the active probability of a channel and the selection probability of an active end-device (ED) in the closed-form expressions. We then derive the coverage probability (Pcov) and the area spectral efficiency (ASE) under the impact of the capture effects and different spreading factor (SF) allocation schemes. Our findings show that both the Pcov and the ASE of the considered networks can be enhanced significantly by increasing both the duty cycle and the transmit power. Finally, Monte-Carlo simulations are provided to verify the accuracy of the proposed mathematical frameworks.
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