基于随机几何的低功耗广域网性能评估二维时频干扰建模
2D Time-frequency interference modelling using stochastic geometry for performance evaluation in Low-Power Wide-Area Networks
摘要：
在无线网络中，传输之间的干扰在时域或频域中建模。在这篇文章中，我们使用随机几何模型联合分析时频域中的干扰，假设总时频资源是二维平面，并且来自物联网（IoT）设备的传输是该平面上的时频模式。为了评估干扰，我们量化了信息包之间的重叠：如果重叠不是太强，则数据包不一定会由于捕获效应而丢失。这种灵活的模型可以用于多种介质接入场景，特别适用于低功率广域网（LPWAN）中使用的随机时频接入方案。通过表征中断概率和吞吐量，我们的方法允许评估两个代表性的LPWA技术Sigfox{ \textsuperscript \textregistered }和LoRaWA{ \textsuperscript \textregistered }的性能。
英文摘要：
In wireless networks, interferences between trans- missions are modelled either in time or frequency domain. In this article, we jointly analyze interferences in the time- frequency domain using a stochastic geometry model assuming the total time-frequency resources to be a two-dimensional plane and transmissions from Internet of Things (IoT) devices time- frequency patterns on this plane. To evaluate the interference, we quantify the overlap between the information packets: provided that the overlap is not too strong, the packets are not necessarily lost due to capture effect. This flexible model can be used for multiple medium access scenarios and is especially adapted to the random time-frequency access schemes used in Low-Power Wide-Area Networks (LPWANs). By characterizing the outage probability and throughput, our approach permits to evaluate the performance of two representative LPWA technologies Sigfox{\textsuperscript \textregistered} and LoRaWA{\textsuperscript \textregistered}.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
