Spreading Factor Detection for Low-Cost Adaptive Data Rate in LoRaWAN Gateways
Spreading Factor Detection for Low-Cost Adaptive Data Rate in LoRaWAN Gateways
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DOI：
10.1145/3560905.3568112
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
D. J. Koch;Muhammad Osama Shahid;Bhuvana Krishnaswamy
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文献类型：
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作者：
D. J. Koch;Muhammad Osama Shahid;Bhuvana Krishnaswamy
为了满足LoRa网络的容量需求，提出并在LoRaWANs中实现了自适应数据速率（ADR）。运行ADR的网络服务器决定网络中每个LoRa设备的最佳数据速率，从而确定传播因子设置。这反过来又要求网关能够接收所有可能的传播因子。现有网关通过使用多个射频前端来实现这一目标，从而增加了其总体成本和复杂性。在这项工作中，我们提出了一种基于离散小波变换的扩频因子检测算法，该算法与发射机设置无关。这种计算量轻的算法可以在任何现成的SDR上实现，降低了LoRaWAN网关实现的成本和易用性。使用实验数据集，我们表明该算法可以在信噪比低至-10dB的情况下检测到超过99.5%的接收数据包的扩展因子。
In order to meet the capacity needs of LoRa networks, Adaptive Data Rate (ADR) has been proposed and implemented in LoRaWANs. The network server running ADR determines the optimum data-rate and hence spreading factor setting for each LoRa device in a network. This in turn requires the gateway to be capable of receiving all possible spreading factors. Existing gateways achieve this by using multiple RF front ends, increasing their overall cost and complexity. In this work, we propose a Discrete Wavelet Transform based spreading factor detection algorithm that is agnostic to transmitter settings. This computationally light-weight algorithm can be implemented on any off-the-shelf SDR, bringing down the cost and ease of LoRaWAN gateway implementations. Using experimental, real-world datasets, we show that the proposed algorithm can detect the spreading factor of over 99.5% of the received packets at SNRs down to -10dB.