LoRaWAN (Long Range Wide Area Network) is emerging as an attractive network infrastructure for ultra low power Internet of Things devices. Even if the technology itself is quite mature and specified, the currently deployed wireless resource allocation strategies are still coarse and based on rough heuristics. This paper proposes an innovative "sequential waterfilling" strategy for assigning Spreading Factors (SF) to End-Devices (ED). Our design relies on three complementary approaches: i) equalize the Time-on-Air of the packets transmitted by the system's EDs in each spreading factor's group; ii) balance the spreading factors across multiple access gateways, and iii) keep into account the channel capture, which our experimental results show to be very substantial in LoRa. While retaining an extremely simple and scalable implementation, this strategy yields a significant improvement (up to 38%) in the network capacity over the legacy Adaptive Data Rate (ADR), and appears to be extremely robust to different operating/load conditions and network topology configurations.

中文翻译：

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用于 LoRaWAN 自适应数据速率的捕获感知顺序注水

LoRaWAN（远程广域网）正在成为超低功耗物联网设备的有吸引力的网络基础设施。即使技术本身已经相当成熟和规范，目前部署的无线资源分配策略仍然是粗略的，基于粗略的启发式。本文提出了一种创新的“顺序注水”策略，用于为终端设备 (ED) 分配扩展因子 (SF)。我们的设计依赖于三种互补的方法： i) 均衡每个扩频因子组中系统 ED 传输的数据包的空中时间；ii) 平衡跨多个接入网关的扩展因子，以及 iii) 考虑信道捕获，我们的实验结果表明，这在 LoRa 中非常重要。