论文标题
单细胞自适应数据速率洛但的性能分析
Performance Analysis of Single-Cell Adaptive Data Rate-Enabled LoRaWAN
论文作者
论文摘要
Lorawan为应用程序的应用程序提供了巨大的连通性。许多发表的作品采用随机几何形状，通过固定的发射功率和基于距离的扩散因子（SF）分配来推导lorawan的中断模型。但是，在实践中，Lorawan采用了自适应数据速率（ADR）机制，该机制会根据通道状态动态调整节点的SF并传输节点的功率。社区使用模拟解决了ADR的性能，但尚未引入分析模型。在这封信中，我们试图缩小这一差距。我们建立在分析的洛杉矶模型上，以考虑稳态支持ADR的Lorawan的性能。我们得出停电表达式和优化程序，以最大程度地提高可靠性约束的用户数量。结果表明，功率分配会减少干扰并改善网络容量，同时降低平均功率。
LoRaWAN enables massive connectivity for Internet-of-Things applications. Many published works employ stochastic geometry to derive outage models of LoRaWAN over fading channels assuming fixed transmit power and distance-based spreading factor (SF) allocation. However, in practice, LoRaWAN employs the Adaptive Data Rate (ADR) mechanism, which dynamically adjusts SF and transmit power of nodes based on channel state. The community addressed the performance of ADR using simulations, but analytical models have not been introduced. In this letter, we seek to close this gap. We build over an analytical LoRaWAN model to consider the performance of steady-state ADR-enabled LoRaWAN. We derive outage expressions and an optimization procedure to maximize the number of users under reliability constraints. Results show that power allocation reduces interference and improves network capacity while reducing average power.
