基于射线追踪的LoRaWAN网关部署：用于亚马逊地区的可靠连接
Ray Tracing-Based LoRaWAN Gateway Placement for Reliable Connectivity in Amazonian Regions
- Federal University of Pará（帕拉联邦大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究针对亚马逊地区物联网通信的网关部署问题，提出优化模型，对比不同信道类型的影响，发现采用站点相关信道可减少所需网关数量以满足可靠连接需求。
AI中文摘要：
网络规划是无线通信中的重要任务，可帮助网络运营商避免不必要的成本。在物联网背景下，亚马逊雨林中使用远程广域网技术时，确保终端设备与网关（GW）之间的可靠通信是一项关键挑战，而这种可靠性受信道条件的强烈影响。因此，规划阶段选择合适的信道模型是准确仿真的重要决策。基于此，本研究提出一种优化模型，以评估森林场景中不同类型信道对覆盖范围和数据包投递率的影响。我们采用射线追踪、经验和随机方法的信道，评估网络规划阶段选择的信道如何影响网关部署，特别是终端设备的覆盖百分比和通信系统的可靠性。结果表明，基于与站点无关的信道进行网关部署会高估满足网络需求所需的网关数量，而使用与站点相关的信道则可使用更少的网关满足相同需求。
英文摘要：
Network planning is an important task in wireless communications, as it helps network operators avoid unnecessary costs. In the context of the internet of things, using long-range wide-area network technologies in the Amazon rainforest, a key challenge is ensuring reliable communication between end-devices and gateways (GWs). In this sense, this reliability is strongly affected by channel conditions. Thus, during the planning phase, choosing the appropriate channel model is an important decision for accurate simulations. Given this motivation, in this work, we propose an optimization model to evaluate the impact of different types of channels on coverage and packet delivery ratio in a forest scenario. We used channels from ray tracing, empirical, and stochastic approaches to assess how decisions made during the network planning phase, in terms of the channel used, affect GW placement and, specifically, the percentage of end-devices covered and the reliability of the communication system. Our results show that GW placement based on site-independent channels can overestimate the number of GWs required to meet the network requirements, whereas using site-specific channels allows us to satisfy the same requirements with fewer GWs.
