支持高空平台站（HAPS）的偏远地区覆盖增强性能评估
Performance Evaluation of HAPS-enabled Coverage Enhancement in Hard-to-Reach Areas
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中文总结 AI 辅助
本文针对仅边缘有蜂窝地面设施的偏远地区，用随机几何建模，提出部署HAPS星座增强覆盖，推导了UE的上下行覆盖性能，分析了HAPS数量等参数对覆盖概率的影响，为HAPS部署提供指南。
中文摘要 AI 辅助
高空平台站（HAPS）正成为未来非地面网络（NTN）的关键组成部分。HAPS相比无人机（UAV）可服务更大区域，且相比卫星具备更低的传播延迟、维护成本和能耗。HAPS的一项重要应用是服务地面网络（TN）部署不可行的区域，尤其是偏远地区和灾后区域。例如，在亚马逊雨林、地中海地区及沙漠中，TN部署受地理和环境条件严重制约，仅交通网络或海岸线附近区域可被覆盖，大片区域仍处于未覆盖状态。现有文献通常忽略偏远地区的此类覆盖空洞。受这些实际案例驱动，本文利用随机几何工具对仅在边缘存在蜂窝地面基础设施的偏远地区进行数学建模，提出在该偏远地区部署HAPS星座以增强连通性。针对该设置，推导了所考虑用户设备（UE）的下行链路（DL）和上行链路（UL）覆盖性能，作为UE在覆盖空洞内位置的函数。结果表明，HAPS数量、波束宽度和HAPS高度如何影响DL和UL覆盖概率。最后，为未来HAPS部署提供多条实用指南。
英文摘要
High altitude platform stations (HAPSs) are becoming a key component of future non-terrestrial networks (NTNs). HAPSs can serve a larger area than uncrewed aerial vehicles (UAVs) and offer lower propagation latency, maintenance expense, and energy costs than satellites. A major application of HAPSs is to serve the areas where terrestrial network (TN) deployment is infeasible, especially in hard-to-reach areas and post-disaster areas. For instance, in the Amazon rainforest, the Mediterranean region, and deserts, TN deployment is severely constrained by geographical and environmental conditions. Only areas close to transportation networks or coastlines can be covered, while large areas remain uncovered. Such coverage holes in hard-to-reach areas are typically overlooked in existing literature. Motivated by these realistic cases, in this paper, we use tools from stochastic geometry to mathematically model hard-to-reach areas where cellular terrestrial infrastructure only exists at their perimeter. We propose to deploy a HAPS constellation over this hard-to-reach area to enhance connectivity. For that setup, we derive the downlink (DL) and uplink (UL) coverage performance of the considered user equipment (UE) as a function of the location of the UE inside the coverage hole. Our results show how the number of HAPSs, beamwidth, and HAPS altitude affect the DL and UL coverage probabilities. Finally, we provide multiple useful guidelines for future HAPS deployment.
发表机构
- King Abdullah University of Science and Technology（阿卜杜拉国王科技大学）
- Maynooth University（梅努斯大学）
机构由 AI 辅助整理，请以论文原文为准。
