使用定向波束的大规模高空平台站（HAPS）网络覆盖分析
Coverage Analysis of Large-Scale HAPS Networks Using Directional Beams
中文总结 AI 辅助
本文针对大规模HAPS网络覆盖问题，提出基于球随机几何的分析框架，结合定向天线增益，推导蜂窝与无蜂窝网络的上下行覆盖概率，经仿真验证并分析参数影响。
中文摘要 AI 辅助
高空平台站（HAPS）是下一代无线网络的关键组成部分，可减轻核心网络负担并实现高性价比通信。本文提出一种基于球随机几何的分析框架，用于评估HAPS网络的覆盖性能。考虑到定向天线增益对干扰评估的显著影响，本文在可适配多种波束方向图的通用信道模型下分析覆盖性能，分别给出蜂窝网络和无蜂窝网络的上行链路与下行链路覆盖概率的解析表达式，并通过蒙特卡洛仿真验证其准确性。此外，本文研究了网络级和物理级参数对覆盖概率的影响，最后讨论了若干与本文分析框架相符的因素。
英文摘要
High-altitude platform stations (HAPS) are pivotal in next-generation wireless networks for reducing core network burdens and enabling cost-effective communication. In this article, we propose a spherical stochastic geometry-based analytical framework for the coverage performance evaluation of HAPS networks. Considering the significant influence of directional antenna gain on interference evaluation, we analyze coverage performance under a general channel model that accommodates various beam patterns. Analytical expressions of the uplink and downlink coverage probabilities in cellular and cell-free networks are provided respectively and their accuracy are verified by Monte Carlo simulation. Furthermore, the influences of network-level and physical-level parameters on coverage probability are studied. Finally, several factors that align with the analytical framework of this article are discussed.
