发表机构
University of Piraeus; National and Kapodistrian University of Athens; University College London（比雷埃夫斯大学; 雅典国立卡波帝斯特里亚斯大学; 伦敦大学学院）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出无人机走廊辅助网络，研究三维波束失准误差下地面基站的联合感知与通信覆盖概率，推导精确解析式，揭示走廊长度饱和及波束宽度权衡。
AI 中文摘要
本文提出了一种无人机（UAV）走廊辅助网络，用于研究配备真实三维（3D）3GPP天线模式的地面基站（BS）的联合感知与通信（JCAS）覆盖概率（CP）。通过采用三维二项点过程（BPP）对UAV-UE的空间位置进行建模，固定数量的UAV-UE被部署在一个建模为有限圆柱体的空中走廊中。基站利用雷达感知能力，在遵循多元正态分布的三维波束失准误差下跟踪一个已知的UAV-UE。随后，在杂波和上行链路通信干扰下，推导出JCAS覆盖概率的精确解析表达式，并用于分析地面基站的性能。结果突出了在高UAV高度下的走廊长度饱和效应，以及波束宽度在干扰抑制和失准灵敏度之间的权衡。
英文摘要
In this paper, a unmanned aerial vehicle (UAV) corridor-assisted network is proposed to study the joint sensing and communication (JCAS) coverage probability (CP) of a terrestrial (BS) equipped with a realistic three-dimensional (3D) 3GPP antenna pattern. By employing the 3D binomial point process (BPP) to model the spatial locations of the UAV-UEs, a fixed number of UAV-UEs are deployed in an aerial corridor modeled as a finite cylinder. The BS exploits radar sensing capabilities to track a known UAV-UE under a 3D beam misalignment error, which follows a multivariate normal distribution. Subsequently, under clutter and uplink communication interference, exact- form analytical expressions for JCAS CP are derived and used to analyze the performance at the terrestrial BS. The results highlight corridor-length saturation at high UAV heights and the beamwidth trade-off between interference suppression and misalignment sensitivity.
CommentsAccepted for presentation in IEEE ISAC 2026
