发表机构
University of Piraeus; National and Kapodistrian University of Athens; Virginia Tech（比雷埃夫斯大学; 雅典国立卡波迪斯特里阿斯大学; 弗吉尼亚理工大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种随机几何框架，将空中走廊建模为有限圆柱体，利用3D二项点过程分析无人机基站联合通信与感知的覆盖概率，推导精确表达式，并发现提高天线方向性可显著提升性能。
AI 中文摘要
在无人机（UAV）网络中，联合通信与感知（JCAS）正成为支持第六代（6G）服务在无人机集群中扩展和持续通信与感知能力的关键使能技术。在此框架内，空中走廊为支持协调和可靠的操作提供了结构化环境。本文提出了一个综合框架，用于研究在由无人机用户设备（UE）填充的空中走廊中，无人机基站（BS）的JCAS覆盖概率（CP）。该走廊被建模为有限圆柱体，其中固定数量的无人机UE根据三维（3D）二项式点过程（BPP）在空间上分布。假设无人机BS配备了逼真的3D第三代合作伙伴项目（3GPP）天线方向图，并利用雷达感知能力来跟踪已知的无人机UE。随后，被跟踪的无人机UE被假设与无人机BS进行上行链路通信。因此，在存在杂波和上行链路通信干扰的情况下，分析了无人机BS处的JCAS CP，并推导出精确形式的解析表达式。据我们所知，这是首个开发随机几何框架来严格分析空中走廊中JCAS性能的工作，其中无人机UE位置被建模为3D BPP。在众多见解中，结果表明增加无人机BS天线波束的方向性可带来显著的JCAS性能提升，尤其是在较短的无人机走廊中。
英文摘要
In unmanned aerial vehicle (UAVs) networks, joint communication and sensing (JCAS) is emerging as a key enabler to support extended and continuous communication and sensing capabilities for sixth-generation (6G) services among UAVs operating in swarms. Within this framework, aerial corridors provide a structured environment for supporting coordinated and reliable operations. In this paper, a comprehensive frame- work is presented to investigate the JCAS coverage probability (CP) of a UAV-base station (BS) in an aerial corridor populated by UAV-user equipments (UEs). The corridor is modeled as a finite cylinder, within which a fixed number of UAV-UEs are spatially distributed according to a three-dimensional (3D) binomial point process (BPP). The UAV-BS is assumed to be equipped with a realistic 3D third generation partnership project (3GPP) antenna pattern and exploits radar sensing capabilities to track a known UAV-UE. Subsequently, the tracked UAV-UE is assumed to perform uplink communication with the UAV-BS. Accordingly, the JCAS CP at the UAV-BS is analyzed under the presence of clutter and uplink communication interference, and exact-form analytical expressions are derived. To the best of our knowledge, this is the first work to develop a stochastic geometry framework for the rigorous analysis of JCAS performance in aerial corridors, with UAV-UE locations modeled as a 3D BPP. Among several insights, results show that increasing the directivity of the UAV-BS antenna beams leads to notable JCAS performance gains, particularly for shorter UAV corridors.
Commentsaccepted for presentation in 2026 IEEE GLOBECOM
