AI 中文总结
本文提出分层蜂窝与无小区MIMO系统的集成感知与通信架构，通过中央基站协同处理通信与感知、分布式AP作为双基地接收机，降低前传开销，同时提升总吞吐量与感知精度。
AI 中文摘要
本文研究混合系统下的集成感知与通信（ISAC），该系统无缝融合传统蜂窝基站与分布式无小区（CF）接入点（AP）。我们提出一种分层ISAC架构：中央基站（CBS）服务近距用户，同时作为单基地雷达执行空中目标检测；分布式AP中大量在用户中心聚类模式下处于空闲状态的节点则作为零成本双基地接收机。CBS协同处理通信信号与多基地感知融合，相比传统无小区ISAC降低了前传开销。为实现这一目标，我们定义了具有精准ISAC角色分配的五阶段时分双工工作流程。频谱效率与多基地感知信噪比的闭式表达式，可解析表征通信-感知帕累托边界。数值结果证实，所提分层设计相比传统无小区ISAC，同时实现了更高的总吞吐量与更优的感知精度。
英文摘要
This paper studies integrated sensing and communications (ISAC) over a hybrid system that seamlessly combines legacy cellular base stations with distributed cell-free (CF) access points (APs). We propose a hierarchical ISAC architecture where a central base station (CBS) serves its near users and simultaneously operates as a monostatic radar for aerial target detection, while distributed APs---many idle under user-centric clustering---act as cost-free bistatic receivers. The CBS jointly handles communication processing and multi-static sensing fusion, reducing fronthaul overhead compared to conventional cell-free ISAC. To achieve this, a five-phase time-division duplexing workflow with precise ISAC role assignment is specified. Closed-form expressions for spectral efficiency and multi-static sensing signal-to-noise ratio analytically characterize the communications--sensing Pareto frontier. Numerical results confirm that the proposed hierarchical design simultaneously achieves higher sum throughput and superior sensing accuracy than conventional cell-free ISAC.
CommentsIEEE Globecom 2026
