RUN-O-RAN：一种支持协作式上行定位的O-RAN原生架构

中文摘要 AI 辅助

在室内和密集城市环境中，精确定位的需求日益增长；然而，基于卫星的系统并非总是可用，且标准化的5G定位解决方案难以在商用设备上部署。本文提出了RUN-O-RAN，一种O-RAN原生的框架，利用商用5G设备的标准探测参考信号（SRS）传输实现以网络为中心的上行定位。RUN-O-RAN xApp协调服务基站和相邻基站，使非服务基站能够检索基于SRS的上行定时测量，这些测量在传统RAN部署中不可用，且无需修改UE或现有的3GPP信令流程。该框架将协作式SRS收集、首径到达时间估计、定时提前跟踪、时钟漂移补偿和多锚点位置估计结合成一个完整的网络侧定位服务。基于$150,000$次SRS传输的实验评估验证了所提出的框架，在多种传播条件下实现了米级定位精度，同时揭示了锚点几何和多径效应对定位精度的影响。这些发现表明，协作式SRS定位可以在O-RAN生态系统中实现，而无需修改商用UE，为未来网络原生的ISAC定位服务提供了实用基础。

英文摘要

Accurate positioning is increasingly required in indoor and dense urban environments; nonetheless, satellite-based systems are not always available, and standardized 5G localization solutions remain difficult to deploy with commercial devices. This paper presents RUN-O-RAN, an O-RAN-native framework that enables network-centric uplink localization using standard Sounding Reference Signal (SRS) transmissions from commercial 5G devices. RUN-O-RAN xApp coordinates serving and neighboring base stations, enabling non-serving base stations to retrieve SRS-based uplink timing measurements that would be unavailable in conventional RAN deployments, without modifying the UE or existing 3GPP signaling procedures. The framework combines cooperative SRS collection, first-path time-of-arrival estimation, timing-advance tracking, clock-drift compensation, and multi-anchor position estimation into a complete network-side localization service. Experimental evaluation over $150,000$ SRS transmissions validates the proposed framework, achieving meter-level localization under diverse propagation conditions while revealing the impact of anchor geometry and multipath on positioning accuracy. These findings demonstrate that cooperative SRS-based localization can be realized within the O-RAN ecosystem without modifying commercial UEs, providing a practical foundation for future network-native ISAC positioning services.

发表机构

• Politecnico di Milano（米兰理工大学）

机构由 AI 辅助整理，请以论文原文为准。

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14 pages, 13 figures