发表机构
Poznan University of Technology; Keysight Technologies（波兹南理工大学; 是德科技）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本文提出一种用于Open RAN架构的主动式干扰检测xApp（JD-xApp），通过监测BLER并限制MCS来稳定URLLC延迟，在OCUDU上实现，实验显示重传次数减少67.3%。
AI 中文摘要
射频干扰对5G/6G网络构成严重威胁，增加数据包延迟，尤其对任务关键型URLLC服务造成破坏性影响。本文针对Open RAN架构提出了一种主动式干扰检测xApp（JD-xApp），通过E2接口监测移动平均误块率（BLER）来检测攻击。检测到干扰后，该算法覆盖标准链路自适应，对调制与编码方案（MCS）强制实施稳健的上限，以稳定延迟。为应对O-RAN平台采用的挑战，我们将该框架迁移至开源集中单元/分布式单元实现（OCUDU）。使用高端Keysight实验室设备（包括UXM 5G无线测试平台和PROPSIM F64信道仿真器）进行评估，JD-xApp将预期的数据包重传尝试次数减少了约67.3%。最后，通过使用POWDER实验室基础设施的空中部署验证了该系统的可行性。
英文摘要
RF jamming poses a severe threat to 5G/6G networks, increasing packet latency being especially disruption to mission-critical URLLC services. This paper introduces a proactive Jamming Detection xApp (JD-xApp) for the Open RAN architecture that detects attacks by monitoring the moving-average Block Error Rate (BLER) via the E2 interface. Upon detection, the algorithm overrides standard link adaptation, enforcing a robust upper ceiling on the Modulation and Coding Scheme (MCS) to stabilize latency. To counter O-RAN platform adoption challenges, we transition the framework to an open-source Centralized Unit/Distributed Unit implementation (OCUDU). Evaluated with high-end Keysight lab equipment including the UXM 5G Wireless Test Platform and the PROPSIM F64 channel emulator, the JD-xApp reduces the expected number of packet retransmission attempts by about 67.3%. Finally, the system's feasibility is validated via over-the-air deployment using the POWDER lab infrastructure.
CommentsAccepted for presentation and publication in proceedings of IEEE MILCOM 2026 conference
