Problem
Research questions and friction points this paper is trying to address.
RF jamming
5G/6G networks
URLLC services
Jamming Detection in 5G/6G Networks: From O-RAN Concept to OCUDU Deployment
🤖 AI Summary
本文针对5G/6G网络中的RF干扰问题，提出了一种基于O-RAN架构的主动干扰检测应用（JD-xApp），通过监控BLER并调整MCS来降低延迟，并通过OCUDU实现开源部署。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Jamming Detection
Open RAN
Block Error Rate (BLER)
Modulation and Coding Scheme (MCS)
OCUDU
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