🤖 AI Summary
This study addresses the lack of systematic evaluation of 5G New Radio (NR) resilience under diverse physical-layer configurations and the difficulty in quantifying the impact of factors such as frequency band and bandwidth. To bridge this gap, the authors present the first configurable 5G jammer implemented and open-sourced within the ns-3 simulation platform, enabling a unified assessment of cellular interference effects across multiple NR parameters—including operating frequency, channel bandwidth, and subcarrier spacing. Experimental results demonstrate that channel bandwidth and operating frequency significantly influence interference resilience, whereas subcarrier spacing and cellular technology generation exhibit comparatively minor effects. This work establishes a reproducible simulation foundation and offers critical design insights for enhancing 5G robustness against interference.
📝 Abstract
With the increasing use of 5G networks in availability-critical systems, including industrial networks and critical infrastructure, a comprehensive understanding of their resilience to cellular jamming has become imperative. However, research so far has focused on isolated evaluations under fixed 5G physical-layer configurations, making it difficult to perform sound comparisons, for example, to identify differences between frequency bands or channel bandwidths w.r.t. jamming resilience. To fill this gap, we implement and release an open-source 5G jammer within the ns-3 simulator. Leveraging the controllable determinism of simulation, we compare the impact of cellular jamming across different dimensions such as cellular technologies, frequencies, subcarrier spacing, and channel bandwidth. Our results show that while cellular technology and subcarrier spacing have little impact, channel bandwidth and frequency range play a critical role in improving jamming resilience.