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5G NR 抗干扰能力研究

On the Resilience of 5G NR Against Jamming

Sotiris Michaelides, Fidelius Lula, Daniel Eguiguren Chavez, Michael Rademacher, Martin Henze

arXiv 2607.29384首次发表:更新:

AI 中文总结

本文针对5G网络抗蜂窝干扰的研究缺口,在ns-3中实现开源5G干扰器,对比多维度干扰影响,发现信道带宽和频率范围是提升抗扰性的关键因素。

AI 中文摘要

随着5G网络在工业网络、关键基础设施等对可用性要求极高的系统中应用日益广泛,全面理解其对蜂窝干扰的抗扰性已成为当务之急。然而,迄今为止的研究多聚焦于固定5G物理层配置下的孤立评估,难以开展合理比较,例如识别不同频段或信道带宽在抗干扰能力上的差异。为填补这一空白,我们在ns-3模拟器中实现并发布了一款开源5G干扰器。利用模拟的可控确定性,我们对比了蜂窝技术、频率、子载波间隔、信道带宽等不同维度下蜂窝干扰的影响。结果表明,蜂窝技术和子载波间隔的影响较小,而信道带宽和频率范围对提升抗干扰能力起关键作用。

英文摘要

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.

Commentsin IEEE Conference on Local Computer Networks (LCN)

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