Jamming Detection With Subcarrier Blanking for 5G and Beyond in Industry 4.0 Scenarios
Leonardo Chiarello, Paolo Baracca, Karthik Upadhya, Saeed R., Khosravirad, Thorsten Wild

TL;DR
This paper proposes a novel jamming detection method for 5G and beyond in Industry 4.0, using subcarrier blanking and GLRT, demonstrating effectiveness against smart jammers in various traffic scenarios.
Contribution
It introduces a defense mechanism based on pseudo-random subcarrier blanking and a GLRT detector for physical layer jamming detection in 5G systems.
Findings
Smart jammers must balance stealthiness and spectral efficiency.
Detection performance degrades with low-power jammers.
High-power jammers significantly impact system performance.
Abstract
Security attacks at the physical layer, in the form of radio jamming for denial of service, are an increasing threat in the Industry 4.0 scenarios. In this paper, we consider the problem of jamming detection in 5G-and-beyond communication systems and propose a defense mechanism based on pseudo-random blanking of subcarriers with orthogonal frequency division multiplexing (OFDM). We then design a detector by applying the generalized likelihood ratio test (GLRT) on those subcarriers. We finally evaluate the performance of the proposed technique against a smart jammer, which is pursuing one of the following objectives: maximize stealthiness, minimize spectral efficiency (SE) with mobile broadband (MBB) type of traffic, and maximize block error rate (BLER) with ultra-reliable low-latency communications (URLLC). Numerical results show that a smart jammer a) needs to compromise between missed…
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Taxonomy
Methodstravel james
