An Advanced EVM Metric Based Jamming Signal Detection Method for Next-Generation Communication Systems

This paper introduces a new method, Symbol-Resource Block-Error Vector Magnitude (Symbol-RB-EVM), to effectively reveal the behavior of jamming attacks targeting LTE, 5G and next-generation communication systems in temporal and frequency dimensions. Simulation results demonstrate our method's superior sensitivity compared to methods based on traditional Received Signal Strength (RSS) and Bit Error Rate (BER) measurements, enabling the detection of sophisticated jamming strategies and low-amplitude tactics. In addition to the precise detection of jamming interferences within radio time-frequency bands, low-complexity feature maintains computational efficiency while aiding strategic resource allocation. Furthermore, the Symbol-RB-EVM present a viable alternative to popular spectrogram measurement used for training machine learning models aimed at jamming signal detection and classification, as shown in the simulations verifying its superior performance. In conclusion, the proposed methodology advances jamming detection capabilities and offers a computationally efficient framework for new generation communication systems with low-latency requirements.