Sequential Anomaly Detection Against Demodulation Reference Signal Spoofing in 5G NR

In fifth generation (5G) new radio (NR), the demodulation reference signal (DMRS) is employed for channel estimation as part of coherent physical uplink shared channel. However, DMRS spoofing poses a serious threat to 5G NR since inaccurate will severely degrade decoding performance. this correspondence, we propose exploit spatial sparsity structure detect spoofing, which motivated by fact that be significantly impacted if happens. We first extract solving sparse feature retrieval problem, then sequential anomaly detection method spoofing. simulation experiments, clustered delay line based model from 3GPP standards verifications. Numerical results show our outperforms both subspace dimension and energy detector methods.