TY  - JOUR
T1  - Phase-Shifted DMRS-Aided Automatic Modulation Classification for PDSCH in 5G New Radio
AU  - Kim, Jeongseok 
AU  - Kang, Byeong-Gwon 
AU  - Kim, Taehyoung 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2024
DA  - 2024/1/1
DO  - 10.7840/kics.2024.49.11.1558
KW  - AMC
KW  - PDSCH
KW  - 5G NR
KW  - CNN
KW  - DMRS
AB  - In this letter, a novel automatic modulation classification (AMC) scheme is developed for physical downlink shared channel (PDSCH) in 5G New Radio (NR). We design a convolutional neural network (CNN) to classify modulation types of the received PDSCH. To improve the classification accuracy, an enhanced demodulation reference signal (DMRS) structure is proposed where the phase of the DMRS is shifted depending on the modulation types. Simulation results verify that the proposed AMC scheme achieves 31.5% gain compared to the legacy scheme in terms of classification accuracy.