본 논문은 RADAR 펄스 및 OFDMA가 공존하는 이종 간섭 환경에서 CNN 기반 5G NR 상향링크 자동변조분류(AMR)의 성능 한계를 정량 분석한다. 세 가지 대표적인 분류 방식을 SIR -10~20 dB 범위에서 비교 평가한 결과, raw IQ 입력 CNN은 OFDMA 간섭 환경에서 SIR=20 dB 정확도 1.000으로 거의 완벽한 성능을 보였으나, RADAR 펄스 간섭 환경에서는 SIR이 30 dB 개선되어도 정확도가 0.728에서 0.882로만 향상되는 본질적 성능 한계가 관찰되었다. 본 결과는 CNN AMR의 강건성이 간섭의 통계적 특성에 강하게 의존함을 정량화하며, RADAR 환경에서의 입력단 간섭 저감 전처리 연구의 정량적 동기를 제공한다.
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