표제지
목차
국문초록 11
Ⅰ. 서론 12
1. 연구배경 12
2. 배경 지식 14
2.1. 셀 선택과 셀 탐색 절차 14
2.2. 5G NR 동기화 신호 15
Ⅱ. 5G 동기화 신호 탐지를 위한 소프트웨어 기반 에너지 탐지기 17
1. 시스템 모델 18
2. 제안 기법 21
2.1. SSB timing window의 추정 22
2.2. Energy Level 계산 24
3. 실험 결과 및 분석 25
3.1. SIMD 함수를 이용한 저복잡도 구현 27
3.2. ROC 곡선을 이용한 임계값 결정 28
3.3. 에너지 탐지 확률 31
Ⅲ. 다운샘플링을 기반으로 한 5G 동기화 신호탐지 기법 34
1. 시스템 모델 35
1.1. 5G 셀 탐색 절차 35
1.2. 소프트웨어 구조 36
2. 제안 기법 37
2.1. Pre-PSS detection (Step 0) 38
2.2. Window-based detection (Step 1) 39
3. 실험 결과 및 분석 40
Ⅳ. DNN을 이용한 PRACH 탐색 구현 43
1. 시스템 모델 44
2. PRACH 탐색 알고리즘 46
3. SDM 구현 48
3.1. SDM 시스템 구조 48
3.2. VIE 적용 소프트웨어 시나리오 48
4. 실험 결과 및 분석 50
참고문헌 54
ABSTRACT 59
Table 1. Moving Average Filter for timing estimation algorithm. 22
Table 2. The frame parameters of the test environments. 26
Table 3. The computational complexity and time of SIMD. 27
Table 4. The false alarm probability and detection probability of the ROC curve for various threshold levels. 30
Table 5. The parameter of DNN. 52
Table 6. SKT configuration about PRACH generation. 52
Figure 1. Synchronization Signal Block structure. 15
Figure 2. The initial cell selection and cell search procedure. 18
Figure 3. The overall procedure of SSB energy detection. 21
Figure 4. The low-complexity SSB timing window estimation. 22
Figure 5. The architecture of the implemented SDM and the test environment. 25
Figure 6. The probability density function. 28
Figure 7. The ROC curve of the proposed scheme under different SNRs. 29
Figure 8. The fail probability of the proposed scheme for emulated gNB. 31
Figure 9. The fail probability of the proposed scheme for commercial gNB. 32
Figure 10. The detail of cell search procedure. 35
Figure 11. The software structure. 36
Figure 12. The flow structure of the proposed scheme. 37
Figure 13. The description of pre-PSS detection. 38
Figure 14. The description of window-based detection. 39
Figure 15. The initial cell search time (RSRP: -68dB). 41
Figure 16. The PBCH decoding fail probability versus SNR. 42
Figure 17. The random access scenario. 44
Figure 18. The process block of PRACH transmission and reception. 45
Figure 19. The structure of PRACH detector. 46
Figure 20. The structure of system implemented by SDM. 48
Figure 21. The PRACH software scenario with VIE. 49
Figure 22. The performance test environment. 50
Figure 23. The location of learning data extraction for DNN. 51
Figure 24. The detection probability of PRACH detection. 53