Jaringan 5G dengan Parameter SINR, RSRP, dan Throughput
DOI:
https://doi.org/10.61722/jipm.v4i3.2336Keywords:
5G NR, RSRP, SINR, Throughput, KPI Analysis.Abstract
This study provides a literature review on 5G New Radio (NR) performance, focusing on three key physical layer parameters: Reference Signal Received Power (RSRP), Signal-to-Interference-plus-Noise Ratio (SINR), and Throughput. By synthesizing 15 research papers from 2015–2026, the analysis reveals that SINR is the most critical predictor of throughput, with a strong correlation coefficient of 0.85. The findings highlight that while RSRP ensures coverage, SINR determines the actual data rate, which varies significantly across urban, industrial, and highway environments. The study identifies research gaps in KPI threshold standardization and the comparative performance of 5G Standalone (SA) versus Non-Standalone (NSA) architectures.
References
Springer, "Performance evaluation of SINR in 5G urban macro-cells with variable parameters under different path loss models," EURASIP Journal on Wireless Communications and Networking, 2026.
D. R. Sona et al., "Optimizing 5G Sustainable Networks Performance in Urban Areas Using Machine Learning Techniques," International Journal of Communication Systems, Wiley, 2025.
"A Comparative and Measurement-Based Study on Real-Time Network KPI Extraction Methods for 5G and Beyond Applications," arXiv preprint, 2025.
MDPI Electronics, "Empirical Insights into 5G Deployments in Highway Operational Environments and Comparative Performance with 4G," Electronics, vol. 13, 2024.
PMC/MDPI Electronics, "Measurement and Analysis of 4G/5G Mobile Signal Coverage in a Heavy Industry Environment," Electronics, 2024.
S. V. A. D. Makki et al., "Measurement Based: 4G and 5G networks Analysis," International Journal on Recent and Innovation Trends in Computing and Communication, 2024.
H. Nafi'ah et al., "Gap Analysis of 5G Network Coverage in Bandung City," Journal of Communications, 2025.
A. Rezaei et al., "Efficient Approximation of SINR and Throughput in 5G NR via Sparsity and Interference Aggregation," Vodafone Chair / TU Dresden, 2023.
Lund University, "Investigation on 5G Techniques for a College Scenario," Lund University Student Papers.
M. Pons et al., "Utilization of 5G technologies in IoT applications: Current limitations by interference and network optimization difficulties—a review," Sensors, MDPI, 2023.
R.-G. Lazar et al., "Real-time data measurement methodology to evaluate the 5G network performance indicators," IEEE Access, 2023.
F. Afroz et al., "SINR, RSRP, RSSI and RSRQ measurements in long term evolution networks," International Journal of Wireless & Mobile Networks, 2015.
A. Margaris et al., "Hybrid network–spatial clustering for optimizing 5g mobile networks," Applied Sciences, MDPI, 2022.
A. L. Imoize et al., "Optimizing the quality of service of mobile broadband networks for a dense urban environment," Future Internet, MDPI, 2023.
M. AL-nasrawi et al., "Kpi analysis of 4g/5g networks," Przegląd Elektrotechniczny, 2024.
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