Hierarchical Coverage Optimization of 5G New Radio Non-Standalone in Tourism Corridors

Authors

  • Afrizal Yuhanef Department of Electrical Engineering, Politeknik Negeri Padang, Padang 25171, West Sumatra, Indonesia
  • Muhammad Putra Pamungkas Department of Electrical Engineering, Politeknik Negeri Padang, Padang 25171, West Sumatra, Indonesia
  • Amran Paso Salmeno Department of Electrical Engineering, Politeknik Negeri Padang, Padang 25171, West Sumatra, Indonesia
  • Fikri Adi Pratama Department of Electrical Engineering, Politeknik Negeri Padang, Padang 25171, West Sumatra, Indonesia

DOI:

10.33395/sinkron.v10i4.16738

Keywords:

5G NR NSA, Drive test, Coverage optimization, Small cell, Atoll

Abstract

A hierarchical coverage-optimization strategy is proposed for 5G New Radio Non-Standalone (NR NSA) networks in hilly tourism corridors with transient, high-mobility users. A drive-test campaign (7,522 measurement points, G-NetTrack Pro) was conducted on the Telkomsel 5G NR NSA network in the Jam Gadang corridor, Bukittinggi, West Sumatra, Indonesia, and benchmarked against three radio-planning scenarios simulated in Atoll. Three interventions were evaluated in order of increasing capital cost: antenna tilt and azimuth tuning, small-cell densification, and the addition of new macro-sites. Drive-test results show 97.55% of RSRP samples in the very-good band (≥ −85 dBm), confirming throughput — not coverage — as the dominant constraint. Against the simulation baseline (77.30% very-good RSRP, 70.55% very-good SINR), antenna tuning alone raises RSRP to 84.50% very-good and reduces the poor-band SINR from 2.03% to 0.06% at zero hardware cost. Small-cell densification achieves the strongest throughput gain (99.00% very-good TPUT-DL), while new macro-site addition achieves the strongest coverage gain (92.20% very-good RSRP, 0.00% poor RSRP). These results substantiate a cost-ordered hierarchical planning sequence transferable to similar tourism heritage corridors in emerging markets.

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References

M. K. Banafaa et al., “A Comprehensive Survey on 5G-and-Beyond Networks With UAVs: Applications, Emerging Technologies, Regulatory Aspects, Research Trends and Challenges,” IEEE Access, vol. 12, pp. 7786–7826, 2024, doi: 10.1109/ACCESS.2023.3349208.

G. Rafiq, P. Bose, and P. Orten, “5G Cellular Communication for Maritime Applications,” IEEE Access, vol. 13, pp. 109451–109472, 2025, doi: 10.1109/ACCESS.2025.3581591.

H. Liu, Z. Tan, and Z. Xia, “The Coupling Coordination Relationship and Driving Factors of the Digital Economy and High-Quality Development of Rural Tourism: Insights from Chinese Experience Data,” Land, vol. 13, no. 11, p. 1734, Oct. 2024, doi: 10.3390/land13111734.

Ȕzlem Tugfe Demir, E. BjɆrnson, and L. Sanguinetti, “Foundations of User-Centric Cell-Free Massive MIMO,” Found. Trends® Signal Process., vol. 14, no. 3–4, pp. 162–472, Jan. 2021, doi: 10.1561/2000000109.

S. M. Hernandez and E. Bulut, “WiFi Sensing on the Edge: Signal Processing Techniques and Challenges for Real-World Systems,” IEEE Commun. Surv. Tutorials, vol. 25, no. 1, pp. 46–76, 2023, doi: 10.1109/COMST.2022.3209144.

U. Ali et al., “Data-Driven Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks,” Futur. Internet, vol. 14, no. 8, p. 239, Aug. 2022, doi: 10.3390/fi14080239.

M. Mercuri et al., “Enabling Robust Radar-Based Localization and Vital Signs Monitoring in Multipath Propagation Environments,” IEEE Trans. Biomed. Eng., vol. 68, no. 11, pp. 3228–3240, Nov. 2021, doi: 10.1109/TBME.2021.3066876.

J. A. Azevedo and F. Mendonça, “A Critical Review of the Propagation Models Employed in LoRa Systems,” Sensors, vol. 24, no. 12, p. 3877, Jun. 2024, doi: 10.3390/s24123877.

N. A. Alhaj et al., “Integration of Hybrid Networks, AI, Ultra Massive-MIMO, THz Frequency, and FBMC Modulation Toward 6G Requirements: A Review,” IEEE Access, vol. 12, pp. 483–513, 2024, doi: 10.1109/ACCESS.2023.3345453.

T. Raj, R. Mishra, P. Kumar, and A. Kapoor, “Advances in MIMO Antenna Design for 5G: A Comprehensive Review,” Sensors, vol. 23, no. 14, p. 6329, Jul. 2023, doi: 10.3390/s23146329.

P. K. Gkonis, “A Survey on Machine Learning Techniques for Massive MIMO Configurations: Application Areas, Performance Limitations and Future Challenges,” IEEE Access, vol. 11, pp. 67–88, 2023, doi: 10.1109/ACCESS.2022.3232855.

A. Quirini, F. Colone, and P. Lombardo, “Outlier-Robust Three-Element Non-Uniform Linear Arrays Design Strategy for Direction of Arrival Estimation in MIMO Radar,” Sensors, vol. 25, no. 16, p. 5062, Aug. 2025, doi: 10.3390/s25165062.

M. M. Ahamed and S. Faruque, “5G Network Coverage Planning and Analysis of the Deployment Challenges,” Sensors, vol. 21, no. 19, p. 6608, Oct. 2021, doi: 10.3390/s21196608.

A. Souifi, Z. C. Boulanger, M. Zolghadri, M. Barkallah, and M. Haddar, “Uncertainty of key performance indicators for Industry 4.0: A methodology based on the theory of belief functions,” Comput. Ind., vol. 140, p. 103666, Sep. 2022, doi: 10.1016/j.compind.2022.103666.

R.-G. Lazar, A.-V. Militaru, C.-F. Caruntu, C. Pascal, and C. Patachia-Sultanoiu, “Real-Time Data Measurement Methodology to Evaluate the 5G Network Performance Indicators,” IEEE Access, vol. 11, pp. 43909–43924, 2023, doi: 10.1109/ACCESS.2023.3271366.

A. A. El-Saleh et al., “Measuring and Assessing Performance of Mobile Broadband Networks and Future 5G Trends,” Sustainability, vol. 14, no. 2, p. 829, Jan. 2022, doi: 10.3390/su14020829.

A. L. Imoize, F. Udeji, J. Isabona, and C.-C. Lee, “Optimizing the Quality of Service of Mobile Broadband Networks for a Dense Urban Environment,” Futur. Internet, vol. 15, no. 5, p. 181, May 2023, doi: 10.3390/fi15050181.

M. Raftopoulou et al., “Deployment and Performance Evaluation of 5G Private Networks, Enabling Use Cases in Rural Remote Areas,” IEEE Access, vol. 13, pp. 154581–154598, 2025, doi: 10.1109/ACCESS.2025.3603591.

S. Ali, A. Abu-Samah, N. F. Abdullah, and N. L. Mohd Kamal, “Propagation Modeling of Unmanned Aerial Vehicle (UAV) 5G Wireless Networks in Rural Mountainous Regions Using Ray Tracing,” Drones, vol. 8, no. 7, p. 334, Jul. 2024, doi: 10.3390/drones8070334.

F. Jaensch, G. Caire, and B. Demir, “Radio Map Prediction From Aerial Images and Application to Coverage Optimization,” IEEE Trans. Wirel. Commun., vol. 25, pp. 308–320, 2026, doi: 10.1109/TWC.2025.3583171.

D. F. Cabrera-Castellanos, A. Aragón-Zavala, and G. Castañón-Ávila, “Closing Connectivity Gap: An Overview of Mobile Coverage Solutions for Not-Spots in Rural Zones,” Sensors, vol. 21, no. 23, p. 8037, Dec. 2021, doi: 10.3390/s21238037.

B. O. Manono, B. Mwami, S. Mutavi, and F. Nzilu, “Precision Farming with Smart Sensors: Current State, Challenges and Future Outlook,” Sensors, vol. 26, no. 3, p. 882, Jan. 2026, doi: 10.3390/s26030882.

L. Chen, P. Wu, K. Chitta, B. Jaeger, A. Geiger, and H. Li, “End-to-End Autonomous Driving: Challenges and Frontiers,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 46, no. 12, pp. 10164–10183, Dec. 2024, doi: 10.1109/TPAMI.2024.3435937.

Y. Chen, J. Li, and J. Zhang, “Digitalisation, data-driven dynamic capabilities and responsible innovation: An empirical study of SMEs in China,” Asia Pacific J. Manag., vol. 41, no. 3, pp. 1211–1251, Sep. 2024, doi: 10.1007/s10490-022-09845-6.

Y. Liu and W. Song, “Navigating digital colonialism: Sovereignty models and development paths in the Global South,” Soc. Sci. Humanit. Open, vol. 13, p. 102546, Jun. 2026, doi: 10.1016/j.ssaho.2026.102546.

K. Kousias et al., “Empirical performance analysis and ML-based modeling of 5G non-standalone networks,” Comput. Networks, vol. 241, p. 110207, Mar. 2024, doi: 10.1016/j.comnet.2024.110207.

G. Caso et al., “The Chronicles of 5G Non-Standalone: An Empirical Analysis of Performance and Service Evolution,” IEEE Open J. Commun. Soc., vol. 5, pp. 7380–7399, 2024, doi: 10.1109/OJCOMS.2024.3499370.

A. Ichimescu, N. Popescu, E. C. Popovici, and A. Toma, “Energy Efficiency for 5G and Beyond 5G: Potential, Limitations, and Future Directions,” Sensors, vol. 24, no. 22, p. 7402, Nov. 2024, doi: 10.3390/s24227402.

W. Bin Abbas, Q. Z. Ahmed, F. A. Khan, N. S. Mian, P. I. Lazaridis, and P. Sureephong, “Designing Future Wireless Networks (FWN)s With Net Zero (NZ) and Zero Touch (ZT) Perspective,” IEEE Access, vol. 11, pp. 83301–83321, 2023, doi: 10.1109/ACCESS.2023.3301849.

C. Sudhamani, M. Roslee, J. J. Tiang, and A. U. Rehman, “A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges,” Sensors, vol. 23, no. 4, p. 2356, Feb. 2023, doi: 10.3390/s23042356.

N. S. Sauti, M. E. Daud, M. Kaamin, and S. Sahat, “GIS spatial modelling for seismic risk assessment based on exposure, resilience, and capacity indicators to seismic hazard: a case study of Pahang, Malaysia,” Geomatics, Nat. Hazards Risk, vol. 12, no. 1, pp. 1948–1972, Jan. 2021, doi: 10.1080/19475705.2021.1947903.

G. Vivone, M. Dalla Mura, A. Garzelli, and F. Pacifici, “A Benchmarking Protocol for Pansharpening: Dataset, Preprocessing, and Quality Assessment,” IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., vol. 14, pp. 6102–6118, 2021, doi: 10.1109/JSTARS.2021.3086877.

A. Stocco, B. Pulfer, and P. Tonella, “Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems,” IEEE Trans. Softw. Eng., vol. 49, no. 4, pp. 1928–1940, Apr. 2023, doi: 10.1109/TSE.2022.3202311.

V. K. Dubey, “A comprehensive theoretical framework for sustainable network contracts: Contracting dimensions and Contract classification,” Heliyon, vol. 10, no. 1, p. e23622, 2024, doi: 10.1016/j.heliyon.2023.e23622.

B. Madani, A. Saihi, and A. Abdelfatah, “A Systematic Review of Sustainable Supply Chain Network Design: Optimization Approaches and Research Trends,” Sustain. , vol. 16, no. 8, 2024, doi: 10.3390/su16083226.

B. Hochstrasser, “Quality engineering: a new framework applied to justifying and prioritising IT investments,” Eur. J. Inf. Syst., vol. 2, no. 3, pp. 211–223, 1993, doi: 10.1057/ejis.1993.31.

M. Marques and J. J. W. Powell, “Correction to: Ratings, rankings, research evaluation: how do schools of education behave strategically within stratified UK higher education? (Higher Education, (2020), 79, 5, (829-846), 10.1007/s10734-019-00440-1),” High. Educ., vol. 79, no. 5, p. 847, 2020, doi: 10.1007/s10734-019-00471-8.

I. Ullah, H. El-Sayed, A. Dowhuszko, M. A. Khan, and J. Hämäläinen, “Tilt-Angle Tuning in mmWave Base Stations and Non-terrestrial IAB for Mission-Critical Communications,” IEEE Open J. Commun. Soc., no. March, 2026, doi: 10.1109/OJCOMS.2026.3681768.

H. Zakeri et al., “Path Loss Model Estimation at Indoor Environment by Using Deep Neural Network and CatBoost for Wireless Application,” IEEE Access, vol. 12, no. October, pp. 159070–159085, 2024, doi: 10.1109/ACCESS.2024.3487118.

Z. Xie and Y. Long, “Anti interference and fault tolerant control of UAVs integrating residual based diagnosis disturbance estimation with counter drone strategies,” Sci. Rep., vol. 16, no. 1, p. 9429, Feb. 2026, doi: 10.1038/s41598-026-37984-z.

Q. Wang, P. Ma, and Y. Wang, “Sustainable Heritage Tourism in Transition: Policy, Space, and Authenticity in a UNESCO World Heritage Site,” Sustain., vol. 17, no. 21, pp. 1–25, 2025, doi: 10.3390/su17219619.

A. Bellary, K. Kandasamy, and P. H. Rao, “Analysis of Wave Propagation Models with Radio Network Planning Using Dual Polarized MIMO Antenna for 5G Base Station Applications,” IEEE Access, vol. 10, pp. 29183–29193, 2022, doi: 10.1109/ACCESS.2022.3158948.

B. B. Haile, E. Mutafungwa, and J. Hämäläinen, “A data-driven multiobjective optimization framework for hyperdense 5G network planning,” IEEE Access, vol. 8, pp. 169423–169443, 2020, doi: 10.1109/ACCESS.2020.3023452.

M. Parvini et al., “Spectrum Sharing Schemes From 4G to 5G and Beyond: Protocol Flow, Regulation, Ecosystem, Economic,” IEEE Open J. Commun. Soc., vol. 4, no. October 2022, pp. 464–517, 2023, doi: 10.1109/OJCOMS.2023.3238569.

D. Fazilova, “Uzbekistan’s coordinate system transformation from CS42 to WGS84 using distortion grid model,” Geod. Geodyn., vol. 13, no. 1, pp. 24–30, 2022, doi: 10.1016/j.geog.2021.10.001.

A. Stamou et al., “Satellite Imagery for Comprehensive Urban Morphology and Surface Roughness Analysis: Leveraging GIS Tools and Google Earth Engine for Sustainable Urban Planning,” Urban Sci., vol. 9, no. 6, pp. 1–24, 2025, doi: 10.3390/urbansci9060213.

B. Stroobandt et al., “Auto-induced uplink 4G and 5G RF-EMF exposure assessment using a network monitoring application in different microenvironments across seven European countries,” Environ. Res., vol. 270, no. January, 2025, doi: 10.1016/j.envres.2025.121029.

J. Liu et al., “The Formation of Atolls: New Insights From Numerical Simulations,” J. Geophys. Res. Earth Surf., vol. 127, no. 8, 2022, doi: 10.1029/2022JF006812.

S. Wang, Y. Lai, X. Qiu, Y. Ma, S. M. Easa, and Y. Zheng, “Implications of as-built highway horizontal curves on vehicle dynamics/kinematics characteristics under adaptive cruise control,” IET Intell. Transp. Syst., vol. 19, no. 1, pp. 1–19, 2025, doi: 10.1049/itr2.12604.

M. G. Tezcan, A. Yazar, S. N. Karahan, M. S. Osmanca, and H. O. Altun, “Agentic AI-Based 5G and Beyond Radio Planning Framework,” IEEE Access, no. April, pp. 72395–72413, 2026, doi: 10.1109/ACCESS.2026.3691411.

V. R. F. Guijarro, J. D. Vega Sánchez, M. C. P. Paredes, F. G. Arévalo, and D. P. M. Osorio, “Comparative Evaluation of Radio Network Planning for Different 5G-NR Channel Models on Urban Macro Environments in Quito City,” IEEE Access, vol. 12, pp. 5708–5730, 2024, doi: 10.1109/ACCESS.2024.3350182.

R. K. Behara and A. K. Saha, “Comparative Performance Analysis of Deep Learning-Based Diagnostic and Predictive Models in Grid-Integrated Doubly Fed Induction Generator Wind Turbines,” Energies, vol. 18, no. 17, 2025, doi: 10.3390/en18174725.

O. Putriani, S. Priyanto, I. Muthohar, and M. R. F. Amrozi, “Millimetre Wave and Sub-6 5G Readiness of Mobile Network Big Data for Public Transport Planning,” Sustain., vol. 15, no. 1, 2023, doi: 10.3390/su15010672.

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Yuhanef, A., Pamungkas, M. P. ., Salmeno, A. P. ., & Pratama, F. A. . (2026). Hierarchical Coverage Optimization of 5G New Radio Non-Standalone in Tourism Corridors. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 10(4), 2131-2141. https://doi.org/10.33395/sinkron.v10i4.16738