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All Journal International Journal of Quantitative Research and Modeling
Hilda Azkiyah
Indonesian Operations Research Association, Bandung, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Physics

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Quantitative Analysis of 5G Network Performance Using Throughput, Delay, and Packet Loss Parameters in Urban Areas Rizki Apriva Hidayana; Hilda Azkiyah
International Journal of Quantitative Research and Modeling Vol. 7 No. 3 (2026): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v7i3.1449

Abstract

This study quantitatively evaluates 5G network performance in an urban environment by integrating throughput, delay, and packet loss as complementary quality-of-service indicators and examining their spatial variation across functional urban zones. A field-based descriptive-evaluative design was implemented using repeated standardized measurements at twelve monitoring points distributed across commercial, educational, high-density public, and residential areas. From 360 measurement sessions, 352 valid sessions (97.8%) were retained after systematic quality control. Descriptive statistics were combined with non-parametric comparative analysis using the Kruskal Wallis test and Bonferroni-adjusted Dunn post-hoc comparisons, while Spearman correlations were used to examine associations between radio-level indicators and QoS outcomes. The pooled measurements produced a mean throughput of 177.48 Mbps, mean delay of 34.84 ms, and mean packet loss of 1.01%. Significant differences were identified across urban zones for throughput, delay, and packet loss (all p < 0.001). The residential zone recorded 241.65 Mbps throughput, 26.45 ms delay, and 0.45% packet loss, whereas the high-density public zone recorded 112.40 Mbps, 45.95 ms, and 1.79%, respectively. SINR showed the strongest associations with throughput, delay, and packet loss. The findings demonstrate that operational 5G QoS is strongly spatially heterogeneous and cannot be adequately characterized by coverage availability alone. The study provides an empirical basis for location-sensitive network planning and capacity-oriented optimization in heterogeneous urban environments, supporting more reliable service evaluation and infrastructure management.
Co-Authors Rizki Apriva Hidayana