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This study explores the relationship between user density and the performance of fifth generation (5G) networks, focusing on latency behavior within a specific region using a large internet dataset. The analysis employs clustering techniques to determine network density and statistical modeling to evaluate latency dynamics. Results highlight a weak and statistically insignificant correlation between user density and latency, influenced by clustering methodology, dataset scope, and advancements in 5G traffic management technologies. The findings emphasize the importance of incorporating diverse and larger datasets, along with more sophisticated clustering methodologies, to accurately evaluate and enhance 5G network performance, particularly under conditions of varying user density.

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Statistical Analysis of 5G Network Latency Based on Density-Based Clustering Method

  • 会议论文

  • 发表日期：

    2026年

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  • Yiğit Kaan Bozkurt,
  • Ibraheem Shayea,
  • Abdulraqeb Alhammadi,
  • Zhetkerbay Askhat

摘要

This study explores the relationship between user density and the performance of fifth generation (5G) networks, focusing on latency behavior within a specific region using a large internet dataset. The analysis employs clustering techniques to determine network density and statistical modeling to evaluate latency dynamics. Results highlight a weak and statistically insignificant correlation between user density and latency, influenced by clustering methodology, dataset scope, and advancements in 5G traffic management technologies. The findings emphasize the importance of incorporating diverse and larger datasets, along with more sophisticated clustering methodologies, to accurately evaluate and enhance 5G network performance, particularly under conditions of varying user density.