英国利物浦市地区的5G高密度需求数据集
Mukesh Kumar Maheshwari1,2, Alessandro Raschellà3, Michael Mackay1
1School of Computer Science & Mathematics, Liverpool John Moores University, Liverpool, L3 3AF, UK.
Scientific data
|December 10, 2025
概括
本研究介绍了来自现实世界项目的新型5G密集部署数据集,使无线网络分析成为可能. 该数据集使用数字双胞胎技术生成,为用户行为和网络性能提供了有价值的见解.
科学领域:
- 电信工程 电信工程 电信工程
- 数据科学数据科学数据科学
- 网络性能分析 网络性能分析
背景情况:
- 无线网络数据为用户行为提供了洞察力,但往往无法访问.
- 从服务提供商获得实时数据采集具有重大挑战.
- 对于5G网络研究,需要现实的,公开可用的数据集至关重要.
研究的目的:
- 为研究和开发提供全面的5G密集部署数据集.
- 为了解决公开可用的高保真无线网络数据的稀缺性.
- 为了促进用户行为和网络性能的分析,预测和优化.
主要方法:
- 利用数字双胞胎技术生成一个现实的5G网络数据集.
- 使用系统级模拟器进行数据建模和分析.
- 收集了来自两个高密度活动场所的数据:盐与焦油和利物浦的ACC竞技场.
主要成果:
- 创建了一个数据集,包含两个场所的15,000名用户.
- 包括关键性能指标,如用户位置,流量类型,铁路协会,SINR,PRB,吞吐量和BLER.
- 数据集通过实验测量验证并以可访问的格式发布.
结论:
- 提出的5G数据集是了解密集环境中的用户行为的一个有价值的资源.
- 结合数字双胞胎和系统级模拟的方法论为数据集生成提供了可行的方法.
- 该数据集的公开发布将促进进一步研究5G网络优化和性能分析.
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