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English(EN) The Vienna 4G/5G Drive-Test Dataset

发布维也纳4G/5G路测数据集,用于移动网络机器学习

研究人员发布了维也纳4G/5G路测数据集(Vienna 4G/5G Drive-Test Dataset),这是一个全面的开放数据集,旨在推动机器学习在移动网络分析中的应用。该数据集包含在奥地利维也纳收集的地理参考的长期演进(LTE)和5G新空口(NR)测量数据。它结合了被动扫描仪观测和主动手机日志,提供了网络侧和用户侧的视角。该数据集还包含推断的基站部署细节以及高分辨率的建筑和地形模型,以支持几何条件学习和校准。 AI

影响 为移动网络中环境感知学习和传播建模的可复现基准测试和开发提供了支持。

排序理由 该集群包含一篇详细介绍用于机器学习研究的新数据集的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

发布维也纳4G/5G路测数据集,用于移动网络机器学习

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该集群包含一篇详细介绍用于机器学习研究的新数据集的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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High
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Wilfried Wiedner, Lukas Eller, Mariam Mussbah, Dominik R\"ossler, Valerian Maresch, Philipp Svoboda, Markus Rupp ·

    维也纳 4G/5G 路测数据集

    arXiv:2603.02638v2 Announce Type: replace-cross Abstract: Machine learning for mobile network analysis, planning, and optimization is often limited by the lack of large, comprehensive real-world datasets. This paper introduces the Vienna 4G/5G Drive-Test Dataset, a city-scale ope…