Can you find me now? Evaluation of network-based localization in a 4G LTE network
Can you find me now? Evaluation of network-based localization in a 4G LTE network
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DOI：
10.1109/infocom.2017.8057097
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发表时间：
2017-05
期刊：
影响因子：
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通讯作者：
R. Margolies;R. A. Becker;S. Byers;S. Deb;R. Jana;Simon Urbanek;C. Volinsky
中科院分区：
文献类型：
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作者：
R. Margolies;R. A. Becker;S. Byers;S. Deb;R. Jana;Simon Urbanek;C. Volinsky
用户位置对蜂窝网络运营商来说至关重要。它通常用于网络容量规划，并帮助分析服务和网络诊断。然而，现有的定位技术依赖于操作员不可用的用户提供的信息(例如，到达角)，并且通常需要大量的努力来收集训练数据。我们的主要贡献是设计和评估基于网络的本地化(NBL)系统，用于本地化4G LTE网络中的用户。NBL系统由两个阶段组成。在离线阶段，我们基于大规模众包信道测量活动开发射频覆盖图。然后，在在线阶段，我们提出了一种定位算法，以将射频测量(作为正常网络操作的一部分已经收集)与覆盖图位置快速匹配。该系统比相关工作更实用，因为它不对用户移动性做出任何假设，也不需要昂贵的人工训练测量。尽管有这些现实的假设，我们在全国4G LTE网络中的广泛评估表明，NBL系统实现了与相关工作相当的定位精度(即小区覆盖区域的5%的中值精度)。
User location is of critical importance to cellular network operators. It is often used for network capacity planning and to aid in the analysis of service and network diagnostics. However, existing localization techniques rely on user-provided information (e.g., Angle-of-Arrival), which are not available to the operator, and often require a significant effort to collect training data. Our main contribution is the design and evaluation of the Network-Based Localization (NBL) System for localizing a user in a 4G LTE network. The NBL System consists of 2 stages. In an offline stage, we develop RF coverage maps based on a large-scale crowd-sourced channel measurement campaign. Then, in an online stage, we present a localization algorithm to quickly match RF measurements (which are already collected as part of normal network operation) to coverage map locations. The system is more practical than related works, as it does not make any assumptions about user mobility, nor does it require expensive manual training measurements. Despite the realistic assumptions, our extensive evaluations in a national 4G LTE network show that the NBL System achieves a localization accuracy which is comparable to related works (i.e., a median accuracy of 5% of the cell's coverage region).