Optimal Bin Width for Autonomous Coverage Estimation Using MDT Reports in the Presence of User Positioning Error
Optimal Bin Width for Autonomous Coverage Estimation Using MDT Reports in the Presence of User Positioning Error
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DOI：
10.1109/lcomm.2019.2899094
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发表时间：
2019-04-01
期刊：
影响因子：
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通讯作者：
Imran, Ali
中科院分区：
文献类型：
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作者：
Qureshi, Haneya Naeem;Imran, Ali
最小化驱动测试（MDT）允许使用用户设备测量报告估计基站的覆盖范围，目的是消除驱动测试的需要。在这封信中，我们量化了基于mdt的自主覆盖估计中的各种类型的误差，这些误差源于不准确的用户定位，例如，由于GPS测量的不确定性和将覆盖区域划分为bin而导致的量化。通过研究量化和定位误差之间的相互作用来估计覆盖，我们证明了存在一个最优的覆盖估计箱宽，并确定了它作为定位误差和用户密度的函数。这可以使网络运营商为给定的定位精度配置bin大小，从而产生最准确的基于mdt的覆盖估计。
Minimization of drive test (MDT) allows coverage to be estimated at the base station using user equipment measurement reports with the objective of eliminating the need for drive tests. In this letter, we quantify various types of errors in MDT-based autonomous coverage estimation that stem from inaccurate user positioning, for example, as a result of GPS measurement uncertainties and quantization due to dividing the coverage area into bins. By investigating the interplay between quantization and positioning error to estimate coverage, we show that there exists an optimal bin width for coverage estimation and determine it as a function of positioning error and user density. This can enable network operators to configure the bin size for given positioning accuracy that results in the most accurate MDT-based coverage estimation.