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首页> 外文会议>2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications >Method for detection of airborne UEs based on LTE radio measurements
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Method for detection of airborne UEs based on LTE radio measurements

机译：基于LTE无线测量的机载UE的检测方法

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摘要

Unmanned Aerial Vehicles (UAVs) are expected to be connected through cellular networks. As the radio characteristics are different for airborne UEs compared to terrestrial UEs, it is beneficial to identify whether a UE is airborne (on a UAV) or on the ground, such that interference and mobility management can be optimized for UAVs separately from terrestrial UEs. In this paper, we present a classification algorithm using existing LTE UE radio measurements to identify whether a UE is airborne or terrestrial. The method is verified with LTE measurements made in a rural area at different heights, including terrestrial measurements and it is shown that the method in 3 out of the 4 different measurement cases can detect a UE to be airborne with 99% likelihood, while the fourth case still can classify a UE correctly in 95% of the cases. The right classification can further be improved by taking multiple consecutive samples into account before making a classification decision.
机译：无人机有望通过蜂窝网络连接。由于空中UE与地面UE相比无线电特性不同，因此识别UE是空中（在UAV上）还是在地面上是有益的，从而可以针对UAV与地面UE分开来优化干扰和移动性管理。在本文中，我们提出了一种使用现有LTE UE无线电测量结果的分类算法，以识别UE是机载还是地面用户。该方法通过在不同高度的农村地区进行的LTE测量（包括地面测量）进行了验证，结果表明，在4种不同测量案例中，有3种可以检测到机载UE的可能性为99％，而第四种在95％的情况下，案例仍然可以正确地将UE分类。通过在做出分类决策之前考虑多个连续样本，可以进一步改善正确的分类。

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