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Continuous high-accuracy radio positioning of cars in ultra-dense 5G networks

机译:超密集5G网络中汽车的连续高精度无线电定位

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The upcoming fifth generation (5G) radio networks will be the game changer of future societies. In addition to obvious improvements in wireless communications, 5G enables also highly accurate user equipment (UE) positioning that is carried out on the network side. Such a solution provides ubiquitous positioning services without draining the batteries of the UEs. In this paper, we concentrate on positioning methods that suits the future needs of automotive transportation and intelligent transportation system (ITS). In particular, we demonstrate how the location estimates can be obtained in 5G ultra-dense networks (UDNs) efficiently and even in a proactive manner where the UE locations can be predicted to some extent. Numerical performance analysis will then illustrate that the proposed 5G-based network-centric positioning solutions are well-suited for car and traffic applications, providing even sub-meter range positioning accuracy.
机译:即将到来的第五代(5G)无线电网络将成为未来社会的游戏规则改变者。除了在无线通信方面的明显改进外,5G还支持在网络侧执行的高精度用户设备(UE)定位。这样的解决方案提供了无处不在的定位服务,而不会耗尽UE的电池。在本文中,我们将重点介绍适合未来汽车运输和智能运输系统(ITS)需求的定位方法。特别是,我们演示了如何在5G超密集网络(UDN)中有效地甚至在可以在某种程度上预测UE位置的主动方式下获得位置估计。数值性能分析将说明所提出的基于5G的以网络为中心的定位解决方案非常适合汽车和交通应用,甚至提供亚米范围的定位精度。

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