Ray Tracing Analysis for UAV-Assisted Integrated Access and Backhaul Millimeter Wave Networks
Ray Tracing Analysis for UAV-Assisted Integrated Access and Backhaul Millimeter Wave Networks
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DOI：
10.1109/wowmom.2019.8792969
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发表时间：
2019-06
期刊：
影响因子：
--
通讯作者：
A. Pérez;A. Fouda;A. Ibrahim
中科院分区：
文献类型：
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作者：
A. Pérez;A. Fouda;A. Ibrahim
在蜂窝通信中使用毫米波（mmWave）频谱最近引起了越来越多的兴趣，以支持预期的大量增长的业务需求。然而，毫米波频率下的高路径损耗带来了严峻的挑战。在本文中，我们分析了在集成接入和回程（IAB）毫米波蜂窝场景中使用无人机（uav）作为悬停中继的潜在覆盖增益。具体来说，我们利用WinProp软件包，该软件包采用光线追踪方法，研究了在曼哈顿环境中30和60 GHz频段的室外毫米波信道的传播特性。为此，我们提出在WinProp软件中实现放大转发（AF）和解码转发（DF）中继机制。我们展示了如何根据接入和回程链路的覆盖光线追踪图来定义无人机的3D部署。此外，我们还提出了一种用于自动对焦中继的自适应无人机发射功率。借助光线追踪模拟，我们证明了所提出的中继模式在下行链路覆盖和接收信噪比（SINR）方面的性能增益。
The use of Millimeter-wave (mmWave) spectrum in cellular communications has recently attracted growing interest to support the expected massive increase in traffic demands. However, the high path-loss at mmWave frequencies poses severe challenges. In this paper, we analyze the potential coverage gains of using unmanned aerial vehicles (UAVs), as hovering relays, in integrated access and backhaul (IAB) mmWave cellular scenarios. Specifically, we utilize the WinProp software package, which employs ray tracing methodology, to study the propagation characteristics of outdoor mmWave channels at 30 and 60 GHz frequency bands in a Manhattan-like environment. In doing so, we propose the implementation of amplify-and-forward (AF) and decode-and-forward (DF) relaying mechanisms in the WinProp software. We show how the 3D deployment of UAVs can be defined based on the coverage ray tracing maps at access and backhaul links. Furthermore, we propose an adaptive UAV transmission power for the AF relaying. We demonstrate, with the aid of ray tracing simulations, the performance gains of the proposed relaying modes in terms of downlink coverage, and the received signal to interference and noise ratio (SINR).