使用毫米波蜂窝网络的无人机超视距驾驶

Peng Wang, Mustafa Ozger, C. Cavdar, M. Petrova
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引用次数: 7

摘要

在本文中,我们研究了使用毫米波(mm-Wave)蜂窝网络进行无人驾驶飞行器(uav)远程驾驶的超视距(BVLOS)操作的潜在好处和挑战。我们在5G的超可靠低延迟通信(URLLC)要求下,评估了无人机与服务毫米波基站(BS)之间有限区块长度无线链路的可靠性和延迟。为了进行全面的评估,我们整合了几个现实模型,包括毫米波天线阵列、波束形成、毫米波传播和LOS概率。研究结果表明,BSs之间的合作和协调对于利用毫米波技术进行无人机驾驶至关重要。我们分析了毫米波链路在代表不同干扰缓解水平的三种情况下的性能。我们表明,在一定的消息大小和块长度范围内,假设合作时,可以实现URLLC要求,数据包错误概率为10−5,延迟低于1 ms。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Beyond Visual Line of Sight Piloting of UAVs Using Millimeter-Wave Cellular Networks
In this paper, we investigate the potential benefits and challenges of using millimeter wave (mm-Wave) cellular network to carry out Beyond Visual Line of Sight (BVLOS) operations for remote piloting of Unmanned Aerial Vehicles (UAVs). We evaluate the reliability and latency of the wireless link between a UAV and a serving mm-Wave Base Station (BS) in the finite blocklength regime with the ultra reliable low latency communications (URLLC) requirements of 5G. To perform a comprehensive evaluation, we integrate several realistic models including mm-Wave antenna arrays, beamforming, mm-Wave propagation, and LOS probabilities. Our results show that cooperation and coordination among BSs are critical for UAV piloting using mm-Wave technology. We analyze the performance of mm-Wave links under three scenarios representing different levels of interference mitigation. We show that there is a certain range of message size and block length where it is possible to achieve URLLC requirements with packet error probability of 10−5 and latency below 1 ms when assuming cooperation.
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