论文标题

来自两层3.6GHz光谱网络的无人机用户QoS的实验评估

Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network

论文作者

Galkin, Boris, Fonseca, Erika, Lee, Gavin, Duff, Conor, Kelly, Marvin, Emmanuel, Edward, Dusparic, Ivana

论文摘要

无人机(UAV)技术越来越多地用于视频监视和交付等各种应用中。为了实现无人机的安全有效使用,需要将设备连接到蜂窝网络中。现有关于无人机细胞连接性的研究表明,无人机在现有网络(例如强烈干扰和天线未对准)中遇到重大问题。在这项工作中,我们在都柏林城市智能码头的两个不同区域中连接到实验性的两层蜂窝网络时,对无人机用户的性能进行了新的测量活动,其中包括大量的Mimo Mimo Macrocells和无线折叠的小单元。我们测量收到的参考信号(RSRP),参考信号接收质量(RSRQ),信号与干扰和噪声比(SINR),下行链路吞吐量和小细胞移交速率。我们的结果表明,由于天线未对准等问题,增加无人机高度降低了这两个层的性能。但是,小单元层可以在整个无人机高度范围内保持相对稳定的性能,这表明无人机用户可以在飞行过程中成功连接到小单元。此外,我们证明,虽然无人机切换率在不同高度下显着波动,但总体观察到的切换率非常低。我们的结果强调了城市地区小细胞提供与无人机的连通性的潜力。

Unmanned Aerial Vehicle (UAV) technology is becoming increasingly used in a variety of applications such as video surveillance and deliveries. To enable safe and efficient use of UAVs, the devices will need to be connected into cellular networks. Existing research on UAV cellular connectivity shows that UAVs encounter significant issues with existing networks, such as strong interference and antenna misalignment. In this work, we perform a novel measurement campaign of the performance of a UAV user when it connects to an experimental two-tier cellular network in two different areas of Dublin city's Smart Docklands, which includes massive MIMO macrocells and wirelessly-backhauled small cells. We measure Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Signal to Interference and Noise Ratio (SINR), the downlink throughput, and the small cell handover rate. Our results show that increasing the UAV height reduces the performance in both tiers, due to issues such as antenna misalignment. The small cell tier, however, can maintain relatively stable performance across the entire range of UAV heights, suggesting that UAV users can successfully connect to small cells during their flight. Furthermore, we demonstrate that while the UAV handover rate significantly fluctuates at different heights, the overall observed handover rates are very low. Our results highlight the potential for small cells in urban areas to provide connectivity to UAVs.

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