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  5. A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking

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Article
English
2021

A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking

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English
2021
IEEE Communications Surveys & Tutorials
Vol 24 (1)
DOI: 10.1109/comst.2021.3124512

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Rui Zhang
Rui Zhang

The Chinese University of Hong Kong

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Zhenyu Xiao
Lipeng Zhu
Yanming Liu
+4 more

Abstract

Unmanned aerial vehicles (UAVs) have found widespread commercial, civilian, and military applications. Wireless communication has always been one of the core technologies for UAV. However, the communication capacity is becoming a bottleneck for UAV to support more challenging application scenarios. The heavily-occupied sub-6 GHz frequency band is not sufficient to meet the ultra high-data-traffic requirements. The utilization of the millimeter-wave (mmWave) frequency bands is a promising direction for UAV communications, where large antenna arrays can be packed in a small area on the UAV to perform three-dimensional (3D) beamforming. On the other hand, UAVs serving as aerial access points or relays can significantly enhance the coverage and quality of service of the terrestrial mmWave cellular networks. In this paper, we provide a comprehensive survey on mmWave beamforming enabled UAV communications and networking. The technical potential of and challenges for mmWave-UAV communications are presented first. Then, we provide an overview on relevant mmWave antenna structures and channel modeling. Subsequently, the technologies and solutions for UAV-connected mmWave cellular networks and mmWave-UAV ad hoc networks are reviewed, respectively. Finally, we present open issues and promising directions for future research in mmWave beamforming enabled UAV communications and networking.

How to cite this publication

Zhenyu Xiao, Lipeng Zhu, Yanming Liu, Pengfei Yi, Rui Zhang, Xiang‐Gen Xia, Robert Schober (2021). A Survey on Millimeter-Wave Beamforming Enabled UAV Communications and Networking. IEEE Communications Surveys & Tutorials, 24(1), pp. 557-610, DOI: 10.1109/comst.2021.3124512.

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Publication Details

Type

Article

Year

2021

Authors

7

Datasets

0

Total Files

0

Language

English

Journal

IEEE Communications Surveys & Tutorials

DOI

10.1109/comst.2021.3124512

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