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

By Zhenyu Xiao, Lipeng Zhu, Yanming Liu, Pengfei Yi, Rui Zhang, Xiang-Gen Xia, Robert Schober. IEEE Communications Surveys and Tutorials, 2021

372 citations recorded by the source corpus.

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.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8f32c2214cd157e1f5772884156c2829889beb8b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. Rui Zhang
  2. Lipeng Zhu
  3. Wenyan Ma
  4. M. Di Renzo
  5. Jie Xu
  6. Zhonghao Lyu
  7. Guangxu Zhu
  8. Mohammad Mahdi Azari

In Electrical and Electronic Engineering

  1. Rui Zhang
  2. Lipeng Zhu
  3. Wenyan Ma
  4. M. Di Renzo
  5. Jie Xu
  6. Symeon Chatzinotas
  7. Guangxu Zhu
  8. Angel E. Lozano

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