Accessing From the Sky: A Tutorial on UAV Communications for 5G and Beyond

By Yong Zeng, Qingqing Wu, Rui Zhang. Proceedings of the IEEE, 2019

1,421 citations recorded by the source corpus.

Unmanned aerial vehicles (UAVs) have found numerous applications and are expected to bring fertile business opportunities in the next decade. Among various enabling technologies for UAVs, wireless communication is essential and has drawn significantly growing attention in recent years. Compared to the conventional terrestrial communications, UAVs’ communications face new challenges due to their high altitude above the ground and great flexibility of movement in the 3-D space. Several critical issues arise, including the line-of-sight (LoS) dominant UAV-ground channels and induced strong aerial-terrestrial network interference, the distinct communication quality-of-service (QoS) requirements for UAV control messages versus payload data, the stringent constraints imposed by the size, weight, and power (SWAP) limitations of UAVs, as well as the exploitation of the new design degree of freedom (DoF) brought by the highly controllable 3-D UAV mobility. In this article, we give a tutorial overview of the recent advances in UAV communications to address the above issues, with an emphasis on how to integrate UAVs into the forthcoming fifth-generation (5G) and future cellular networks. In particular, we partition our discussion into two promising research and application frameworks of UAV communications, namely UAV-assisted wireless communications and cellular-connected UAVs, where UAVs are integrated into the network as new aerial communication platforms and users, respectively. Furthermore, we point out promising directions for future research.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/793c2fae0c3d0b8c1084e0c9e10e76cea6632b79

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. Qingqing Wu
  3. Yong Zeng
  4. Shuowen Zhang
  5. Changsheng You
  6. Jie Xu
  7. Robert Schober
  8. Beixiong Zheng

In Computer Vision and Pattern Recognition

  1. Rui Zhang
  2. Qingqing Wu
  3. Sundeep Rangan
  4. Robert Schober
  5. Yonina C. Eldar
  6. Yong Zeng
  7. Khaled Ben Letaief
  8. Quoc-Viet Pham

In Electrical and Electronic Engineering

  1. Rui Zhang
  2. Qingqing Wu
  3. Robert Schober
  4. Yong Zeng
  5. Changsheng You
  6. Shuowen Zhang
  7. M. Di Renzo
  8. Merouane Debbah

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