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UAV Assisted 5G and Future Wireless Networks

This special issue belongs to the section “Communications“.

Special Issue Information

Dear Colleagues,

Unmanned aerial vehicles (UAVs) are becoming increasingly important for 5G and beyond (e.g., 6G) wireless networks by providing a game-changing technology to enhance real-world applications with ubiquitous, stable, and high-performance wireless connections. Despite their huge potential, UAV-assisted networks need to address key challenges such as stringent onboard resources, three-dimensional mobility, speed dynamicity, high link disruption, and large Doppler effects. Currently, extensive research on UAV and wireless networks has attracted significant efforts with fruitful research outcomes. This Special Issue aims to provide a focused platform for sharing state-of-the-art works on enabling technologies and novel applications of UAV assisted 5G and beyond wireless networks, with a particular focus on the following topics (but not limited to them):

  • Network architecture design;
  • UAV control strategies;
  • MIMO and beamforming;
  • Signal processing;
  • Hardware design, including VSLAM and acceleration algorithms;
  • Internet of Things;
  • Novel applications;
  • Multi-UAV systems;
  • Machine learning methods.

Prof. Dr. Chunbo Luo
Dr. Cheng Jin
Prof. Dr. Gun Li
Prof. Dr. Junyu Lai
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • unmanned aerial vehicles
  • 5G and beyond
  • millimeter wave
  • terahertz wave
  • learning-based signal processing
  • beamforming
  • aerial-ground channel modeling
  • space–air–ground integrated networks
  • integrated sensing and communication

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Sensors - ISSN 1424-8220