Computer Vision Aided mmWave UAV Communication Systems

Unmanned aerial vehicle (UAV) communication systems usually operate in harsh scenarios, which require accurate information about the topology and wireless channel to achieve the desired transmission performance. Therefore, when millimeter wave (mmWave) communication with its intrinsic line-of-sight...

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Bibliographic Details
Published in:IEEE internet of things journal 2023-07, Vol.10 (14), p.1-1
Main Authors: Hua, Zizheng, Lu, Yang, Pan, Gaofeng, Gao, Kun, da Costa, Daniel Benevides, Chen, Su
Format: Article
Language:English
Subjects:
Autonomous aerial vehicles
Communication systems
Communications systems
Computer vision
deep learning
energy efficiency
Line of sight communication
Localization
Location awareness
Millimeter wave communication
Millimeter waves
Object detection
Optimization
Simultaneous localization and mapping
Topology
Trajectories
trajectory optimization
unmanned aerial vehicle communication
Unmanned aerial vehicles
Wireless communication
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Summary:Unmanned aerial vehicle (UAV) communication systems usually operate in harsh scenarios, which require accurate information about the topology and wireless channel to achieve the desired transmission performance. Therefore, when millimeter wave (mmWave) communication with its intrinsic line-of-sight (LoS) condition is adopted, accurate target localization is essential to determine the spatial relationship between the UAV and the grounded receivers (Rxs). In this paper, a computer-vision (CV)-aided jointly optimization scheme of flight trajectory and power allocation is designed for mmWave UAV communication systems by utilizing the visual information captured via cameras equipped at the UAV. Compared with traditional schemes, the implementation cost and overhead can be greatly saved as no radio frequency transmissions are required in the proposed localization scheme. In addition, the transmit power at the UAV is jointly optimized with its flight trajectory in two different cases. Finally, simulation results are presented to demonstrate the efficiency of the proposed schemes.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2023.3251377