Paper
13 October 2022 Deployment algorithms of UAV flying base stations based on 5G
Xi Song, Xiaoqin Zhu, Yong Yang, Wenhui Li, Guoliang Ding, Renping Song, Shigang Duan
Author Affiliations +
Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 1228708 (2022) https://doi.org/10.1117/12.2640830
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China
Abstract
The purpose of this paper is to discuss some 5G technologies and to emphasize the nature of uav-assisted 5g networks by extending the value of FBS deployment. Research to address network-related issues such as energy constraints, optimal 3D deployment, and path planning will be discussed. Finally, this paper will study FBS trajectory optimization and MBS optimal cell edge layout.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xi Song, Xiaoqin Zhu, Yong Yang, Wenhui Li, Guoliang Ding, Renping Song, and Shigang Duan "Deployment algorithms of UAV flying base stations based on 5G", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 1228708 (13 October 2022); https://doi.org/10.1117/12.2640830
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KEYWORDS
Unmanned aerial vehicles

Monte Carlo methods

Telecommunications

Antennas

Extremely high frequency

Internet

Computer programming

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