UAV-Ground BS Coordinated NOMA with Joint User Scheduling, Power Allocation and Trajectory Design

Zeng, Haiyong, Zhu, Xu ORCID: 0000-0002-7371-4595, Jiang, Yufei and Wei, Zhongxiang
(2020) UAV-Ground BS Coordinated NOMA with Joint User Scheduling, Power Allocation and Trajectory Design. In: ICC 2020 - 2020 IEEE International Conference on Communications (ICC), 2020-6-7 - 2020-6-11.

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We propose an unmanned aerial vehicle (UAV) ground base station (GBS) coordinated NOMA scheme where UAV and GBS jointly serve the cell-edge users. To the best of our knowledge, this is the first work to investigate air-ground BSs coordination for UAV-assisted NOMA systems, by taking advantage of the interference between UAV and GBS. Therefore, the proposed UAV-GBS coordinated NOMA scheme achieves much higher sum rate of cell-edge users than the non-coordinated UAV-assisted NOMA schemes where interference is suppressed as much as possible. The proposed scheme also outperforms GBSs coordinated NOMA due to more flexible and cost-effective interference management, thanks to the deployment of low-cost UAV BS. We conduct joint optimization of power allocation, user scheduling and UAV trajectory for the UAV-GBS coordinated system. A closed-form optimal solution to power allocation is derived. In addition, a dedicated successive interference cancellation (SIC) ordering approach is proposed. It is proven that the selection of a cell-center user with higher SIC order contributes to a higher rate of cell-edge user, based on which an SIC order based user scheduling algorithm for both cell-center and cell-edge users is presented.

Item Type: Conference or Workshop Item (Unspecified)
Uncontrolled Keywords: NOMA, silicon carbide, resource management, interference, trajectory, unmanned aerial vehicles, optimization
Divisions: Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User: Symplectic Admin
Date Deposited: 08 Apr 2021 09:57
Last Modified: 18 Jan 2023 22:54
DOI: 10.1109/icc40277.2020.9149352
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