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

Zeng, H; Zhu, X; Jiang, Y; Wei, Z; (2020) UAV-Ground BS Coordinated NOMA with Joint User Scheduling, Power Allocation and Trajectory Design. In: Proceedings of the ICC 2020 - 2020 IEEE International Conference on Communications (ICC). The Institute of Electrical and Electronics Engineers (IEEE) Green open access

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Abstract

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.

Type: Proceedings paper
Title: UAV-Ground BS Coordinated NOMA with Joint User Scheduling, Power Allocation and Trajectory Design
Event: ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
ISBN-13: 978-1-7281-5089-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ICC40277.2020.9149352
Publisher version: https://doi.org/10.1109/ICC40277.2020.9149352
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: NOMA, Silicon carbide, Resource management, Interference, Trajectory, Unmanned aerial vehicles, Optimization
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10109683
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