Resource Allocation for Solar Powered UAV Communication Systems
Sun Y, Wing Kwan Ng D, Xu D, Dai L, Schober R (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2018-June
Conference Proceedings Title: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Event location: Kalamata
ISBN: 9781538635124
DOI: 10.1109/SPAWC.2018.8445944
Abstract
In this paper, we investigate the resource allocation design for multicarrier (MC) systems employing a solar powered unmanned aerial vehicle (UAV) for providing communication services to multiple downlink users. We study the joint design of the three-dimensional positioning of the UAV and the power and subcarrier allocation for maximization of the system sum throughput. The algorithm design is formulated as a mixed-integer non-convex optimization problem, which requires a prohibitive computational complexity for obtaining the globally optimal solution. Therefore, a low-complexity suboptimal iterative solution based on successive convex approximation is proposed. Simulation results confirm that the proposed suboptimal algorithm achieves a substantially higher system sum throughput compared to several baseline schemes.
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APA:
Sun, Y., Wing Kwan Ng, D., Xu, D., Dai, L., & Schober, R. (2018). Resource Allocation for Solar Powered UAV Communication Systems. In IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC. Kalamata, GR: Institute of Electrical and Electronics Engineers Inc..
MLA:
Sun, Yan, et al. "Resource Allocation for Solar Powered UAV Communication Systems." Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2018, Kalamata Institute of Electrical and Electronics Engineers Inc., 2018.
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