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arXiv · 1801.07188

Resource Allocation for Solar Powered UAV Communication Systems

Yan Sun·Derrick Wing Kwan Ng·Dongfang Xu·Linglong Dai·Robert Schober
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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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Yan Sun, Derrick Wing Kwan Ng, Dongfang Xu, Linglong Dai, Robert Schober. 2018-01-22. Resource Allocation for Solar Powered UAV Communication Systems. https://arxiv.org/abs/1801.07188

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