Abstract
This paper investigates wireless information transfer (WIT) and wireless energy transfer (WET) in an unmanned aerial vehicle (UAV) enabled downlink wireless communication system, where both the UAV and the ground terminal (GT) are battery-empowered. When the UAV transmits energy to the GT, the GT harvests energy and stores in its battery, and when the UAV transmits information to the GT, the GT uses the stored energy from the battery to receive and decode the information. We formulate the UAV’s optimal WIT and WET design as a constrained Markov decision process (MDP) problem over a finite time horizon. Due to the high complexity to solve this problem, we then propose a suboptimal policy by studying the optimal policy structure. Numerical results show that the proposed suboptimal policy can achieve close-to-optimal performance. We also show the impact of the UAV’s altitude on the throughput performance.
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Notes
- 1.
Results of the single-GT scenario in this paper can be extended to the multi-GT scenario and will be studied in our future work.
- 2.
Besides supporting the downlink transmissions, we assume that the UAV also consumes a constant amount of energy to support all other operations (e.g., propulsion in air) during the T slots, which is thus not considered in the UAV transmission policy design.
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Acknowledgements
This work was supported in part by grants from China NSFC (61601308, 61872248), Guangdong Provincial Science and Technology Development Special Fund project (2017A010101033, 2017A030312008), Shenzhen Science and Technology Funding (JCYJ20170818093658379, JCYJ20170302140946299, JCYJ20170412110753954), Tencent “Rhinoceros Birds”-Scientific Research Foundation for Young Teachers of Shenzhen University,Guangdong Talent Project 2015TX01X111 and GDUPS (2015).
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Lai, Y., Che, Y.L., Luo, S., Ouyang, J., Wu, K. (2019). Optimal Design on UAV-Enabled Downlink Wireless Information and Energy Transfer. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_59
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DOI: https://doi.org/10.1007/978-981-13-6264-4_59
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