Trajectory design and resource allocation for UAV energy minimization in a rotary-wing UAV-enabled WPCN
Type
ArticleDate
2020-12Submitted Date
2020-07-15Permanent link to this record
http://hdl.handle.net/10754/666649
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Due to the low efficiency of energy harvest (EH) for the traditional wireless powered communication network (WPCN), we propose a communication scheme based on unmanned aerial vehicle (UAV)-enabled WPCN, which can greatly improve the EH efficiency problem. In this paper, the UAV trajectory, time allocation, transmit power of UAVs, scheduling of wireless information transfer (WIT) and wireless power transfer (WPT) are jointly optimized to minimize the whole energy consumption. To solve the formulated non-convex problem with multiple constraints and attain locally optimal solution, an iterative algorithm is proposed. Simulations show that our proposed algorithm is superior to other benchmark algorithms.Citation
Wang, Z., Wen, M., Dang, S., Yu, L., & Wang, Y. (2020). Trajectory design and resource allocation for UAV energy minimization in a rotary-wing UAV-enabled WPCN. Alexandria Engineering Journal. doi:10.1016/j.aej.2020.11.027Sponsors
The work of Z. Wang was supported in part by the National Natural Science Foundation of China under Grant 61661029, 61761030, and 62001201. The work of M. Wen was supported in part by the Fundamental Research Funds for the Central Universities under Grant 2019SJ02. The work of L. Yu was supported in part by the State Key Laboratory of Computer Architecture (ICT, CAS) Open Project under Grant CARCHB202019. The work of Y. Wang was supported in part by the National Natural Science Foundation of China under Grant 62061030 and 61661028, the National Key Research and Development Project under Grant 2018YFB1404303 and 2018YFB14043033.Publisher
Elsevier BVJournal
Alexandria Engineering JournalAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S1110016820306098ae974a485f413a2113503eed53cd6c53
10.1016/j.aej.2020.11.027
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Except where otherwise noted, this item's license is described as This is an open access article under the CC BY-NC-ND license.