TY - JOUR
T1 - Trajectory design and resource allocation for UAV energy minimization in a rotary-wing UAV-enabled WPCN
AU - Wang, Zhen
AU - Wen, Miaowen
AU - Dang, Shuping
AU - Yu, Lisu
AU - Wang, Yuhao
N1 - KAUST Repository Item: Exported on 2020-12-25
Acknowledgements: 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.
PY - 2020/12
Y1 - 2020/12
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/666649
UR - https://linkinghub.elsevier.com/retrieve/pii/S1110016820306098
UR - http://www.scopus.com/inward/record.url?scp=85097731185&partnerID=8YFLogxK
U2 - 10.1016/j.aej.2020.11.027
DO - 10.1016/j.aej.2020.11.027
M3 - Article
SN - 1110-0168
JO - Alexandria Engineering Journal
JF - Alexandria Engineering Journal
ER -
