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Aerial small cells using coordinated multiple UAVs : an energy efficiency optimization perspective

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Liu, Chengxiao, Feng, Wei, Wang, Jue, Chen, Yunfei and Ge, Ning (2019) Aerial small cells using coordinated multiple UAVs : an energy efficiency optimization perspective. IEEE Access, 7 . pp. 122838-122848. doi:10.1109/ACCESS.2019.2938256

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Official URL: http://doi.org/10.1109/ACCESS.2019.2938256

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Abstract

Recently, unmanned aerial vehicle (UAV) communications have attracted great research interest. Due to the limited on-board energy, the optimization of energy efficiency (EE) is critical for UAV communications. In this paper, we propose an EE maximization scheme for UAV swarm-enabled small cell networks using large-scale channel state information at the transmitter (CSIT). The proposed scheme provides an agile coordination strategy for the UAVs in a swarm under energy constraints. We first formulate the EE maximization problem, where the objective function is defined as the ratio of the ergodic total data size to the total energy consumption. After that, an accurate approximation is derived to remove the intractable expectation operator in the objective function. As the newly formulated problem is non-convex, we decompose it into two subproblems to optimize the transmit power and the hovering time in an iterative way. Further by leveraging the max-min and linear optimization tools, both subproblems are efficiently solved. Simulation results demonstrate the superiority of our EE maximization scheme.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH): Drone aircraft , Wireless communication systems, Cell phone systems, Wireless communication systems
Journal or Publication Title: IEEE Access
Publisher: IEEE
ISSN: 2169-3536
Official Date: 2019
Dates:
DateEvent
2019Published
24 August 2019Available
24 July 2019Accepted
Volume: 7
Page Range: pp. 122838-122848
DOI: 10.1109/ACCESS.2019.2938256
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
L172041[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61771286[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61701457[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
61771264[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
91638205[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809

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