Optimum Battery Weight for Maximizing Available Energy in UAV-Enabled Wireless Communications

Hua Yan; Shuang-Hua Yang; Yunfei Chen; Suhaib Ahmed Fahmy

doi:10.1109/LWC.2021.3069078

Optimum Battery Weight for Maximizing Available Energy in UAV-Enabled Wireless Communications

Hua Yan, Shuang-Hua Yang, Yunfei Chen, Suhaib Ahmed Fahmy

Computer, Electrical and Mathematical Science and Engineering

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

Battery-powered unmanned aerial vehicles (UAVs) have been widely used as enablers of wireless networks. In this letter, the optimal battery weight for UAV-enabled wireless sensor networks is studied. The energy available for communication by considering propulsion energy consumption is maximized. Both numerical and approximate solutions to the optimal battery weight are derived. Numerical results show that both vertical and horizontal flight speeds and the gross weight of the UAV have great impact on the optimal battery weight.

Original language	English (US)
Pages (from-to)	1-1
Number of pages	1
Journal	IEEE Wireless Communications Letters
DOIs	https://doi.org/10.1109/LWC.2021.3069078
State	Published - Mar 26 2021

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering
Physics and Astronomy (miscellaneous)

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10.1109/LWC.2021.3069078

https://repository.kaust.edu.sa/bitstream/10754/668429/1/wcommlet2021-yan.pdf

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title = "Optimum Battery Weight for Maximizing Available Energy in UAV-Enabled Wireless Communications",

abstract = "Battery-powered unmanned aerial vehicles (UAVs) have been widely used as enablers of wireless networks. In this letter, the optimal battery weight for UAV-enabled wireless sensor networks is studied. The energy available for communication by considering propulsion energy consumption is maximized. Both numerical and approximate solutions to the optimal battery weight are derived. Numerical results show that both vertical and horizontal flight speeds and the gross weight of the UAV have great impact on the optimal battery weight.",

author = "Hua Yan and Shuang-Hua Yang and Yunfei Chen and Fahmy, {Suhaib Ahmed}",

note = "KAUST Repository Item: Exported on 2021-03-29 Acknowledgements: This research is supported by the National Natural Science Foundation of China under Grant (61873119 and 92067109), the National Key R&D Program of China under Grant No. 2019YFC0810705 and the Science and Technology Innovation Commission of Shenzhen under Grant No. KQJSCX20180322151418232.",

year = "2021",

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doi = "10.1109/LWC.2021.3069078",

language = "English (US)",

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journal = "IEEE Wireless Communications Letters",

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T1 - Optimum Battery Weight for Maximizing Available Energy in UAV-Enabled Wireless Communications

AU - Yan, Hua

AU - Yang, Shuang-Hua

AU - Chen, Yunfei

AU - Fahmy, Suhaib Ahmed

N1 - KAUST Repository Item: Exported on 2021-03-29 Acknowledgements: This research is supported by the National Natural Science Foundation of China under Grant (61873119 and 92067109), the National Key R&D Program of China under Grant No. 2019YFC0810705 and the Science and Technology Innovation Commission of Shenzhen under Grant No. KQJSCX20180322151418232.

PY - 2021/3/26

Y1 - 2021/3/26

N2 - Battery-powered unmanned aerial vehicles (UAVs) have been widely used as enablers of wireless networks. In this letter, the optimal battery weight for UAV-enabled wireless sensor networks is studied. The energy available for communication by considering propulsion energy consumption is maximized. Both numerical and approximate solutions to the optimal battery weight are derived. Numerical results show that both vertical and horizontal flight speeds and the gross weight of the UAV have great impact on the optimal battery weight.

AB - Battery-powered unmanned aerial vehicles (UAVs) have been widely used as enablers of wireless networks. In this letter, the optimal battery weight for UAV-enabled wireless sensor networks is studied. The energy available for communication by considering propulsion energy consumption is maximized. Both numerical and approximate solutions to the optimal battery weight are derived. Numerical results show that both vertical and horizontal flight speeds and the gross weight of the UAV have great impact on the optimal battery weight.

UR - http://hdl.handle.net/10754/668294

UR - https://ieeexplore.ieee.org/document/9387395/

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DO - 10.1109/LWC.2021.3069078

M3 - Article

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JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

SN - 2162-2345

ER -

Optimum Battery Weight for Maximizing Available Energy in UAV-Enabled Wireless Communications

Abstract

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