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

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

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


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 languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Wireless Communications Letters
StatePublished - Mar 26 2021

Bibliographical 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.

ASJC Scopus subject areas

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


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