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

dc.contributor.authorYan, Hua
dc.contributor.authorYang, Shuang-Hua
dc.contributor.authorChen, Yunfei
dc.contributor.authorFahmy, Suhaib A.
dc.date.accessioned2021-03-28T06:59:09Z
dc.date.available2021-03-28T06:59:09Z
dc.date.issued2021-03-26
dc.identifier.citationYan, H., Yang, S.-H., Chen, Y., & Fahmy, S. A. (2021). Optimum Battery Weight for Maximizing Available Energy in UAV-Enabled Wireless Communications. IEEE Wireless Communications Letters, 1–1. doi:10.1109/lwc.2021.3069078
dc.identifier.issn2162-2345
dc.identifier.doi10.1109/LWC.2021.3069078
dc.identifier.urihttp://hdl.handle.net/10754/668294
dc.description.abstractBattery-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.
dc.description.sponsorshipThis 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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/9387395/
dc.relation.urlhttps://ieeexplore.ieee.org/document/9387395/
dc.relation.urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9387395
dc.rights(c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectBattery capacity
dc.subjectelectric propulsion system (EPS)
dc.subjectpower consumption
dc.subjectunmanned aerial vehicle (UAV).
dc.titleOptimum Battery Weight for Maximizing Available Energy in UAV-Enabled Wireless Communications
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Science and Engineering (CEMSE) Division
dc.identifier.journalIEEE Wireless Communications Letters
dc.eprint.versionPost-print
dc.contributor.institutionSchool of Engineering, University of Warwick, Coventry, U.K. CV4 7AL.
dc.contributor.institutionDepartment of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518000, China.
dc.identifier.pages1-1
kaust.personFahmy, Suhaib A.
refterms.dateFOA2021-03-31T07:18:11Z
dc.date.published-online2021-03-26
dc.date.published-print2021


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