{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T01:50:51Z","timestamp":1775613051875,"version":"3.50.1"},"reference-count":17,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2019,3,27]],"date-time":"2019-03-27T00:00:00Z","timestamp":1553644800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61703197,61561032 and 61461029"],"award-info":[{"award-number":["61703197,61561032 and 61461029"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper considers a wireless-powered communication network (WPCN) system that uses multiple unmanned aerial vehicles (UAVs). Ground users (GUs) first harvest energy from a mobile wireless energy transfer (WET) UAV then use the energy to power their information transmission to a data gatherer (DG) UAV. We aim to maximize the minimum throughput for all GUs by jointly optimizing UAV trajectories, and the resource allocation of ET UAV and GUs. Because of the non-convexity of the formulated problem, we propose an alternating optimization algorithm, applying successive convex optimization techniques to solve the problem; the UAV trajectories and resource allocation are alternately optimized in each iteration. Numerical results show the efficiency of the proposed algorithm in different scenarios.<\/jats:p>","DOI":"10.3390\/s19071491","type":"journal-article","created":{"date-parts":[[2019,3,29]],"date-time":"2019-03-29T03:38:52Z","timestamp":1553830732000},"page":"1491","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Minimum-Throughput Maximization for Multi-UAV-Enabled Wireless-Powered Communication Networks"],"prefix":"10.3390","volume":"19","author":[{"given":"Fahui","family":"Wu","sequence":"first","affiliation":[{"name":"Jiangxi Province Key Laboratory of Intelligent Information Systems, Nanchang University, Nanchang 330031, China"}]},{"given":"Dingcheng","family":"Yang","sequence":"additional","affiliation":[{"name":"Information Engineering School, Nanchang University, Nanchang 330031, China"}]},{"given":"Lin","family":"Xiao","sequence":"additional","affiliation":[{"name":"Information Engineering School, Nanchang University, Nanchang 330031, China"}]},{"given":"Laurie","family":"Cuthbert","sequence":"additional","affiliation":[{"name":"Information Systems Research Centre, Macao Polytechnic Institute, Macao 999078, China"}]}],"member":"1968","published-online":{"date-parts":[[2019,3,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1109\/MCOM.2016.7470933","article-title":"Wireless communications with unmanned aerial vehicles: Opportunities and challenges","volume":"54","author":"Zeng","year":"2016","journal-title":"IEEE Commun. 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Available online: http:\/\/cvxr.com\/cvx."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/7\/1491\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T12:40:56Z","timestamp":1760186456000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/19\/7\/1491"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,3,27]]},"references-count":17,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2019,4]]}},"alternative-id":["s19071491"],"URL":"https:\/\/doi.org\/10.3390\/s19071491","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,3,27]]}}}