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作 者:Yan Li Shaoyi Xu Yunpu Wu Dongji Li
机构地区:[1]School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China [2]School of Electrical Engineering and Electronic Information,Xihua University,Chengdu 610039,China
出 处:《China Communications》2024年第2期210-226,共17页中国通信(英文版)
基 金:supported by the National Key Research and Development Program under Grant 2022YFB3303702;the Key Program of National Natural Science Foundation of China under Grant 61931001;supported by the National Natural Science Foundation of China under Grant No.62203368;the Natural Science Foundation of Sichuan Province under Grant No.2023NSFSC1440。
摘 要:This paper investigates the data collection in an unmanned aerial vehicle(UAV)-aided Internet of Things(IoT) network, where a UAV is dispatched to collect data from ground sensors in a practical and accurate probabilistic line-of-sight(LoS) channel. Especially, access points(APs) are introduced to collect data from some sensors in the unlicensed band to improve data collection efficiency. We formulate a mixed-integer non-convex optimization problem to minimize the UAV flight time by jointly designing the UAV 3D trajectory and sensors’ scheduling, while ensuring the required amount of data can be collected under the limited UAV energy. To solve this nonconvex problem, we recast the objective problem into a tractable form. Then, the problem is further divided into several sub-problems to solve iteratively, and the successive convex approximation(SCA) scheme is applied to solve each non-convex subproblem. Finally,the bisection search is adopted to speed up the searching for the minimum UAV flight time. Simulation results verify that the UAV flight time can be shortened by the proposed method effectively.
关 键 词:data collection flight time probabilistic line-of-sight channel unlicensed band unmanned aerial vehicle
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