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作 者:Qiulei Huang Wei Wang Zhaohui Song Nan Zhao
机构地区:[1]School of Information and Communication Engineering,Dalian University of Technology,Dalian 116024,China [2]Space Information Research Institute,Hangzhou Dianzi University,Hangzhou 310018,China
出 处:《Chinese Journal of Electronics》2025年第1期176-185,共10页电子学报(英文版)
基 金:supported by the National Key R&D Program of China(Grant No.2020YFB1807002)。
摘 要:Aided by device-to-device(D2D)connections,unmanned aerial vehicle(UAV)can significantly enhance the coverage of wireless communications.In this paper,we consider a data collection system with the assistance of D2D,where two fixed-wing UAVs as aerial base stations cooperatively serve the ground devices.To accommodate more devices,we propose two effective algorithms to establish the multi-hop D2D connections.Then,the user scheduling,UAV trajectory,and transmit power are jointly optimized to maximize the energy efficiency,which is a non-convex problem.Accordingly,we decompose it into three subproblems.The scheduling optimization is first converted into a linear programming.Then,the trajectory design and the transmit power optimization are reformulated as two convex problems by the Dinkelbach method.Finally,an iterative algorithm is proposed to effectively solve the original problem.Simulation results are presented to verify the effectiveness of the proposed scheme.
关 键 词:Data collection Device-to-device Energy efficiency Trajectory optimization Unmanned aerial vehicle
分 类 号:TN929.5[电子电信—通信与信息系统]
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