Throughput Maximization for Multi-UAV Enabled Millimeter Wave WPCN: Joint Time and Power Allocation

查看全文 作　　者：Jiansong [1,2]Miao;Pengjie [1,2]Wang;Qian [1,2]Zhang;Yue [1,2]Wang

机构地区：[1]School of Information and Communication Engineering,Beijing University of Posts and Telecommunications,Beijing 100876,China;[2]Beijing Laboratory of Advanced Information Network,Beijing University of Posts and Telecommunications,Beijing 100876,China

出　　处：《China Communications》索引2020年第17卷第10期,共15页

基　　金：the Beijing Natural Science Foundation(No.L192034). 摘　　要：In this paper,we investigate the effective deployment of millimeter wave(mmWave)in unmanned aerial vehicle(UAV)-enabled wireless powered communication network(WPCN).In particular,a novel framework for optimizing the performance of such UAV-enabled WPCN in terms of system throughput is proposed.In the considered model,multiple UAVs monitor in the air along the scheduled flight trajectory and transmit monitoring data to micro base stations(mBSs)with the harvested energy via mmWave.In this case,we propose an algorithm for jointly optimizing transmit power and energy transfer time.To solve the non-convex optimization problem with tightly coupled variables,we decouple the problem into more tractable subproblems.By leveraging successive convex approximation(SCA)and block coordinate descent techniques,the optimal solution is obtained by designing a two-stage joint iteration optimization algorithm.Simulation results show that the proposed algorithm with joint transmit power and energy transfer time optimization achieves signiﬁcant performance gains over Q-learning method and other benchmark schemes. 关键词：millimeter-wave(mmWave) unmanned aerial vehicle(UAV) wireless powered communication network energy supply joint optimization

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Throughput Maximization for Multi-UAV Enabled Millimeter Wave WPCN: Joint Time and Power Allocation

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耦合文献(7)

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