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作 者:Xiaowei PANG Jie TANG Nan ZHAO Xiuyin ZHANG Yi QIAN
机构地区:[1]School of Information and Communication Engineering,Dalian University of Technology,Dalian 116024,China [2]School of Electronic and Information Engineering,South China University of Technology,Guangzhou 510641,China [3]Department of Electrical and Computer Engineering,University of Nebraska-Lincoln,Lincoln 68588,USA
出 处:《Science China(Information Sciences)》2021年第4期36-49,共14页中国科学(信息科学)(英文版)
基 金:supported by National Natural Science Foundation of China(Grant Nos.61871065,61971194)。
摘 要:Owing to the recent advances of non-orthogonal multiple access(NOMA)and millimeter-wave(mmWave),these two technologies are combined in unmanned aerial vehicle(UAV)networks in this paper.However,energy efficiency has become a significant metric for UAVs owning to their limited energy.Thus,we aim to maximize the energy efficiency for mmWave-enabled NOMA-UAV networks by optimizing the UAV placement,hybrid precoding and power allocation.However,the optimization problem is complicated and intractable,which is decomposed into several sub-problems.First,we solve the UAV placement problem by approximating it into a convex one.Then,the hybrid precoding with user clustering is performed to better reap the multi-antenna gain.Particularly,three schemes are proposed,where the cluster head selection algorithm is adopted while considering different equivalent channels of users.Finally,the power allocation is optimized to maximize the energy efficiency,which is converted to convex and solved via an iterative algorithm.Simulation results are provided to evaluate the performance of the proposed schemes.
关 键 词:energy efficiency hybrid precoding MILLIMETER-WAVE non-orthogonal multiple access placement optimization power allocation unmanned aerial vehicle
分 类 号:TN929.5[电子电信—通信与信息系统] V279[电子电信—信息与通信工程]
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