Energy-efficient design for mmW ave-enabled NOMA-UAV networks
Energy-efficient design for mmW ave-enabled NOMA-UAV networks作者机构：School of Information and Communication Engineering Dalian University of Technology School of Electronic and Information Engineering South China University of Technology Department of Electrical and Computer Engineering University of Nebraska-Lincoln
出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))
年 卷 期：2021年第64卷第4期
页 面：40-53页
核心收录：
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 082503[工学-航空宇航制造工程] 081001[工学-通信与信息系统] 0825[工学-航空宇航科学与技术]
基 金：supported by National Natural Science Foundation of China (Grant Nos. 61871065 61971194)
主 题：energy efficiency hybrid precoding millimeter-wave non-orthogonal multiple access placement optimization power allocation unmanned aerial vehicle
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 ***, 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.
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