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无人机高能效立体覆盖中轨迹与资源优化

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"泛在覆盖"将成为6G的主流网络形式,完成在高山、丘陵、沙漠等网络盲区的通信部署,实现全域无线覆盖,但在远区大规模部署地面基站较为困难.为此,该文将无人机(UAV)通信与非正交多址接入(NOMA)相结合,提出一种高能效立体覆盖方案最大化网络吞吐量能效.首先,建立系统模型,基于K-Means算法与Gale-Shapley算法提出用户配对方案.其次,在用户配对完成后,将初始问题拆分为两个优化子问题并分别转化为凸.最后,利用块坐标上升法交替优化无人机轨迹和发射功率最大化能量效率.仿真结果表明,相较于其它基准方案,该文方案可以显著提高大规模无线覆盖下空地网络的吞吐量能效.
Trajectory and Resource Optimization in Energy-Efficient 3D Coverage of Unmanned Aerial Vehicle
Ubiquitous coverage will become the main form of 6G networks,and complete the deployment in the mountains,hills,deserts and other blind area,to achieve full-area wireless coverage.However,the large-scale deployment of terrestrial base stations in remote areas is extremely difficult.For this reason,combining Unmanned Aerial Vehicle(UAV)communications with Non-Orthogonal Multiple Access(NOMA)technology,an energy-efficient three-dimensional coverage scheme to maximize the energy efficiency of network throughput is proposed in this paper.First,the system model is established and a user pairing algorithm is proposed based on the K-Means algorithm and the Gale-Shapley algorithm.Then,after user pairing is completed,the initial problem is split into two optimization subproblems,which are transformed to convex respectively.Finally,the block coordinate ascent method is used to alternately optimize the UAV trajectory and transmit power to maximize the energy efficiency.Simulation results show that compared with benchmarks,the proposed scheme can significantly improve the throughput energy efficiency of air-ground networks under large-scale wireless coverage.

Unmanned Aerial Vehicle(UAV)Non-Orthogonal Multiple Access(NOMA)Convex optimizationUser pairingResource allocation

赵楠、黄香港、邓娜、邹德岳

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大连理工大学信息与通信工程学院 大连 116024

无人机 非正交多址接入 凸优化 用户配对 资源分配

2024

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子:1.302
ISSN:1009-5896
年,卷(期):2024.46(9)