Joint 3D Trajectory and Power Optimization for UAV-Aided mmWave MIMO-NOMA Networks
Joint 3D Trajectory and Power Optimization for UAV-Aided mmWave MIMO-NOMA Networks
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DOI：
10.1109/tcomm.2020.3044599
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发表时间：
2021-04-01
影响因子：
8.3
通讯作者：
Wong, Kai-Kit
中科院分区：
文献类型：
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作者：
Feng, Wanmei;Zhao, Nan;Wong, Kai-Kit
本文研究了一种无人机辅助毫米波（mmWave）多输入多输出（MIMO）非正交多址（NOMA）系统，其中无人机作为飞行基站（BS）为不同集群中的一组物联网（IoT）设备提供无线接入服务。我们的目标是通过联合优化无人机的三维（3D）布局、波束方向和发射功率来最大化下行和速率。为了解决这一问题，我们首先将非凸问题转化为总路径损失最小化问题，从而可以通过标准凸优化技术实现无人机的最优3D布局。在此基础上，提出了基于分解的多目标进化算法（MOEA/D）的天线阵形波束方向图合成算法。最后，将原问题转化为无人机固定三维位置和波束方向下的最优功率分配问题，推导出基于KKT条件的发射功率封闭表达式。此外，受分数编程（FP）的启发，我们提出了一种基于分数编程的次优算法来实现接近最优的性能。数值结果表明，与正交频分多址（OFDMA）方案相比，该算法在所有物联网设备的和速率方面取得了显著的性能提升。
This paper considers an unmanned aerial vehicle (UAV)-aided millimeter Wave (mmWave) multiple-input-multiple-output (MIMO) non-orthogonal multiple access (NOMA) system, where a UAV serves as a flying base station (BS) to provide wireless access services to a set of Internet of Things (IoT) devices in different clusters. We aim to maximize the downlink sum rate by jointly optimizing the three-dimensional (3D) placement of the UAV, beam pattern and transmit power. To address this problem, we first transform the non-convex problem into a total path loss minimization problem, and hence the optimal 3D placement of the UAV can be achieved via standard convex optimization techniques. Then, the multiobjective evolutionary algorithm based on decomposition (MOEA/D) based algorithm is presented for the shaped-beam pattern synthesis of an antenna array. Finally, by transforming the original problem into an optimal power allocation problem under the fixed 3D placement of the UAV and beam pattern, we derive the closed-form expression of transmit power based on Karush-Kuhn-Tucker (KKT) conditions. In addition, inspired by fraction programming (FP), we propose a FP-based suboptimal algorithm to achieve a near-optimal performance. Numerical results demonstrate that the proposed algorithm achieves a significant performance gain in terms of sum rate for all IoT devices, as compared with orthogonal frequency division multiple access (OFDMA) scheme.