The combination of nonorthogonal multiple access (NOMA) and multiple input and multiple output (MIMO) systems is considered a promising approach for 5G mobile communication networks. In addition, techniques such as user selection and beamforming could be applied to improve some parameters of system performance. In this context, we propose a joint user selection, adaptive power allocation, and beamforming algorithm for the downlink of massive MIMO NOMA systems in order to maximize the throughput of users. To this end, we present a novel optimal beamforming solution scheme based on the adaptive computation of signal power values to maximize system throughput, considering the less interfering users. To evaluate the performance of the proposed algorithm, simulations were performed considering different power allocation algorithms.

中文翻译：

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基于自适应功率分配的波束形成算法，用于多输入多输出非正交多址系统吞吐量优化

非正交多址（NOMA）和多输入多输出（MIMO）系统的组合被认为是5G移动通信网络的一种有前途的方法。另外，诸如用户选择和波束成形的技术可以被应用以改善系统性能的一些参数。在这种情况下，我们提出了针对大规模MIMO NOMA系统下行链路的联合用户选择，自适应功率分配和波束成形算法，以最大程度地提高用户的吞吐量。为此，我们考虑了干扰较小的用户，提出了一种基于信号功率值的自适应计算的新型最佳波束成形解决方案，以最大化系统吞吐量。为了评估所提出算法的性能，在考虑不同功率分配算法的情况下进行了仿真。