Non-orthogonal multiple access (NOMA) as an enabling technology can be integrated with millimeter-Wave (mmWave) communication to achieve massive connectivity and better spectral efficiency in future wireless cellular networks. In this work, to reduce the system overhead, random beamforming is employed in the mmWave-NOMA networks where we optimized the power allocation factors to improve the random beamforming performance. Also, the impact of the non-line-of-sight (NLOS) path alongside the line-of-sight (LOS) path is analyzed under the outage probability term. Based on the distance between the base station (BS) and machine type communication (MTC) device, novel clustering schemes involving the near, mid-cell and far device are proposed. The proposed clustering schemes are named as (1) RRR consisting of one random device from each section, (2) NNN involving the nearest device from each region, and (3) NFF containing the nearest device to the BS from the near section, and the farthest device to the BS from both middle and far parts. The clustering schemes can be considered as a trade-off between the system overhead and outage performance. Finally, computer simulation results are presented to show the accuracy of the developed analytical and approximation results.

非正交多址 (NOMA) 作为一种使能技术可以与毫米波 (mmWave) 通信集成，以在未来的无线蜂窝网络中实现大规模连接和更好的频谱效率。在这项工作中，为了减少系统开销，在毫米波-NOMA 网络中采用了随机波束成形，我们优化了功率分配因子以提高随机波束成形性能。此外，在中断概率项下分析了非视距 (NLOS) 路径与视距 (LOS) 路径的影响。基于基站（BS）和机器类型通信（MTC）设备之间的距离，提出了涉及近、中、远设备的新型聚类方案。所提出的聚类方案被命名为 (1) RRR 由每个部分的一个随机设备组成，(2) NNN 涉及每个区域最近的设备，以及 (3) NFF 包含从近段到 BS 的最近设备，以及从中间和远区到 BS 最远的设备。集群方案可以被认为是系统开销和中断性能之间的权衡。最后，计算机模拟结果显示了所开发的分析和近似结果的准确性。