Error performance (EP) and capacity improvement (CI) are two important aspects essentially addressed using NOMA in the future cellular networks. In a dense user environment, transmit antenna selection NOMA (TAS-NOMA) algorithm if often employed to save the power. Apart from this antenna selection scheme, it is significant to manage sum rate calculation (i.e., spatial diversity) and delay (latency). In this paper, we propose ensemble average sum rate (EASR) algorithm which is capable of controlling the sum rate while minimizing the latency. However, it is significant to note that the system suffers non-linearity when the number of antennas enhanced in the transmitting side. The proposed technique produced better results in terms of enhanced power allocation than the conventional selection algorithm.

中文翻译：

---

无线5G中功率域NOMA的速率改进新技术

错误性能（EP）和容量改进（CI）是在将来的蜂窝网络中使用NOMA基本上解决的两个重要方面。在密集的用户环境中，如果经常采用发射天线选择NOMA（TAS-NOMA）算法以节省功率。除了这种天线选择方案外，重要的是管理和速率计算（即空间分集）和延迟（延迟）。在本文中，我们提出了集合平均求和速率（EASR）算法，该算法能够控制求和速率，同时最大程度地减少延迟。但是，值得注意的是，当发射侧的天线数量增加时，系统会出现非线性。与传统的选择算法相比，所提出的技术在增强的功率分配方面产生了更好的结果。