Massive MIMO is an important framework of 5G and the Internet of Things (IoT). Signals radiated from a 5G antenna share the complex architecture. A system is therefore needed that can minimize complexity and provides good spectral efficiency and throughput. This is achieved by reducing RF chains which is an important constraint in an energy-efficient 5G system. In this paper, a new semi-orthogonal-based scheme is proposed to formulate SINR which maximizes throughput when RF chains are combined without increasing computational complexity, and also the focus is laid on the improvement of the sum data rate of the system. More importantly, the optimization algorithm has been implemented and used to model the massive MIMO as a tool for an energy-efficient system.

大规模 MIMO 是 5G 和物联网 (IoT) 的重要框架。从 5G 天线辐射的信号共享复杂的架构。因此需要一种可以最小化复杂性并提供良好频谱效率和吞吐量的系统。这是通过减少射频链来实现的，射频链是节能 5G 系统中的一个重要限制因素。在本文中，提出了一种新的基于半正交的方案来制定 SINR，该方案可以在不增加计算复杂度的情况下最大限度地提高 RF 链组合时的吞吐量，并且重点放在提高系统的总数据速率上。更重要的是，优化算法已被实施并用于对大规模 MIMO 进行建模，作为节能系统的工具。