A massive multiple input multiple-output system is very important to optimize the trade-off energy efficiency and spectral efficiency in fifth-generation cellular networks. The challenges for the next generation depend on increasing the high data traffic in the wireless communication system for both EE and SE. In this paper, the trade off energy efficiency and spectral efficiency based on the first derivative of transmit antennas and transmit power in a downlink massive MIMO system has been investigated. The trade off EE-SE by using a multiobjective optimization problem to decrease transmit power has been analyzed. The EE and SE based on constraint maximum transmit power allocation and a number of antennas by computing the first derivative of transmit power to maximize the trade-off energy efficiency and spectral efficiency has been improved. From the simulation results, the optimum trade-off between EE and SE can be obtained based on the first derivative by selecting the optimal antennas with a low cost of transmit power. Therefore, based on an optimal optimization problem is flexible to make trade-offs between EE-SE for distinct preferences
翻译：大规模多重投入多重产出系统对于优化第五代蜂窝网络的节能和光谱效率至关重要,下一代面临的挑战取决于增加EEE和SE无线通信系统的高数据流量。在本文中,根据传输天线的第一批衍生物和在大型MIMO系统下行链中传输电源,对节能和光谱效率的权衡进行了调查。已经分析了利用多目标优化问题来降低传输功率,从而实现了EE-SE的交换。基于限制最大传输功率分配的EE和SE和一些天线,计算了传输功率的第一批衍生物,以最大限度地实现节能和光谱效率的权衡。通过模拟结果,EE与SE之间的最佳交换可以基于第一种衍生物,选择最优且传输功率低的天线。因此,基于最佳优化问题,可以灵活地在E-SE为不同的偏好而作出权衡。因此,根据最佳优化问题可以灵活地在E-SE-SE作出权衡。
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