This paper investigates joint antenna selection and optimal transmit power in multi cell massive multiple input multiple output systems. The pilot interference and activated transmit antenna selection plays an essential role in maximizing energy efficiency. We derived the closed-form of maximal energy efficiency with complete knowledge of large-scale fading with maximum ratio transmission while accounting for channel estimation and eliminated pilot contamination when the antennas approach infinity. We investigated joint optimal antenna selection and optimal transmit power under minimized reuse of pilot sequences based on a novel iterative low-complexity algorithm for Lagrange multiplayer and Newton methods. The two scenarios of achievable high data rate and total transmit power allocation are critical to the performance maximal energy efficiency. We propose new power consumption for each antenna based on the transmit power amplifier and circuit power consumption to analyze exact power consumption. The simulation results show that maximal energy efficiency could be achieved using the iterative low complexity algorithm based on the reasonable maximum transmit power when the noise power was less than the power received pilot. The proposed low complexity iterative algorithm offers maximum energy efficiency by repeating a minimized pilot signal until the optimal antenna selection and transmission power are achieved.

中文翻译：

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在第五代大规模 MIMO 系统中实现高能效和低复杂度的最佳发射功率和天线选择

本文研究了多小区大规模多输入多输出系统中的联合天线选择和最佳发射功率。导频干扰和激活的发射天线选择在最大化能源效率方面起着至关重要的作用。我们通过对最大比率传输的大规模衰落的完整知识推导出了最大能量效率的封闭形式，同时考虑了信道估计并消除了天线接近无穷大时的导频污染。我们基于用于拉格朗日多重播放器和牛顿方法的新型迭代低复杂度算法，研究了在最小化导频序列重用情况下的联合最优天线选择和最优发射功率。可实现的高数据速率和总发射功率分配这两个场景对于性能最大化能效至关重要。我们根据发射功率放大器和电路功耗为每个天线提出新的功耗，以分析准确的功耗。仿真结果表明，当噪声功率小于接收导频功率时，基于合理最大发射功率的迭代低复杂度算法可以实现最大能量效率。所提出的低复杂度迭代算法通过重复最小化的导频信号直到实现最佳天线选择和传输功率来提供最大能量效率。仿真结果表明，当噪声功率小于接收导频功率时，基于合理最大发射功率的迭代低复杂度算法可以实现最大能量效率。所提出的低复杂度迭代算法通过重复最小化的导频信号直到实现最佳天线选择和传输功率来提供最大能量效率。仿真结果表明，当噪声功率小于接收导频功率时，基于合理最大发射功率的迭代低复杂度算法可以实现最大能量效率。所提出的低复杂度迭代算法通过重复最小化的导频信号直到实现最佳天线选择和传输功率来提供最大能量效率。