Millimeter wave (mmW) communication coupled with massive MIMO architecture is attaining considerable attention to overcome the huge data rate requirements. Increasing the dimensions of a massive MIMO architecture provides spatial multiplexing gains, but at the cost of decrease in hardware efficiency. To optimize the energy efficiency of massive MIMO systems, in this paper, focusing on a sub-connected hybrid architecture, we propose a joint transmit antenna selection and precoding technique. Low Complexity heuristic algorithms are used to perform the antenna selection in order to limit the number of active antennas, hence, decreasing the power consumption which subsequently increases the energy efficiency. Precoding for the selected transmit antennas is performed using successive interference cancellation (SIC) based scheme. Simulation results show that the heuristic algorithms based transmit antenna selection scheme requires less computations and its performance is close to exhaustive search algorithm. Furthermore, SIC based precoding enables to overcome serious signal attenuation of mmW systems and performs best in terms of spectral efficiency for a partially connected hybrid structure. The joint solution is optimal in-terms of computational complexity and energy efficiency, which optimizes the performance of mmW massive MIMO systems.

毫米波（mmW）通信与大规模MIMO架构相结合正在引起人们的广泛关注，以克服巨大的数据速率要求。增加大规模MIMO架构的尺寸可提供空间复用增益，但以降低硬件效率为代价。为了优化大规模MIMO系统的能效，本文针对子连接混合架构，提出了一种联合发射天线选择和预编码技术。低复杂度启发式算法用于执行天线选择，以限制活动天线的数量，因此减少了功耗，从而提高了能效。使用基于连续干扰消除（SIC）的方案对选定的发射天线进行预编码。仿真结果表明，基于启发式算法的发射天线选择方案需要较少的计算量，其性能接近穷举搜索算法。此外，基于SIC的预编码能够克服mmW系统的严重信号衰减，并且在部分连接的混合结构的频谱效率方面表现最佳。联合解决方案是计算复杂度和能效方面的最佳选择，可优化mmW大规模MIMO系统的性能。基于SIC的预编码可以克服mmW系统的严重信号衰减，并且在部分连接的混合结构的频谱效率方面表现最佳。联合解决方案是计算复杂度和能效方面的最佳选择，可优化mmW大规模MIMO系统的性能。基于SIC的预编码能够克服mmW系统的严重信号衰减，并且在部分连接的混合结构的频谱效率方面表现最佳。联合解决方案是计算复杂度和能效方面的最佳选择，可优化mmW大规模MIMO系统的性能。