基于波束选择的毫米波Massive MIMO预编码算法研究

毫米波和M assive M IM O作为下一代移动通信中的关键技术，成为国内外通信领域研究的热点。在楼群密集的城市环境下，基于毫米波的传播特性，构建了城市环境下的毫米波多用户M assive M IM O系统模型，并针对大规模M IM O系统中，消除用户间干扰所用预编码矩阵维度高、系统复杂的特点，依据波束空间信道矩阵的稀疏特性，提出了一种基于波束选择的低维度预编码算法，对无共用波束的用户进行功率分配，对有共用波束、产生干扰的用户进行预编码。仿真结果表明，本文提出的方法在降低系统复杂度的同时又能保证较好的系统性能。所提出的系统模型和低维预编码算法具有较强的理论价值和实践意义，可以为系统后续算法研究以及软硬件设计提供参考。

Research about a low dimensional beamspace precoder method in mm w Massive MU MIMO systems

With the continuous development of research work on next generation wireless communication ,millimeter wave (mm‐wave) and Massive MIMO technology has become the focus topics both at home and abroad .In this paper , we choose dense urban environments as our research background , according to the main line‐of‐sight (LOS ) propagation and the excellent reflection performance in millimeter wave multiuser Massive MIMO systems , we construct a simplified system model .Based on the sparsity of the beamspace channel matrix ,we choose several beams that capture the channel’s main energy to approximate the original high‐dimensional channel ,and propose a low‐dimensional beamspace precoder method .The simulation results demonstrate that the reduced‐complexity precoder can also achieve considerable system sum rates .The construction of the system model and the optimization of precoder methods have strong theory value and practical significance ,can provide a reference for hardware and software design and subsequent algorithm research .