论文标题
基于SVD的低复合光束选择算法，用于mmwave massive mimo系统
Low-complexity Beam Selection algorithms based on SVD for MmWave Massive MIMO Systems
论文作者
论文摘要
为了实现MMWave巨大的MIMO系统，带有光束选择的Beamspace Mimo在射频数量（RF）链的数量大大减少的情况下提供了一个有吸引力的解决方案。我们提出了基于单数值分解（SVD）的低复杂性光束选择算法。我们首先通过SVD对对角线进行对角线，并根据总和最大化的标准以减少或增量顺序选择适当的梁。为了大大降低所提出的算法的复杂性，我们在最后一次迭代中使用SVD再次从头开始使用AVIOD SVD。同时，我们提出的算法自然会获得预编码矩阵，从而消除多源干扰。仿真结果表明，我们提出的算法可以胜过竞争算法，包括完全数字零代码。
To realize mmWave massive MIMO systems in practice, Beamspace MIMO with beam selection provides an attractive solution at a considerably reduced number of radio frequency (RF) chains. We propose low-complexity beam selection algorithms based on singular value decomposition (SVD). We first diagonalize the channel matrix by SVD, and the appropriate beams are selected one-by-one in a decremental or incremental order based on the criterion of sum-rate maximization. To reduce the complexity of the proposed algorithms significantly, we make use of SVD in the last iteration to aviod SVD from scratch again. Meanwhile, our proposed algorithms naturally obtain the precoding matrix, which can eliminate the multiusers interference. Simulation results demonstrate that our proposed algorithms can outperform the competing algorithms, including the fully digital zero-precoding.
