动态网络下交替优化正交匹配追踪混合预编码

为解决毫米波大规模多输入多输出(multiple input multiple output, MIMO)系统中混合预编码频谱性能损失严重的问题，本文提出了一种动态网络下交替优化正交匹配追踪混合预编码算法。首先，通过恒模约束条件下的模拟预编码矩阵确定固定相位移相器与天线之间较好的初始连接状态，以提高迭代收敛速率；然后，根据连接状态构造最佳候选模拟预编码矩阵，从而求解全局最优的索引向量；最后，由最优索引向量组成的数字预编码矩阵反馈到动态网络，可动态实现移相器与天线阵列连接状态的交替优化更新。同时，所提出的算法只需要少量固定相位的移相器，在频谱性能和复杂度之间达到良好平衡。仿真结果表明，与其他现有算法相比，该算法具有更高频谱效率、更高迭代收敛速率和更低复杂度，特别是当射频链路数大于数据流数时，频谱效率的提升更加显著。

Alternating optimization orthogonal matching pursuit hybrid precoding in dynamic networks

To solve the problem of serious spectrum performance loss of hybrid precoding in millimeter wave multiple input multiple output (MIMO) systems, a hybrid precoding algorithm based on alternating optimization orthogonal matching pursuit is proposed in this paper. Firstly, an analog precoding matrix under constant mode constraint is used to determine the good initial connection state between the stationary phase displacement phaser and the antenna to improve the iterative convergence rate. Then, the optimal candidate simulation precoding matrix is constructed according to the connection state to solve the global optimal index vector. Finally, the digital precoding matrix composed of the optimal index vector is fed back to the dynamic network, which can dynamically optimize and update the connection state of the phase shifter and the antenna array alternately. At the same time, the proposed algorithm only needs a small number of fixed phase shifters to achieve a good balance between spectrum performance and complexity. Simulation results show that compared with other existing algorithms, the proposed algorithm has higher spectral efficiency, higher iterative convergence rate and lower complexity, especially when the number of RF links is greater than the number of data streams, the improvement of spectral efficiency is more significant.