论文标题
通过PS-ADMM方法设计大量的MIMO探测器
Designing Massive MIMO Detector via PS-ADMM approach
论文作者
论文摘要
在本文中，我们通过额外分配方向方法（PS-ADMM）开发了一个有效的多输入多输出（MIMO）通信系统的有效检测器。它的主要内容如下：首先，我们将MIMO检测作为最大样本优化问题，并具有结合放松约束。然后，通过利用引入的二进制变量作为惩罚函数，将较高的调制信号分解为多个二进制变量的总和，检测优化模型等同于非共享共享最小化问题。其次，提出了定制的ADMM算法来解决公式的非convex优化问题。在实施中，所有变量均可通过分析和相相解决。第三，证明，如果选择了适当的参数，则提出的PS-ADMM算法会收敛。仿真结果证明了拟议方法的有效性。
In this paper, we develop an efficient detector for massive multiple-input multiple-output (MIMO) communication systems via penalty-sharing alternating direction method of multipliers (PS-ADMM). Its main content are as follows: first, we formulate the MIMO detection as a maximum-likelihood optimization problem with bound relaxation constraints. Then, the higher modulation signals are decomposed into a sum of multiple binary variables through their inherent structures, by exploiting introduced binary variables as penalty functions, the detection optimization model is equivalent to a nonconvex sharing minimization problem. Second, a customized ADMM algorithm is presented to solve the formulated nonconvex optimization problem. In the implementation, all variables can be solved analytically and parallelly. Third, it is proved that the proposed PS-ADMM algorithm converges if proper parameters are chosen. Simulation results demonstrate the effectiveness of the proposed approach.
