论文标题
关于通过$ \ ell_2 $ -box Admm方法的大规模MIMO-QAM检测器的设计
On the design of Massive MIMO-QAM detector via $\ell_2$-Box ADMM approach
论文作者
论文摘要
在这封信中，我们开发了$ \ ell_2 $ -box的最大似然（ML）公式，用于大规模多输入多输入（MIMO）正交振幅调制（QAM）信号检测并自定义乘数（AMPM）算法的交替方向方法来求解非ConconVex优化模型。在$ \ ell_2 $ -box ADMM实现中，所有变量均可通过分析解决。此外，提出了与收敛，迭代复杂性和计算复杂性有关的几种理论结果。仿真结果证明了与最新方法相比，提出的$ \ ell_2 $ -box ADMM检测器的有效性。
In this letter, we develop an $\ell_2$-box maximum likelihood (ML) formulation for massive multiple-input multiple-output (MIMO) quadrature amplitude modulation (QAM) signal detection and customize an alternating direction method of multipliers (ADMM) algorithm to solve the nonconvex optimization model. In the $\ell_2$-box ADMM implementation, all variables are solved analytically. Moreover, several theoretical results related to convergence, iteration complexity, and computational complexity are presented. Simulation results demonstrate the effectiveness of the proposed $\ell_2$-box ADMM detector in comparison with state-of-the-arts approaches.
