On the design of Massive MIMO-QAM detector via $\ell_2$-Box ADMM approach

Jiangtao Wang; Quan Zhang; Yongchao Wang

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arXiv · 2208.13122

On the design of Massive MIMO-QAM detector via $\ell_2$-Box ADMM approach

Jiangtao Wang·Quan Zhang·Yongchao Wang

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Abstract

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.

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Jiangtao Wang, Quan Zhang, Yongchao Wang. 2022-08-28. On the design of Massive MIMO-QAM detector via $\ell_2$-Box ADMM approach. https://arxiv.org/abs/2208.13122

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