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

Jiangtao Wang; Quan Zhang; Yongchao Wang

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

Information Theory 2022-08-30 v1 Signal Processing math.IT

Authors: Jiangtao Wang , Quan Zhang , Yongchao Wang

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.

Keywords

massive mimo qam maximum likelihood detection admm nonconvex optimization

Cite

@article{arxiv.2208.13122,
  title  = {On the design of Massive MIMO-QAM detector via $\ell_2$-Box ADMM approach},
  author = {Jiangtao Wang and Quan Zhang and Yongchao Wang},
  journal= {arXiv preprint arXiv:2208.13122},
  year   = {2022}
}

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16 pages, 3 figures. Including Supplementary Material

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

Abstract

Keywords

Cite

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