On the design of Massive MIMO-QAM detector via ℓ₂-Box ADMM approach

2022/08/28 by Wang, Jiangtao, Zhang, Quan, Wang, Yongchao
#FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Signal Processing (eess.SP) #electronic engineering #information engineering

paper · doi:10.48550/arxiv.2208.13122

Abstract

In this letter, we develop an ℓ₂-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 ℓ₂-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 ℓ₂-box ADMM detector in comparison with state-of-the-arts approaches.

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