Efficient Massive MIMO Detection for M-QAM Symbols.

Content Provider	Europe PMC
Author	Quan, Zhi Luo, Jiyu Zhang, Hailong Jiang, Li
Editor	Bai, Lin Zhou, Lin
Copyright Year	2023
Abstract	Massive multiple-input multiple-output (MIMO) systems significantly outperform small-scale MIMO systems in terms of data rate, making them an enabling technology for next-generation wireless systems. However, the increased number of antennas increases the computational difficulty of data detection, necessitating more efficient detection techniques. This paper presents a detector based on joint deregularized and box-constrained dichotomous coordinate descent (BOXDCD) with iterations for rectangular m-ary quadrature amplitude modulation (M-QAM) symbols. Deregularization maximized the energy of the solution. With the box-constraint, the deregularization forces the solution to be close to the rectangular boundary set. The numerical results demonstrate that the proposed detector achieves a considerable performance gain compared to existing detection algorithms. The performance advantage increases with the system size and signal-to-noise ratio.
Journal	Entropy (Basel, Switzerland)
Volume Number	25
PubMed Central reference number	PMC10047872
Issue Number	3
PubMed reference number	36981280
e-ISSN	10994300
DOI	10.3390/e25030391
Language	English
Publisher	MDPI
Publisher Date	2023-02-21
Access Restriction	Open
Rights License	Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). © 2023 by the authors.
Subject Keyword	box-constrained dichotomous coordinate descent massive MIMO negative diagonal loading regularization signal detection quadrature amplitude modulation
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy Information Systems Electrical and Electronic Engineering Mathematical Physics