MMSE Detector for 128×32 Massive MIMO Systems Based on CG-WNSA

In this paper, a conjugate gradient (CG) detector with a weighted Neumann series approximation (WNSA) in massive multiple-input multiple-output (MIMO) systems is presented to minimize the computational complexity of the entire CG detector. In contrast with MMSE detector, the SNR deviation of the proposed CG-WNSA is within 0.5 dB for BER of 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−6</sup>. The CG-WNSA algorithm can reach lower computational complexity and better performance compared with the joint conjugate gradient and Jacobi (CG-JC) detector.

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Published
2025-04-28
DOI
https://doi.org/10.1109/icct-europe63283.2025.11157673
Primary Topic
Satellite Communication Systems
Type
article
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article

MMSE Detector for 128×32 Massive MIMO Systems Based on CG-WNSA

Y.-J. Huang, Chih-Feng Wu
Satellite Communication Systems
article

MMSE Detector for 128×32 Massive MIMO Systems Based on CG-WNSA

Y.-J. Huang, Chih-Feng Wu
article en

Abstract

In this paper, a conjugate gradient (CG) detector with a weighted Neumann series approximation (WNSA) in massive multiple-input multiple-output (MIMO) systems is presented to minimize the computational complexity of the entire CG detector. In contrast with MMSE detector, the SNR deviation of the proposed CG-WNSA is within 0.5 dB for BER of 10<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">−6</sup>. The CG-WNSA algorithm can reach lower computational complexity and better performance compared with the joint conjugate gradient and Jacobi (CG-JC) detector.

Chang Gung University of Science and Technology (TW), Chang Gung University (TW)
Openalex Percentile: Top 67%
Satellite Communication Systems
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MMSE Detector for 128×32 Massive MIMO Systems Based on CG-WNSA — Y.-J. Huang, Chih-Feng Wu · (2025) | TGRS Research Map | TGRS