Approximate Message Passing MIMO Detector With Frequency Domain Initialization for SC-FDMA

In this article, multiple-input multiple-output (MIMO) single-carrier frequency division multiple access (SC- FDMA) detection algorithms, including low-complexity approxi- mate message passing (LC-AMP) and frequency domain initialization (FDI) benefitted LC-AMP (FDI-LC-AMP), are proposed. The detail...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 73; no. 4; pp. 4801 - 4813
Main Authors: Ge, Yingmeng, Tan, Xiaosi, Ji, Zhenhao, Zeng, Yuwei, Zhang, Zaichen, You, Xiaohu, Zhang, Chuan
Format: Journal Article
Language:English
Published: New York IEEE 01.04.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
approximate message passing
Bayes methods
Bayesian inference
Carrier frequencies
Complexity
Complexity theory
Damping
Discrete Fourier transforms
Frequency division multiple access
Frequency domain analysis
Message passing
MIMO
SC-FDMA
Time-domain analysis
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Summary:In this article, multiple-input multiple-output (MIMO) single-carrier frequency division multiple access (SC- FDMA) detection algorithms, including low-complexity approxi- mate message passing (LC-AMP) and frequency domain initialization (FDI) benefitted LC-AMP (FDI-LC-AMP), are proposed. The detailed derivation of LC-AMP algorithm starting from approximate message passing (AMP) is provided. Adaptive nearest-neighbor approximation (ANNA) and modified message damping strategy are illustrated. Additionally, FDI is adopted to improve the convergence performance of LC-AMP. The simulation results show that the proposed LC-AMP/FDI-LC-AMP with ANNA exhibit superior performance compared to other state-of-the-art (SOA) MIMO SC-FDMA detectors with and without channel encoding. The trade-off between complexity and performance is also discussed. Benefitting from FDI and ANNA, FDI-LC-AMP with ANNA can obtain 22.9%−44.0% reduction in complexity compared to the SOAs while performing better.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2023.3310815