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Article

Asynchronous Partial Gaussian Approximation Detection Algorithm for Uplink-Grouped MIMO-SCMA System

1
School of Electronics & Information, Soochow University, Suzhou 215000, China
2
Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324000, China
*
Author to whom correspondence should be addressed.
Electronics 2022, 11(21), 3536; https://doi.org/10.3390/electronics11213536
Submission received: 29 September 2022 / Revised: 24 October 2022 / Accepted: 27 October 2022 / Published: 30 October 2022

Abstract

To relieve the impact caused by different arrival times of multiple users in the uplink MIMO-SCMA system, a grouped multiuser transmission model, according to different delays and its corresponding detection scheme, is proposed in this paper. Assuming perfect synchronization in one group, a message-passing algorithm based on serial propagation (SP-MPA) is proposed to reduce the bit error rate (BER), which could transfer the updated information to the next symbol as its initial probability. Furthermore, with a more practical case, the partial Gaussian approximation method (PGA) is designed to decrease the interference resulting from the imperfect synchronization in one group. As the result, the computing complexity of the proposed PGA method could be decreased by at least 20% compared with SP-MPA and the BER could be improved by about 10%.
Keywords: sparse code multiple access (SCMA); asynchronous; grouped; multiple input multiple output (MIMO); partial Gaussian approximation (PGA) sparse code multiple access (SCMA); asynchronous; grouped; multiple input multiple output (MIMO); partial Gaussian approximation (PGA)

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MDPI and ACS Style

Wang, X.; Zhou, N.; Hou, J. Asynchronous Partial Gaussian Approximation Detection Algorithm for Uplink-Grouped MIMO-SCMA System. Electronics 2022, 11, 3536. https://doi.org/10.3390/electronics11213536

AMA Style

Wang X, Zhou N, Hou J. Asynchronous Partial Gaussian Approximation Detection Algorithm for Uplink-Grouped MIMO-SCMA System. Electronics. 2022; 11(21):3536. https://doi.org/10.3390/electronics11213536

Chicago/Turabian Style

Wang, Xue, Ninghao Zhou, and Jia Hou. 2022. "Asynchronous Partial Gaussian Approximation Detection Algorithm for Uplink-Grouped MIMO-SCMA System" Electronics 11, no. 21: 3536. https://doi.org/10.3390/electronics11213536

APA Style

Wang, X., Zhou, N., & Hou, J. (2022). Asynchronous Partial Gaussian Approximation Detection Algorithm for Uplink-Grouped MIMO-SCMA System. Electronics, 11(21), 3536. https://doi.org/10.3390/electronics11213536

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