Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method

Zhizhen Wu; Chuan Zhang; Ye Xue; Shugong Xu; Xiaohu You

doi:10.1109/ISCAS.2016.7538940

Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method

Zhizhen Wu, Chuan Zhang, Ye Xue, Shugong Xu, Xiaohu You

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

100 Citations (Scopus)

Abstract

In massive multiple-input multiple-output (MIMO) uplink, the minimum mean square error (MMSE) algorithm is near-optimal and linear, but still suffers from high-complexity of matrix inversion. Based on Gauss-Seidel (GS) method, an efficient architecture for massive MIMO soft-output detection is proposed in this paper. To further accelerate the convergence rate of the conventional GS method with acceptable overhead complexity, a truncated Neumann series of the first 2 terms, is employed for initialization. The architecture can meet various application requirements by flexibly adjusting the number of iterations. FPGA implementation for a 128 × 8 MIMO demonstrates its advantages in both hardware efficiency and flexibility.

Original language	English
Title of host publication	ISCAS 2016 - IEEE International Symposium on Circuits and Systems
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1886-1889
Number of pages	4
ISBN (Electronic)	9781479953400
DOIs	https://doi.org/10.1109/ISCAS.2016.7538940
Publication status	Published - 29 Jul 2016
Externally published	Yes
Event	2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016 - Montreal, Canada Duration: 22 May 2016 → 25 May 2016

Publication series

Name	Proceedings - IEEE International Symposium on Circuits and Systems
Volume	2016-July
ISSN (Print)	0271-4310

Conference

Conference	2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016
Country/Territory	Canada
City	Montreal
Period	22/05/16 → 25/05/16

Keywords

Gauss-Seidel method
Massive MIMO
Neumann series
soft-output MMSE
VLSI

Access to Document

10.1109/ISCAS.2016.7538940

Cite this

Wu, Z., Zhang, C., Xue, Y., Xu, S., & You, X. (2016). Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method. In ISCAS 2016 - IEEE International Symposium on Circuits and Systems (pp. 1886-1889). Article 7538940 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAS.2016.7538940

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Wu, Z, Zhang, C, Xue, Y, Xu, S & You, X 2016, Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method. in ISCAS 2016 - IEEE International Symposium on Circuits and Systems., 7538940, Proceedings - IEEE International Symposium on Circuits and Systems, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 1886-1889, 2016 IEEE International Symposium on Circuits and Systems, ISCAS 2016, Montreal, Canada, 22/05/16. https://doi.org/10.1109/ISCAS.2016.7538940

Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method. / Wu, Zhizhen; Zhang, Chuan; Xue, Ye et al.
ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1886-1889 7538940 (Proceedings - IEEE International Symposium on Circuits and Systems; Vol. 2016-July).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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AB - In massive multiple-input multiple-output (MIMO) uplink, the minimum mean square error (MMSE) algorithm is near-optimal and linear, but still suffers from high-complexity of matrix inversion. Based on Gauss-Seidel (GS) method, an efficient architecture for massive MIMO soft-output detection is proposed in this paper. To further accelerate the convergence rate of the conventional GS method with acceptable overhead complexity, a truncated Neumann series of the first 2 terms, is employed for initialization. The architecture can meet various application requirements by flexibly adjusting the number of iterations. FPGA implementation for a 128 × 8 MIMO demonstrates its advantages in both hardware efficiency and flexibility.

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Wu Z, Zhang C, Xue Y, Xu S, You X. Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method. In ISCAS 2016 - IEEE International Symposium on Circuits and Systems. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1886-1889. 7538940. (Proceedings - IEEE International Symposium on Circuits and Systems). doi: 10.1109/ISCAS.2016.7538940

Efficient architecture for soft-output massive MIMO detection with Gauss-Seidel method

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