A Low-Complexity Iterative Detection algorithm for Uplink Massive MIMO Systems

Imran A. Khoso; Chung G. Kang

doi:10.1109/ICTC58733.2023.10392506

A Low-Complexity Iterative Detection algorithm for Uplink Massive MIMO Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Linear minimum mean square error (MMSE) detector achieves nearly optimal performance for massive multiple-input multiple-output (MIMO) systems, but its complexity is significantly high because of the matrix inversion operations involved. Therefore, numerous iterative detectors along with their improved variants such as Gauss-Seidel (GS) have been introduced to tackle computational burden. In this paper, we propose an extrapolated GS (EGS)-based detector to enhance the detection performance. The proposed EGS iteratively refines the initial solution to realize near-MMSE performance without matrix inversion. It improves the convergence rate of the conventional GS detector by incorporating the extrapolation technique. It is demonstrated that the proposed algorithm outperforms the conventional GS and approaches the performance of MMSE algorithm with only a small number of iterations.

Original language	English
Title of host publication	ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence
Subtitle of host publication	Exploring the Frontiers of ICT Innovation
Publisher	IEEE Computer Society
Pages	707-709
Number of pages	3
ISBN (Electronic)	9798350313277
DOIs	https://doi.org/10.1109/ICTC58733.2023.10392506
Publication status	Published - 2023
Event	14th International Conference on Information and Communication Technology Convergence, ICTC 2023 - Jeju Island, Korea, Republic of Duration: 2023 Oct 11 → 2023 Oct 13

Publication series

Name	International Conference on ICT Convergence
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	14th International Conference on Information and Communication Technology Convergence, ICTC 2023
Country/Territory	Korea, Republic of
City	Jeju Island
Period	23/10/11 → 23/10/13

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

extrapolation Gauss-Seidel (EGS) method
iterative detector
Massive multiple-input multiple-output (MIMO)
minimum mean square error (MMSE)

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

Access to Document

10.1109/ICTC58733.2023.10392506

Cite this

Khoso, I. A., & Kang, C. G. (2023). A Low-Complexity Iterative Detection algorithm for Uplink Massive MIMO Systems. In ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence: Exploring the Frontiers of ICT Innovation (pp. 707-709). (International Conference on ICT Convergence). IEEE Computer Society. https://doi.org/10.1109/ICTC58733.2023.10392506

A Low-Complexity Iterative Detection algorithm for Uplink Massive MIMO Systems. / Khoso, Imran A.; Kang, Chung G.
ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence: Exploring the Frontiers of ICT Innovation. IEEE Computer Society, 2023. p. 707-709 (International Conference on ICT Convergence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Khoso, IA & Kang, CG 2023, A Low-Complexity Iterative Detection algorithm for Uplink Massive MIMO Systems. in ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence: Exploring the Frontiers of ICT Innovation. International Conference on ICT Convergence, IEEE Computer Society, pp. 707-709, 14th International Conference on Information and Communication Technology Convergence, ICTC 2023, Jeju Island, Korea, Republic of, 23/10/11. https://doi.org/10.1109/ICTC58733.2023.10392506

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A Low-Complexity Iterative Detection algorithm for Uplink Massive MIMO Systems

Abstract

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Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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