Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems

Yao Ge; Lei Liu; Shunqi Huang; G. David Gonzalez; Yong Liang Guan; Zhi Ding

doi:10.1109/ICCWorkshops57953.2023.10283752

Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems

Yao Ge, Lei Liu, Shunqi Huang, G. David Gonzalez, Yong Liang Guan, Zhi Ding

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

19 Citations (Scopus)

Abstract

Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems. This paper considers a non-orthogonal sparse code multiple access (SCMA) configuration for multiple-input multiple-output (MIMO) systems with recently proposed orthogonal time frequency space (OTFS) modulation. We develop a novel low-complexity yet effective customized Memory approx-imate message passing (AMP) algorithm for channel equalization and multi-user detection. Specifically, the proposed Memory AMP detector enjoys the sparsity of the channel matrix and only applies matrix-vector multiplications in each iteration for low-complexity. To alleviate the performance degradation caused by positive reinforcement problem in the iterative process, all the preceding messages are utilized to guarantee the orthogonality principle in Memory AMP detector. Simulation results are finally provided to illustrate the superiority of our Memory AMP detector over the existing solutions.

Original language	English
Title of host publication	2023 IEEE International Conference on Communications Workshops
Subtitle of host publication	Sustainable Communications for Renaissance, ICC Workshops 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	807-812
Number of pages	6
ISBN (Electronic)	9798350333077
DOIs	https://doi.org/10.1109/ICCWorkshops57953.2023.10283752
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023 - Rome, Italy Duration: May 28 2023 → Jun 1 2023

Publication series

Name	2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023

Conference

Conference	2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023
Country/Territory	Italy
City	Rome
Period	5/28/23 → 6/1/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

ASJC Scopus Subject Areas

Artificial Intelligence
Computer Networks and Communications
Safety, Risk, Reliability and Quality
Instrumentation

Keywords

AMP
high-mobility communications
MIMO
OTFS
SCMA

Access to Document

10.1109/ICCWorkshops57953.2023.10283752

Cite this

Ge, Y., Liu, L., Huang, S., David Gonzalez, G., Guan, Y. L., & Ding, Z. (2023). Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems. In 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023 (pp. 807-812). (2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCWorkshops57953.2023.10283752

Ge, Yao ; Liu, Lei ; Huang, Shunqi et al. / Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems. 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 807-812 (2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023).

@inproceedings{c684602120aa4ce7af95480852cd35da,

title = "Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems",

abstract = "Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems. This paper considers a non-orthogonal sparse code multiple access (SCMA) configuration for multiple-input multiple-output (MIMO) systems with recently proposed orthogonal time frequency space (OTFS) modulation. We develop a novel low-complexity yet effective customized Memory approx-imate message passing (AMP) algorithm for channel equalization and multi-user detection. Specifically, the proposed Memory AMP detector enjoys the sparsity of the channel matrix and only applies matrix-vector multiplications in each iteration for low-complexity. To alleviate the performance degradation caused by positive reinforcement problem in the iterative process, all the preceding messages are utilized to guarantee the orthogonality principle in Memory AMP detector. Simulation results are finally provided to illustrate the superiority of our Memory AMP detector over the existing solutions.",

keywords = "AMP, high-mobility communications, MIMO, OTFS, SCMA",

author = "Yao Ge and Lei Liu and Shunqi Huang and {David Gonzalez}, G. and Guan, {Yong Liang} and Zhi Ding",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023 ; Conference date: 28-05-2023 Through 01-06-2023",

year = "2023",

doi = "10.1109/ICCWorkshops57953.2023.10283752",

language = "English",

series = "2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023",

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Ge, Y, Liu, L, Huang, S, David Gonzalez, G, Guan, YL & Ding, Z 2023, Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems. in 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023. 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023, Institute of Electrical and Electronics Engineers Inc., pp. 807-812, 2023 IEEE International Conference on Communications Workshops, ICC Workshops 2023, Rome, Italy, 5/28/23. https://doi.org/10.1109/ICCWorkshops57953.2023.10283752

Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems. / Ge, Yao; Liu, Lei; Huang, Shunqi et al.
2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 807-812 (2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023).

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

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AU - Ge, Yao

AU - Liu, Lei

AU - Huang, Shunqi

AU - David Gonzalez, G.

AU - Guan, Yong Liang

AU - Ding, Zhi

PY - 2023

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N2 - Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems. This paper considers a non-orthogonal sparse code multiple access (SCMA) configuration for multiple-input multiple-output (MIMO) systems with recently proposed orthogonal time frequency space (OTFS) modulation. We develop a novel low-complexity yet effective customized Memory approx-imate message passing (AMP) algorithm for channel equalization and multi-user detection. Specifically, the proposed Memory AMP detector enjoys the sparsity of the channel matrix and only applies matrix-vector multiplications in each iteration for low-complexity. To alleviate the performance degradation caused by positive reinforcement problem in the iterative process, all the preceding messages are utilized to guarantee the orthogonality principle in Memory AMP detector. Simulation results are finally provided to illustrate the superiority of our Memory AMP detector over the existing solutions.

AB - Efficient signal detectors are rather important yet challenging to achieve satisfactory performance for large-scale communication systems. This paper considers a non-orthogonal sparse code multiple access (SCMA) configuration for multiple-input multiple-output (MIMO) systems with recently proposed orthogonal time frequency space (OTFS) modulation. We develop a novel low-complexity yet effective customized Memory approx-imate message passing (AMP) algorithm for channel equalization and multi-user detection. Specifically, the proposed Memory AMP detector enjoys the sparsity of the channel matrix and only applies matrix-vector multiplications in each iteration for low-complexity. To alleviate the performance degradation caused by positive reinforcement problem in the iterative process, all the preceding messages are utilized to guarantee the orthogonality principle in Memory AMP detector. Simulation results are finally provided to illustrate the superiority of our Memory AMP detector over the existing solutions.

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Ge Y, Liu L, Huang S, David Gonzalez G, Guan YL, Ding Z. Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems. In 2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 807-812. (2023 IEEE International Conference on Communications Workshops: Sustainable Communications for Renaissance, ICC Workshops 2023). doi: 10.1109/ICCWorkshops57953.2023.10283752

Low-Complexity Memory AMP Detector for High-Mobility MIMO-OTFS SCMA Systems

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this