The University of Southampton
University of Southampton Institutional Repository

Iterative receiver design for polar-coded SCMA systems

Iterative receiver design for polar-coded SCMA systems
Iterative receiver design for polar-coded SCMA systems
An edge-cancellation-aided iterative detection and decoding (EC-IDD) algorithm is proposed for polar-coded sparse code multiple access (SCMA), which jointly performs Gaussianapproximated message passing (GA-MP) detection of SCMA supported by the soft list decoding (SLD) of polar codes. A reduced-edge factor graph is formulated in each consecutive iteration with the aid of the cyclic redundancy check (CRC) and EC. Based on the simplified factor graph, the EC-IDD gradually reduces its complexity in each subsequent iteration, while improving the bit error rate (BER) performance, compared to the state-of-the-art joint detection and decoding (JDD) of polar-coded SCMA. Furthermore, an embedded decision-directed channel estimator (DD-CE) is proposed for our polar-coded SCMA system under realistic imperfect channel state information (CSI). Our simulation results demonstrate that the proposed EC-IDD achieves better BER performance than the state-ofthe- art JDD under both perfect and imperfect CSI, despite achieving a complexity reduction of 92%. Finally, the BER of the proposed joint DD-CE and EC-IDD algorithm under imperfect CSI converges to that of EC-IDD operating under perfect CSI
Bit error rate, Complexity theory, Decoding, Gaussian-approximated message passing (GA-MP) detection, Iterative decoding, NOMA, Polar codes, Receivers, Sparse code multiple access (SCMA), channel estimation (CE), iterative detection and decoding (IDD)
0090-6778
4235-4246
Xiang, Luping
56d951c0-455e-4a67-b167-f6c8233343b1
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Xiang, Luping
56d951c0-455e-4a67-b167-f6c8233343b1
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Xu, Chao
5710a067-6320-4f5a-8689-7881f6c46252
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Xiang, Luping, Liu, Yusha, Xu, Chao, Maunder, Robert, Yang, Lie-Liang and Hanzo, Lajos (2021) Iterative receiver design for polar-coded SCMA systems. IEEE Transactions on Communications, 69 (7), 4235-4246, [9386114]. (doi:10.1109/TCOMM.2021.3068733).

Record type: Article

Abstract

An edge-cancellation-aided iterative detection and decoding (EC-IDD) algorithm is proposed for polar-coded sparse code multiple access (SCMA), which jointly performs Gaussianapproximated message passing (GA-MP) detection of SCMA supported by the soft list decoding (SLD) of polar codes. A reduced-edge factor graph is formulated in each consecutive iteration with the aid of the cyclic redundancy check (CRC) and EC. Based on the simplified factor graph, the EC-IDD gradually reduces its complexity in each subsequent iteration, while improving the bit error rate (BER) performance, compared to the state-of-the-art joint detection and decoding (JDD) of polar-coded SCMA. Furthermore, an embedded decision-directed channel estimator (DD-CE) is proposed for our polar-coded SCMA system under realistic imperfect channel state information (CSI). Our simulation results demonstrate that the proposed EC-IDD achieves better BER performance than the state-ofthe- art JDD under both perfect and imperfect CSI, despite achieving a complexity reduction of 92%. Finally, the BER of the proposed joint DD-CE and EC-IDD algorithm under imperfect CSI converges to that of EC-IDD operating under perfect CSI

Text
polar-scma - Accepted Manuscript
Download (510kB)

More information

Accepted/In Press date: 18 March 2021
e-pub ahead of print date: 24 March 2021
Published date: July 2021
Additional Information: Funding Information: Manuscript received August 18, 2020; revised January 16, 2021 and March 14, 2021; accepted March 18, 2021. Date of publication March 24, 2021; date of current version July 15, 2021. The financial support of the Engineering and Physical Sciences Research Council project EP/P034284/1 is gratefully acknowledged. L. Hanzo would like to gratefully acknowledge the financial support of the Engineering and Physical Sciences Research Council projects EP/Noo4558/1, EP/PO34284/1, COALESCE, of the Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom (Grant No. 789028). The associate editor coordinating the review of this article and approving it for publication was J. Yuan. (Corresponding author: Yusha Liu.) The authors are with the School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, U.K. (e-mail: lx1g15@soton.ac.uk; yl6g15@ecs.soton.ac.uk; cx1g08@ecs.soton.ac.uk; rm@ecs.soton.ac.uk; lly@ecs.soton.ac.uk; lh@soton.ac.uk). Publisher Copyright: © 1972-2012 IEEE.
Keywords: Bit error rate, Complexity theory, Decoding, Gaussian-approximated message passing (GA-MP) detection, Iterative decoding, NOMA, Polar codes, Receivers, Sparse code multiple access (SCMA), channel estimation (CE), iterative detection and decoding (IDD)

Identifiers

Local EPrints ID: 448059
URI: http://eprints.soton.ac.uk/id/eprint/448059
ISSN: 0090-6778
PURE UUID: e7e287ef-691a-4e08-9ca5-da6b1dfe639e
ORCID for Luping Xiang: ORCID iD orcid.org/0000-0003-1465-6708
ORCID for Chao Xu: ORCID iD orcid.org/0000-0002-8423-0342
ORCID for Robert Maunder: ORCID iD orcid.org/0000-0002-7944-2615
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 01 Apr 2021 15:40
Last modified: 24 Apr 2024 01:44

Export record

Altmetrics

Contributors

Author: Luping Xiang ORCID iD
Author: Yusha Liu
Author: Chao Xu ORCID iD
Author: Robert Maunder ORCID iD
Author: Lie-Liang Yang ORCID iD
Author: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×