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)
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), , [9386114].
(doi:10.1109/TCOMM.2021.3068733).
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
More information
Accepted/In Press date: 18 March 2021
e-pub ahead of print date: 24 March 2021
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
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Date deposited: 01 Apr 2021 15:40
Last modified: 29 Jul 2022 01:45
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