Hybrid iterative detection and decoding of near-instantaneously adaptive turbo coded sparse code multiple access
Hybrid iterative detection and decoding of near-instantaneously adaptive turbo coded sparse code multiple access
Reduced-complexity hybrid detection and decoding (HDD) schemes are conceived for turbo-coded sparse code multiple access (SCMA) by analysing its convergence behavior using extrinsic information transfer (EXIT) charts, which outperforms the state of the art joint detector and decoder (JDD). As a benefit of its carefully controlled complexity, the resultant system is eminently suitable for ultra-reliable low-latency communication (URLLC) in multiuser scenarios, since it requires a low number of turbo iterations between the detector and the decoder. In particular, a pair of HDD schemes are proposed. HDD-I and HDD-II achieve a complexity reduction of up to 25% and 36%, respectively, at a similar bit error rate (BER) performance as that of JDD. Additionally, we propose an adaptive turbo-coded SCMA system for mitigating the influence of multipath propagation so that the system's bits per symbol (BPS) throughput may be improved under favorable channel conditions by using the most appropriate near-instantaneous user load, modulation order and coding rate. Our adaptive system design principle can also be readily used for other channel coding schemes.
Adaptive systems, Complexity theory, Decoding, Detectors, Encoding, Iterative decoding, SCMA, Turbo codes, adaptive QAM, turbo codes
4682-4692
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Xiang, Luping
56d951c0-455e-4a67-b167-f6c8233343b1
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
May 2021
Liu, Yusha
711a72e8-e8be-4be4-a79d-ea1413e7012a
Xiang, Luping
56d951c0-455e-4a67-b167-f6c8233343b1
Maunder, Robert
76099323-7d58-4732-a98f-22a662ccba6c
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Liu, Yusha, Xiang, Luping, Maunder, Robert, Yang, Lie-Liang and Hanzo, Lajos
(2021)
Hybrid iterative detection and decoding of near-instantaneously adaptive turbo coded sparse code multiple access.
IEEE Transactions on Vehicular Technology, 70 (5), , [9399239].
(doi:10.1109/TVT.2021.3071808).
Abstract
Reduced-complexity hybrid detection and decoding (HDD) schemes are conceived for turbo-coded sparse code multiple access (SCMA) by analysing its convergence behavior using extrinsic information transfer (EXIT) charts, which outperforms the state of the art joint detector and decoder (JDD). As a benefit of its carefully controlled complexity, the resultant system is eminently suitable for ultra-reliable low-latency communication (URLLC) in multiuser scenarios, since it requires a low number of turbo iterations between the detector and the decoder. In particular, a pair of HDD schemes are proposed. HDD-I and HDD-II achieve a complexity reduction of up to 25% and 36%, respectively, at a similar bit error rate (BER) performance as that of JDD. Additionally, we propose an adaptive turbo-coded SCMA system for mitigating the influence of multipath propagation so that the system's bits per symbol (BPS) throughput may be improved under favorable channel conditions by using the most appropriate near-instantaneous user load, modulation order and coding rate. Our adaptive system design principle can also be readily used for other channel coding schemes.
Text
fec-scma1
- Accepted Manuscript
More information
Accepted/In Press date: 6 April 2021
e-pub ahead of print date: 8 April 2021
Published date: May 2021
Additional Information:
Funding Information:
Manuscript received May 9, 2020; revised January 14, 2021, March 10, 2021, and April 1, 2021; accepted April 5, 2021. Date of publication April 8, 2021; date of current version June 9, 2021. This work was supported by Engineering and Physical Sciences Research Council project EP/P034284/1. The work of Lajos Hanzo was supported in part by Engineering and Physical Sciences Research Council projects EP/Noo4558/1, EP/P034284/1, and COALESCE, in part by Royal Society.s Global Challenges Research Fund Grant, and in part by the European Research Council.s Advanced Fellow Grant QuantCom under Grant 789028. The review of this article was coordinated by Dr. Hsiao-Feng Lu. (Corresponding author: Luping Xiang.) The authors are with Electronics and Computer Science, University of Southampton, SO17 1BJ Southampton, United Kingdom (e-mail: yl6g15@ecs.soton.ac.uk; lx1g15@soton.ac.uk; rm@ecs.soton.ac.uk; lly@ecs.soton.ac.uk; lh@ecs.soton.ac.uk). Digital Object Identifier 10.1109/TVT.2021.3071808
Publisher Copyright:
© 1967-2012 IEEE.
Keywords:
Adaptive systems, Complexity theory, Decoding, Detectors, Encoding, Iterative decoding, SCMA, Turbo codes, adaptive QAM, turbo codes
Identifiers
Local EPrints ID: 448233
URI: http://eprints.soton.ac.uk/id/eprint/448233
ISSN: 0018-9545
PURE UUID: 8bf9f577-e448-4b0b-8950-4c13124432c9
Catalogue record
Date deposited: 15 Apr 2021 16:34
Last modified: 20 Apr 2024 01:46
Export record
Altmetrics
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
