Improved Layered Normalized Min-Sum Algorithm for 5G NR LDPC

Jayawickrama, BA; He, Y

Improved Layered Normalized Min-Sum Algorithm for 5G NR LDPC

Jayawickrama, BA He, Y

Permalink

Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Wireless Communications Letters, 2022, 11, (9), pp. 2015-2018
Issue Date:: 2022-09-01

Embargoed

	Filename	Description	Size
	Improved Layered Normalized Min-Sum Algorithm for 5G NR LDPC.pdf	Accepted version	315.22 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Embargoed
Open Access

This item is currently unavailable due to the publisher's embargo.

The embargo period expires on 20 Jul 2024

Full metadata record

Field	Value	Language
dc.contributor.author	Jayawickrama, BA
dc.contributor.author	He, Y https://orcid.org/0000-0003-1603-9375
dc.date.accessioned	2023-03-21T06:25:09Z
dc.date.available	2023-03-21T06:25:09Z
dc.date.issued	2022-09-01
dc.identifier.citation	IEEE Wireless Communications Letters, 2022, 11, (9), pp. 2015-2018
dc.identifier.issn	2162-2337
dc.identifier.issn	2162-2345
dc.identifier.uri	http://hdl.handle.net/10453/167976
dc.description.abstract	Layered Normalised Min-Sum algorithm is a widely used message passing algorithm for decoding Low Density Parity Check codes. The decoding performance heavily depends on the normalisation factor. Firstly, we leverage the bit structure present in 5G transport blocks to develop an improved decoding algorithm for 5G. Secondly, we determine the optimal normalisation factors of the proposed algorithm using a Deep Neural Network. Performance evaluations show an improvement of 0.3-1.9 dB, with no extra cost on multiplier resources on hardware. Hence, the proposed method is highly attractive for practical 5G decoder implementations.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Wireless Communications Letters
dc.relation.isbasedon	10.1109/LWC.2022.3192518
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0805 Distributed Computing, 0906 Electrical and Electronic Engineering, 1005 Communications Technologies
dc.title	Improved Layered Normalized Min-Sum Algorithm for 5G NR LDPC
dc.type	Journal Article
utslib.citation.volume	11
utslib.for	0805 Distributed Computing
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	1005 Communications Technologies
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2024-07-20T00:00:00+1000Z
dc.date.updated	2023-03-21T06:25:08Z
pubs.issue	9
pubs.publication-status	Published
pubs.volume	11
utslib.citation.issue	9

Abstract:

Layered Normalised Min-Sum algorithm is a widely used message passing algorithm for decoding Low Density Parity Check codes. The decoding performance heavily depends on the normalisation factor. Firstly, we leverage the bit structure present in 5G transport blocks to develop an improved decoding algorithm for 5G. Secondly, we determine the optimal normalisation factors of the proposed algorithm using a Deep Neural Network. Performance evaluations show an improvement of 0.3-1.9 dB, with no extra cost on multiplier resources on hardware. Hence, the proposed method is highly attractive for practical 5G decoder implementations.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/167976