The University of Southampton
University of Southampton Institutional Repository

A universal low-complexity symbol-to-bit soft demapper

A universal low-complexity symbol-to-bit soft demapper
A universal low-complexity symbol-to-bit soft demapper
High-order constellations are commonly used for achieving high bandwidth efficiency in most communication systems. However, the complexity of the multiplication operations associated with the standard max-sum approximation of the maximum a posteriori probability in the log-domain (Max-Log-MAP) symbol-to-bit demapper is very high. In this contribution, we conceive a low-complexity universal soft demapper, which reduces the demapper’s complexity considerably for the binary-reflected Gray-labeled pulse amplitude modulation (PAM), phase shift keying (PSK), quadrature amplitude modulation (QAM), and amplitude phase-shift keying (APSK) relying on product constellation labeling (product-APSK). Our theoretical analysis demonstrates that the proposed demapper has exactly the same performance as the Max-Log-MAP demapper for the Gray-labeled PAM, PSK, and QAM. Our theoretical analysis and simulation results also demonstrate that for the Gray-labeled product-APSK, the performance degradation of the proposed simplified soft demapper is negligible for both 64-ary and 256-ary constellations compared with the Max-Log-MAP demapper.
0018-9545
119-130
Wang, Qi
ddfc62a2-708c-43b1-8eed-d68d4e87d96a
Xie, Qiuliang
e53ef0f5-d9bf-4002-b089-a04ad36bc6f0
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Wang, Qi
ddfc62a2-708c-43b1-8eed-d68d4e87d96a
Xie, Qiuliang
e53ef0f5-d9bf-4002-b089-a04ad36bc6f0
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Wang, Qi, Xie, Qiuliang, Wang, Zhaocheng, Chen, Sheng and Hanzo, Lajos (2014) A universal low-complexity symbol-to-bit soft demapper. IEEE Transactions on Vehicular Technology, 63 (1), 119-130.

Record type: Article

Abstract

High-order constellations are commonly used for achieving high bandwidth efficiency in most communication systems. However, the complexity of the multiplication operations associated with the standard max-sum approximation of the maximum a posteriori probability in the log-domain (Max-Log-MAP) symbol-to-bit demapper is very high. In this contribution, we conceive a low-complexity universal soft demapper, which reduces the demapper’s complexity considerably for the binary-reflected Gray-labeled pulse amplitude modulation (PAM), phase shift keying (PSK), quadrature amplitude modulation (QAM), and amplitude phase-shift keying (APSK) relying on product constellation labeling (product-APSK). Our theoretical analysis demonstrates that the proposed demapper has exactly the same performance as the Max-Log-MAP demapper for the Gray-labeled PAM, PSK, and QAM. Our theoretical analysis and simulation results also demonstrate that for the Gray-labeled product-APSK, the performance degradation of the proposed simplified soft demapper is negligible for both 64-ary and 256-ary constellations compared with the Max-Log-MAP demapper.

Text
tvt-hanzo-2272640-proof.pdf - Version of Record
Download (2MB)
Text
TVT2014-63-1-1.pdf - Other
Download (1MB)

More information

Published date: January 2014
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 354719
URI: http://eprints.soton.ac.uk/id/eprint/354719
ISSN: 0018-9545
PURE UUID: 1ebf478d-7733-4257-8246-8fde88425b5f
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 17 Jul 2013 21:17
Last modified: 18 Mar 2024 02:35

Export record

Contributors

Author: Qi Wang
Author: Qiuliang Xie
Author: Zhaocheng Wang
Author: Sheng Chen
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.

×