The University of Southampton
University of Southampton Institutional Repository

On the complexity of unary error correction codes for the near-capacity transmission of symbol values from an infinite set

On the complexity of unary error correction codes for the near-capacity transmission of symbol values from an infinite set
On the complexity of unary error correction codes for the near-capacity transmission of symbol values from an infinite set
Unary Error Correction (UEC) codes have recently been proposed for the near-capacity Joint Source and Channel Coding (JSCC) of symbol values that are selected from a set having an infinite cardinality. In this paper, we characterize the computational complexity of UEC decoders and use complexity analysis for striking a desirable trade-off between the contradictory requirements of low complexity and near-capacity operation. We investigate a wide range of application scenarios and offer a deep insight into their beneficial parameterizations. In particular, we introduce puncturing for controlling the scheme’s throughput and for facilitating fair comparisons with a Separate Source and Channel Coding (SSCC) benchmarker. The UEC scheme is found to offer almost 1.3 dB gain, when operating within 1.6 dB of the capacity bound. This is achieved without any increase in transmission energy, bandwidth, transmit duration or decoding complexity.
978-1-4673-5937-5
2795-2800
Zhang, W.
1c80d4f2-4ba8-41f6-85a6-a76a4d65dc9b
Maunder, R.G.
76099323-7d58-4732-a98f-22a662ccba6c
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, W.
1c80d4f2-4ba8-41f6-85a6-a76a4d65dc9b
Maunder, R.G.
76099323-7d58-4732-a98f-22a662ccba6c
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, W., Maunder, R.G. and Hanzo, L. (2013) On the complexity of unary error correction codes for the near-capacity transmission of symbol values from an infinite set. 2013 IEEE Wireless Communications and Networking Conference (WCNC 2013), , Shanghai, China. 07 - 10 Apr 2013. pp. 2795-2800 . (doi:10.1109/WCNC.2013.6555003).

Record type: Conference or Workshop Item (Paper)

Abstract

Unary Error Correction (UEC) codes have recently been proposed for the near-capacity Joint Source and Channel Coding (JSCC) of symbol values that are selected from a set having an infinite cardinality. In this paper, we characterize the computational complexity of UEC decoders and use complexity analysis for striking a desirable trade-off between the contradictory requirements of low complexity and near-capacity operation. We investigate a wide range of application scenarios and offer a deep insight into their beneficial parameterizations. In particular, we introduce puncturing for controlling the scheme’s throughput and for facilitating fair comparisons with a Separate Source and Channel Coding (SSCC) benchmarker. The UEC scheme is found to offer almost 1.3 dB gain, when operating within 1.6 dB of the capacity bound. This is achieved without any increase in transmission energy, bandwidth, transmit duration or decoding complexity.

Text
1569678857.pdf - Accepted Manuscript
Download (343kB)
Text
slides_WCNC2013.pdf - Other
Download (876kB)

More information

Published date: 7 April 2013
Venue - Dates: 2013 IEEE Wireless Communications and Networking Conference (WCNC 2013), , Shanghai, China, 2013-04-07 - 2013-04-10
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 344059
URI: http://eprints.soton.ac.uk/id/eprint/344059
ISBN: 978-1-4673-5937-5
PURE UUID: 0d80bf8c-9e24-443d-b2f5-270113363600
ORCID for R.G. Maunder: ORCID iD orcid.org/0000-0002-7944-2615
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 11 Oct 2012 11:44
Last modified: 18 Mar 2024 03:09

Export record

Altmetrics

Contributors

Author: W. Zhang
Author: R.G. Maunder ORCID iD
Author: L. 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.

×