The University of Southampton
University of Southampton Institutional Repository

Coding against Spreading Gain Optimization of Nonbinary BCH Coded CDMA System

Coding against Spreading Gain Optimization of Nonbinary BCH Coded CDMA System
Coding against Spreading Gain Optimization of Nonbinary BCH Coded CDMA System
The joint analytical optimisation of the spreading gain and coding gain of nonbinary BCH coded CDMA communication systems is considered in both single-cell and multi-cell scenarios. Furthermore, two types of detectors were employed, namely the minimum mean square error multiuser detector and the classic single-user matched filter detector. It is shown that the optimum coding rate varied over a wide range.
0013-5194
816-817
Wei, H.
c99f7f91-cfea-4292-8f88-6b184ff81446
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Wei, H.
c99f7f91-cfea-4292-8f88-6b184ff81446
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Wei, H. and Hanzo, L. (2005) Coding against Spreading Gain Optimization of Nonbinary BCH Coded CDMA System. Electronics Letters, 41 (14), 816-817.

Record type: Article

Abstract

The joint analytical optimisation of the spreading gain and coding gain of nonbinary BCH coded CDMA communication systems is considered in both single-cell and multi-cell scenarios. Furthermore, two types of detectors were employed, namely the minimum mean square error multiuser detector and the classic single-user matched filter detector. It is shown that the optimum coding rate varied over a wide range.

Text
hw-lh-july05-el.pdf - Other
Download (85kB)

More information

Published date: July 2005
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 261648
URI: http://eprints.soton.ac.uk/id/eprint/261648
ISSN: 0013-5194
PURE UUID: eada9736-1a53-4695-88c6-ffba41956267
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 13 Dec 2005
Last modified: 18 Mar 2024 02:33

Export record

Contributors

Author: H. Wei
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.

×