The University of Southampton
University of Southampton Institutional Repository

Improved Hybrid MMSE Detection for Turbo Trellis Coded Modulation Assisted Multi-User OFDM Systems

Improved Hybrid MMSE Detection for Turbo Trellis Coded Modulation Assisted Multi-User OFDM Systems
Improved Hybrid MMSE Detection for Turbo Trellis Coded Modulation Assisted Multi-User OFDM Systems
A genetic algorithm assisted minimum mean-square error (MMSE) multi-user detector (MUD) is proposed for a turbo-trellis-coded modulation-based space division multiple access aided orthogonal frequency division multiplexing system. The simulation results show that the system employing the concatenated MMSE-GA MUD was capable of achieving a similar performance to that attained by its optimum counterpart employing the maximum likelihood MUD, while maintaining a significantly lower complexity, especially when supporting a high number of users.
0013-5194
1002-1003
Jiang, M.
bea4a2f2-837f-4dac-9b59-d7f1e1269db7
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Jiang, M.
bea4a2f2-837f-4dac-9b59-d7f1e1269db7
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Jiang, M. and Hanzo, L. (2004) Improved Hybrid MMSE Detection for Turbo Trellis Coded Modulation Assisted Multi-User OFDM Systems. Electronics Letters, 40 (16), 1002-1003.

Record type: Article

Abstract

A genetic algorithm assisted minimum mean-square error (MMSE) multi-user detector (MUD) is proposed for a turbo-trellis-coded modulation-based space division multiple access aided orthogonal frequency division multiplexing system. The simulation results show that the system employing the concatenated MMSE-GA MUD was capable of achieving a similar performance to that attained by its optimum counterpart employing the maximum likelihood MUD, while maintaining a significantly lower complexity, especially when supporting a high number of users.

Text
mj-lh-aug04-el.pdf - Other
Download (234kB)

More information

Published date: 2004
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 260343
URI: https://eprints.soton.ac.uk/id/eprint/260343
ISSN: 0013-5194
PURE UUID: 0c56beb7-307c-4596-abb1-b41448a9d52e
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 20 Jan 2005
Last modified: 10 Sep 2019 00:56

Export record

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 https://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.

×