The University of Southampton
University of Southampton Institutional Repository

Adaptive MBER space-time DFE assisted multiuser detection for SDMA systems

Record type: Conference or Workshop Item (Paper)

In this contribution we propose a space-time decision feedback equalization (ST-DFE) assisted multiuser detection (MUD) scheme for multiple antenna aided space division multiple access systems. A minimum bit error rate (MBER) design is invoked for the MUD, which is shown to be capable of improving the achievable bit error rate performance over that of the minimum mean square error (MMSE) design. An adaptive MBER ST-DFE-MUD is proposed using the least bit error rate algorithm, which is demonstrated to consistently outperform the least mean square (LMS) algorithm, while achieving a lower computational complexity than the LMS algorithm for the binary signalling scheme. Simulation results demonstrate that theMBER ST-DFE-MUD is more robust to channel estimation errors as well as to error propagation imposed by decision feedback errors, compared to the MMSE ST-DFE-MUD.

PDF vtc06s-clh.pdf - Other
Download (152kB)

Citation

Chen, S., Livingstone, A. and Hanzo, L. (2006) Adaptive MBER space-time DFE assisted multiuser detection for SDMA systems At IEEE VTC'06 (Spring), Australia. 07 - 10 May 2006. , pp. 12-16.

More information

Published date: 2006
Additional Information: Event Dates: 7-10 May 2006
Venue - Dates: IEEE VTC'06 (Spring), Australia, 2006-05-07 - 2006-05-10
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 262573
URI: http://eprints.soton.ac.uk/id/eprint/262573
PURE UUID: 7be10961-6444-41ea-bd69-032274b3b4c0

Catalogue record

Date deposited: 12 May 2006
Last modified: 18 Jul 2017 08:50

Export record

Contributors

Author: S. Chen
Author: A. Livingstone
Author: L. Hanzo

University divisions


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.

×