The University of Southampton
University of Southampton Institutional Repository

Minimum Symbol Error Rate Turbo Multiuser Beamforming Aided QAM Receiver

Tan, S, Chen, S and Hanzo, L (2008) Minimum Symbol Error Rate Turbo Multiuser Beamforming Aided QAM Receiver At IEEE WCNC'08, United States. 31 Mar - 03 Apr 2008. , pp. 912-916.

Record type: Conference or Workshop Item (Paper)


This paper studies a novel iterative soft interference cancellation (SIC) aided beamforming receiver designed for highthroughput quadrature amplitude modulation systems communicating over additive white Gaussian noise channels. The proposed linear SIC aided minimum symbol error rate (MSER) multiuser detection scheme guarantees the direct and explicit minimisation of the symbol error rate at the output of the detector. Based on the extrinsic information transfer (EXIT) chart technique, we compare the EXIT characteristics of an iterative MSER multiuser detector (MUD) with those of the conventional minimum mean squared error (MMSE) detector. As expected, the proposed SICMSER MUD outperforms the SIC aided MMSE MUD.

PDF T01S35P03.PDF - Version of Record
Download (203kB)

More information

Published date: April 2008
Additional Information: Event Dates: 31 March - 3 April 2008
Venue - Dates: IEEE WCNC'08, United States, 2008-03-31 - 2008-04-03
Organisations: Southampton Wireless Group


Local EPrints ID: 265405
PURE UUID: 1db4dc42-d09e-4b3c-b6fa-eb6da9f58f28

Catalogue record

Date deposited: 08 Apr 2008 12:47
Last modified: 18 Jul 2017 07:26

Export record


Author: S Tan
Author: S Chen
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 supports OAI 2.0 with a base URL of

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.