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Minimum Symbol Error Rate Turbo Multiuser Beamforming Aided QAM Receiver

Minimum Symbol Error Rate Turbo Multiuser Beamforming Aided QAM Receiver
Minimum Symbol Error Rate Turbo Multiuser Beamforming Aided QAM Receiver
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.
912-916
Tan, S
2eb457aa-a30a-430e-80bb-829b11e16bc6
Chen, S
721af489-6f76-4a22-a932-50a37f2bdd67
Hanzo, L
66e7266f-3066-4fc0-8391-e000acce71a1
Tan, S
2eb457aa-a30a-430e-80bb-829b11e16bc6
Chen, S
721af489-6f76-4a22-a932-50a37f2bdd67
Hanzo, L
66e7266f-3066-4fc0-8391-e000acce71a1

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

Record type: Conference or Workshop Item (Paper)

Abstract

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.

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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

Identifiers

Local EPrints ID: 265405
URI: http://eprints.soton.ac.uk/id/eprint/265405
PURE UUID: 1db4dc42-d09e-4b3c-b6fa-eb6da9f58f28
ORCID for L Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 08 Apr 2008 12:47
Last modified: 20 Jul 2019 01:26

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