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Adaptive minimum symbol error rate beamforming assisted receiver for quadrature amplitude modulation systems

Adaptive minimum symbol error rate beamforming assisted receiver for quadrature amplitude modulation systems
Adaptive minimum symbol error rate beamforming assisted receiver for quadrature amplitude modulation systems
An adaptive beamforming assisted receiver is proposed for multiple antenna aided multiuser systems that employ bandwidth efficient quadrature amplitude modulation (QAM). A novel minimum symbol error rate (MSER) design is proposed for the beamforming assisted receiver, where the system’s symbol error rate is directly optimized. Hence the MSER approach provides a significant symbol error ratio performance enhancement over the classic minimum mean square error design. A sample-by-sample adaptive algorithm, referred to as the least symbol error rate (LBER) technique, is derived for allowing the adaptive implementation of the system to arrive from its initial beamforming weight solution to MSER beamforming solution.
2236-2240
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Du, H.Q
f0ac7b37-d243-4b50-a48e-92ff05a30a2b
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Du, H.Q
f0ac7b37-d243-4b50-a48e-92ff05a30a2b
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Chen, S., Du, H.Q and Hanzo, L. (2006) Adaptive minimum symbol error rate beamforming assisted receiver for quadrature amplitude modulation systems. IEEE VTC'06 (Spring), Australia. 07 - 10 May 2006. pp. 2236-2240 .

Record type: Conference or Workshop Item (Paper)

Abstract

An adaptive beamforming assisted receiver is proposed for multiple antenna aided multiuser systems that employ bandwidth efficient quadrature amplitude modulation (QAM). A novel minimum symbol error rate (MSER) design is proposed for the beamforming assisted receiver, where the system’s symbol error rate is directly optimized. Hence the MSER approach provides a significant symbol error ratio performance enhancement over the classic minimum mean square error design. A sample-by-sample adaptive algorithm, referred to as the least symbol error rate (LBER) technique, is derived for allowing the adaptive implementation of the system to arrive from its initial beamforming weight solution to MSER beamforming solution.

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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: 262091
URI: https://eprints.soton.ac.uk/id/eprint/262091
PURE UUID: 4af13757-e548-4513-8eea-7f49ba5a7ea9
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 17 Mar 2006
Last modified: 06 Jun 2018 13:14

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Contributors

Author: S. Chen
Author: H.Q Du
Author: L. Hanzo ORCID iD

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