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Fading Performance Evaluation of Adaptive MSER Beamforming Receiver for QAM Systems

Fading Performance Evaluation of Adaptive MSER Beamforming Receiver for QAM Systems
Fading Performance Evaluation of Adaptive MSER Beamforming Receiver for QAM Systems
The ever-increasing demand for mobile communication capacity has motivated the development of adaptive antenna array assisted spatial processing techniques for bandwidth efficiency, high-throughput quadrature amplitude modulation (QAM) systems. We evaluate performance of adaptive beamforming assisted detection for QAM systems in Rayleigh fading environments. An adaptive minimum symbol error rate design, referred to as the least symbol error rate, is shown to be capable of successfully operating in fast fading conditions and to consistently outperform the conventional adaptive beamforming benchmarker based on the least mean square algorithm.
4450-4455
Livingstone, A.
9899a7a8-8517-4b86-9d15-cd52d57efbfc
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Livingstone, A.
9899a7a8-8517-4b86-9d15-cd52d57efbfc
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1

Livingstone, A., Chen, S. and Hanzo, L. (2007) Fading Performance Evaluation of Adaptive MSER Beamforming Receiver for QAM Systems. IEEE ICC'07, United Kingdom. 24 - 28 Jun 2007. pp. 4450-4455 .

Record type: Conference or Workshop Item (Paper)

Abstract

The ever-increasing demand for mobile communication capacity has motivated the development of adaptive antenna array assisted spatial processing techniques for bandwidth efficiency, high-throughput quadrature amplitude modulation (QAM) systems. We evaluate performance of adaptive beamforming assisted detection for QAM systems in Rayleigh fading environments. An adaptive minimum symbol error rate design, referred to as the least symbol error rate, is shown to be capable of successfully operating in fast fading conditions and to consistently outperform the conventional adaptive beamforming benchmarker based on the least mean square algorithm.

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More information

Published date: June 2007
Additional Information: Event Dates: 24-28 June 2007
Venue - Dates: IEEE ICC'07, United Kingdom, 2007-06-24 - 2007-06-28
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 264240
URI: http://eprints.soton.ac.uk/id/eprint/264240
PURE UUID: 41f93462-c3e4-41d9-85ff-1a7c344bbc3a
ORCID for L. Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 29 Jun 2007
Last modified: 20 Jul 2019 01:26

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