Differential evolution algorithm aided MBER beamforming receiver for quadrature amplitude modulation systems
Differential evolution algorithm aided MBER beamforming receiver for quadrature amplitude modulation systems
Evolutionary computational intelligence methods have found wide-ranging application in communication and other walks of engineering. The main attraction of adopting evolutionary computational intelligence algorithms is that they may facilitate global or near global optimal designs with affordable computational costs. This contribution considers the beamforming assisted multiple-antenna receiver for multi-user quadrature amplitude modulation systems. The bit error rate (BER) expression as the function of the beamformer's weight vector is derived explicitly. The minimum BER (MBER) beamforming receiver can then be obtained as the solution of the resulting optimisation problem that minimises the MBER criterion. We propose to employ a differential evolution algorithm to solve the MBER optimisation by its virtue of computational efficiency and ability to locate a global minimum quickly.
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Mu, Xiaomin
3d578909-36ba-4b16-b703-2ef63532116c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
September 2011
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Mu, Xiaomin
3d578909-36ba-4b16-b703-2ef63532116c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Jiankang, Chen, Sheng, Mu, Xiaomin and Hanzo, Lajos
(2011)
Differential evolution algorithm aided MBER beamforming receiver for quadrature amplitude modulation systems.
11th UK Workshop on Computational Intelligence, Manchester, United Kingdom.
07 - 09 Sep 2011.
6 pp
.
Record type:
Conference or Workshop Item
(Other)
Abstract
Evolutionary computational intelligence methods have found wide-ranging application in communication and other walks of engineering. The main attraction of adopting evolutionary computational intelligence algorithms is that they may facilitate global or near global optimal designs with affordable computational costs. This contribution considers the beamforming assisted multiple-antenna receiver for multi-user quadrature amplitude modulation systems. The bit error rate (BER) expression as the function of the beamformer's weight vector is derived explicitly. The minimum BER (MBER) beamforming receiver can then be obtained as the solution of the resulting optimisation problem that minimises the MBER criterion. We propose to employ a differential evolution algorithm to solve the MBER optimisation by its virtue of computational efficiency and ability to locate a global minimum quickly.
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ukci2011dember.pdf
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UKCI2011-DEMBER.pdf
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More information
Published date: September 2011
Additional Information:
Event Dates: September 7-9, 2011
Venue - Dates:
11th UK Workshop on Computational Intelligence, Manchester, United Kingdom, 2011-09-07 - 2011-09-09
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 272728
URI: http://eprints.soton.ac.uk/id/eprint/272728
PURE UUID: 97aef173-c3f9-474f-9cf2-ad33213cc4ba
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Date deposited: 30 Aug 2011 12:53
Last modified: 18 Mar 2024 03:14
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Contributors
Author:
Jiankang Zhang
Author:
Sheng Chen
Author:
Xiaomin Mu
Author:
Lajos Hanzo
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