Genetic Algorithm Assisted Minimum Bit Error Rate Beamforming
Genetic Algorithm Assisted Minimum Bit Error Rate Beamforming
In this paper a novel Genetic Algorithm (GA) assisted Minimum Bit Error Rate Rate (MBER) beamforming technique is introduced. The performance of the proposed GAS is characterised by the Probability Density Function (PDF) and the mean value of the achievable Bit Error Rate @ER) at the beamformer's output. The results are also compared to the theoretical bounds. It is shown that GAS are suitable for MBER beamforming and that a trade-off between the complexity of the GA and its robustness against system parameter variations can be found.
142-146
Wolfgang, A.
e87811dd-7028-4ac3-90cc-62003ff22202
Ahmad, N.N.
f6105bf9-7a9b-4e91-b1fa-4372662de087
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
May 2004
Wolfgang, A.
e87811dd-7028-4ac3-90cc-62003ff22202
Ahmad, N.N.
f6105bf9-7a9b-4e91-b1fa-4372662de087
Chen, S.
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Wolfgang, A., Ahmad, N.N., Chen, S. and Hanzo, L.
(2004)
Genetic Algorithm Assisted Minimum Bit Error Rate Beamforming.
IEEE VTC'04 (Spring), Milan, Italy.
17 - 19 May 2004.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In this paper a novel Genetic Algorithm (GA) assisted Minimum Bit Error Rate Rate (MBER) beamforming technique is introduced. The performance of the proposed GAS is characterised by the Probability Density Function (PDF) and the mean value of the achievable Bit Error Rate @ER) at the beamformer's output. The results are also compared to the theoretical bounds. It is shown that GAS are suitable for MBER beamforming and that a trade-off between the complexity of the GA and its robustness against system parameter variations can be found.
Text
01387929.pdf
- Other
More information
Published date: May 2004
Additional Information:
Event Dates: 17-19 May 2004
Venue - Dates:
IEEE VTC'04 (Spring), Milan, Italy, 2004-05-17 - 2004-05-19
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 260582
URI: http://eprints.soton.ac.uk/id/eprint/260582
PURE UUID: 64d629d4-1817-487c-b537-6fd872794072
Catalogue record
Date deposited: 28 Feb 2005
Last modified: 18 Mar 2024 02:33
Export record
Contributors
Author:
A. Wolfgang
Author:
N.N. Ahmad
Author:
S. Chen
Author:
L. Hanzo
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