Particle Swarm Optimisation Aided MIMO Multiuser Transmission Designs
Particle Swarm Optimisation Aided MIMO Multiuser Transmission Designs
Bio-inspired computational methods have found wide-ranging applications in signal processing and other walks of engineering. The main attraction of adopting bio-inspired computational intelligence algorithms is that they may facilitate global or near global optimal designs with affordable computational costs. In this contribution, particle swarm optimisation (PSO) is invoked for designing optimal multiuser transmission (MUT) schemes for multiple-input multiple-output communication. Specifically, we consider the minimum bit-error-rate (MBER) linear MUT using PSO and we design a PSO aided MBER generalised vector precoding for nonlinear MUT. These PSO aided MUT techniques compare favourably with the state-of-the-art conventional schemes, in terms of performance and complexity.
266-275
Yao, Wang
d17db2fb-950a-4220-9c5c-d98d10279271
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
February 2012
Yao, Wang
d17db2fb-950a-4220-9c5c-d98d10279271
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Yao, Wang, Chen, Sheng and Hanzo, Lajos
(2012)
Particle Swarm Optimisation Aided MIMO Multiuser Transmission Designs.
Journal of Computational and Theoretical Nanoscience, A Special Issue on A New Frontier of Cognitive Informatics and Cognitive Computing, 9 (2), .
Abstract
Bio-inspired computational methods have found wide-ranging applications in signal processing and other walks of engineering. The main attraction of adopting bio-inspired computational intelligence algorithms is that they may facilitate global or near global optimal designs with affordable computational costs. In this contribution, particle swarm optimisation (PSO) is invoked for designing optimal multiuser transmission (MUT) schemes for multiple-input multiple-output communication. Specifically, we consider the minimum bit-error-rate (MBER) linear MUT using PSO and we design a PSO aided MBER generalised vector precoding for nonlinear MUT. These PSO aided MUT techniques compare favourably with the state-of-the-art conventional schemes, in terms of performance and complexity.
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09CTN02-2021.pdf
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Published date: February 2012
Organisations:
Southampton Wireless Group
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Local EPrints ID: 273194
URI: http://eprints.soton.ac.uk/id/eprint/273194
PURE UUID: eaf0e462-bd85-4196-9142-98bc07064128
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Date deposited: 05 Feb 2012 19:04
Last modified: 18 Mar 2024 02:35
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Author:
Wang Yao
Author:
Sheng Chen
Author:
Lajos Hanzo
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