The University of Southampton
University of Southampton Institutional Repository

Particle Swarm Optimisation Aided MIMO Multiuser Transmission Designs

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
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), 266-275.

Record type: Article

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.

Text
09CTN02-2021.pdf - Version of Record
Download (704kB)

More information

Published date: February 2012
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 273194
URI: http://eprints.soton.ac.uk/id/eprint/273194
PURE UUID: eaf0e462-bd85-4196-9142-98bc07064128
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 05 Feb 2012 19:04
Last modified: 20 Jul 2019 01:26

Export record

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

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×