The University of Southampton
University of Southampton Institutional Repository

Design criteria and genetic algorithm aided optimization of three-stage-concatenated space-time shift keying systems

Design criteria and genetic algorithm aided optimization of three-stage-concatenated space-time shift keying systems
Design criteria and genetic algorithm aided optimization of three-stage-concatenated space-time shift keying systems
The Space-Time Shift Keying (STSK) framework subsumes diverse Multiple-Input Multiple-Output (MIMO) schemes, offering a near-capacity performance at a reduced complexity. The STSK system’s performance crucially depends on the dispersion matrix (DM) set used for encoding the transmitted symbols. We introduce a novel criterion, based on EXtrinsic Information Transfer (EXIT) chart analysis, for selecting capacity-approaching sets from candidate DMs, and a novel Genetic Algorithm (GA) for efficiently exploring the search space formed by the candidate DM sets. Our proposed GA allows obtaining DM sets that enhance the system’s performance compared to a random selection, while simultaneously reducing the search algorithm’s complexity.
exit charts, genetic algorithm, mimo schemes, space–time shift keying (stsk)
543-546
Babich, Fulvio
bde56684-2789-4377-861f-2d8bddf58c5c
Crismani, Alessandro
4326264b-427e-428e-9897-62d506f54ac5
Driusso, Marco
d4042aae-653a-4971-8d36-ad75fe428a8c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Babich, Fulvio
bde56684-2789-4377-861f-2d8bddf58c5c
Crismani, Alessandro
4326264b-427e-428e-9897-62d506f54ac5
Driusso, Marco
d4042aae-653a-4971-8d36-ad75fe428a8c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Babich, Fulvio, Crismani, Alessandro, Driusso, Marco and Hanzo, Lajos (2012) Design criteria and genetic algorithm aided optimization of three-stage-concatenated space-time shift keying systems. IEEE Signal Processing Letters, 19 (8), 543-546. (doi:10.1109/LSP.2012.2206022).

Record type: Article

Abstract

The Space-Time Shift Keying (STSK) framework subsumes diverse Multiple-Input Multiple-Output (MIMO) schemes, offering a near-capacity performance at a reduced complexity. The STSK system’s performance crucially depends on the dispersion matrix (DM) set used for encoding the transmitted symbols. We introduce a novel criterion, based on EXtrinsic Information Transfer (EXIT) chart analysis, for selecting capacity-approaching sets from candidate DMs, and a novel Genetic Algorithm (GA) for efficiently exploring the search space formed by the candidate DM sets. Our proposed GA allows obtaining DM sets that enhance the system’s performance compared to a random selection, while simultaneously reducing the search algorithm’s complexity.

Text
Proofs.pdf - Other
Restricted to Repository staff only
Request a copy

More information

e-pub ahead of print date: 10 June 2012
Published date: August 2012
Keywords: exit charts, genetic algorithm, mimo schemes, space–time shift keying (stsk)
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 340727
URI: https://eprints.soton.ac.uk/id/eprint/340727
PURE UUID: 966c6ff4-dfe6-4c87-856d-fd73cb6de96e
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 02 Jul 2012 10:42
Last modified: 20 Jul 2019 01:26

Export record

Altmetrics

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 https://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.

×