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
August 2012
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), .
(doi:10.1109/LSP.2012.2206022).
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.
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: http://eprints.soton.ac.uk/id/eprint/340727
PURE UUID: 966c6ff4-dfe6-4c87-856d-fd73cb6de96e
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Date deposited: 02 Jul 2012 10:42
Last modified: 18 Mar 2024 02:35
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Contributors
Author:
Fulvio Babich
Author:
Alessandro Crismani
Author:
Marco Driusso
Author:
Lajos Hanzo
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