A Genetic Algorithm-based Antenna Selection Approach for Large-but-Finite MIMO Networks

Handle URI:
http://hdl.handle.net/10754/623706
Title:
A Genetic Algorithm-based Antenna Selection Approach for Large-but-Finite MIMO Networks
Authors:
Makki, Behrooz ( 0000-0001-7863-997X ) ; Ide, Anatole; Svensson, Tommy; Eriksson, Thomas; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
We study the performance of antenna selectionbased multiple-input-multiple-output (MIMO) networks with large but finite number of transmit antennas and receivers. Considering the continuous and bursty communication scenarios with different users’ data request probabilities, we develop an efficient antenna selection scheme using genetic algorithms (GA). As demonstrated, the proposed algorithm is generic in the sense that it can be used in the cases with different objective functions, precoding methods, levels of available channel state information and channel models. Our results show that the proposed GAbased algorithm reaches (almost) the same throughput as the exhaustive search-based optimal approach, with substantially less implementation complexity.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Citation:
Makki B, Ide A, Svensson T, Eriksson T, Alouini M-S (2017) A Genetic Algorithm-based Antenna Selection Approach for Large-but-Finite MIMO Networks. IEEE Transactions on Vehicular Technology: 1–1. Available: http://dx.doi.org/10.1109/tvt.2016.2646139.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Transactions on Vehicular Technology
Issue Date:
29-Dec-2016
DOI:
10.1109/tvt.2016.2646139
Type:
Article
ISSN:
0018-9545; 1939-9359
Additional Links:
http://ieeexplore.ieee.org/document/7801976/
Appears in Collections:
Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorMakki, Behroozen
dc.contributor.authorIde, Anatoleen
dc.contributor.authorSvensson, Tommyen
dc.contributor.authorEriksson, Thomasen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-05-25T10:55:12Z-
dc.date.available2017-05-25T10:55:12Z-
dc.date.issued2016-12-29en
dc.identifier.citationMakki B, Ide A, Svensson T, Eriksson T, Alouini M-S (2017) A Genetic Algorithm-based Antenna Selection Approach for Large-but-Finite MIMO Networks. IEEE Transactions on Vehicular Technology: 1–1. Available: http://dx.doi.org/10.1109/tvt.2016.2646139.en
dc.identifier.issn0018-9545en
dc.identifier.issn1939-9359en
dc.identifier.doi10.1109/tvt.2016.2646139en
dc.identifier.urihttp://hdl.handle.net/10754/623706-
dc.description.abstractWe study the performance of antenna selectionbased multiple-input-multiple-output (MIMO) networks with large but finite number of transmit antennas and receivers. Considering the continuous and bursty communication scenarios with different users’ data request probabilities, we develop an efficient antenna selection scheme using genetic algorithms (GA). As demonstrated, the proposed algorithm is generic in the sense that it can be used in the cases with different objective functions, precoding methods, levels of available channel state information and channel models. Our results show that the proposed GAbased algorithm reaches (almost) the same throughput as the exhaustive search-based optimal approach, with substantially less implementation complexity.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urlhttp://ieeexplore.ieee.org/document/7801976/en
dc.rights(c) 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.en
dc.titleA Genetic Algorithm-based Antenna Selection Approach for Large-but-Finite MIMO Networksen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalIEEE Transactions on Vehicular Technologyen
dc.eprint.versionPost-printen
dc.contributor.institutionChalmers University of Technologyen
dc.contributor.institutionESIEE AMIENS, Amiens, Franceen
kaust.authorAlouini, Mohamed-Slimen
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.