Pilot Tones Optimization Using Artificial Bee Colony Algorithm for MIMO-OFDM Systems

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dc.contributor.authorSeyman, Muhammet Nuri
dc.contributor.authorTaspinar, Necmi
dc.date.accessioned2020-06-25T18:07:11Z
dc.date.available2020-06-25T18:07:11Z
dc.date.issued2013
dc.departmentKırıkkale Üniversitesi
dc.description.abstractHow to design the pilot tones that are used in channel estimation has a significant effect on the estimation performance. To achieve good performance in least square (LS) algorithm, we propose the artificial bee colony (ABC) algorithm for optimizing the placement of pilot tones in MIMO-OFDM systems. We also derive the upper bound of mean square error of LS estimation with the help of Gerschgorin disc theorem for fitness function of ABC algorithm. The results show that designing pilot tones using the ABC algorithm outperforms other considered placement strategies in terms of high system performance and low computational complexity.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.doi10.1007/s11277-012-0807-z
dc.identifier.endpage163en_US
dc.identifier.issn0929-6212
dc.identifier.issn1572-834X
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-84879411803
dc.identifier.scopusqualityQ2
dc.identifier.startpage151en_US
dc.identifier.urihttps://doi.org/10.1007/s11277-012-0807-z
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5504
dc.identifier.volume71en_US
dc.identifier.wosWOS:000320466800009
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringeren_US
dc.relation.ispartofWireless Personal Communications
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMIMO-OFDMen_US
dc.subjectChannel estimationen_US
dc.subjectABC algorithmen_US
dc.subjectLS algorithmen_US
dc.titlePilot Tones Optimization Using Artificial Bee Colony Algorithm for MIMO-OFDM Systemsen_US
dc.typeArticle

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