Composite vector quantization for optimizing antenna locations

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Uykan, Zekeriya
dc.contributor.author Jäntti, Riku
dc.date.accessioned 2018-12-10T10:16:49Z
dc.date.available 2018-12-10T10:16:49Z
dc.date.issued 2018-05-30
dc.identifier.citation Uykan , Z & Jäntti , R 2018 , ' Composite vector quantization for optimizing antenna locations ' , Turkish Journal of Electrical Engineering and Computer Sciences , vol. 26 , no. 3 , pp. 1225-12335 . https://doi.org/10.3906/elk-1512-245 en
dc.identifier.issn 1300-0632
dc.identifier.other PURE UUID: 4d44068f-4637-468d-bc65-ad999a2b0d4e
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/composite-vector-quantization-for-optimizing-antenna-locations(4d44068f-4637-468d-bc65-ad999a2b0d4e).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85048217461&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/29642212/ELEC_jantti_et_al_elk_26_3_9_1512_245.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/35036
dc.description.abstract In this paper, we study the location optimization problem of remote antenna units (Raus) in generalized distributed antenna systems (GDASs). We propose a composite vector quantization (CVQ) algorithm that consists of unsupervised and supervised terms for Rau location optimization. We show that the CVQ can be used i) to minimize an upper bound to the cell-averaged SNR error for a desired/demanded location-specific SNR function, and ii) to maximize the cell-averaged effective SNR. The CVQ-DAS includes the standard VQ, and thus the well-known squared distance criterion (SDC) as a special case. Computer simulations confirm the findings and suggest that the proposed CVQ-DAS outperforms the SDC in terms of cell-averaged “effective SNR”. en
dc.format.extent 11111
dc.format.extent 1225-12335
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries Turkish Journal of Electrical Engineering and Computer Sciences en
dc.relation.ispartofseries Volume 26, issue 3 en
dc.rights openAccess en
dc.subject.other Computer Science(all) en
dc.subject.other Electrical and Electronic Engineering en
dc.subject.other 113 Computer and information sciences en
dc.title Composite vector quantization for optimizing antenna locations en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department American University of the Middle East
dc.contributor.department Department of Communications and Networking
dc.subject.keyword Antenna allocation problem
dc.subject.keyword Clustering
dc.subject.keyword Distributed antenna system
dc.subject.keyword Squared distance criterion
dc.subject.keyword Computer Science(all)
dc.subject.keyword Electrical and Electronic Engineering
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201812106051
dc.identifier.doi 10.3906/elk-1512-245
dc.type.version publishedVersion


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