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Singular Direction-Based Quantizer and Receiver Designs for User Cooperative Distributed Reception

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dc.contributor.authorSong, Jiho-
dc.contributor.authorHyun, Seong-Hwan-
dc.contributor.authorKim, Keunwoo-
dc.contributor.authorYoon, Young-Jun-
dc.contributor.authorPark, Juho-
dc.contributor.authorLee, Moon-Sik-
dc.contributor.authorLee, Jong-Ho-
dc.contributor.authorKim, Seong-Cheol-
dc.date.accessioned2023-07-05T05:34:02Z-
dc.date.available2023-07-05T05:34:02Z-
dc.date.issued2023-03-
dc.identifier.issn1932-8184-
dc.identifier.issn1937-9234-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/112970-
dc.description.abstractIn this article, we develop a distributed reception system to fully utilize spatial multiplexing gain by exploiting the massive connections in beyond fifth-generation networks. In a distributed reception system, assistant receiving nodes have to quantize the received signals in order to forward them to a final destination node. A signal quantizer with high-resolution codebooks can improve signal quantization performance, although it burdens the data-exchange link between devices. We propose signal quantization and reception strategies to facilitate the distributed reception system by allowing a small amount of data-exchange. First, we develop a singular direction-based signal quantizer to include more channel gain in the received signals by employing low-resolution codebooks. Furthermore, we develop a minimum mean square error type receiver for a user cooperation network to facilitate distributed reception without the aid of a fusion center. Lastly, a quantization resource allocation algorithm is developed to maximize network throughput by using limited quantization resources. Simulation results are presented to evaluate the sum-rate performance of the quantized distributed reception system.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.titleSingular Direction-Based Quantizer and Receiver Designs for User Cooperative Distributed Reception-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/JSYST.2022.3229319-
dc.identifier.scopusid2-s2.0-85146250094-
dc.identifier.wosid000910532100001-
dc.identifier.bibliographicCitationIEEE Systems Journal, v.17, no.1, pp 349 - 360-
dc.citation.titleIEEE Systems Journal-
dc.citation.volume17-
dc.citation.number1-
dc.citation.startPage349-
dc.citation.endPage360-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalResearchAreaTelecommunications-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryTelecommunications-
dc.subject.keywordPlusCOORDINATED MULTIPOINT TRANSMISSION-
dc.subject.keywordPlusVECTOR QUANTIZATION-
dc.subject.keywordPlusMASSIVE MIMO-
dc.subject.keywordPlusFD-MIMO-
dc.subject.keywordPlusSYSTEMS-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusDIVERSITY-
dc.subject.keywordAuthorDistributed reception-
dc.subject.keywordAuthorsignal quantization-
dc.subject.keywordAuthoruser cooperation-
dc.subject.keywordAuthorultradense network-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/10002320-
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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