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Semantic-Based Precoding Design for Multi-user MISO Networks
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dc.contributor.author Kim, Minsu -
dc.contributor.author Kim, Seongjun -
dc.contributor.author Kwak, Jeongho -
dc.contributor.author Lee, Jemin -
dc.date.accessioned 2023-07-17T14:10:16Z -
dc.date.available 2023-07-17T14:10:16Z -
dc.date.created 2023-05-04 -
dc.date.issued 2023-09 -
dc.identifier.issn 2162-2337 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46211 -
dc.description.abstract We consider the precoding design to reduce uninformative data transmissions in multi-user multiple-input singleoutput (MISO) networks. By considering the informativeness as well as the freshness of the data, we first present the peak age of incorrect information (AoII) at each physical machine (PM). We then propose the generalized power iteration (GPI) precoding algorithm to provide the precoding vector of the base station (BS) that minimizes the sum peak AoII of PMs. We show the proposed algorithm outperforms baseline methods by scheduling more for informative data updates. IEEE -
dc.language English -
dc.publisher Institute of Electrical and Electronics Engineers Inc. -
dc.title Semantic-Based Precoding Design for Multi-user MISO Networks -
dc.type Article -
dc.identifier.doi 10.1109/LWC.2023.3265014 -
dc.identifier.scopusid 2-s2.0-85153397593 -
dc.identifier.bibliographicCitation Kim, Minsu. (2023-09). Semantic-Based Precoding Design for Multi-user MISO Networks. IEEE Wireless Communications Letters, 12(9), 1479–1483. doi: 10.1109/LWC.2023.3265014 -
dc.description.isOpenAccess FALSE -
dc.subject.keywordAuthor Age of incorrect information -
dc.subject.keywordAuthor semantic communication -
dc.subject.keywordAuthor multi-user multiple-input single-output -
dc.subject.keywordPlus LOW-LATENCY COMMUNICATIONS -
dc.subject.keywordPlus INFORMATION -
dc.subject.keywordPlus ALLOCATION -
dc.citation.endPage 1483 -
dc.citation.number 9 -
dc.citation.startPage 1479 -
dc.citation.title IEEE Wireless Communications Letters -
dc.citation.volume 12 -
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Kwak, Jeongho곽정호

Department of Electrical Engineering and Computer Science

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