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On the Fundamental Tradeoff of Joint Communication and Quickest Change Detection
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dc.contributor.author Seo, Daewon -
dc.contributor.author Lim, Sung Hoon -
dc.date.accessioned 2025-02-03T10:40:12Z -
dc.date.available 2025-02-03T10:40:12Z -
dc.date.created 2024-09-12 -
dc.date.issued 2024-07-11 -
dc.identifier.isbn 9798350382846 -
dc.identifier.issn 2157-8117 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/57848 -
dc.description.abstract In this study, we investigate the tradeoff between communication rate and quickest change detection (QCD) in integrated sensing and communication. We establish a joint problem for QCD, utilizing constant subblock-composition codes and a modified CuSum detection rule, named subblock CuSum (SCS). This approach provides an inner bound for the tradeoff between communication rate and change point detection delay in low false alarm scenarios. Our findings show that SCS is asymptotically optimal for certain code classes. © 2024 IEEE. -
dc.language English -
dc.publisher IEEE Information Theory Society -
dc.relation.ispartof IEEE International Symposium on Information Theory - Proceedings -
dc.title On the Fundamental Tradeoff of Joint Communication and Quickest Change Detection -
dc.type Conference Paper -
dc.identifier.doi 10.1109/ISIT57864.2024.10619482 -
dc.identifier.wosid 001304426902155 -
dc.identifier.scopusid 2-s2.0-85202894286 -
dc.identifier.bibliographicCitation Seo, Daewon. (2024-07-11). On the Fundamental Tradeoff of Joint Communication and Quickest Change Detection. 2024 IEEE International Symposium on Information Theory, ISIT 2024, 2796–2801. doi: 10.1109/ISIT57864.2024.10619482 -
dc.identifier.url https://cmsworkshops.com/ISIT2024/view_paper.php?PaperNum=1277 -
dc.citation.conferenceDate 2024-07-07 -
dc.citation.conferencePlace GR -
dc.citation.conferencePlace Athens -
dc.citation.endPage 2801 -
dc.citation.startPage 2796 -
dc.citation.title 2024 IEEE International Symposium on Information Theory, ISIT 2024 -
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서대원
Seo, Daewon서대원

Department of Electrical Engineering and Computer Science

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