https://scholar.dgist.ac.kr/handle/20.500.11750/16003 2026-04-04T13:37:05Z https://scholar.dgist.ac.kr/handle/20.500.11750/57848 Title: On the Fundamental Tradeoff of Joint Communication and Quickest Change Detection Author(s): Seo, Daewon; Lim, Sung Hoon 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. 2024-07-10T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/57809 Title: Integrated Communication and Binary State Detection from Hoeffding's Perspective Author(s): Seo, Daewon; Lim, Sung Hoon Abstract: This work considers a problem of integrated sensing and communication (ISAC) from an information-theoretic per-spective, in which the goal of sensing is to detect a binary state. We assume a broadcast channel that consists of a transmitter, a communication receiver, and a binary detector where the detector's channel is affected by an unknown binary state. Unlike most approaches where the detection error probability is considered, in our work, we analyze and disaggregate the error probability into more detailed components, false alarm and missed detection error exponents. We fully characterize the optimal three-way tradeoff between the coding rate for communication and the two possibly nonidentical error exponents for sensing in the asymptotic regime. The achievability and converse proofs rely on the analysis of the cumulant-generating function of the log-likelihood ratio. We also provide numerical evaluations of our results for binary and Gaussian channels. © 2024 International Federation for Information Processing - IFIP. 2024-10-21T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/46826 Title: Information and Energy Transmission with Wavelet-Reconstructed Harvesting Functions Author(s): Seo, Daewon; Kim, Yongjune Abstract: In practical simultaneous information and energy transmission (SIET), the exact energy harvesting function is usually unavailable because a harvesting circuit is nonlinear and nonideal. In this work, we consider a SIET problem where the harvesting function is accessible only at sample points that are experimentally taken in the presence of noise. Assuming that the harvesting function is of bounded variation that may have discontinuities, we propose to design SIET based on the wavelet-reconstructed harvesting function. The main focus is its asymptotic performance of expected energy and information rate. Specifically, we propose to design a SIET system based on the wavelet-reconstructed harvesting function with soft-thresholding estimation. Then, the expected loss in energy transmission asymptotically vanishes as the number of samples grows, which turns out to be optimal up to a logarithmic factor. The expected loss in information transmission also vanishes if the target energy delivery is in the interior of the deliverable energy range. © 2022 IEEE. 2022-06-26T15:00:00Z