5 papers
On the Fundamental Tradeoff of Joint Communication and QCD: The Monostatic Case
Sung Hoon Lim, Daewon Seo
This paper investigates the fundamental tradeoff between communication and quickest change detection (QCD) in integrated sensing and communication (ISAC) systems under a monostatic…
Deep Minimax Classifiers for Imbalanced Datasets with a Small Number of Minority Samples
Hansung Choi, Daewon Seo
The concept of a minimax classifier is well-established in statistical decision theory, but its implementation via neural networks remains challenging, particularly in scenarios wi…
Integrated Communication and Binary State Detection Under Unequal Error Constraints
Daewon Seo, Sung Hoon Lim
This work considers a problem of integrated sensing and communication (ISAC) in which the goal of sensing is to detect a binary state. Unlike most approaches that minimize the tota…
Integrated Communication and Bayesian Estimation of Fixed Channel States
Daewon Seo
This work studies an information-theoretic performance limit of an integrated sensing and communication (ISAC) system where the goal of sensing is to estimate a random continuous s…
On the Fundamental Tradeoff of Joint Communication and Quickest Change Detection with State-Independent Data Channels
Daewon Seo, Sung Hoon Lim
In this work, we take the initiative in studying the information-theoretic tradeoff between communication and quickest change detection (QCD) under an integrated sensing and commun…