https://scholar.dgist.ac.kr/handle/20.500.11750/16001 2026-04-11T03:44:11Z https://scholar.dgist.ac.kr/handle/20.500.11750/60015 Title: On the Fundamental Tradeoff of Joint Communication and QCD: The Monostatic Case Author(s): Lim, Sung Hoon; Seo, Daewon Abstract: This paper investigates the fundamental tradeoff between communication and quickest change detection (QCD) in integrated sensing and communication (ISAC) systems under a monostatic setup. We introduce a novel Joint Communication and quickest Change subblock coding Strategy (JCCS) that leverages feedback to adapt coding dynamically based on real-time state estimation. The achievable rate-delay region is characterized using state-dependent mutual information and KL divergence, providing a comprehensive framework for analyzing the interplay between communication performance and detection delay. Moreover, we provide a partial converse demonstrating the asymptotic optimality of the proposed detection algorithm within the JCCS framework. To illustrate the practical implications, we analyze binary and MIMO Gaussian channels, revealing insights into achieving optimal tradeoffs in ISAC system design. © 2025 Elsevier B.V., All rights reserved. 2025-08-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60014 Title: Region-of-Interest-Guided Deep Joint Source-Channel Coding for Image Transmission Author(s): Choi, Hansung; Seo, Daewon Abstract: Deep joint source-channel coding (deepJSCC) methods have shown promising improvements in communication performance over wireless networks. However, existing approaches primarily focus on enhancing overall image reconstruction quality, which may not fully align with user experiences, often driven by the quality of regions of interest (ROI). Motivated by this, we propose ROI-guided joint source-channel coding (ROI-JSCC), a novel deepJSCC framework that prioritizes high-quality transmission of ROI. The ROI-JSCC consists of four key components: (1) Image ROI embedding, (2) ROI-guided split processing, (3) ROI-based loss function design, and (4) ROI-adaptive bandwidth allocation. Together, these components enable ROI-JSCC to selectively enhance the ROI reconstruction quality at varying ROI positions while maintaining overall image quality with minimal computational overhead. Experimental results under diverse communication environments demonstrate that ROI-JSCC significantly improves ROI reconstruction quality while maintaining competitive average image quality compared to recent state-of-the-art methods. 2025-11-30T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/59243 Title: 특징 중요도 인식 기반 이미지 전송을 위한 심층-통합 소스 채널 코딩 시스템 및 방법 Author(s): 서대원; 최한성; 손민서 https://scholar.dgist.ac.kr/handle/20.500.11750/59241 Title: 중심부 보존을 위한 포비티드 심층-통합 소스 채널 코딩 시스템 및 방법 Author(s): 서대원; 손민서; 최한성