6 citations · 6 across the 3 of their papers we have counts for
7 papers
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching
Sujin Kook, Won-Yong Shin, Seong-Lyun Kim +1
The vision of pervasive artificial intelligence (AI) services can be realized by training an AI model on time using real-time data collected by internet of things (IoT) devices. To…
Mobility-Induced Graph Learning for WiFi Positioning
Kyuwon Han, Seung Min Yu, Seong-Lyun Kim +1
A smartphone-based user mobility tracking could be effective in finding his/her location, while the unpredictable error therein due to low specification of built-in inertial measur…
Towards Semantic Communication Protocols for 6G: From Protocol Learning to Language-Oriented Approaches
Jihong Park, Seung-Woo Ko, Jinho Choi +2
The forthcoming 6G systems are expected to address a wide range of non-stationary tasks. This poses challenges to traditional medium access control (MAC) protocols that are static…
Semantics Alignment via Split Learning for Resilient Multi-User Semantic Communication
Jinhyuk Choi, Jihong Park, Seung-Woo Ko +3
Recent studies on semantic communication commonly rely on neural network (NN) based transceivers such as deep joint source and channel coding (DeepJSCC). Unlike traditional transce…
Towards Semantic Communication Protocols: A Probabilistic Logic Perspective
Sejin Seo, Jihong Park, Seung-Woo Ko +3
Classical medium access control (MAC) protocols are interpretable, yet their task-agnostic control signaling messages (CMs) are ill-suited for emerging mission-critical application…
Cognitive Random Access for Internet-of-Things Networks
Hyesung Kim, Seung-Woo Ko, Seong-Lyun Kim
This paper focuses on cognitive radio (CR) internet- of-things (IoT) networks where spectrum sensors are deployed for IoT CR devices, which do not have enough hardware capability t…