7 papers
Context-Aware Wireless Token Communication via Joint Token Masking and Detection
Junyong Shin, Joohyuk Park, Yongjeong Oh +3
The increasing use of token-based representations in language-driven applications has motivated wireless token communication, where tokens are treated as fundamental units for tran…
Context-Aware Iterative Token Detection and Masked Transmission for Wireless Token Communication
Junyong Shin, Joohyuk Park, Jihong Park +2
The success of large-scale language models has established tokens as compact and meaningful units for natural-language representation, which motivates token communication over wire…
Robust Nonlinear Transform Coding: A Framework for Generalizable Joint Source-Channel Coding
Jihun Park, Junyong Shin, Jinsung Park +1
This paper proposes robust nonlinear transform coding (Robust-NTC), a generalizable digital joint source-channel coding (JSCC) framework that couples variational latent modeling wi…
Rate-Adaptive Semantic Communication via Multi-Stage Vector Quantization
Jinsung Park, Junyong Shin, Yongjeong Oh +2
This paper proposes a novel framework for rate-adaptive semantic communication based on multi-stage vector quantization (VQ), termed \textit{MSVQ-SC}. Unlike conventional single-st…
Deep Learning-Based CSI Feedback for Wi-Fi Systems With Temporal Correlation
Junyong Shin, Eunsung Jeon, Inhyoung Kim +1
To achieve higher throughput in next-generation Wi-Fi systems, a station (STA) needs to efficiently compress channel state information (CSI) and feed it back to an access point (AP…
ESC-MVQ: End-to-End Semantic Communication With Multi-Codebook Vector Quantization
Junyong Shin, Yongjeong Oh, Jinsung Park +2
This paper proposes a novel end-to-end digital semantic communication framework based on multi-codebook vector quantization (VQ), referred to as ESC-MVQ. Unlike prior approaches th…