10 papers
Rethinking the Foundations of Two-Sided AI Models for 6G
Yongjeong Oh, Zihan Chen, Timothy J. O'Shea +4
For next-generation air interfaces, two-sided artificial intelligence (AI) models have received growing attention, with AI models deployed at both the transmitter and receiver for…
Geometric Cross-Modal Token Selection for Latency-Constrained Multimodal Token Communication
Joohyuk Park, Junyong Shin, Yongjeong Oh +2
This paper proposes a geometry-based joint cross-modal token selection framework for latency-constrained multimodal token communications. To capture cross-modal token dependencies,…
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…
MIMO Detection under Hardware Impairments: Data Augmentation With Boosting
Yujin Kang, Seunghyun Jeon, Junyong Shin +2
This paper addresses a data detection problem for multiple-input multiple-output (MIMO) communication systems with hardware impairments. To facilitate maximum likelihood (ML) data…
Vector Quantization for Deep-Learning-Based CSI Feedback in Massive MIMO Systems
Junyong Shin, Yujin Kang, Yo-Seb Jeon
This paper presents a finite-rate deep-learning (DL)-based channel state information (CSI) feedback method for massive multiple-input multiple-output (MIMO) systems. The presented…