108 citations · 158 across the 43 of their papers we have counts for
44 papers
KV-COBRA: KV Cache Compression via Co-Optimized Bit-Rank Allocation
Sihyeon Ha, Jaeho Lee, Yo-Seb Jeon
What limits KV-cache compression at extreme bit-rates? We argue that it is not the choice of compression scheme, but how its budget is allocated across attention heads. Existing me…
Token-Oriented Semantic Communication with Pretrained Vision Transformers
Jiwoong Im, Minwoo Kim, Jaeho Lee +2
Token communications realize the semantic communication principle at the granularity of transformer tokens, providing a promising direction for client--server collaborative inferen…
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…
Cooperative Multi-Satellite ISAC Networks: Centralized vs. Distributed Sensing
Jeongbin Kim, Jaehong Jo, Seunghyeon Jeon +3
This paper investigates a downlink multi-satellite integrated sensing and communication (ISAC) network, in which multiple satellites simultaneously transmit ISAC signals to provide…
Semantic Feature Channel Optimization: A Unified Framework for Analog and Digital Semantic Communications
Yongjeong Oh, Jihong Park, Jinho Choi +1
Semantic communication (SC) aims to improve communication efficiency by transmitting only task-relevant information, termed semantic features (SFs). Most existing SC frameworks ach…
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…
Anti-Jamming Modulation for OFDM Systems under Jamming Attacks
Jaewon Yun, Joohyuk Park, Yo-Seb Jeon
Orthogonal frequency division multiplexing (OFDM) systems are inherently vulnerable to jamming attacks due to the independent transmission of data symbols across subcarriers. In th…
Online Data Generation for MIMO-OFDM Channel Denoising: Transfer Learning vs. Meta Learning
Sungyoung Ha, Ikbeom Lee, Seunghyeon Jeon +1
Channel denoising is a practical and effective technique for mitigating channel estimation errors in multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO…
Importance-Aware Semantic Communication in MIMO-OFDM Systems Using Vision Transformer
Joohyuk Park, Yongjeong Oh, Jihun Park +1
This paper presents a novel importance-aware quantization, subcarrier mapping, and power allocation (IA-QSMPA) framework for semantic communication in multiple-input multiple-outpu…
Beam-Hopping Pattern Design for Grant-Free Random Access in LEO Satellite Communications
Seunghyeon Jeon, Seonjung Kim, Gyeongrae Im +1
Increasing demand for massive device connectivity in underserved regions drives the development of advanced low Earth orbit (LEO) satellite communication systems. Beam-hopping LEO…
Unequal Error Protection for Digital Semantic Communication with Channel Coding
Seonjung Kim, Yongjeong Oh, Yongjune Kim +2
This paper investigates unequal error protection (UEP) in digital semantic communication, where semantically important bits require substantially higher reliability than less criti…
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…
Robust Deep Joint Source Channel Coding for Task-Oriented Semantic Communications
Taewoo Park, Eunhye Hong, Yo-Seb Jeon +2
Semantic communications based on deep joint source-channel coding (JSCC) aim to improve communication efficiency by transmitting only task-relevant information. However, ensuring r…
Blind Training for Channel-Adaptive Digital Semantic Communications
Yongjeong Oh, Joohyuk Park, Jinho Choi +2
Semantic encoders and decoders for digital semantic communication (SC) often struggle to adapt to variations in unpredictable channel environments and diverse system designs. To ad…
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…
Vision Transformer-based Semantic Communications With Importance-Aware Quantization
Joohyuk Park, Yongjeong Oh, Yongjune Kim +1
Semantic communications provide significant performance gains over traditional communications by transmitting task-relevant semantic features through wireless channels. However, mo…
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…
Deep Learning-Assisted Parallel Interference Cancellation for Grant-Free NOMA in Machine-Type Communication
Yongjeong Oh, Jaehong Jo, Byonghyo Shim +1
In this paper, we present a novel approach for joint activity detection (AD), channel estimation (CE), and data detection (DD) in uplink grant-free non-orthogonal multiple access (…
Prior-Aware Robust Beam Alignment for Low-SNR Millimeter-Wave Communications
Jihun Park, Yongjeong Oh, Jaewon Yun +2
This paper presents a robust beam alignment technique for millimeter-wave communications in low signal-to-noise ratio (SNR) environments. The core strategy of our technique is to r…