output
20132026
most citedAdaptive Beam Design for V2I Communications using Vehicle Tracking with Extended Kalman Filter

38 citations

20 papers

eess.SP2026

Semantic Pilot Design for Data-Aided Channel Estimation Using a Large Language Model

Sojeong Park, Hyun Jong Yang

This paper proposes a semantic pilot design for data-aided channel estimation in text-inclusive data transmission, using a large language model (LLM). In this scenario, channel imp…

cs.IT2026

Large Multimodal Model-Aided Scheduling for 6G Autonomous Communications

Sunwoo Kim, Byonghyo Shim

Recently, large language models (LLMs) have gained significant attention for their ability to generate fast and accurate answer to the given query. These models have evolved into l…

eess.SY2025

Standards-Compliant DM-RS Allocation via Temporal Channel Prediction for Massive MIMO Systems

Sehyun Ryu, Hyun Jong Yang

Reducing feedback overhead in beyond 5G networks is a critical challenge, as the growing number of antennas in modern massive MIMO systems substantially increases the channel state…

eess.SP2025★ 4 cited

Robust Transmission of Punctured Text with Large Language Model-based Recovery

Sojeong Park, Hyeonho Noh, Hyun Jong Yang

With the recent advancements in deep learning, semantic communication which transmits only task-oriented features, has rapidly emerged. However, since feature extraction relies on…

eess.AS2024★ 1 cited

Towards Maximum Likelihood Training for Transducer-based Streaming Speech Recognition

Hyeonseung Lee, Ji Won Yoon, Sungsoo Kim +1

Transducer neural networks have emerged as the mainstream approach for streaming automatic speech recognition (ASR), offering state-of-the-art performance in balancing accuracy and…

cs.NI2024★ 4 cited

VOMTC: Vision Objects for Millimeter and Terahertz Communications

Sunwoo Kim, Yongjun Ahn, Daeyoung Park +1

Recent advances in sensing and computer vision (CV) technologies have opened the door for the application of deep learning (DL)-based CV technologies in the realm of 6G wireless co…