7 papers
LLM-Assisted LDPC Decoding via Syndrome-Verified Semantic Priors
Sojeong Park, Hyeonsu Lyu, Jaehyun Choi +1
Semantic communication exploits the meaning of the payload, which bit-level processing discards. When channel decoding fails on a natural language payload, the errors appear as cor…
SceneBaker: Radio-Ready Scene Generation for Sionna Ray-Tracing
Hyeonsu Lyu, Minwoo Kim, Sojeong Park +1
Wireless digital-twin (DT) research needs ray-tracing (RT) scenes that can be generated, versioned, and checked reproducibly. Current visual-authoring workflows can produce plausib…
Temporal Channel Estimation for Generalized CSI Feedback
Minwoo Kim, Hyeonsu Lyu, Sehyun Ryu +2
Efficient Channel State Information (CSI) feedback is indispensable for frequency division duplex (FDD) massive multiple-input multiple-output (MIMO) systems. Existing compressed s…
Semantic-Aware Data-Aided Channel Estimation with Large Language Models for MIMO Systems
Sojeong Park, Jaehyun Choi, Hyun Jong Yang
Data-aided channel estimation enhances spectral efficiency by reusing detected symbols as virtual pilots. In this process, selecting only reliable symbols is crucial to prevent mis…
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…
User-Centric Stream Sensing for Grant-Free Access: Deep Learning with Covariance Differencing
Sojeong Park, Yeongjun Kim, Hyun Jong Yang
Grant-free (GF) access is essential for massive connectivity but faces collision risks due to uncoordinated transmissions. While user-side sensing can mitigate these collisions by…