9 papers
LLM-Empowered Multimodal Fusion Framework for Autonomous Driving: Semantic Enhancement and Channel-Adaptive Design
Wen Wang, Yaping Sun, Yejun He +5
Vision-radar fusion is central to robust autonomous driving, combining dense visual semantics with precise range and velocity measurements from radar. However, real-world fusion qu…
SA-RA-JSCC: SNR-Adaptive and Semantic-Rate-Aware Joint Source-Channel Coding
Shitong Zhang, Yaping Sun, Hao Chen +4
In joint source-channel coding (JSCC)-based semantic communication systems, achieving stable and reliable image semantic transmission under channel constraints remains a key challe…
STCC: A Unified Source-Channel Semantic Token Coding Framework for Semantic Communications
Zhicheng Bao, Chen Dong, Sen Wang +6
Deep Joint Source-Channel Coding (JSCC) has emerged as a promising paradigm for overcoming the ``cliff effect" in wireless communications. However, existing Deep JSCC frameworks op…
Operator structure of power corrections and anomalous scaling in energy correlators
Hao Chen, Yibei Li
Energy correlators offer a clean probe of quantum chromodynamics, serving as an ideal laboratory to rigorously investigate non-perturbative power corrections. The recent discovery…
Generative Channel Knowledge Base With Environmental Information for Joint Source-Channel Coding in Semantic Communications
Xudong Long, Hao Chen, Dan Wang +4
Semantic knowledge bases are regarded as a promising technology for upcoming 6G communications. However, existing studies mainly focus on source-side semantic modeling while overlo…
Unlocking High-Fidelity Analog Joint Source-Channel Coding on Standard Digital Transceivers
Shumin Yao, Hao Chen, Yaping Sun +4
Analog joint source-channel coding (JSCC) has demonstrated superior performance for semantic communications through graceful degradation across channel conditions. However, a funda…