collaborators

8 papers

eess.SP2026

Adaptive Source-Channel Coding for Bi-static Integrated Sensing and Semantic Communications

Haotian Wang, Dan Wang, Xiaodong Xu +4

Semantic communication (SemCom) has emerged as a new paradigm to facilitate the performance of integrated sensing and communication systems in 6G, due to its potential to enhance t…

cs.IT2026

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…

cs.IT2026

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…

cs.IT2026

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…

cs.IT2026

Zero-Shot Knowledge Base Resizing for Rate-Adaptive Digital Semantic Communication

Shumin Yao, Hui Du, Lifeng Xie +4

Digital semantic communication systems, which often leverage the Vector Quantized Variational Autoencoder (VQ-VAE) framework, are pivotal for future wireless networks. In a VQ-VAE-…

eess.SP2026

Integrated Sensing and Semantic Communication with Adaptive Source-Channel Coding

Haotian Wang, Dan Wang, Xiaodong Xu +3

Semantic communication has emerged as a new paradigm to facilitate the performance of integrated sensing and communication systems in 6G. However, most of the existing works mainly…