4 papers
Learning to Optimize Joint Source and RIS-assisted Channel Encoding for Multi-User Semantic Communication Systems
Haidong Wang, Songhan Zhao, Bo Gu +3
In this paper, we explore a joint source and reconfigurable intelligent surface (RIS)-assisted channel encoding (JSRE) framework for multi-user semantic communications, where a dee…
Generative Artificial Intelligence Assisted Multi-modal Semantic Extraction for NOMA-based Image Transmissions
Songhan Zhao, Shimin Gong, Bo Gu +4
In this paper, we investigate a generative artificial intelligence (GAI)-assisted semantic communication framework for non-orthogonal multiple access (NOMA)-based image transmissio…
Spectral Efficiency-Aware Codebook Design for Task-Oriented Semantic Communications
Anbang Zhang, Shuaishuai Guo, Chenyuan Feng +3
Digital task-oriented semantic communication (ToSC) aims to transmit only task-relevant information, significantly reducing communication overhead. Existing ToSC methods typically…
Less Signals, More Understanding: Channel-Capacity Codebook Design for Digital Task-Oriented Semantic Communication
Anbang Zhang, Shuaishuai Guo, Chenyuan Feng +4
Discrete representation has emerged as a powerful tool in task-oriented semantic communication (ToSC), offering compact, interpretable, and efficient representations well-suited fo…