5 papers
Rethinking the Foundations of Two-Sided AI Models for 6G
Yongjeong Oh, Zihan Chen, Timothy J. O'Shea +4
For next-generation air interfaces, two-sided artificial intelligence (AI) models have received growing attention, with AI models deployed at both the transmitter and receiver for…
Geometric Cross-Modal Token Selection for Latency-Constrained Multimodal Token Communication
Joohyuk Park, Junyong Shin, Yongjeong Oh +2
This paper proposes a geometry-based joint cross-modal token selection framework for latency-constrained multimodal token communications. To capture cross-modal token dependencies,…
Cache-enabled Generative Joint Source-Channel Coding for Evolving Semantic Communications
Shunpu Tang, Qianqian Yang, Jihong Park +3
Learning-based semantic communication (SemCom) has recently emerged as a promising paradigm for improving the transmission efficiency of wireless networks. However, existing method…
Rethinking Secure Semantic Communications in the Age of Generative and Agentic AI: Threats and Opportunities
Shunpu Tang, Yuanyuan Jia, Zijiu Yang +6
Semantic communication (SemCom) improves communication efficiency by transmitting task-relevant information instead of raw bits and is expected to be a key technology for 6G networ…
Enabling Training-Free Semantic Communication Systems with Generative Diffusion Models
Shunpu Tang, Yuanyuan Jia, Qianqian Yang +3
Semantic communication (SemCom) has recently emerged as a promising paradigm for next-generation wireless systems. Empowered by advanced artificial intelligence (AI) technologies,…