In 6G networks, existing semantic communication systems struggle to achieve composable and generalizable end-to-end optimization under dynamic channel conditions and heterogeneous resource constraints. To address this challenge, we propose Agentic Token Communication (TokenCom), a hierarchical Chain-of-Agents autonomou...
Fei-Bo Jiang, Lei Mao, Li Dong et al.· IEEE Transactions on Cogniti...· 0 citations
The internet of vehicles (IoV) is rapidly evolving into an artificial intelligence (AI)-driven, multi-agent collaborative ecosystem, yet traditional communication paradigms struggle to address the challenges posed by dynamic network topologies, stringent resource constraints, and heterogeneous service demands. To bridg...
Qiong Wu, Wen-Jun Zhang, Ping-Yi Fan et al.· IEEE Communications Surveys...· 5 citations
In this paper, we propose a double-cooperative reconfigurable intelligent surfaces (RIS)-aided secure and covert framework in symbiotic radio (SR) systems in the presence of an eavesdropper and a warden. In particular, one RIS is deployed to establish the primary communication link, while another backscatter device (BD...
Alemayehu Kebede Abebe, Yi Zhou, Zheng Ma et al.· 2026 IEEE/CIC International...· 0 citations
The Air-FedSNN framework, which integrates slimmable neural networks (SNNs) with over-the-air computation (AirComp) to improve communication, computation, and energy efficiency in heterogeneous IoT networks, and provides an efficient solution for resource-constrained environments.
Yue Zhang, Guopeng Zhang, Ke-Zhi Wang et al.· IEEE Journal on Selected Are...· 0 citations
This work uses the large language model (LLM)-enhanced non-dominated sorting genetic algorithm II (NSGA-II) to directly solve the bi-objective optimization problem, assisted by an LLM to enhance its concentrated exploration capability by extending the exploration in language space.
Si-Chong Liao, Jin-Bo Hou, Yi Zhao et al.· Science China Information Sc...· 1 citation
A general three-step auditing principle is set out that locates protocol-relevant features, verifies their causal role, and diagnoses how adaptation reshapes their use, grounding it throughout publicly available interpretability and telecommunications research.
