10 papers
Digital Twin Synchronization Over Mobile Embodied AI Network With Agentic Intelligence
Zhouxiang Zhao, Jiaxiang Wang, Yahao Ding +6
Efficient digital twin (DT) synchronization relies on maintaining high-fidelity virtual representations with minimal age of information (AoI). However, the synergistic potential of…
Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks
Yahao Ding, Yinchao Yang, Jiaxiang Wang +3
In this paper, we investigate a problem of minimizing total energy consumption for secure federated learning (FL) over wireless edge networks. To address the high computational cos…
Joint Communication and Computation Design for Mobile Embodied AI Network (MEAN)
Chenliang Wu, Zhouxiang Zhao, Jiaxiang Wang +4
This letter investigates the problem of energy efficient collaborative strategy for mobile embodied artificial intelligence network (MEAN) over wireless communication. In the consi…
TOIB: Task-Oriented Orthogonalised Information Bottleneck for Distributed Semantic Communication
Jiaxiang Wang, Zhaohui Yang, Yahao Ding +2
Task-oriented semantic communication emerges as a crucial paradigm for next-generation wireless networks, aiming to efficiently transmit task-relevant information while reducing in…
Joint Device Pairing and Bandwidth Allocation Optimisation for Semantic Feature Multiple Access Networks
Jiaxiang Wang, Zhaohui Yang, Mingzhe Chen +1
This paper presents a Semantic Feature Multiple Access (SFMA) framework for multi-user semantic communication in downlink wireless systems. By extending SwinJSCC to a two-user supe…
Semantic Feature Multiple Access Empowered Integrated Learning and Communication Networks
Jiaxiang Wang, Zhouxiang Zhao, Yahao Ding +4
Integrated learning and communication (ILAC) unifies learned transceivers with radio resource management, where semantic feature multiple access (SFMA) enables paired users to supe…