6 papers · 1 filter
Energy Efficiency Maximization for FAS-Assisted Downlink Communication in Mobile Embodied AI Networks (MEAN) over Interference Channels
Ruopeng Xu, Zhaohui Yang, Jiaxiang Wang +2
In this paper, we investigate a fluid antenna system (FAS)-assisted downlink mobile embodied AI network (MEAN) over interference channels, where multiple base station (BS)-agent pa…
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…
Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks
Jiaxiang Wang, Yinchao Yang, Zhaohui Yang +4
This paper investigates a novel generative artificial intelligence (GAI) empowered multi-user semantic communication system called semantic feature multiple access (SFMA) for video…