collaborators

13 papers

cs.IT2026

Joint Movement and Compression Ratio Design for Mobile Embodied AI Networks (MEAN)

Yahao Ding, Jiaxiang Wang, Zhouxiang Zhao +3

Mobile embodied AI networks (MEAN) enable embodied agents to perceive, reason, communicate, and act in wireless environments. In such networks, agent mobility can improve channel c…

cs.IT2026

CRB-Guided Sensing and Resource Allocation for Human Pose Prediction in Integrated Sensing, Communication, and Computation Systems

Zhonghao Liu, Yahao Ding, Jiaxiang Wang +3

Integrated sensing, communication, and computation (ISCC) provides a promising framework for indoor human-centric applications. In these applications, short-term human pose predict…

eess.SP2026

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…

eess.SP2026

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…

cs.IT2026

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…

eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

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…

cs.IT2026

Near-Field Integrated Sensing, Computing and Semantic Communication in Digital Twin-Assisted Vehicular Networks

Yinchao Yang, Yahao Ding, Jiaxiang Wang +5

Digital twin (DT) technology offers transformative potential for vehicular networks, enabling high-fidelity virtual representations for enhanced safety and automation. However, sea…

cs.NI2026

Agentic AI-Empowered Wireless Agent Networks With Semantic-Aware Collaboration via ILAC

Zhouxiang Zhao, Jiaxiang Wang, Zhaohui Yang +4

The rapid development of agentic artificial intelligence (AI) is driving future wireless networks to evolve from passive data pipes into intelligent collaborative ecosystems under…

cs.DC2026

Energy Efficient Federated Learning with Hyperdimensional Computing (HDC)

Yahao Ding, Yinchao Yang, Jiaxiang Wang +4

This paper investigates the problem of minimizing total energy consumption for secure federated learning (FL) in wireless edge networks, a key paradigm for decentralized big data a…

cs.DC2026

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…

eess.SP2024

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…