4 papers · 1 filter
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…
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…
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…
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…