14 papers
Energy-Efficient RF Chain Activation for Uplink mmWave Cell-Free Massive MIMO Systems: A Minimum-Cost Maximum-Flow Approach
Bo Yu, Abdol Hamid Aghvami, Mohammad Shikh-Bahaei
With the incessant demand for green and sustainable communications, energy efficiency (EE) has become a cornerstone of sixth-generation (6G) network design, especially for cell-fre…
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…
Alternating Optimization for Joint Resource Allocation in Full-Duplex Multi-Sector Fluid Antenna-Enabled Near-Field Systems
Jingxuan Zhou, Yinchao Yang, Zhaohui Yang +2
This paper proposes a full duplex fluid antenna near field system (FD-FANS) with a multi-sector antenna array that jointly exploits resource allocation, antenna mobility, and group…
CRB-Guided Framework Design and Resource Allocation for Indoor mmWave ISCC Systems
Zhonghao Liu, Yahao Ding, Yinchao Yang +1
Integrated sensing, communication, and computation (ISCC) provides a promising framework for indoor human-centric applications. In these applications, short-term human pose predict…
Gesture-Aware Indoor THz ISAC Systems for Adaptive Resource Allocation
Zhonghao Liu, Yinchao Yang, Yahao Ding +2
This paper investigates a multi-user indoor integrated sensing and communication (ISAC) system operating in the terahertz (THz) band, designed for adaptive communication based on g…
Remote Teleoperation of Endovascular Intervention Robots: A Systematic Review
Xingyu Chen, Yinchao Yang, Nikola Fischer +5
Remote robotic-assisted endovascular intervention offers a promising approach to reduce clinician radiation exposure and physical strain, while extending specialized vascular care…
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…
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…
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…
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…
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…