Picture for Mingzhe Chen

Mingzhe Chen

RIS-Assisted Passive Localization (RAPL): An Efficient Zero-Overhead Framework Using Conditional Sample Mean

Add code
Mar 25, 2025
Viaarxiv icon

RIS-Assisted Localization: A Novel Conditional Sample Mean Approach without CSI

Add code
Mar 24, 2025
Viaarxiv icon

Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks

Add code
Feb 07, 2025
Viaarxiv icon

Generative AI Empowered Semantic Feature Multiple Access (SFMA) Over Wireless Networks

Add code
Dec 30, 2024
Viaarxiv icon

Joint Beamforming and Antenna Design for Near-Field Fluid Antenna System

Add code
Jul 08, 2024
Figure 1 for Joint Beamforming and Antenna Design for Near-Field Fluid Antenna System
Figure 2 for Joint Beamforming and Antenna Design for Near-Field Fluid Antenna System
Figure 3 for Joint Beamforming and Antenna Design for Near-Field Fluid Antenna System
Figure 4 for Joint Beamforming and Antenna Design for Near-Field Fluid Antenna System
Viaarxiv icon

Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks

Add code
Jun 29, 2024
Figure 1 for Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
Figure 2 for Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
Figure 3 for Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
Figure 4 for Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networks
Viaarxiv icon

Model-based Deep Learning for Rate Split Multiple Access in Vehicular Communications

Add code
May 02, 2024
Figure 1 for Model-based Deep Learning for Rate Split Multiple Access in Vehicular Communications
Figure 2 for Model-based Deep Learning for Rate Split Multiple Access in Vehicular Communications
Figure 3 for Model-based Deep Learning for Rate Split Multiple Access in Vehicular Communications
Figure 4 for Model-based Deep Learning for Rate Split Multiple Access in Vehicular Communications
Viaarxiv icon

Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning

Add code
Apr 22, 2024
Figure 1 for Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning
Figure 2 for Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning
Figure 3 for Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning
Figure 4 for Mapping Wireless Networks into Digital Reality through Joint Vertical and Horizontal Learning
Viaarxiv icon

Positioning Using Wireless Networks: Applications, Recent Progress and Future Challenges

Add code
Mar 18, 2024
Figure 1 for Positioning Using Wireless Networks: Applications, Recent Progress and Future Challenges
Figure 2 for Positioning Using Wireless Networks: Applications, Recent Progress and Future Challenges
Figure 3 for Positioning Using Wireless Networks: Applications, Recent Progress and Future Challenges
Figure 4 for Positioning Using Wireless Networks: Applications, Recent Progress and Future Challenges
Viaarxiv icon

Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach

Add code
Mar 17, 2024
Figure 1 for Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach
Figure 2 for Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach
Figure 3 for Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach
Figure 4 for Jointly Optimizing Terahertz based Sensing and Communications in Vehicular Networks: A Dynamic Graph Neural Network Approach
Viaarxiv icon