5 papers
Agentic UE-CoMIMO for 6G Terminals: From Virtual Antenna Augmentation to AI-Native Virtualization
Chao-Kai Wen, Yen-Cheng Chan, Lung-Sheng Tsai +2
End-user-centric collaborative MIMO (UE-CoMIMO) lets nearby devices form a virtual multi-antenna terminal to overcome the antenna limitations of individual user equipment. Extendin…
Structure-Aware Multimodal LLM Framework for Trustworthy Near-Field Beam Prediction
Mengyuan Li, Qianfan Lu, Jiachen Tian +5
In near-field extremely large-scale multiple-input multiple-output (XL-MIMO) systems, spherical wavefront propagation expands the traditional beam codebook into the joint angular-d…
AI-based CSI Feedback with Digital Twins: Real-World Validation and Insights
Tzu-Hao Huang, Chao-Kai Wen, Shang-Ho Tsai +1
Deep learning (DL) has shown great potential for enhancing channel state information (CSI) feedback in multiple-input multiple-output (MIMO) communication systems, a subject curren…
Geo2ComMap: Deep Learning-Based MIMO Throughput Prediction Using Geographic Data
Fan-Hao Lin, Tzu-Hao Huang, Chao-Kai Wen +1
Accurate communication performance prediction is crucial for wireless applications such as network deployment and resource management. Unlike conventional systems with a single tra…
End-User-Centric Collaborative MIMO: Performance Analysis and Proof of Concept
Chao-Kai Wen, Yen-Cheng Chan, Tzu-Hao Huang +4
The trend toward using increasingly large arrays of antenna elements continues. However, fitting more antennas into the limited space available on user equipment (UE) within the cu…