5 papers · 1 filter
Hybrid Ray-Tracing and Physics-Embedded Neural Modeling for High-Fidelity Channel Reconstruction in Wireless Digital Twins
Huiwen Zhang, Chu Ma, Feng Ye
Many existing wireless digital twins (DTs) rely heavily on ray-tracing (RT)-based channel simulators to achieve scalability in large-scale environments. However, the geometric-opti…
TG-DIN: Theory-Guided Demand Inference Network for Generalizable QoS Prediction
Fuliang Yang, Feng Ye
Network measurements reveal the service a flow receives, not the load it offers to the network. Predictors trained directly on observed traffic therefore become tied to the operati…
Fine-Grained Network Traffic Classification with Contextual QoS Profiling
Huiwen Zhang, Feng Ye
Accurate network traffic classification is vital for managing modern applications with strict Quality of Service (QoS) demands, such as edge computing, real-time XR, and autonomous…
LLM-supported 3D Modeling Tool for Radio Radiance Field Reconstruction
Chengling Xu, Huiwen Zhang, Haijian Sun +1
Accurate channel estimation is essential for massive multiple-input multiple-output (MIMO) technologies in next-generation wireless communications. Recently, the radio radiance fie…
Model-based Deep Learning for QoS-Aware Rate-Splitting Multiple Access Wireless Systems
Hanwen Zhang, Mingzhe Chen, Alireza Vahid +2
Next generation communications demand for better spectrum management, lower latency, and guaranteed quality-of-service (QoS). Recently, Artificial intelligence (AI) has been widely…