109 citations · 134 across the 30 of their papers we have counts for
8 papers · 1 filter
PointNeRT: A Physics Aware Neural Ray Tracing Surrogate for Propagation Channel Modeling
Zhuoyin Li, Ruisi He, Mi Yang +5
Ray tracing (RT) has emerged as a key tool for propagation channel modeling and network planning. Conventional RT is based on electromagnetic (EM) wave theory and its application r…
Deep Learning-Based Site-Specific Channel Modeling and Inference
Junzhe Song, Ruisi He, Mi Yang +4
Site-specific channel inference plays a critical role in the design and evaluation of next-generation wireless communication systems by considering the surrounding propagation envi…
Environment-Aware Channel Prediction for Vehicular Communications: A Multimodal Visual Feature Fusion Framework
Xuejian Zhang, Ruisi He, Minseok Kim +3
The deep integration of communication with intelligence and sensing, as a defining vision of 6G, renders environment-aware channel prediction a key enabling technology. As a repres…
Channel Measurements and Modeling based on Composite Environmental Factor for Urban Street-Canyon Intersections
Xinwen Chen, Ruisi He, Mi Yang +4
In urban environments, vehicle-to-everything (V2X) communications require accurate wireless channel characterization. This requirement is particularly critical at street-canyon int…
Closed-Loop Integrated Sensing, Communication, and Control for Efficient Drone Flight
Jingli Li, Yiyan Ma, Bo Ai +10
Low-altitude wireless networks (LAWN) require drones to follow specific trajectories controlled by ground base stations (GBSs). However, given complex low-altitude channel conditio…
A Hybrid Model-Assisted Approach for Path Loss Prediction in Suburban Scenarios
Chenlong Wang, Bo Ai, Ruiming Chen +5
Accurate path loss prediction is crucial for wireless network planning and optimization in suburban environments with complex terrain variation and diverse land cover. This paper p…
Artificial Intelligence Empowered Channel Prediction: A New Paradigm for Propagation Channel Modeling
Ruisi He, Mi Yang, Zhengyu Zhang +2
This paper proposes a novel paradigm centered on Artificial Intelligence (AI)-empowered propagation channel prediction to address the limitations of traditional channel modeling. W…
A Multi-Modal Channel Sounding System for Environment-Aware Channel Measurements in 6G Dynamic Scenarios
Xuejian Zhang, Ruisi He, Mi Yang +2
The deep integration of communication and sensing is widely recognized as a core 6G vision, underscoring the importance of comprehensive environment awareness. Accurate channel mod…