6 papers
Secure Coverage Enhancement in Aerial Reconfigurable Intelligent Surface-Assisted High-Speed Train Communication Systems
Changzhu Liu, Ruisi He, Bo Ai +6
High-speed trains (HSTs) have become a prominent means of transportation, requiring high data rates and reliable communication services for HST passengers. However, the wireless ch…
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…
Robust Transmission Design for RIS-Assisted High-Speed Train Communication Coverage Enhancement With Imperfect Cascaded Channels
Changzhu Liu, Ruisi He, Haoxiang Zhang +4
Reconfigurable intelligent surface (RIS) has recently been gained attention as an effective technique improving the coverage and performance of communication systems by creating ad…
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…
Deep Learning Based Dynamic Environment Reconstruction for Vehicular ISAC Scenarios
Junzhe Song, Ruisi He, Mi Yang +5
Integrated Sensing and Communication (ISAC) technology plays a critical role in future intelligent transportation systems, by enabling vehicles to perceive and reconstruct the surr…
A CGAN-LSTM-Based Framework for Time-Varying Non-Stationary Channel Modeling
Keying Guo, Ruisi He, Mi Yang +5
Time-varying non-stationary channels, with complex dynamic variations and temporal evolution characteristics, have significant challenges in channel modeling and communication syst…