1 citations · 1 across the 9 of their papers we have counts for
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Two-Phase Channel Estimation for RIS-Assisted THz Systems with Beam Split
Xin Su, Ruisi He, Peng Zhang +3
Reconfigurable intelligent surface (RIS)-assisted terahertz (THz) communication is emerging as a key technology to support ultra-high data rates in future sixth-generation networks…
Measurement-Based Non-Stationary Markov Tapped Delay Line Channel Model for 5G-Railways
Xuejian Zhang, Ruisi He, Mi Yang +7
5G for Railways (5G-R) is globally recognized as a promising next-generation railway communication system designed to meet increasing demands. Channel modeling serves as foundation…
Vision-Aided Channel Prediction Based on Image Segmentation at Street Intersection Scenarios
Xuejian Zhang, Ruisi He, Mi Yang +4
Intelligent vehicular communication with vehicle road collaboration capability is a key technology enabled by 6G, and the integration of various visual sensors on vehicles and infr…
COST CA20120 INTERACT Framework of Artificial Intelligence Based Channel Modeling
Ruisi He, Nicola D. Cicco, Bo Ai +3
Accurate channel models are the prerequisite for communication-theoretic investigations as well as system design. Channel modeling generally relies on statistical and deterministic…
Transmission Scheduling of Millimeter Wave Communication for High-Speed Railway in Space-Air-Ground Integrated Network
Lei Liu, Bo Ai, Yong Niu +4
The space-air-ground integrated network (SAGIN) greatly improves coverage and reliability for millimeter-wave (mmWave) communication in high-speed railway (HSR) scenarios. However,…
Refracting Reconfigurable Intelligent Surface Assisted URLLC for Millimeter Wave High-Speed Train Communication Coverage Enhancement
Changzhu Liu, Ruisi He, Yong Niu +3
High-speed train (HST) has garnered significant attention from both academia and industry due to the rapid development of railways worldwide. Millimeter wave (mmWave) communication…