7 citations · 18 across the 18 of their papers we have counts for
19 papers
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…
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…
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 Geometry Map-Based Site-Specific Propagation Channel Model for Urban Scenarios
Junzhe Song, Ruisi He, Mi Yang +4
With the rapid deployments of 5G and 6G networks, accurate modeling of urban radio propagation has become critical for system design and network planning. However, conventional sta…
A Novel Site-Specific Inference Model for Urban Canyon Channels: From Measurements to Modeling
Junzhe Song, Ruisi He, Mi Yang +4
With the rapid development of intelligent transportation and smart city applications, urban canyon has become a critical scenario for the design and evaluation of wireless communic…
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…
Channel Semantic Characterization for Integrated Sensing and Communication Scenarios: From Measurements to Modeling
Zhengyu Zhang, Ruisi He, Bo Ai +4
With the advancement of sixth-generation (6G) wireless communication systems, integrated sensing and communication (ISAC) is crucial for perceiving and interacting with the environ…
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…
Vision Aided Channel Prediction for Vehicular Communications: A Case Study of Received Power Prediction Using RGB Images
Xuejian Zhang, Ruisi He, Mi Yang +3
The communication scenarios and channel characteristics of 6G will be more complex and difficult to characterize. Conventional methods for channel prediction face challenges in ach…
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…
Joint Precoding for RIS-Assisted Wideband THz Cell-Free Massive MIMO Systems
Xin Su, Ruisi He, Peng Zhang +1
Terahertz (THz) cell-free massive multiple-input-multiple-output (mMIMO) networks have been envisioned as a prospective technology for achieving higher system capacity, improved pe…
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…
Channel Measurements and Modeling for Dynamic Vehicular ISAC Scenarios at 28 GHz
Zhengyu Zhang, Ruisi He, Bo Ai +4
Integrated sensing and communication (ISAC) is a promising technology for 6G, with the goal of providing end-to-end information processing and inherent perception capabilities for…
Characterization of Wireless Channel Semantics: A New Paradigm
Zhengyu Zhang, Ruisi He, Mi Yang +4
Recently, deep learning enabled semantic communications have been developed to understand transmission content from semantic level, which realize effective and accurate information…
Non-stationarity Characteristics in Dynamic Vehicular ISAC Channels at 28 GHz
Zhengyu Zhang, Ruisi He, Mi Yang +6
Integrated sensing and communications (ISAC) is a potential technology of 6G, aiming to enable end-to-end information processing ability and native perception capability for future…
A Cluster-Based Statistical Channel Model for Integrated Sensing and Communication Channels
Zhengyu Zhang, Ruisi He, Bo Ai +6
The emerging 6G network envisions integrated sensing and communication (ISAC) as a promising solution to meet growing demand for native perception ability. To optimize and evaluate…