109 citations · 134 across the 30 of their papers we have counts for
32 papers
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…
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…
Delay-Doppler Domain Channel Measurements and Modeling in High-Speed Railways
Hao Zhou, Yiyan Ma, Dan Fei +10
As next-generation wireless communication systems need to be able to operate in high-frequency bands and high-mobility scenarios, delay-Doppler (DD) domain multicarrier (DDMC) modu…
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…
Delay-Doppler Domain Signal Processing Aided OFDM (DD-a-OFDM) for 6G and Beyond
Yiyan Ma, Bo Ai, Jinhong Yuan +10
High-mobility scenarios will be a critical part of 6G systems. Since the widely deployed orthogonal frequency division multiplexing (OFDM) waveform suffers from subcarrier orthogon…
Sensing-Enhanced Handover Criterion for Low-Altitude Wireless Network (LAWNs)
Jingli Li, Yiyan Ma, Bo Ai +7
With the rapid growth of the low-altitude economy, the demand for cellular-enabled low-altitude wireless networks (LAWN) is rising significantly. The three-dimensional mobility of…
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…
Cluster-Based Time-Variant Channel Characterization and Modeling for 5G-Railways
Xuejian Zhang, Ruisi He, Bo Ai +6
With the development of high-speed railways, 5G for Railways (5G-R) is gradually replacing Global System for the Mobile Communications for Railway (GSM-R) worldwide to meet increas…
Channel Spreading Function-Inspired Channel Transfer Function Estimation for OFDM Systems with High-Mobility
Yiyan Ma, Bo Ai, Guoyu Ma +7
In this letter, we propose a novel channel transfer function (CTF) estimation approach for orthogonal frequency division multiplexing (OFDM) systems in high-mobility scenarios, tha…
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…
AI-Empowered RIS-Assisted Networks: CV-Enabled RIS Selection and DNN-Enabled Transmission
Conggang Hu, Yang Lu, Hongyang Du +3
This paper investigates artificial intelligence (AI) empowered schemes for reconfigurable intelligent surface (RIS) assisted networks from the perspective of fast implementation. W…
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…