7 citations · 21 across the 22 of their papers we have counts for
22 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…
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…
Stress field modification near linear complexions increases the effective obstacle size and strengthening effect
Zhengyu Zhang, Daniel S. Gianola, Timothy J. Rupert
Linear complexions are stable defect states that form along dislocations and recent experiments have demonstrated strengthening effects exceeding classical precipitation hardening…
Communication Technologies for Intelligent Transportation Systems: From Railways to UAVs and Beyond
Shrief Rizkalla, Adrian Kliks, Nila Bagheri +25
This white paper aims to comprehensively analyze and consolidate the state of the art in communication technologies supporting modern and future Information and Communication Techn…
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…
Integrated Sensing, Communication, Computing, and Control Meets UAV Swarms in 6G
Yiyan Ma, Bo Ai, Jingli Li +6
To develop the low-altitude economy, the establishment of the low-altitude wireless network (LAWN) is the first priority. As the number of unmanned aerial vehicles (UAVs) increases…
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…
Deep Learning-based Human Gesture Channel Modeling for Integrated Sensing and Communication Scenarios
Zhengyu Zhang, Neeraj Varshney, Jelena Senic +6
With the development of Integrated Sensing and Communication (ISAC) for Sixth-Generation (6G) wireless systems, contactless human recognition has emerged as one of the key applicat…
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 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…