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20242026
most citedVision Aided Channel Prediction for Vehicular Communications: A Case Study of Received Power Prediction Using RGB Images

7 citations · 21 across the 22 of their papers we have counts for

collaborators

14 papers

eess.IV2026

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…

eess.SP2026

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…

cs.NI2026

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…

eess.SP2026

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…

eess.SP2025

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…

eess.SP2025

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…