activity
20162026
most citedArtificial intelligence enabled radio propagation for communications-Part I: Channel characterization and antenna-channel optimization

109 citations · 341 across the 44 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

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…

eess.SP2026

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…

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…