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

collaborators
Showing 2025Show all

13 papers · 1 filter

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…

eess.SP2025

Affine Frequency Division Multiplexing for Communication and Channel Sounding: Requirements, Challenges, and Key Technologies

Yu Zhou, Chao Zou, Nanhao Zhou +8

Channel models are crucial for theoretical analysis, performance evaluation, and deployment of wireless communication systems. Traditional channel sounding systems are insufficient…

eess.SP2025★ 1 cited

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…

eess.SP2025

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…

eess.SP2025

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…

eess.SP2025

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…

eess.SP2025

Conformal Robust Beamforming via Generative Channel Models

Xin Su, Qiushuo Hou, Ruisi He +1

Traditional approaches to outage-constrained beamforming optimization rely on statistical assumptions about channel distributions and estimation errors. However, the resulting outa…

eess.SY2025

6G-Enabled Smart Railways

Bo Ai, Yunlong Lu, Yuguang Fang +7

Smart railways integrate advanced information technologies into railway operating systems to improve efficiency and reliability. Although the development of 5G has enhanced railway…

eess.SP2025

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…

eess.SP2025

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…

cs.IT2025★ 7 cited

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…

cs.IT2025★ 3 cited

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…

cs.CV2025★ 7 cited

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…