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20242026
most citedMeasurement-Based Non-Stationary Markov Tapped Delay Line Channel Model for 5G-Railways

7 citations · 18 across the 18 of their papers we have counts for

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Showing 2025Show all

8 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

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

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…