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20242026
most citedDelay-Doppler Domain Channel Measurements and Modeling in High-Speed Railways

1 citations · 1 across the 13 of their papers we have counts for

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cs.IT2025

Sensing-Enhanced Handover Criterion for Low-Altitude Wireless Network (LAWNs)

Jingli Li, Yiyan Ma, Bo Ai +7

With the rapid growth of the low-altitude economy, the demand for cellular-enabled low-altitude wireless networks (LAWN) is rising significantly. The three-dimensional mobility of…

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

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

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

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…