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

1 citations · 1 across the 7 of their papers we have counts for

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eess.SP20261 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.SP2026

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.SP2026

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.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

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.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…