2 papers
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…
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…