🤖 AI Summary
Large-scale channel modeling for the 7–15 GHz cmWave (FR3) band remains inadequate in urban (macro/microcell) and suburban scenarios, limiting accurate network planning and system simulation. Method: This study employs measurement-driven statistical modeling to systematically extract and analyze path loss, large-scale fading, and angular-domain statistics (AOA, AOD, DS). Contribution/Results: It reveals distinct propagation mechanisms: high obstacle density in urban areas causes strong path loss and large delay spread, whereas suburban environments—though sparsely obstructed—exhibit significant channel fluctuations due to large-volume scatterers. An enhanced scenario-aware channel prediction model is proposed, substantially improving accuracy in path loss and delay spread estimation. The resulting unified urban/suburban channel characterization model provides reusable, empirically grounded parameters critical for FR3 network planning, link adaptation, and end-to-end system simulation.
📝 Abstract
This study delves into the comprehensive characterization of large-scale channels at centimeter wave frequencies 7-15 GHz for urban macro/micro and suburban environments. Path-loss, large-scale fading, and angular channel statistics are presented. Urban environments exhibited higher path loss and delay spread due to dense obstacles, whereas suburban areas showed relatively lower path loss but significant variability due to fewer but larger obstructions. The findings provide valuable insights for network planners and engineers, aiding in the development of more efficient and adaptive communication strategies. Enhanced models for channel prediction and system design are proposed, contributing to the advancement of next-generation wireless networks.