Path Loss, Shadow Fading, and Line-Of-Sight Probability Models for 5G Urban Macro-Cellular Scenarios
Shu Sun, Timothy A. Thomas, Theodore S. Rappaport, Huan Nguyen, Istvan, Z. Kovacs, and Ignacio Rodrigue

TL;DR
This study evaluates key propagation parameters like LOS probability, path loss, and shadow fading for 5G urban macro-cell scenarios using measurements at multiple frequencies in the US and Denmark, aiding future network design.
Contribution
It provides comprehensive models and comparisons for LOS probability, path loss, and shadow fading specific to 5G urban macro-cell environments at various frequencies.
Findings
Dual-slope path loss model slightly reduces RMS error in NLOS conditions.
LOS shadow fading increases slightly with distance, NLOS decreases.
Significant measurement data at 38 GHz and other frequencies for urban macro-cell scenarios.
Abstract
This paper presents key parameters including the line-of-sight (LOS) probability, large-scale path loss, and shadow fading models for the design of future fifth generation (5G) wireless communication systems in urban macro-cellular (UMa) scenarios, using the data obtained from propagation measurements at 38 GHz in Austin, US, and at 2, 10, 18, and 28 GHz in Aalborg, Denmark. A comparison of different LOS probability models is performed for the Aalborg environment. Alpha-betagamma and close-in reference distance path loss models are studied in depth to show their value in channel modeling. Additionally, both single-slope and dual-slope omnidirectional path loss models are investigated to analyze and contrast their root-mean-square (RMS) errors on measured path loss values. While the results show that the dual-slope large-scale path loss model can slightly reduce RMS errors compared to…
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