mmWave Communications for Indoor Dense Spaces: Ray-Tracing Based Channel Characterization and Performance Comparison
Ozan Alp Topal, Mustafa Ozger, Dominic Schupke, Emil Bj\"ornson, Cicek, Cavdar

TL;DR
This paper uses ray-tracing simulations to characterize 28 GHz indoor dense space channels, revealing richer multipath scattering and performance differences compared to existing models.
Contribution
It provides detailed ray-tracing based channel characterization for indoor dense spaces like aircraft cabins, highlighting differences from standard models.
Findings
Richer multipath scattering in IDS channels
Similar large-scale fading to existing models
Poorer bit error rate performance in IDS
Abstract
In this paper, the indoor dense space (IDS) channel at 28 GHz is characterized through extensive Ray-Tracing (RT) simulations. We consider IDS as a specific type of indoor environment with confined geometry and packed with humans, such as aircraft cabins and train wagons. Based on RT simulations, we characterize path loss, shadow fading, root-mean-square delay spread, Rician K-factor, azimuth/elevation angular spread of arrival/departure considering different RT simulation scenarios of the fuselage geometry, material, and human presence. While the large-scale fading parameters are similar to the state-of-the-art channel models, the small-scale fading parameters demonstrate richer multipath scattering in IDS, resulting in poorer bit error rate performance in comparison to the 3GPP indoor channel model.
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Indoor and Outdoor Localization Technologies
