Outdoor-to-Indoor 28 GHz Wireless Measurements in Manhattan: Path Loss, Environmental Effects, and 90% Coverage
Manav Kohli, Abhishek Adhikari, Gulnur Avci, Sienna Brent, Aditya, Dash, Jared Moser, Sabbir Hossain, Igor Kadota, Carson Garland, Shivan, Mukherjee, Rodolfo Feick, Dmitry Chizhik, Jinfeng Du, Reinaldo A. Valenzuela,, Gil Zussman

TL;DR
This study provides extensive 28 GHz outdoor-to-indoor measurement data in Manhattan, revealing significant path loss variations, environmental impacts, and coverage capabilities crucial for mmWave network deployment in urban areas.
Contribution
It offers the first large-scale empirical measurement campaign for OtI mmWave propagation in Manhattan, quantifies environmental effects, and models coverage and data rates for urban buildings.
Findings
Path gain varies up to 40 dB for the same link distance.
Empirical path gain shows an average of 30 dB excess loss beyond 50 m.
Glass type significantly impacts OtI loss, with up to 20 dB difference.
Abstract
Outdoor-to-indoor (OtI) signal propagation further challenges the already tight link budgets at millimeter-wave (mmWave). To gain insight into OtI mmWave scenarios at 28 GHz, we conducted an extensive measurement campaign consisting of over 2,200 link measurements. In total, 43 OtI scenarios were measured in West Harlem, New York City, covering seven highly diverse buildings. The measured OtI path gain can vary by up to 40 dB for a given link distance, and the empirical path gain model for all data shows an average of 30 dB excess loss over free space at distances beyond 50 m, with an RMS fitting error of 11.7 dB. The type of glass is found to be the single dominant feature for OtI loss, with 20 dB observed difference between empirical path gain models for scenarios with low-loss and high-loss glass. The presence of scaffolding, tree foliage, or elevated subway tracks, as well as…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Power Line Communications and Noise · Advanced MIMO Systems Optimization
MethodsBalanced Selection
