Path loss models for 5G millimeter wave propagation channels in urban microcells

George R. MacCartney, Shuai Nie, Theodore S. Rappaport

2013 · 368 citations · 8 references

Concepts

TL;DR

The study develops distance‑dependent path‑loss models for 5G millimeter‑wave urban microcells to aid standardization. Measurements were performed at 28 GHz and 38 GHz in New York City and Austin, Texas, using steerable horn antennas of varying gains and beamwidths in LOS and NLOS scenarios, and the data were fit to a model comprising a distance‑dependent term, a floating intercept, and a shadowing component. The floating‑intercept model reduces shadowing by several dB, yields smaller path‑loss exponents, and provides a better fit, resulting in improved coverage compared to earlier models.

Abstract

Measurements for future outdoor cellular systems at 28 GHz and 38 GHz were conducted in urban microcellular environments in New York City and Austin, Texas, respectively. Measurements in both line-of-sight and non-line-of-sight scenarios used multiple combinations of steerable transmit and receive antennas (e.g. 24.5 dBi horn antennas with 10.9° half power beamwidths at 28 GHz, 25 dBi horn antennas with 7.8° half power beamwidths at 38 GHz, and 13.3 dBi horn antennas with 24.7° half power beamwidths at 38 GHz) at different transmit antenna heights. Based on the measured data, we present path loss models suitable for the development of fifth generation (5G) standards that show the distance dependency of received power. In this paper, path loss is expressed in easy-to-use formulas as the sum of a distant dependent path loss factor, a floating intercept, and a shadowing factor that minimizes the mean square error fit to the empirical data. The new models are compared with previous models that were limited to using a close-in free space reference distance. Here, we illustrate the differences of the two modeling approaches, and show that a floating intercept model reduces the shadow factors by several dB and offers smaller path loss exponents while simultaneously providing a better fit to the empirical data. The upshot of these new path loss models is that coverage is actually better than first suggested by work in [1], [7] and [8].

References

8