221 research outputs found
5G 3GPP-like Channel Models for Outdoor Urban Microcellular and Macrocellular Environments
For the development of new 5G systems to operate in bands up to 100 GHz,
there is a need for accurate radio propagation models at these bands that
currently are not addressed by existing channel models developed for bands
below 6 GHz. This document presents a preliminary overview of 5G channel models
for bands up to 100 GHz. These have been derived based on extensive measurement
and ray tracing results across a multitude of frequencies from 6 GHz to 100
GHz, and this document describes an initial 3D channel model which includes: 1)
typical deployment scenarios for urban microcells (UMi) and urban macrocells
(UMa), and 2) a baseline model for incorporating path loss, shadow fading, line
of sight probability, penetration and blockage models for the typical
scenarios. Various processing methodologies such as clustering and antenna
decoupling algorithms are also presented.Comment: To be published in 2016 IEEE 83rd Vehicular Technology Conference
Spring (VTC 2016-Spring), Nanjing, China, May 201
Propagation Path Loss Models for 5G Urban Micro- and Macro-Cellular Scenarios
This paper presents and compares two candidate large-scale propagation path
loss models, the alpha-beta-gamma (ABG) model and the close-in (CI) free space
reference distance model, for the design of fifth generation (5G) wireless
communication systems in urban micro- and macro-cellular scenarios. Comparisons
are made using the data obtained from 20 propagation measurement campaigns or
ray-tracing studies from 2 GHz to 73.5 GHz over distances ranging from 5 m to
1429 m. The results show that the one-parameter CI model has a very similar
goodness of fit (i.e., the shadow fading standard deviation) in both
line-of-sight and non-line-of-sight environments, while offering substantial
simplicity and more stable behavior across frequencies and distances, as
compared to the three-parameter ABG model. Additionally, the CI model needs
only one very subtle and simple modification to the existing 3GPP
floating-intercept path loss model (replacing a constant with a close-in free
space reference value) in order to provide greater simulation accuracy, more
simplicity, better repeatability across experiments, and higher stability
across a vast range of frequencies.Comment: in 2016 IEEE 83rd Vehicular Technology Conference (VTC2016-Spring),
May 2016, Nanjing, Chin
Investigation of Prediction Accuracy, Sensitivity, and Parameter Stability of Large-Scale Propagation Path Loss Models for 5G Wireless Communications
This paper compares three candidate large-scale propagation path loss models
for use over the entire microwave and millimeter-wave (mmWave) radio spectrum:
the alpha-beta-gamma (ABG) model, the close-in (CI) free space reference
distance model, and the CI model with a frequency-weighted path loss exponent
(CIF). Each of these models have been recently studied for use in standards
bodies such as 3GPP, and for use in the design of fifth generation (5G)
wireless systems in urban macrocell, urban microcell, and indoor office and
shopping mall scenarios. Here we compare the accuracy and sensitivity of these
models using measured data from 30 propagation measurement datasets from 2 GHz
to 73 GHz over distances ranging from 4 m to 1238 m. A series of sensitivity
analyses of the three models show that the physically-based two-parameter CI
model and three-parameter CIF model offer computational simplicity, have very
similar goodness of fit (i.e., the shadow fading standard deviation), exhibit
more stable model parameter behavior across frequencies and distances, and
yield smaller prediction error in sensitivity testing across distances and
frequencies, when compared to the four-parameter ABG model. Results show the CI
model with a 1 m close-in reference distance is suitable for outdoor
environments, while the CIF model is more appropriate for indoor modeling. The
CI and CIF models are easily implemented in existing 3GPP models by making a
very subtle modification -- by replacing a floating non-physically based
constant with a frequency-dependent constant that represents free space path
loss in the first meter of propagation.Comment: Open access available at:
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=743465
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