A Multistate Channel Model Composed of Line-of-Sight and Semi-Line-of-Sight Propagation Environments for Millimeter-Wave Mobile Radio Systems

For outdoor millimeter-wave mobile radio systems, the main service area is expected to be in line-of-sight (LOS) and semi-line-of-sight (SLOS) environments. The modeling of propagation in a mixed LOS/SLOS environment is thus important in system design. For modeling propagation in an SLOS environment...

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Bibliographic Details
Published inIEEE transactions on antennas and propagation Vol. 69; no. 12; pp. 8731 - 8743
Main Author Karasawa, Yoshio
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Attenuation
Channel models
Environment models
Land mobile satellite service
Line of sight
Line-of-sight (LOS)
Loo distribution
Markov model
Mathematical models
Millimeter wave communication
Millimeter wave measurements
Millimeter wave propagation
Millimeter waves
multistate channel model
Nakagami-m distribution
Numerical integration
Numerical models
Parameters
Propagation
Radio transmission
Roadsides
semi-LOS (SLOS)
Service areas
Shadow mapping
Systems design
Wave propagation
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Summary:For outdoor millimeter-wave mobile radio systems, the main service area is expected to be in line-of-sight (LOS) and semi-line-of-sight (SLOS) environments. The modeling of propagation in a mixed LOS/SLOS environment is thus important in system design. For modeling propagation in an SLOS environment, the application of the Loo model developed for land mobile satellite service with roadside shadowing is promising because this model reflects the physical mechanism of radio propagation. However, the model is inconvenient in practice because its calculation involves numerical integration over an infinite range. In this article, we approximate the Loo distribution using three basic distributions, namely the Nakagami-Rice distribution (or Rician distribution), Nakagami-m distribution, and lognormal distribution. Based on the evaluation results, we propose the use of the Nakagami-m distribution in place of the Loo distribution. We demonstrate the conversion of Loo distribution parameters to Nakagami-m distribution parameters. Finally, we examine a multistate model that expresses environments composed of LOS, SLOS, and non-LOS conditions.
ISSN:0018-926X
1558-2221
DOI:10.1109/TAP.2021.3090529