Modeling of fading figure for non-stationary indoor radio channels

Abstract

-Fading models of practical mobile radio channel may change over time and/or due to mobility being Rice, Rayleigh, doubleRayleigh, etc, depending on the nature of radio wave propagation, which results in a non-stationary channel. This work is based on investigation of fading figure (FF) that addresses non-stationarity nature of radio channels. The FF is represented by the parameter m of Nakagami-m distribution. For an indoor environment system, our results show the parameter m, which can be modeled as a generalized extreme value distribution. . The statistical distribution model of parameter m can be used to study performance of wireless communication system under non-stationary radio channels.

Fifth-Generation (5G) mmWave Spatial Channel Characterization for Urban Environments’ System Analysis

“…Figure 12 displays the values of the μ parameter (top) of the fitted Log-normal distribution for the outdoor scenario and 80° beam width (Case II). The parameter μ of a Log-normal distribution can be used as a large-scale path-loss and fading figure to describe the power loss degree (or level) experienced by a signal which propagates in a multipath channel [ 59 ]. The lower the value of the μ parameter, the greater the power loss, note how the value of μ decreases with the distance to the transmitter antenna.…”