Paper Info
Title
On Ultra Wideband Indoor Channel Modeling Based on Generalized Gamma Distribution
Abstract
When the wireless signal propagates between the transmitter (Tx) and the receiver (Rx), it will undergoes many variations as diffraction, scattering or reflecting due to the presence of many obstacles along the propagation area. The objective of channel modeling is to retrieve how the signal can be distorted or attenuated. In this paper, a statistical model was established to characterize indoor Ultra WideBand channel, based on measurements campaign which has been performed within the whyless.com project by the IMST group. The amplitude of narrowband channel was found to be well-fitted by Rayleigh or Rice distribution depending on the obstruction of the line of sight or not. Herein, the adopted approach consists to model separately the shadowing and the deep fading that occur when the Tx---Rx distance varies within large or small area. For the shadow fading a twofold exponential decay was suggested, providing excellent fit to the estimated averaged power delay profile. For the Small scale fading, the proposed model employs the Generalized Gamma distribution $$(\text{ G }\varGamma \text{ D })$$(GΓD) as a flexible model including many of well-known distributions as special cases. The process of modeling was presented finally and validated by comparing simulated and experimented channel parameters.
Year
DOI
Venue
2014
10.1007/s11277-013-1304-8
Wireless Personal Communications
Keywords
Field
DocType
small scale fading,indoor ultra wideband channel,generalized gamma distribution,statistical model,ultra wideband indoor channel,narrowband channel,channel modeling,deep fading,flexible model,channel parameter
Narrowband,Telecommunications,Computational physics,Computer science,Fading,Communication channel,Real-time computing,Rice distribution,Fading distribution,Power delay profile,Generalized gamma distribution,Channel state information
Journal
Volume
Issue
ISSN
74
2
1572-834X
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Zakaria Mohammadi111.06
Rachid Saadane22211.94
Driss Aboutajdine358988.82