NDLI: Channel Model for Satellite Communication Links Above 10GHz Based on Weibull Distribution

Content Provider	IEEE Xplore Digital Library
Author	Kanellopoulos, S.A. Kourogiorgas, C.I. Panagopoulos, A.D. Livieratos, S.N. Chatzarakis, G.E.
Copyright Year	1997
Abstract	Modern satellite communication networks will employ frequencies above 10GHz. At these frequency bands, rain attenuation is the dominant fading mechanism. In this paper, a novel channel model, a synthesizer for generating rain attenuation time series for satellite links operating at 10GHz and above is presented. The proposed channel model modifies Maseng-Bakken (M-B) model since it generates rain attenuation time series that follow the Weibull distribution. The new stochastic dynamic model is based on the first-order Stochastic Differential Equations (SDEs) and considers rain attenuation induced on a slant path as a Weibull-based stochastic process. Moreover, the theoretical expressions for the computation of the exceedance probability of hitting time random variable are presented. The hitting time statistics may be employed for the optimum design of Fade Mitigation Techniques (FMTs). The synthesizer is verified in terms of the exceedance probability and the theoretical CCDF of hitting time comparing to these derived from the simulations in the numerical results section.
Starting Page	568
Ending Page	571
Page Count	4
File Size	157879
File Format	PDF
ISSN	10897798
Volume Number	18
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Attenuation Rain Weibull distribution Time series analysis Stochastic processes Synthesizers Satellite communication hitting time statistics Rain attenuation satellite communications stochastic differential equations
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Modeling and Simulation Computer Science Applications

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