Home         Authors   Papers   Year of conference   Themes   Organizations        To MES conference

Generalized Fading Models in Cognitive Radio Networks
Authors
	Lesnikov V.A.
	Naumovich T.V.
	Chastikov A.V.
	Kustenko M.V.
Date of publication
	2018
DOI
	10.31114/2078-7707-2018-4-112-118
Abstract
	Fading is a signal distortion due to the heterogeneity of the communication channel, multipath propagation of radio waves, relative motion of the transmitter and receiver, shading. Traditionally, such distributions as the Rayleigh distribution, the Rice distribution (Nakagami-n), the Nakagami-m distribution, the Hoyt distribution, the Nakagami-q distribution, the Weibull distribution, the one-sided Gaussian distribution, the negative exponential distribution, the lognormal distribution distribution used to describe fading. In recent years, significant new results have been obtained in the study of physical bases of fading. Traditional fading models do not take into account new results. There was a need to complicate fading models. There appeared models that took into account such phenomena as the nonlinearity of the propagation medium, the effects of scattering of radio waves, the presence of dominant components, the cluster nature of multipath propagation, the unbalance of the quadrature components of the signal. In this paper, a structured description of nontraditional generalized fading models is presented, and the relationship between models is shown.
Keywords
	fading, generalized models, homogeneous signal propagation medium, inhomogeneous signal propagation medium, cluster structure of propagation paths.
Library reference
	Lesnikov V.A., Naumovich T.V., Chastikov A.V., Kustenko M.V. Generalized Fading Models in Cognitive Radio Networks // Problems of Perspective Micro- and Nanoelectronic Systems Development - 2018. Issue 4. P. 112-118. doi:10.31114/2078-7707-2018-4-112-118
URL of paper
	http://www.mes-conference.ru/data/year2018/pdf/D122.pdf