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Stochastic Models for Multipath Fading Channels in Wireless Communications

This project introduces stochastic differential equations in order to model the long-term and short-term effects of electromagnetic waves transmitted over wireless multipath fading channels. For long-term signal transmission it is shown that the instantaneous power of the multipath components follow a mean reverting log-normal stochastic differential equation. For short-term signal transmission it is shown that the instantaneous power of the multipath components follow a mean reverting square-root diffusion process. In both cases the probability distributions are derived and the second-order statistics are computed. The ergodic properties of the instantaneous power are also investigated. These models give rise to probability distributions which are generalizations of Rayleigh, Rician, Nagakami and Log-Normal distributions.

C.D. Charalambous, N. Menemenlis


Annual Report

Mon Jun 26 21:22:20 GMT 2000